Merge branch 'google:master' into master

WORKSPACE

@@ -73,12 +73,9 @@ http_archive(
 http_archive(
     name = "zlib",
     build_file = "@//third_party:zlib.BUILD",
-    sha256 = "c3e5e9fdd5004dcb542feda5ee4f0ff0744628baf8ed2dd5d66f8ca1197cb1a1",
+    sha256 = "b3a24de97a8fdbc835b9833169501030b8977031bcb54b3b3ac13740f846ab30",
-    strip_prefix = "zlib-1.2.11",
+    strip_prefix = "zlib-1.2.13",
-    urls = [
+    url = "http://zlib.net/fossils/zlib-1.2.13.tar.gz",
-        "http://mirror.bazel.build/zlib.net/fossils/zlib-1.2.11.tar.gz",
-        "http://zlib.net/fossils/zlib-1.2.11.tar.gz",  # 2017-01-15
-    ],
     patches = [
         "@//third_party:zlib.diff",
     ],
@@ -157,22 +154,22 @@ http_archive(
 # 2020-08-21
 http_archive(
     name = "com_github_glog_glog",
-    strip_prefix = "glog-0a2e5931bd5ff22fd3bf8999eb8ce776f159cda6",
+    strip_prefix = "glog-3a0d4d22c5ae0b9a2216988411cfa6bf860cc372",
-    sha256 = "58c9b3b6aaa4dd8b836c0fd8f65d0f941441fb95e27212c5eeb9979cfd3592ab",
+    sha256 = "170d08f80210b82d95563f4723a15095eff1aad1863000e8eeb569c96a98fefb",
     urls = [
-        "https://github.com/google/glog/archive/0a2e5931bd5ff22fd3bf8999eb8ce776f159cda6.zip",
+        "https://github.com/google/glog/archive/3a0d4d22c5ae0b9a2216988411cfa6bf860cc372.zip",
     ],
 )
 http_archive(
     name = "com_github_glog_glog_no_gflags",
-    strip_prefix = "glog-0a2e5931bd5ff22fd3bf8999eb8ce776f159cda6",
+    strip_prefix = "glog-3a0d4d22c5ae0b9a2216988411cfa6bf860cc372",
-    sha256 = "58c9b3b6aaa4dd8b836c0fd8f65d0f941441fb95e27212c5eeb9979cfd3592ab",
+    sha256 = "170d08f80210b82d95563f4723a15095eff1aad1863000e8eeb569c96a98fefb",
     build_file = "@//third_party:glog_no_gflags.BUILD",
     urls = [
-        "https://github.com/google/glog/archive/0a2e5931bd5ff22fd3bf8999eb8ce776f159cda6.zip",
+        "https://github.com/google/glog/archive/3a0d4d22c5ae0b9a2216988411cfa6bf860cc372.zip",
     ],
     patches = [
-        "@//third_party:com_github_glog_glog_9779e5ea6ef59562b030248947f787d1256132ae.diff",
+        "@//third_party:com_github_glog_glog.diff",
     ],
     patch_args = [
         "-p1",
@@ -485,9 +482,10 @@ http_archive(
 )
 
 # TensorFlow repo should always go after the other external dependencies.
-# TF on 2023-05-26.
+# TF on 2023-07-26.
-_TENSORFLOW_GIT_COMMIT = "67d5c561981edc45daf3f9d73ddd1a77963733ca"
+_TENSORFLOW_GIT_COMMIT = "e92261fd4cec0b726692081c4d2966b75abf31dd"
-_TENSORFLOW_SHA256 = "0c8326285e9cb695313e194b97d388eea70bf8bf5b13e8f0962ca8eed5179ece"
+# curl -L https://github.com/tensorflow/tensorflow/archive/<TENSORFLOW_GIT_COMMIT>.tar.gz | shasum -a 256
+_TENSORFLOW_SHA256 = "478a229bd4ec70a5b568ac23b5ea013d9fca46a47d6c43e30365a0412b9febf4"
 http_archive(
     name = "org_tensorflow",
     urls = [
@@ -495,6 +493,7 @@ http_archive(
     ],
     patches = [
         "@//third_party:org_tensorflow_compatibility_fixes.diff",
+        "@//third_party:org_tensorflow_system_python.diff",
         # Diff is generated with a script, don't update it manually.
         "@//third_party:org_tensorflow_custom_ops.diff",
     ],

docs/getting_started/hello_world_cpp.md

@@ -50,7 +50,7 @@ as the primary developer documentation site for MediaPipe as of April 3, 2023.*
 3.  The [`hello world`] example uses a simple MediaPipe graph in the
     `PrintHelloWorld()` function, defined in a [`CalculatorGraphConfig`] proto.
 
-    ```C++
+    ```c++
     absl::Status PrintHelloWorld() {
       // Configures a simple graph, which concatenates 2 PassThroughCalculators.
       CalculatorGraphConfig config = ParseTextProtoOrDie<CalculatorGraphConfig>(R"(
@@ -126,7 +126,7 @@ as the primary developer documentation site for MediaPipe as of April 3, 2023.*
     ```c++
     mediapipe::Packet packet;
     while (poller.Next(&packet)) {
-      LOG(INFO) << packet.Get<string>();
+      ABSL_LOG(INFO) << packet.Get<string>();
     }
     ```
 

docs/getting_started/hello_world_ios.md

@@ -138,7 +138,7 @@ Create a `BUILD` file in the `$APPLICATION_PATH` and add the following build
 rules:
 
 ```
-MIN_IOS_VERSION = "11.0"
+MIN_IOS_VERSION = "12.0"
 
 load(
     "@build_bazel_rules_apple//apple:ios.bzl",

mediapipe/BUILD

@@ -14,81 +14,155 @@
 
 licenses(["notice"])  # Apache 2.0
 
-# Note: yes, these need to use "//external:android/crosstool", not
+load("@mediapipe//mediapipe:platforms.bzl", "config_setting_and_platform")
-# @androidndk//:default_crosstool.
 
+# Generic Android
 config_setting(
     name = "android",
-    values = {"crosstool_top": "//external:android/crosstool"},
+    constraint_values = [
+        "@platforms//os:android",
+    ],
     visibility = ["//visibility:public"],
 )
 
-config_setting(
+# Android x86 32-bit.
+config_setting_and_platform(
     name = "android_x86",
-    values = {
+    constraint_values = [
-        "crosstool_top": "//external:android/crosstool",
+        "@platforms//os:android",
-        "cpu": "x86",
+        "@platforms//cpu:x86_32",
-    },
+    ],
     visibility = ["//visibility:public"],
 )
 
-config_setting(
+# Android x86 64-bit.
+config_setting_and_platform(
     name = "android_x86_64",
-    values = {
+    constraint_values = [
-        "crosstool_top": "//external:android/crosstool",
+        "@platforms//os:android",
-        "cpu": "x86_64",
+        "@platforms//cpu:x86_64",
-    },
+    ],
     visibility = ["//visibility:public"],
 )
 
-config_setting(
+# Android ARMv7.
-    name = "android_armeabi",
+config_setting_and_platform(
-    values = {
-        "crosstool_top": "//external:android/crosstool",
-        "cpu": "armeabi",
-    },
-    visibility = ["//visibility:public"],
-)
-
-config_setting(
     name = "android_arm",
-    values = {
+    constraint_values = [
-        "crosstool_top": "//external:android/crosstool",
+        "@platforms//os:android",
-        "cpu": "armeabi-v7a",
+        "@platforms//cpu:armv7",
-    },
+    ],
     visibility = ["//visibility:public"],
 )
 
-config_setting(
+# Android ARM64.
+config_setting_and_platform(
     name = "android_arm64",
-    values = {
+    constraint_values = [
-        "crosstool_top": "//external:android/crosstool",
+        "@platforms//os:android",
-        "cpu": "arm64-v8a",
+        "@platforms//cpu:arm64",
-    },
+    ],
     visibility = ["//visibility:public"],
 )
 
-# Note: this cannot just match "apple_platform_type": "macos" because that option
+# Generic MacOS.
-# defaults to "macos" even when building on Linux!
+config_setting(
-alias(
     name = "macos",
-    actual = select({
+    constraint_values = [
-        ":macos_i386": ":macos_i386",
+        "@platforms//os:macos",
-        ":macos_x86_64": ":macos_x86_64",
+    ],
-        ":macos_arm64": ":macos_arm64",
-        "//conditions:default": ":macos_i386",  # Arbitrarily chosen from above.
-    }),
     visibility = ["//visibility:public"],
 )
 
-# Note: this also matches on crosstool_top so that it does not produce ambiguous
+# MacOS x86 64-bit.
-# selectors when used together with "android".
+config_setting_and_platform(
+    name = "macos_x86_64",
+    constraint_values = [
+        "@platforms//os:macos",
+        "@platforms//cpu:x86_64",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# MacOS ARM64.
+config_setting_and_platform(
+    name = "macos_arm64",
+    constraint_values = [
+        "@platforms//os:macos",
+        "@platforms//cpu:arm64",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# Generic iOS.
 config_setting(
     name = "ios",
-    values = {
+    constraint_values = [
-        "crosstool_top": "@bazel_tools//tools/cpp:toolchain",
+        "@platforms//os:ios",
-        "apple_platform_type": "ios",
+    ],
-    },
+    visibility = ["//visibility:public"],
+)
+
+# iOS device ARM32.
+config_setting_and_platform(
+    name = "ios_armv7",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:arm",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# iOS device ARM64.
+config_setting_and_platform(
+    name = "ios_arm64",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:arm64",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# iOS device ARM64E.
+config_setting_and_platform(
+    name = "ios_arm64e",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:arm64e",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# iOS simulator x86 32-bit.
+config_setting_and_platform(
+    name = "ios_i386",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:x86_32",
+        "@build_bazel_apple_support//constraints:simulator",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# iOS simulator x86 64-bit.
+config_setting_and_platform(
+    name = "ios_x86_64",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:x86_64",
+        "@build_bazel_apple_support//constraints:simulator",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# iOS simulator ARM64.
+config_setting_and_platform(
+    name = "ios_sim_arm64",
+    constraint_values = [
+        "@platforms//os:ios",
+        "@platforms//cpu:arm64",
+        "@build_bazel_apple_support//constraints:simulator",
+    ],
     visibility = ["//visibility:public"],
 )
 
@@ -102,52 +176,24 @@ alias(
     visibility = ["//visibility:public"],
 )
 
-config_setting(
+# Windows 64-bit.
-    name = "macos_i386",
+config_setting_and_platform(
-    values = {
-        "apple_platform_type": "macos",
-        "cpu": "darwin",
-    },
-    visibility = ["//visibility:public"],
-)
-
-config_setting(
-    name = "macos_x86_64",
-    values = {
-        "apple_platform_type": "macos",
-        "cpu": "darwin_x86_64",
-    },
-    visibility = ["//visibility:public"],
-)
-
-config_setting(
-    name = "macos_arm64",
-    values = {
-        "apple_platform_type": "macos",
-        "cpu": "darwin_arm64",
-    },
-    visibility = ["//visibility:public"],
-)
-
-[
-    config_setting(
-        name = arch,
-        values = {"cpu": arch},
-        visibility = ["//visibility:public"],
-    )
-    for arch in [
-        "ios_i386",
-        "ios_x86_64",
-        "ios_armv7",
-        "ios_arm64",
-        "ios_arm64e",
-        "ios_sim_arm64",
-    ]
-]
-
-config_setting(
     name = "windows",
-    values = {"cpu": "x64_windows"},
+    constraint_values = [
+        "@platforms//os:windows",
+        "@platforms//cpu:x86_64",
+    ],
+    visibility = ["//visibility:public"],
+)
+
+# Linux 64-bit.
+config_setting_and_platform(
+    name = "linux",
+    constraint_values = [
+        "@platforms//os:linux",
+        "@platforms//cpu:x86_64",
+    ],
+    visibility = ["//visibility:public"],
 )
 
 exports_files(

mediapipe/calculators/audio/BUILD

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# Placeholder: load py_proto_library
 load("//mediapipe/framework/port:build_config.bzl", "mediapipe_cc_proto_library")
 
 licenses(["notice"])
@@ -145,6 +146,7 @@ cc_library(
         "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:time_series_util",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings",
         "@com_google_audio_tools//audio/dsp/mfcc",
         "@eigen_archive//:eigen3",
@@ -163,8 +165,9 @@ cc_library(
         "//mediapipe/framework/formats:matrix",
         "//mediapipe/framework/formats:time_series_header_cc_proto",
         "//mediapipe/framework/port:integral_types",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/util:time_series_util",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
         "@com_google_audio_tools//audio/dsp:resampler",
         "@com_google_audio_tools//audio/dsp:resampler_q",
@@ -185,6 +188,7 @@ cc_library(
         "//mediapipe/framework/port:core_proto",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:time_series_util",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -219,13 +223,12 @@ cc_library(
     deps = [
         ":time_series_framer_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:timestamp",
         "//mediapipe/framework/formats:matrix",
         "//mediapipe/framework/formats:time_series_header_cc_proto",
-        "//mediapipe/framework/port:integral_types",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
-        "//mediapipe/framework/port:status",
         "//mediapipe/util:time_series_util",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_audio_tools//audio/dsp:window_functions",
         "@eigen_archive//:eigen3",
     ],
@@ -296,6 +299,7 @@ cc_test(
         "//mediapipe/framework/port:integral_types",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:time_series_test_util",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_audio_tools//audio/dsp:number_util",
         "@eigen_archive//:eigen3",
     ],
@@ -319,6 +323,21 @@ cc_test(
     ],
 )
 
+cc_binary(
+    name = "time_series_framer_calculator_benchmark",
+    srcs = ["time_series_framer_calculator_benchmark.cc"],
+    deps = [
+        ":time_series_framer_calculator",
+        ":time_series_framer_calculator_cc_proto",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework:packet",
+        "//mediapipe/framework/formats:matrix",
+        "//mediapipe/framework/formats:time_series_header_cc_proto",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_benchmark//:benchmark",
+    ],
+)
+
 cc_test(
     name = "time_series_framer_calculator_test",
     srcs = ["time_series_framer_calculator_test.cc"],
@@ -333,6 +352,7 @@ cc_test(
         "//mediapipe/framework/port:integral_types",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:time_series_test_util",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_audio_tools//audio/dsp:window_functions",
         "@eigen_archive//:eigen3",
     ],

mediapipe/calculators/audio/mfcc_mel_calculators.cc

@@ -23,6 +23,7 @@
 #include <vector>
 
 #include "Eigen/Core"
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/string_view.h"
 #include "absl/strings/substitute.h"
@@ -138,7 +139,7 @@ absl::Status FramewiseTransformCalculatorBase::Process(CalculatorContext* cc) {
     TransformFrame(input_frame, &output_frame);
 
     // Copy output from vector<float> to Eigen::Vector.
-    CHECK_EQ(output_frame.size(), num_output_channels_);
+    ABSL_CHECK_EQ(output_frame.size(), num_output_channels_);
     Eigen::Map<const Eigen::MatrixXd> output_frame_map(&output_frame[0],
                                                        output_frame.size(), 1);
     output->col(frame) = output_frame_map.cast<float>();

mediapipe/calculators/audio/rational_factor_resample_calculator.cc

@@ -16,6 +16,8 @@
 
 #include "mediapipe/calculators/audio/rational_factor_resample_calculator.h"
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "audio/dsp/resampler_q.h"
 
 using audio_dsp::Resampler;
@@ -45,9 +47,9 @@ void CopyVectorToChannel(const std::vector<float>& vec, Matrix* matrix,
   if (matrix->cols() == 0) {
     matrix->resize(matrix->rows(), vec.size());
   } else {
-    CHECK_EQ(vec.size(), matrix->cols());
+    ABSL_CHECK_EQ(vec.size(), matrix->cols());
   }
-  CHECK_LT(channel, matrix->rows());
+  ABSL_CHECK_LT(channel, matrix->rows());
   matrix->row(channel) =
       Eigen::Map<const Eigen::ArrayXf>(vec.data(), vec.size());
 }
@@ -77,7 +79,7 @@ absl::Status RationalFactorResampleCalculator::Open(CalculatorContext* cc) {
       r = ResamplerFromOptions(source_sample_rate_, target_sample_rate_,
                                resample_options);
       if (!r) {
-        LOG(ERROR) << "Failed to initialize resampler.";
+        ABSL_LOG(ERROR) << "Failed to initialize resampler.";
         return absl::UnknownError("Failed to initialize resampler.");
       }
     }

mediapipe/calculators/audio/rational_factor_resample_calculator.h

@@ -27,7 +27,6 @@
 #include "mediapipe/framework/formats/matrix.h"
 #include "mediapipe/framework/formats/time_series_header.pb.h"
 #include "mediapipe/framework/port/integral_types.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/util/time_series_util.h"
 
 namespace mediapipe {

mediapipe/calculators/audio/spectrogram_calculator.cc

@@ -210,6 +210,23 @@ REGISTER_CALCULATOR(SpectrogramCalculator);
 // Factor to convert ln(SQUARED_MAGNITUDE) to deciBels = 10.0/ln(10.0).
 const float SpectrogramCalculator::kLnSquaredMagnitudeToDb = 4.342944819032518;
 
+namespace {
+std::unique_ptr<audio_dsp::WindowFunction> MakeWindowFun(
+    const SpectrogramCalculatorOptions::WindowType window_type) {
+  switch (window_type) {
+    // The cosine window and square root of Hann are equivalent.
+    case SpectrogramCalculatorOptions::COSINE:
+    case SpectrogramCalculatorOptions::SQRT_HANN:
+      return std::make_unique<audio_dsp::CosineWindow>();
+    case SpectrogramCalculatorOptions::HANN:
+      return std::make_unique<audio_dsp::HannWindow>();
+    case SpectrogramCalculatorOptions::HAMMING:
+      return std::make_unique<audio_dsp::HammingWindow>();
+  }
+  return nullptr;
+}
+}  // namespace
+
 absl::Status SpectrogramCalculator::Open(CalculatorContext* cc) {
   SpectrogramCalculatorOptions spectrogram_options =
       cc->Options<SpectrogramCalculatorOptions>();
@@ -266,28 +283,14 @@ absl::Status SpectrogramCalculator::Open(CalculatorContext* cc) {
 
   output_scale_ = spectrogram_options.output_scale();
 
+  auto window_fun = MakeWindowFun(spectrogram_options.window_type());
+  if (window_fun == nullptr) {
+    return absl::Status(absl::StatusCode::kInvalidArgument,
+                        absl::StrCat("Invalid window type ",
+                                     spectrogram_options.window_type()));
+  }
   std::vector<double> window;
-  switch (spectrogram_options.window_type()) {
+  window_fun->GetPeriodicSamples(frame_duration_samples_, &window);
-    case SpectrogramCalculatorOptions::COSINE:
-      audio_dsp::CosineWindow().GetPeriodicSamples(frame_duration_samples_,
-                                                   &window);
-      break;
-    case SpectrogramCalculatorOptions::HANN:
-      audio_dsp::HannWindow().GetPeriodicSamples(frame_duration_samples_,
-                                                 &window);
-      break;
-    case SpectrogramCalculatorOptions::HAMMING:
-      audio_dsp::HammingWindow().GetPeriodicSamples(frame_duration_samples_,
-                                                    &window);
-      break;
-    case SpectrogramCalculatorOptions::SQRT_HANN: {
-      audio_dsp::HannWindow().GetPeriodicSamples(frame_duration_samples_,
-                                                 &window);
-      absl::c_transform(window, window.begin(),
-                        [](double x) { return std::sqrt(x); });
-      break;
-    }
-  }
 
   // Propagate settings down to the actual Spectrogram object.
   spectrogram_generators_.clear();

mediapipe/calculators/audio/spectrogram_calculator.proto

@@ -68,7 +68,7 @@ message SpectrogramCalculatorOptions {
     HANN = 0;
     HAMMING = 1;
     COSINE = 2;
-    SQRT_HANN = 4;
+    SQRT_HANN = 4;  // Alias of COSINE.
   }
   optional WindowType window_type = 6 [default = HANN];
 

mediapipe/calculators/audio/spectrogram_calculator_test.cc

@@ -22,6 +22,7 @@
 #include <vector>
 
 #include "Eigen/Core"
+#include "absl/log/absl_log.h"
 #include "audio/dsp/number_util.h"
 #include "mediapipe/calculators/audio/spectrogram_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -882,9 +883,9 @@ void BM_ProcessDC(benchmark::State& state) {
 
   const CalculatorRunner::StreamContents& output = runner.Outputs().Index(0);
   const Matrix& output_matrix = output.packets[0].Get<Matrix>();
-  LOG(INFO) << "Output matrix=" << output_matrix.rows() << "x"
+  ABSL_LOG(INFO) << "Output matrix=" << output_matrix.rows() << "x"
                  << output_matrix.cols();
-  LOG(INFO) << "First values=" << output_matrix(0, 0) << ", "
+  ABSL_LOG(INFO) << "First values=" << output_matrix(0, 0) << ", "
                  << output_matrix(1, 0) << ", " << output_matrix(2, 0) << ", "
                  << output_matrix(3, 0);
 }

mediapipe/calculators/audio/stabilized_log_calculator.cc

@@ -18,6 +18,7 @@
 #include <memory>
 #include <string>
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/audio/stabilized_log_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/matrix.h"
@@ -59,7 +60,7 @@ class StabilizedLogCalculator : public CalculatorBase {
     output_scale_ = stabilized_log_calculator_options.output_scale();
     check_nonnegativity_ =
         stabilized_log_calculator_options.check_nonnegativity();
-    CHECK_GE(stabilizer_, 0.0)
+    ABSL_CHECK_GE(stabilizer_, 0.0)
         << "stabilizer must be >= 0.0, received a value of " << stabilizer_;
 
     // If the input packets have a header, propagate the header to the output.

mediapipe/calculators/audio/time_series_framer_calculator.cc

@@ -15,19 +15,17 @@
 // Defines TimeSeriesFramerCalculator.
 #include <math.h>
 
-#include <deque>
+#include <vector>
-#include <memory>
-#include <string>
 
 #include "Eigen/Core"
+#include "absl/log/absl_check.h"
 #include "audio/dsp/window_functions.h"
 #include "mediapipe/calculators/audio/time_series_framer_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/matrix.h"
 #include "mediapipe/framework/formats/time_series_header.pb.h"
-#include "mediapipe/framework/port/integral_types.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
+#include "mediapipe/framework/timestamp.h"
 #include "mediapipe/util/time_series_util.h"
 
 namespace mediapipe {
@@ -88,11 +86,6 @@ class TimeSeriesFramerCalculator : public CalculatorBase {
   absl::Status Close(CalculatorContext* cc) override;
 
  private:
-  // Adds input data to the internal buffer.
-  void EnqueueInput(CalculatorContext* cc);
-  // Constructs and emits framed output packets.
-  void FrameOutput(CalculatorContext* cc);
-
   Timestamp CurrentOutputTimestamp() {
     if (use_local_timestamp_) {
       return current_timestamp_;
@@ -106,21 +99,13 @@ class TimeSeriesFramerCalculator : public CalculatorBase {
                  Timestamp::kTimestampUnitsPerSecond);
   }
 
-  // Returns the timestamp of a sample on a base, which is usually the time
-  // stamp of a packet.
-  Timestamp CurrentSampleTimestamp(const Timestamp& timestamp_base,
-                                   int64_t number_of_samples) {
-    return timestamp_base + round(number_of_samples / sample_rate_ *
-                                  Timestamp::kTimestampUnitsPerSecond);
-  }
-
   // The number of input samples to advance after the current output frame is
   // emitted.
   int next_frame_step_samples() const {
     // All numbers are in input samples.
     const int64_t current_output_frame_start = static_cast<int64_t>(
         round(cumulative_output_frames_ * average_frame_step_samples_));
-    CHECK_EQ(current_output_frame_start, cumulative_completed_samples_);
+    ABSL_CHECK_EQ(current_output_frame_start, cumulative_completed_samples_);
     const int64_t next_output_frame_start = static_cast<int64_t>(
         round((cumulative_output_frames_ + 1) * average_frame_step_samples_));
     return next_output_frame_start - current_output_frame_start;
@@ -142,61 +127,174 @@ class TimeSeriesFramerCalculator : public CalculatorBase {
   Timestamp initial_input_timestamp_;
   // The current timestamp is updated along with the incoming packets.
   Timestamp current_timestamp_;
-  int num_channels_;
 
-  // Each entry in this deque consists of a single sample, i.e. a
+  // Samples are buffered in a vector of sample blocks.
-  // single column vector, and its timestamp.
+  class SampleBlockBuffer {
-  std::deque<std::pair<Matrix, Timestamp>> sample_buffer_;
+   public:
+    // Initializes the buffer.
+    void Init(double sample_rate, int num_channels) {
+      ts_units_per_sample_ = Timestamp::kTimestampUnitsPerSecond / sample_rate;
+      num_channels_ = num_channels;
+      num_samples_ = 0;
+      first_block_offset_ = 0;
+    }
+
+    // Number of channels, equal to the number of rows in each Matrix.
+    int num_channels() const { return num_channels_; }
+    // Total number of available samples over all blocks.
+    int num_samples() const { return num_samples_; }
+
+    // Pushes a new block of samples on the back of the buffer with `timestamp`
+    // being the input timestamp of the packet containing the Matrix.
+    void Push(const Matrix& samples, Timestamp timestamp);
+    // Copies `count` samples from the front of the buffer. If there are fewer
+    // samples than this, the result is zero padded to have `count` samples.
+    // The timestamp of the last copied sample is written to *last_timestamp.
+    // This output is used below to update `current_timestamp_`, which is only
+    // used when `use_local_timestamp` is true.
+    Matrix CopySamples(int count, Timestamp* last_timestamp) const;
+    // Drops `count` samples from the front of the buffer. If `count` exceeds
+    // `num_samples()`, the buffer is emptied.  Returns how many samples were
+    // dropped.
+    int DropSamples(int count);
+
+   private:
+    struct Block {
+      // Matrix of num_channels rows by num_samples columns, a block of possibly
+      // multiple samples.
+      Matrix samples;
+      // Timestamp of the first sample in the Block. This comes from the input
+      // packet's timestamp that contains this Matrix.
+      Timestamp timestamp;
+
+      Block() : timestamp(Timestamp::Unstarted()) {}
+      Block(const Matrix& samples, Timestamp timestamp)
+          : samples(samples), timestamp(timestamp) {}
+      int num_samples() const { return samples.cols(); }
+    };
+    std::vector<Block> blocks_;
+    // Number of timestamp units per sample. Used to compute timestamps as
+    // nth sample timestamp = base_timestamp + round(ts_units_per_sample_ * n).
+    double ts_units_per_sample_;
+    // Number of rows in each Matrix.
+    int num_channels_;
+    // The total number of samples over all blocks, equal to
+    // (sum_i blocks_[i].num_samples()) - first_block_offset_.
+    int num_samples_;
+    // The number of samples in the first block that have been discarded. This
+    // way we can cheaply represent "partially discarding" a block.
+    int first_block_offset_;
+  } sample_buffer_;
 
   bool use_window_;
-  Matrix window_;
+  Eigen::RowVectorXf window_;
 
   bool use_local_timestamp_;
 };
 REGISTER_CALCULATOR(TimeSeriesFramerCalculator);
 
-void TimeSeriesFramerCalculator::EnqueueInput(CalculatorContext* cc) {
+void TimeSeriesFramerCalculator::SampleBlockBuffer::Push(const Matrix& samples,
-  const Matrix& input_frame = cc->Inputs().Index(0).Get<Matrix>();
+                                                         Timestamp timestamp) {
-
+  num_samples_ += samples.cols();
-  for (int i = 0; i < input_frame.cols(); ++i) {
+  blocks_.emplace_back(samples, timestamp);
-    sample_buffer_.emplace_back(std::make_pair(
-        input_frame.col(i), CurrentSampleTimestamp(cc->InputTimestamp(), i)));
-  }
 }
 
-void TimeSeriesFramerCalculator::FrameOutput(CalculatorContext* cc) {
+Matrix TimeSeriesFramerCalculator::SampleBlockBuffer::CopySamples(
-  while (sample_buffer_.size() >=
+    int count, Timestamp* last_timestamp) const {
+  Matrix copied(num_channels_, count);
+
+  if (!blocks_.empty()) {
+    int num_copied = 0;
+    // First block has an offset for samples that have been discarded.
+    int offset = first_block_offset_;
+    int n;
+    Timestamp last_block_ts;
+    int last_sample_index;
+
+    for (auto it = blocks_.begin(); it != blocks_.end() && count > 0; ++it) {
+      n = std::min(it->num_samples() - offset, count);
+      // Copy `n` samples from the next block.
+      copied.middleCols(num_copied, n) = it->samples.middleCols(offset, n);
+      count -= n;
+      num_copied += n;
+      last_block_ts = it->timestamp;
+      last_sample_index = offset + n - 1;
+      offset = 0;  // No samples have been discarded in subsequent blocks.
+    }
+
+    // Compute the timestamp of the last copied sample.
+    *last_timestamp =
+        last_block_ts + std::round(ts_units_per_sample_ * last_sample_index);
+  }
+
+  if (count > 0) {
+    copied.rightCols(count).setZero();  // Zero pad if needed.
+  }
+
+  return copied;
+}
+
+int TimeSeriesFramerCalculator::SampleBlockBuffer::DropSamples(int count) {
+  if (blocks_.empty()) {
+    return 0;
+  }
+
+  auto block_it = blocks_.begin();
+  if (first_block_offset_ + count < block_it->num_samples()) {
+    // `count` is less than the remaining samples in the first block.
+    first_block_offset_ += count;
+    num_samples_ -= count;
+    return count;
+  }
+
+  int num_samples_dropped = block_it->num_samples() - first_block_offset_;
+  count -= num_samples_dropped;
+  first_block_offset_ = 0;
+
+  for (++block_it; block_it != blocks_.end(); ++block_it) {
+    if (block_it->num_samples() > count) {
+      break;
+    }
+    num_samples_dropped += block_it->num_samples();
+    count -= block_it->num_samples();
+  }
+
+  blocks_.erase(blocks_.begin(), block_it);  // Drop whole blocks.
+  if (!blocks_.empty()) {
+    first_block_offset_ = count;  // Drop part of the next block.
+    num_samples_dropped += count;
+  }
+
+  num_samples_ -= num_samples_dropped;
+  return num_samples_dropped;
+}
+
+absl::Status TimeSeriesFramerCalculator::Process(CalculatorContext* cc) {
+  if (initial_input_timestamp_ == Timestamp::Unstarted()) {
+    initial_input_timestamp_ = cc->InputTimestamp();
+    current_timestamp_ = initial_input_timestamp_;
+  }
+
+  // Add input data to the internal buffer.
+  sample_buffer_.Push(cc->Inputs().Index(0).Get<Matrix>(),
+                      cc->InputTimestamp());
+
+  // Construct and emit framed output packets.
+  while (sample_buffer_.num_samples() >=
          frame_duration_samples_ + samples_still_to_drop_) {
-    while (samples_still_to_drop_ > 0) {
+    sample_buffer_.DropSamples(samples_still_to_drop_);
-      sample_buffer_.pop_front();
+    Matrix output_frame = sample_buffer_.CopySamples(frame_duration_samples_,
-      --samples_still_to_drop_;
+                                                     &current_timestamp_);
-    }
     const int frame_step_samples = next_frame_step_samples();
-    std::unique_ptr<Matrix> output_frame(
+    samples_still_to_drop_ = frame_step_samples;
-        new Matrix(num_channels_, frame_duration_samples_));
-    for (int i = 0; i < std::min(frame_step_samples, frame_duration_samples_);
-         ++i) {
-      output_frame->col(i) = sample_buffer_.front().first;
-      current_timestamp_ = sample_buffer_.front().second;
-      sample_buffer_.pop_front();
-    }
-    const int frame_overlap_samples =
-        frame_duration_samples_ - frame_step_samples;
-    if (frame_overlap_samples > 0) {
-      for (int i = 0; i < frame_overlap_samples; ++i) {
-        output_frame->col(i + frame_step_samples) = sample_buffer_[i].first;
-        current_timestamp_ = sample_buffer_[i].second;
-      }
-    } else {
-      samples_still_to_drop_ = -frame_overlap_samples;
-    }
 
     if (use_window_) {
-      *output_frame = (output_frame->array() * window_.array()).matrix();
+      // Apply the window to each row of output_frame.
+      output_frame.array().rowwise() *= window_.array();
     }
 
-    cc->Outputs().Index(0).Add(output_frame.release(),
+    cc->Outputs().Index(0).AddPacket(MakePacket<Matrix>(std::move(output_frame))
-                               CurrentOutputTimestamp());
+                                         .At(CurrentOutputTimestamp()));
     ++cumulative_output_frames_;
     cumulative_completed_samples_ += frame_step_samples;
   }
@@ -206,35 +304,18 @@ void TimeSeriesFramerCalculator::FrameOutput(CalculatorContext* cc) {
     // fact to enable packet queueing optimizations.
     cc->Outputs().Index(0).SetNextTimestampBound(CumulativeOutputTimestamp());
   }
-}
-
-absl::Status TimeSeriesFramerCalculator::Process(CalculatorContext* cc) {
-  if (initial_input_timestamp_ == Timestamp::Unstarted()) {
-    initial_input_timestamp_ = cc->InputTimestamp();
-    current_timestamp_ = initial_input_timestamp_;
-  }
-
-  EnqueueInput(cc);
-  FrameOutput(cc);
 
   return absl::OkStatus();
 }
 
 absl::Status TimeSeriesFramerCalculator::Close(CalculatorContext* cc) {
-  while (samples_still_to_drop_ > 0 && !sample_buffer_.empty()) {
+  sample_buffer_.DropSamples(samples_still_to_drop_);
-    sample_buffer_.pop_front();
-    --samples_still_to_drop_;
-  }
-  if (!sample_buffer_.empty() && pad_final_packet_) {
-    std::unique_ptr<Matrix> output_frame(new Matrix);
-    output_frame->setZero(num_channels_, frame_duration_samples_);
-    for (int i = 0; i < sample_buffer_.size(); ++i) {
-      output_frame->col(i) = sample_buffer_[i].first;
-      current_timestamp_ = sample_buffer_[i].second;
-    }
 
-    cc->Outputs().Index(0).Add(output_frame.release(),
+  if (sample_buffer_.num_samples() > 0 && pad_final_packet_) {
-                               CurrentOutputTimestamp());
+    Matrix output_frame = sample_buffer_.CopySamples(frame_duration_samples_,
+                                                     &current_timestamp_);
+    cc->Outputs().Index(0).AddPacket(MakePacket<Matrix>(std::move(output_frame))
+                                         .At(CurrentOutputTimestamp()));
   }
 
   return absl::OkStatus();
@@ -258,7 +339,7 @@ absl::Status TimeSeriesFramerCalculator::Open(CalculatorContext* cc) {
       cc->Inputs().Index(0).Header(), &input_header));
 
   sample_rate_ = input_header.sample_rate();
-  num_channels_ = input_header.num_channels();
+  sample_buffer_.Init(sample_rate_, input_header.num_channels());
   frame_duration_samples_ = time_series_util::SecondsToSamples(
       framer_options.frame_duration_seconds(), sample_rate_);
   RET_CHECK_GT(frame_duration_samples_, 0)
@@ -312,8 +393,7 @@ absl::Status TimeSeriesFramerCalculator::Open(CalculatorContext* cc) {
   }
 
   if (use_window_) {
-    window_ = Matrix::Ones(num_channels_, 1) *
+    window_ = Eigen::Map<Eigen::RowVectorXd>(window_vector.data(),
-              Eigen::Map<Eigen::MatrixXd>(window_vector.data(), 1,
                                              frame_duration_samples_)
                   .cast<float>();
   }

mediapipe/calculators/audio/time_series_framer_calculator_benchmark.cc

@@ -0,0 +1,93 @@
+// Copyright 2023 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Benchmark for TimeSeriesFramerCalculator.
+#include <memory>
+#include <random>
+#include <vector>
+
+#include "absl/log/absl_check.h"
+#include "benchmark/benchmark.h"
+#include "mediapipe/calculators/audio/time_series_framer_calculator.pb.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/formats/matrix.h"
+#include "mediapipe/framework/formats/time_series_header.pb.h"
+#include "mediapipe/framework/packet.h"
+
+using ::mediapipe::Matrix;
+
+void BM_TimeSeriesFramerCalculator(benchmark::State& state) {
+  constexpr float kSampleRate = 32000.0;
+  constexpr int kNumChannels = 2;
+  constexpr int kFrameDurationSeconds = 5.0;
+  std::mt19937 rng(0 /*seed*/);
+  // Input around a half second's worth of samples at a time.
+  std::uniform_int_distribution<int> input_size_dist(15000, 17000);
+  // Generate a pool of random blocks of samples up front.
+  std::vector<Matrix> sample_pool;
+  sample_pool.reserve(20);
+  for (int i = 0; i < 20; ++i) {
+    sample_pool.push_back(Matrix::Random(kNumChannels, input_size_dist(rng)));
+  }
+  std::uniform_int_distribution<int> pool_index_dist(0, sample_pool.size() - 1);
+
+  mediapipe::CalculatorGraphConfig config;
+  config.add_input_stream("input");
+  config.add_output_stream("output");
+  auto* node = config.add_node();
+  node->set_calculator("TimeSeriesFramerCalculator");
+  node->add_input_stream("input");
+  node->add_output_stream("output");
+  mediapipe::TimeSeriesFramerCalculatorOptions* options =
+      node->mutable_options()->MutableExtension(
+          mediapipe::TimeSeriesFramerCalculatorOptions::ext);
+  options->set_frame_duration_seconds(kFrameDurationSeconds);
+
+  for (auto _ : state) {
+    state.PauseTiming();  // Pause benchmark timing.
+
+    // Prepare input packets of random blocks of samples.
+    std::vector<mediapipe::Packet> input_packets;
+    input_packets.reserve(32);
+    float t = 0;
+    for (int i = 0; i < 32; ++i) {
+      auto samples =
+          std::make_unique<Matrix>(sample_pool[pool_index_dist(rng)]);
+      const int num_samples = samples->cols();
+      input_packets.push_back(mediapipe::Adopt(samples.release())
+                                  .At(mediapipe::Timestamp::FromSeconds(t)));
+      t += num_samples / kSampleRate;
+    }
+    // Initialize graph.
+    mediapipe::CalculatorGraph graph;
+    ABSL_CHECK_OK(graph.Initialize(config));
+    // Prepare input header.
+    auto header = std::make_unique<mediapipe::TimeSeriesHeader>();
+    header->set_sample_rate(kSampleRate);
+    header->set_num_channels(kNumChannels);
+
+    state.ResumeTiming();  // Resume benchmark timing.
+
+    ABSL_CHECK_OK(graph.StartRun({}, {{"input", Adopt(header.release())}}));
+    for (auto& packet : input_packets) {
+      ABSL_CHECK_OK(graph.AddPacketToInputStream("input", packet));
+    }
+    ABSL_CHECK(!graph.HasError());
+    ABSL_CHECK_OK(graph.CloseAllInputStreams());
+    ABSL_CHECK_OK(graph.WaitUntilIdle());
+  }
+}
+BENCHMARK(BM_TimeSeriesFramerCalculator);
+
+BENCHMARK_MAIN();

mediapipe/calculators/audio/time_series_framer_calculator_test.cc

@@ -19,6 +19,7 @@
 #include <vector>
 
 #include "Eigen/Core"
+#include "absl/log/absl_log.h"
 #include "audio/dsp/window_functions.h"
 #include "mediapipe/calculators/audio/time_series_framer_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -186,11 +187,12 @@ class TimeSeriesFramerCalculatorTest
     const int num_unique_output_samples =
         round((output().packets.size() - 1) * frame_step_samples) +
         frame_duration_samples;
-    LOG(INFO) << "packets.size()=" << output().packets.size()
+    ABSL_LOG(INFO) << "packets.size()=" << output().packets.size()
                    << " frame_duration_samples=" << frame_duration_samples
                    << " frame_step_samples=" << frame_step_samples
                    << " num_input_samples_=" << num_input_samples_
-              << " num_unique_output_samples=" << num_unique_output_samples;
+                   << " num_unique_output_samples="
+                   << num_unique_output_samples;
     const int num_padding_samples =
         num_unique_output_samples - num_input_samples_;
     if (options_.pad_final_packet()) {

mediapipe/calculators/core/BUILD

@@ -117,6 +117,7 @@ mediapipe_proto_library(
         "//mediapipe/framework:calculator_proto",
         "//mediapipe/framework/formats:classification_proto",
         "//mediapipe/framework/formats:landmark_proto",
+        "//mediapipe/framework/formats:matrix_data_proto",
         "//mediapipe/framework/formats:time_series_header_proto",
     ],
 )
@@ -289,6 +290,7 @@ cc_library(
         "//mediapipe/framework/api2:node",
         "//mediapipe/framework/api2:port",
         "//mediapipe/framework/formats:classification_cc_proto",
+        "//mediapipe/framework/formats:image",
         "//mediapipe/framework/formats:landmark_cc_proto",
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:integral_types",
@@ -379,17 +381,6 @@ cc_library(
     alwayslink = 1,
 )
 
-cc_library(
-    name = "clip_detection_vector_size_calculator",
-    srcs = ["clip_detection_vector_size_calculator.cc"],
-    deps = [
-        ":clip_vector_size_calculator",
-        "//mediapipe/framework:calculator_framework",
-        "//mediapipe/framework/formats:detection_cc_proto",
-    ],
-    alwayslink = 1,
-)
-
 cc_test(
     name = "clip_vector_size_calculator_test",
     srcs = ["clip_vector_size_calculator_test.cc"],
@@ -591,6 +582,7 @@ cc_library(
         "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:options_util",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -606,6 +598,7 @@ cc_test(
         "//mediapipe/framework/formats:video_stream_header",
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:integral_types",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings",
     ],
 )
@@ -638,6 +631,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -785,10 +779,11 @@ cc_library(
         "//mediapipe/framework/deps:random",
         "//mediapipe/framework/formats:video_stream_header",
         "//mediapipe/framework/port:integral_types",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:options_util",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
     ],
     alwayslink = 1,
@@ -844,6 +839,7 @@ cc_test(
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:logging",
         "//mediapipe/framework/tool:validate_type",
+        "@com_google_absl//absl/log:absl_check",
         "@eigen_archive//:eigen3",
     ],
 )
@@ -1031,6 +1027,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/api2:node",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -1069,6 +1066,7 @@ cc_test(
         "//mediapipe/framework:calculator_runner",
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:parse_text_proto",
+        "@com_google_absl//absl/log:absl_log",
     ],
 )
 
@@ -1115,6 +1113,7 @@ cc_library(
         "//mediapipe/framework/api2:node",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -1167,6 +1166,7 @@ cc_library(
         "//mediapipe/framework:collection_item_id",
         "//mediapipe/framework/formats:classification_cc_proto",
         "//mediapipe/framework/formats:landmark_cc_proto",
+        "//mediapipe/framework/formats:matrix_data_cc_proto",
         "//mediapipe/framework/formats:time_series_header_cc_proto",
         "//mediapipe/framework/port:integral_types",
         "//mediapipe/framework/port:ret_check",

mediapipe/calculators/core/begin_loop_calculator.cc

@@ -76,4 +76,9 @@ REGISTER_CALCULATOR(BeginLoopGpuBufferCalculator);
 // A calculator to process std::vector<mediapipe::Image>.
 typedef BeginLoopCalculator<std::vector<Image>> BeginLoopImageCalculator;
 REGISTER_CALCULATOR(BeginLoopImageCalculator);
+
+// A calculator to process std::vector<float>.
+typedef BeginLoopCalculator<std::vector<float>> BeginLoopFloatCalculator;
+REGISTER_CALCULATOR(BeginLoopFloatCalculator);
+
 }  // namespace mediapipe

mediapipe/calculators/core/concatenate_vector_calculator.cc

@@ -17,6 +17,7 @@
 #include <vector>
 
 #include "mediapipe/framework/formats/classification.pb.h"
+#include "mediapipe/framework/formats/image.h"
 #include "mediapipe/framework/formats/landmark.pb.h"
 #include "mediapipe/framework/formats/tensor.h"
 #include "mediapipe/framework/port/integral_types.h"
@@ -104,4 +105,7 @@ typedef ConcatenateVectorCalculator<mediapipe::RenderData>
     ConcatenateRenderDataVectorCalculator;
 MEDIAPIPE_REGISTER_NODE(ConcatenateRenderDataVectorCalculator);
 
+typedef ConcatenateVectorCalculator<mediapipe::Image>
+    ConcatenateImageVectorCalculator;
+MEDIAPIPE_REGISTER_NODE(ConcatenateImageVectorCalculator);
 }  // namespace mediapipe

mediapipe/calculators/core/constant_side_packet_calculator.cc

@@ -19,6 +19,7 @@
 #include "mediapipe/framework/collection_item_id.h"
 #include "mediapipe/framework/formats/classification.pb.h"
 #include "mediapipe/framework/formats/landmark.pb.h"
+#include "mediapipe/framework/formats/matrix_data.pb.h"
 #include "mediapipe/framework/formats/time_series_header.pb.h"
 #include "mediapipe/framework/port/canonical_errors.h"
 #include "mediapipe/framework/port/integral_types.h"
@@ -85,8 +86,12 @@ class ConstantSidePacketCalculator : public CalculatorBase {
         packet.Set<LandmarkList>();
       } else if (packet_options.has_double_value()) {
         packet.Set<double>();
+      } else if (packet_options.has_matrix_data_value()) {
+        packet.Set<MatrixData>();
       } else if (packet_options.has_time_series_header_value()) {
         packet.Set<TimeSeriesHeader>();
+      } else if (packet_options.has_int64_value()) {
+        packet.Set<int64_t>();
       } else {
         return absl::InvalidArgumentError(
             "None of supported values were specified in options.");
@@ -121,9 +126,13 @@ class ConstantSidePacketCalculator : public CalculatorBase {
             MakePacket<LandmarkList>(packet_options.landmark_list_value()));
       } else if (packet_options.has_double_value()) {
         packet.Set(MakePacket<double>(packet_options.double_value()));
+      } else if (packet_options.has_matrix_data_value()) {
+        packet.Set(MakePacket<MatrixData>(packet_options.matrix_data_value()));
       } else if (packet_options.has_time_series_header_value()) {
         packet.Set(MakePacket<TimeSeriesHeader>(
             packet_options.time_series_header_value()));
+      } else if (packet_options.has_int64_value()) {
+        packet.Set(MakePacket<int64_t>(packet_options.int64_value()));
       } else {
         return absl::InvalidArgumentError(
             "None of supported values were specified in options.");

mediapipe/calculators/core/constant_side_packet_calculator.proto

@@ -19,6 +19,7 @@ package mediapipe;
 import "mediapipe/framework/calculator.proto";
 import "mediapipe/framework/formats/classification.proto";
 import "mediapipe/framework/formats/landmark.proto";
+import "mediapipe/framework/formats/matrix_data.proto";
 import "mediapipe/framework/formats/time_series_header.proto";
 
 message ConstantSidePacketCalculatorOptions {
@@ -29,14 +30,16 @@ message ConstantSidePacketCalculatorOptions {
   message ConstantSidePacket {
     oneof value {
       int32 int_value = 1;
+      uint64 uint64_value = 5;
+      int64 int64_value = 11;
       float float_value = 2;
+      double double_value = 9;
       bool bool_value = 3;
       string string_value = 4;
-      uint64 uint64_value = 5;
       ClassificationList classification_list_value = 6;
       LandmarkList landmark_list_value = 7;
-      double double_value = 9;
       TimeSeriesHeader time_series_header_value = 10;
+      MatrixData matrix_data_value = 12;
     }
   }
 

mediapipe/calculators/core/constant_side_packet_calculator_test.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
 #include <string>
 
 #include "absl/strings/string_view.h"
@@ -58,6 +59,7 @@ TEST(ConstantSidePacketCalculatorTest, EveryPossibleType) {
   DoTestSingleSidePacket("{ float_value: 6.5f }", 6.5f);
   DoTestSingleSidePacket("{ bool_value: true }", true);
   DoTestSingleSidePacket<std::string>(R"({ string_value: "str" })", "str");
+  DoTestSingleSidePacket<int64_t>("{ int64_value: 63 }", 63);
 }
 
 TEST(ConstantSidePacketCalculatorTest, MultiplePackets) {

mediapipe/calculators/core/end_loop_calculator.cc

@@ -14,6 +14,8 @@
 
 #include "mediapipe/calculators/core/end_loop_calculator.h"
 
+#include <array>
+#include <utility>
 #include <vector>
 
 #include "mediapipe/framework/formats/classification.pb.h"
@@ -84,4 +86,8 @@ typedef EndLoopCalculator<std::vector<std::array<float, 16>>>
     EndLoopAffineMatrixCalculator;
 REGISTER_CALCULATOR(EndLoopAffineMatrixCalculator);
 
+typedef EndLoopCalculator<std::vector<std::pair<int, int>>>
+    EndLoopImageSizeCalculator;
+REGISTER_CALCULATOR(EndLoopImageSizeCalculator);
+
 }  // namespace mediapipe

mediapipe/calculators/core/gate_calculator_test.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
 #include "mediapipe/framework/port/gtest.h"
@@ -356,18 +357,18 @@ TEST_F(GateCalculatorTest, AllowWithStateChangeNoDataStreams) {
   RunTimeStepWithoutDataStream(kTimestampValue2, "ALLOW", true);
   constexpr int64_t kTimestampValue3 = 45;
   RunTimeStepWithoutDataStream(kTimestampValue3, "ALLOW", false);
-  LOG(INFO) << "a";
+  ABSL_LOG(INFO) << "a";
   const std::vector<Packet>& output =
       runner()->Outputs().Get("STATE_CHANGE", 0).packets;
-  LOG(INFO) << "s";
+  ABSL_LOG(INFO) << "s";
   ASSERT_EQ(2, output.size());
-  LOG(INFO) << "d";
+  ABSL_LOG(INFO) << "d";
   EXPECT_EQ(kTimestampValue1, output[0].Timestamp().Value());
   EXPECT_EQ(kTimestampValue3, output[1].Timestamp().Value());
-  LOG(INFO) << "f";
+  ABSL_LOG(INFO) << "f";
   EXPECT_EQ(true, output[0].Get<bool>());   // Allow.
   EXPECT_EQ(false, output[1].Get<bool>());  // Disallow.
-  LOG(INFO) << "g";
+  ABSL_LOG(INFO) << "g";
 }
 
 TEST_F(GateCalculatorTest, DisallowWithStateChange) {

mediapipe/calculators/core/immediate_mux_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "mediapipe/framework/port/status.h"
@@ -78,7 +79,7 @@ absl::Status ImmediateMuxCalculator::Process(CalculatorContext* cc) {
       if (packet.Timestamp() >= cc->Outputs().Index(0).NextTimestampBound()) {
         cc->Outputs().Index(0).AddPacket(packet);
       } else {
-        LOG_FIRST_N(WARNING, 5)
+        ABSL_LOG_FIRST_N(WARNING, 5)
             << "Dropping a packet with timestamp " << packet.Timestamp();
       }
       if (cc->Outputs().NumEntries() >= 2) {

mediapipe/calculators/core/matrix_multiply_calculator_test.cc

@@ -16,6 +16,7 @@
 #include <vector>
 
 #include "Eigen/Core"
+#include "absl/log/absl_check.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
 #include "mediapipe/framework/formats/matrix.h"
@@ -209,7 +210,7 @@ TEST(MatrixMultiplyCalculatorTest, Multiply) {
   MatrixFromTextProto(kSamplesText, &samples);
   Matrix expected;
   MatrixFromTextProto(kExpectedText, &expected);
-  CHECK_EQ(samples.cols(), expected.cols());
+  ABSL_CHECK_EQ(samples.cols(), expected.cols());
 
   for (int i = 0; i < samples.cols(); ++i) {
     // Take a column from samples and produce a packet with just that

mediapipe/calculators/core/merge_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/framework/api2/node.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -53,7 +54,7 @@ class MergeCalculator : public Node {
   static absl::Status UpdateContract(CalculatorContract* cc) {
     RET_CHECK_GT(kIn(cc).Count(), 0) << "Needs at least one input stream";
     if (kIn(cc).Count() == 1) {
-      LOG(WARNING)
+      ABSL_LOG(WARNING)
           << "MergeCalculator expects multiple input streams to merge but is "
              "receiving only one. Make sure the calculator is configured "
              "correctly or consider removing this calculator to reduce "
@@ -72,7 +73,7 @@ class MergeCalculator : public Node {
       }
     }
 
-    LOG(WARNING) << "Empty input packets at timestamp "
+    ABSL_LOG(WARNING) << "Empty input packets at timestamp "
                       << cc->InputTimestamp().Value();
 
     return absl::OkStatus();

mediapipe/calculators/core/packet_resampler_calculator.cc

@@ -16,6 +16,9 @@
 
 #include <memory>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
+
 namespace {
 // Reflect an integer against the lower and upper bound of an interval.
 int64_t ReflectBetween(int64_t ts, int64_t ts_min, int64_t ts_max) {
@@ -177,7 +180,7 @@ PacketResamplerCalculator::GetSamplingStrategy(
     const PacketResamplerCalculatorOptions& options) {
   if (options.reproducible_sampling()) {
     if (!options.jitter_with_reflection()) {
-      LOG(WARNING)
+      ABSL_LOG(WARNING)
           << "reproducible_sampling enabled w/ jitter_with_reflection "
              "disabled. "
           << "reproducible_sampling always uses jitter with reflection, "
@@ -200,15 +203,15 @@ PacketResamplerCalculator::GetSamplingStrategy(
 
 Timestamp PacketResamplerCalculator::PeriodIndexToTimestamp(
     int64_t index) const {
-  CHECK_EQ(jitter_, 0.0);
+  ABSL_CHECK_EQ(jitter_, 0.0);
-  CHECK_NE(first_timestamp_, Timestamp::Unset());
+  ABSL_CHECK_NE(first_timestamp_, Timestamp::Unset());
   return first_timestamp_ + TimestampDiffFromSeconds(index / frame_rate_);
 }
 
 int64_t PacketResamplerCalculator::TimestampToPeriodIndex(
     Timestamp timestamp) const {
-  CHECK_EQ(jitter_, 0.0);
+  ABSL_CHECK_EQ(jitter_, 0.0);
-  CHECK_NE(first_timestamp_, Timestamp::Unset());
+  ABSL_CHECK_NE(first_timestamp_, Timestamp::Unset());
   return MathUtil::SafeRound<int64_t, double>(
       (timestamp - first_timestamp_).Seconds() * frame_rate_);
 }
@@ -229,12 +232,14 @@ absl::Status LegacyJitterWithReflectionStrategy::Open(CalculatorContext* cc) {
 
   if (resampler_options.output_header() !=
       PacketResamplerCalculatorOptions::NONE) {
-    LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
+    ABSL_LOG(WARNING)
+        << "VideoHeader::frame_rate holds the target value and not "
            "the actual value.";
   }
 
   if (calculator_->flush_last_packet_) {
-    LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
+    ABSL_LOG(WARNING)
+        << "PacketResamplerCalculatorOptions.flush_last_packet is "
            "ignored, because we are adding jitter.";
   }
 
@@ -254,7 +259,7 @@ absl::Status LegacyJitterWithReflectionStrategy::Open(CalculatorContext* cc) {
 }
 absl::Status LegacyJitterWithReflectionStrategy::Close(CalculatorContext* cc) {
   if (!packet_reservoir_->IsEmpty()) {
-    LOG(INFO) << "Emitting pack from reservoir.";
+    ABSL_LOG(INFO) << "Emitting pack from reservoir.";
     calculator_->OutputWithinLimits(cc, packet_reservoir_->GetSample());
   }
   return absl::OkStatus();
@@ -285,7 +290,7 @@ absl::Status LegacyJitterWithReflectionStrategy::Process(
 
   if (calculator_->frame_time_usec_ <
       (cc->InputTimestamp() - calculator_->last_packet_.Timestamp()).Value()) {
-    LOG_FIRST_N(WARNING, 2)
+    ABSL_LOG_FIRST_N(WARNING, 2)
         << "Adding jitter is not very useful when upsampling.";
   }
 
@@ -340,8 +345,8 @@ void LegacyJitterWithReflectionStrategy::UpdateNextOutputTimestampWithJitter() {
   next_output_timestamp_ = Timestamp(ReflectBetween(
       next_output_timestamp_.Value(), next_output_timestamp_min_.Value(),
       next_output_timestamp_max_.Value()));
-  CHECK_GE(next_output_timestamp_, next_output_timestamp_min_);
+  ABSL_CHECK_GE(next_output_timestamp_, next_output_timestamp_min_);
-  CHECK_LT(next_output_timestamp_, next_output_timestamp_max_);
+  ABSL_CHECK_LT(next_output_timestamp_, next_output_timestamp_max_);
 }
 
 absl::Status ReproducibleJitterWithReflectionStrategy::Open(
@@ -352,12 +357,14 @@ absl::Status ReproducibleJitterWithReflectionStrategy::Open(
 
   if (resampler_options.output_header() !=
       PacketResamplerCalculatorOptions::NONE) {
-    LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
+    ABSL_LOG(WARNING)
+        << "VideoHeader::frame_rate holds the target value and not "
            "the actual value.";
   }
 
   if (calculator_->flush_last_packet_) {
-    LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
+    ABSL_LOG(WARNING)
+        << "PacketResamplerCalculatorOptions.flush_last_packet is "
            "ignored, because we are adding jitter.";
   }
 
@@ -411,7 +418,7 @@ absl::Status ReproducibleJitterWithReflectionStrategy::Process(
     // Note, if the stream is upsampling, this could lead to the same packet
     // being emitted twice.  Upsampling and jitter doesn't make much sense
     // but does technically work.
-    LOG_FIRST_N(WARNING, 2)
+    ABSL_LOG_FIRST_N(WARNING, 2)
         << "Adding jitter is not very useful when upsampling.";
   }
 
@@ -499,12 +506,14 @@ absl::Status JitterWithoutReflectionStrategy::Open(CalculatorContext* cc) {
 
   if (resampler_options.output_header() !=
       PacketResamplerCalculatorOptions::NONE) {
-    LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
+    ABSL_LOG(WARNING)
+        << "VideoHeader::frame_rate holds the target value and not "
            "the actual value.";
   }
 
   if (calculator_->flush_last_packet_) {
-    LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
+    ABSL_LOG(WARNING)
+        << "PacketResamplerCalculatorOptions.flush_last_packet is "
            "ignored, because we are adding jitter.";
   }
 
@@ -555,7 +564,7 @@ absl::Status JitterWithoutReflectionStrategy::Process(CalculatorContext* cc) {
 
   if (calculator_->frame_time_usec_ <
       (cc->InputTimestamp() - calculator_->last_packet_.Timestamp()).Value()) {
-    LOG_FIRST_N(WARNING, 2)
+    ABSL_LOG_FIRST_N(WARNING, 2)
         << "Adding jitter is not very useful when upsampling.";
   }
 

mediapipe/calculators/core/packet_resampler_calculator.h

@@ -13,7 +13,6 @@
 #include "mediapipe/framework/deps/random_base.h"
 #include "mediapipe/framework/formats/video_stream_header.h"
 #include "mediapipe/framework/port/integral_types.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "mediapipe/framework/port/status.h"
 #include "mediapipe/framework/port/status_macros.h"

mediapipe/calculators/core/packet_thinner_calculator.cc

@@ -17,6 +17,7 @@
 #include <cmath>  // for ceil
 #include <memory>
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/core/packet_thinner_calculator.pb.h"
 #include "mediapipe/framework/calculator_context.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -160,7 +161,7 @@ absl::Status PacketThinnerCalculator::Open(CalculatorContext* cc) {
 
   thinner_type_ = options.thinner_type();
   // This check enables us to assume only two thinner types exist in Process()
-  CHECK(thinner_type_ == PacketThinnerCalculatorOptions::ASYNC ||
+  ABSL_CHECK(thinner_type_ == PacketThinnerCalculatorOptions::ASYNC ||
              thinner_type_ == PacketThinnerCalculatorOptions::SYNC)
       << "Unsupported thinner type.";
 
@@ -177,7 +178,8 @@ absl::Status PacketThinnerCalculator::Open(CalculatorContext* cc) {
   } else {
     period_ = TimestampDiff(options.period());
   }
-  CHECK_LT(TimestampDiff(0), period_) << "Specified period must be positive.";
+  ABSL_CHECK_LT(TimestampDiff(0), period_)
+      << "Specified period must be positive.";
 
   if (options.has_start_time()) {
     start_time_ = Timestamp(options.start_time());
@@ -189,7 +191,7 @@ absl::Status PacketThinnerCalculator::Open(CalculatorContext* cc) {
 
   end_time_ =
       options.has_end_time() ? Timestamp(options.end_time()) : Timestamp::Max();
-  CHECK_LT(start_time_, end_time_)
+  ABSL_CHECK_LT(start_time_, end_time_)
       << "Invalid PacketThinner: start_time must be earlier than end_time";
 
   sync_output_timestamps_ = options.sync_output_timestamps();
@@ -232,7 +234,7 @@ absl::Status PacketThinnerCalculator::Close(CalculatorContext* cc) {
   // Emit any saved packets before quitting.
   if (!saved_packet_.IsEmpty()) {
     // Only sync thinner should have saved packets.
-    CHECK_EQ(PacketThinnerCalculatorOptions::SYNC, thinner_type_);
+    ABSL_CHECK_EQ(PacketThinnerCalculatorOptions::SYNC, thinner_type_);
     if (sync_output_timestamps_) {
       cc->Outputs().Index(0).AddPacket(
           saved_packet_.At(NearestSyncTimestamp(saved_packet_.Timestamp())));
@@ -269,7 +271,7 @@ absl::Status PacketThinnerCalculator::SyncThinnerProcess(
     const Timestamp saved_sync = NearestSyncTimestamp(saved);
     const Timestamp now = cc->InputTimestamp();
     const Timestamp now_sync = NearestSyncTimestamp(now);
-    CHECK_LE(saved_sync, now_sync);
+    ABSL_CHECK_LE(saved_sync, now_sync);
     if (saved_sync == now_sync) {
       // Saved Packet is in same interval as current packet.
       // Replace saved packet with current if it is at least as
@@ -295,7 +297,7 @@ absl::Status PacketThinnerCalculator::SyncThinnerProcess(
 }
 
 Timestamp PacketThinnerCalculator::NearestSyncTimestamp(Timestamp now) const {
-  CHECK_NE(start_time_, Timestamp::Unset())
+  ABSL_CHECK_NE(start_time_, Timestamp::Unset())
       << "Method only valid for sync thinner calculator.";
 
   // Computation is done using int64 arithmetic.  No easy way to avoid
@@ -303,12 +305,12 @@ Timestamp PacketThinnerCalculator::NearestSyncTimestamp(Timestamp now) const {
   const int64_t now64 = now.Value();
   const int64_t start64 = start_time_.Value();
   const int64_t period64 = period_.Value();
-  CHECK_LE(0, period64);
+  ABSL_CHECK_LE(0, period64);
 
   // Round now64 to its closest interval (units of period64).
   int64_t sync64 =
       (now64 - start64 + period64 / 2) / period64 * period64 + start64;
-  CHECK_LE(abs(now64 - sync64), period64 / 2)
+  ABSL_CHECK_LE(abs(now64 - sync64), period64 / 2)
       << "start64: " << start64 << "; now64: " << now64
       << "; sync64: " << sync64;
 

mediapipe/calculators/core/packet_thinner_calculator_test.cc

@@ -16,6 +16,7 @@
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_cat.h"
 #include "mediapipe/calculators/core/packet_thinner_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -70,7 +71,7 @@ class SimpleRunner : public CalculatorRunner {
   }
 
   double GetFrameRate() const {
-    CHECK(!Outputs().Index(0).header.IsEmpty());
+    ABSL_CHECK(!Outputs().Index(0).header.IsEmpty());
     return Outputs().Index(0).header.Get<VideoHeader>().frame_rate;
   }
 };

mediapipe/calculators/core/previous_loopback_calculator.cc

@@ -123,8 +123,11 @@ class PreviousLoopbackCalculator : public Node {
           // However, LOOP packet is empty.
           kPrevLoop(cc).SetNextTimestampBound(main_spec.timestamp + 1);
         } else {
+          // Avoids sending leftovers to a stream that's already closed.
+          if (!kPrevLoop(cc).IsClosed()) {
             kPrevLoop(cc).Send(loop_candidate.At(main_spec.timestamp));
           }
+        }
         loop_packets_.pop_front();
         main_packet_specs_.pop_front();
       }

mediapipe/calculators/core/sequence_shift_calculator.cc

@@ -14,6 +14,7 @@
 
 #include <deque>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/core/sequence_shift_calculator.pb.h"
 #include "mediapipe/framework/api2/node.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -101,7 +102,7 @@ void SequenceShiftCalculator::ProcessPositiveOffset(CalculatorContext* cc) {
     kOut(cc).Send(packet_cache_.front().At(cc->InputTimestamp()));
     packet_cache_.pop_front();
   } else if (emit_empty_packets_before_first_packet_) {
-    LOG(FATAL) << "Not supported yet";
+    ABSL_LOG(FATAL) << "Not supported yet";
   }
   // Store current packet for later output.
   packet_cache_.push_back(kIn(cc).packet());

mediapipe/calculators/image/BUILD

@@ -97,6 +97,7 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:source_location",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -125,6 +126,7 @@ cc_library(
         "//mediapipe/framework/port:opencv_imgcodecs",
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -135,7 +137,6 @@ cc_library(
     deps = [
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/formats:image_frame_opencv",
-        "//mediapipe/framework/port:opencv_imgcodecs",
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:status",
     ],
@@ -152,11 +153,11 @@ cc_library(
         "//mediapipe/framework/formats:image_format_cc_proto",
         "//mediapipe/framework/formats:image_frame",
         "//mediapipe/framework/formats:image_frame_opencv",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:opencv_core",
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/port:vector",
+        "@com_google_absl//absl/log:absl_log",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
         "//conditions:default": [
@@ -203,6 +204,7 @@ cc_library(
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/port:vector",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
@@ -301,6 +303,7 @@ cc_library(
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
         "//conditions:default": [
@@ -397,6 +400,7 @@ cc_library(
         "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings",
     ],
 )
@@ -421,6 +425,8 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:image_frame_util",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
         "@libyuv",
     ],
@@ -626,9 +632,9 @@ cc_library(
         "//mediapipe/framework/formats:image",
         "//mediapipe/framework/formats:image_format_cc_proto",
         "//mediapipe/framework/formats:image_frame",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/port:vector",
+        "@com_google_absl//absl/log:absl_log",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
         "//conditions:default": [
@@ -666,6 +672,7 @@ cc_test(
         "//mediapipe/framework/port:opencv_imgcodecs",
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:parse_text_proto",
+        "@com_google_absl//absl/log:absl_log",
     ],
 )
 

mediapipe/calculators/image/affine_transformation_runner_gl.cc

@@ -384,6 +384,8 @@ class GlTextureWarpAffineRunner
     glActiveTexture(GL_TEXTURE0);
     glBindTexture(GL_TEXTURE_2D, 0);
 
+    glFlush();
+
     return absl::OkStatus();
   }
 

mediapipe/calculators/image/bilateral_filter_calculator.cc

@@ -15,6 +15,7 @@
 #include <memory>
 #include <string>
 
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_replace.h"
 #include "mediapipe/calculators/image/bilateral_filter_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -112,7 +113,7 @@ class BilateralFilterCalculator : public CalculatorBase {
 REGISTER_CALCULATOR(BilateralFilterCalculator);
 
 absl::Status BilateralFilterCalculator::GetContract(CalculatorContract* cc) {
-  CHECK_GE(cc->Inputs().NumEntries(), 1);
+  RET_CHECK_GE(cc->Inputs().NumEntries(), 1);
 
   if (cc->Inputs().HasTag(kInputFrameTag) &&
       cc->Inputs().HasTag(kInputFrameTagGpu)) {
@@ -183,8 +184,8 @@ absl::Status BilateralFilterCalculator::Open(CalculatorContext* cc) {
 
   sigma_color_ = options_.sigma_color();
   sigma_space_ = options_.sigma_space();
-  CHECK_GE(sigma_color_, 0.0);
+  ABSL_CHECK_GE(sigma_color_, 0.0);
-  CHECK_GE(sigma_space_, 0.0);
+  ABSL_CHECK_GE(sigma_space_, 0.0);
   if (!use_gpu_) sigma_color_ *= 255.0;
 
   if (use_gpu_) {

mediapipe/calculators/image/color_convert_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
@@ -25,8 +26,8 @@
 namespace mediapipe {
 namespace {
 void SetColorChannel(int channel, uint8 value, cv::Mat* mat) {
-  CHECK(mat->depth() == CV_8U);
+  ABSL_CHECK(mat->depth() == CV_8U);
-  CHECK(channel < mat->channels());
+  ABSL_CHECK(channel < mat->channels());
   const int step = mat->channels();
   for (int r = 0; r < mat->rows; ++r) {
     uint8* row_ptr = mat->ptr<uint8>(r);

mediapipe/calculators/image/image_cropping_calculator.cc

@@ -16,6 +16,7 @@
 
 #include <cmath>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/framework/formats/image_frame.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
 #include "mediapipe/framework/formats/rect.pb.h"
@@ -202,7 +203,8 @@ absl::Status ImageCroppingCalculator::ValidateBorderModeForGPU(
 
   switch (options.border_mode()) {
     case mediapipe::ImageCroppingCalculatorOptions::BORDER_ZERO:
-      LOG(WARNING) << "BORDER_ZERO mode is not supported by GPU "
+      ABSL_LOG(WARNING)
+          << "BORDER_ZERO mode is not supported by GPU "
           << "implementation and will fall back into BORDER_REPLICATE";
       break;
     case mediapipe::ImageCroppingCalculatorOptions::BORDER_REPLICATE:

mediapipe/calculators/image/opencv_image_encoder_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/image/opencv_image_encoder_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
@@ -61,7 +62,7 @@ absl::Status OpenCvImageEncoderCalculator::Open(CalculatorContext* cc) {
 
 absl::Status OpenCvImageEncoderCalculator::Process(CalculatorContext* cc) {
   const ImageFrame& image_frame = cc->Inputs().Index(0).Get<ImageFrame>();
-  CHECK_EQ(1, image_frame.ByteDepth());
+  ABSL_CHECK_EQ(1, image_frame.ByteDepth());
 
   std::unique_ptr<OpenCvImageEncoderCalculatorResults> encoded_result =
       absl::make_unique<OpenCvImageEncoderCalculatorResults>();

mediapipe/calculators/image/scale_image_calculator.cc

@@ -18,6 +18,8 @@
 #include <memory>
 #include <string>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/substitute.h"
 #include "libyuv/scale.h"
@@ -293,7 +295,7 @@ absl::Status ScaleImageCalculator::InitializeFrameInfo(CalculatorContext* cc) {
     header->width = output_width_;
     header->height = output_height_;
     header->format = output_format_;
-    LOG(INFO) << "OUTPUTTING HEADER on stream";
+    ABSL_LOG(INFO) << "OUTPUTTING HEADER on stream";
     cc->Outputs()
         .Tag("VIDEO_HEADER")
         .Add(header.release(), Timestamp::PreStream());
@@ -393,7 +395,8 @@ absl::Status ScaleImageCalculator::Open(CalculatorContext* cc) {
           .SetHeader(Adopt(output_header.release()));
       has_header_ = true;
     } else {
-      LOG(WARNING) << "Stream had a VideoHeader which didn't have sufficient "
+      ABSL_LOG(WARNING)
+          << "Stream had a VideoHeader which didn't have sufficient "
              "information.  "
              "Dropping VideoHeader and trying to deduce needed "
              "information.";
@@ -507,7 +510,7 @@ absl::Status ScaleImageCalculator::ValidateImageFrame(
 
 absl::Status ScaleImageCalculator::ValidateYUVImage(CalculatorContext* cc,
                                                     const YUVImage& yuv_image) {
-  CHECK_EQ(input_format_, ImageFormat::YCBCR420P);
+  ABSL_CHECK_EQ(input_format_, ImageFormat::YCBCR420P);
   if (!has_header_) {
     if (input_width_ != yuv_image.width() ||
         input_height_ != yuv_image.height()) {

mediapipe/calculators/image/scale_image_utils.cc

@@ -18,6 +18,7 @@
 
 #include <string>
 
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_split.h"
 #include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -40,10 +41,10 @@ absl::Status FindCropDimensions(int input_width, int input_height,    //
                                 const std::string& max_aspect_ratio,  //
                                 int* crop_width, int* crop_height,    //
                                 int* col_start, int* row_start) {
-  CHECK(crop_width);
+  ABSL_CHECK(crop_width);
-  CHECK(crop_height);
+  ABSL_CHECK(crop_height);
-  CHECK(col_start);
+  ABSL_CHECK(col_start);
-  CHECK(row_start);
+  ABSL_CHECK(row_start);
 
   double min_aspect_ratio_q = 0.0;
   double max_aspect_ratio_q = 0.0;
@@ -83,8 +84,8 @@ absl::Status FindCropDimensions(int input_width, int input_height,    //
     }
   }
 
-  CHECK_LE(*crop_width, input_width);
+  ABSL_CHECK_LE(*crop_width, input_width);
-  CHECK_LE(*crop_height, input_height);
+  ABSL_CHECK_LE(*crop_height, input_height);
   return absl::OkStatus();
 }
 
@@ -96,8 +97,8 @@ absl::Status FindOutputDimensions(int input_width,             //
                                   bool preserve_aspect_ratio,  //
                                   int scale_to_multiple_of,    //
                                   int* output_width, int* output_height) {
-  CHECK(output_width);
+  ABSL_CHECK(output_width);
-  CHECK(output_height);
+  ABSL_CHECK(output_height);
 
   if (target_max_area > 0 && input_width * input_height > target_max_area) {
     preserve_aspect_ratio = true;

mediapipe/calculators/image/segmentation_smoothing_calculator.cc

@@ -15,13 +15,13 @@
 #include <algorithm>
 #include <memory>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/image/segmentation_smoothing_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_options.pb.h"
 #include "mediapipe/framework/formats/image.h"
 #include "mediapipe/framework/formats/image_format.pb.h"
 #include "mediapipe/framework/formats/image_frame.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/status.h"
 #include "mediapipe/framework/port/vector.h"
 
@@ -110,7 +110,7 @@ REGISTER_CALCULATOR(SegmentationSmoothingCalculator);
 
 absl::Status SegmentationSmoothingCalculator::GetContract(
     CalculatorContract* cc) {
-  CHECK_GE(cc->Inputs().NumEntries(), 1);
+  RET_CHECK_GE(cc->Inputs().NumEntries(), 1);
 
   cc->Inputs().Tag(kCurrentMaskTag).Set<Image>();
   cc->Inputs().Tag(kPreviousMaskTag).Set<Image>();
@@ -273,7 +273,7 @@ absl::Status SegmentationSmoothingCalculator::RenderGpu(CalculatorContext* cc) {
 
   const auto& previous_frame = cc->Inputs().Tag(kPreviousMaskTag).Get<Image>();
   if (previous_frame.format() != current_frame.format()) {
-    LOG(ERROR) << "Warning: mixing input format types. ";
+    ABSL_LOG(ERROR) << "Warning: mixing input format types. ";
   }
   auto previous_texture = gpu_helper_.CreateSourceTexture(previous_frame);
 

mediapipe/calculators/image/segmentation_smoothing_calculator_test.cc

@@ -14,6 +14,7 @@
 
 #include <memory>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/image/segmentation_smoothing_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
@@ -169,7 +170,7 @@ void RunTest(bool use_gpu, float mix_ratio, cv::Mat& test_result) {
       }
     }
   } else {
-    LOG(ERROR) << "invalid ratio";
+    ABSL_LOG(ERROR) << "invalid ratio";
   }
 }
 

mediapipe/calculators/image/set_alpha_calculator.cc

@@ -14,13 +14,13 @@
 
 #include <memory>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/image/set_alpha_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_options.pb.h"
 #include "mediapipe/framework/formats/image_format.pb.h"
 #include "mediapipe/framework/formats/image_frame.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/opencv_core_inc.h"
 #include "mediapipe/framework/port/opencv_imgproc_inc.h"
 #include "mediapipe/framework/port/status.h"
@@ -142,7 +142,7 @@ class SetAlphaCalculator : public CalculatorBase {
 REGISTER_CALCULATOR(SetAlphaCalculator);
 
 absl::Status SetAlphaCalculator::GetContract(CalculatorContract* cc) {
-  CHECK_GE(cc->Inputs().NumEntries(), 1);
+  RET_CHECK_GE(cc->Inputs().NumEntries(), 1);
 
   bool use_gpu = false;
 
@@ -268,7 +268,7 @@ absl::Status SetAlphaCalculator::RenderCpu(CalculatorContext* cc) {
   const auto& input_frame = cc->Inputs().Tag(kInputFrameTag).Get<ImageFrame>();
   const cv::Mat input_mat = formats::MatView(&input_frame);
   if (!(input_mat.type() == CV_8UC3 || input_mat.type() == CV_8UC4)) {
-    LOG(ERROR) << "Only 3 or 4 channel 8-bit input image supported";
+    ABSL_LOG(ERROR) << "Only 3 or 4 channel 8-bit input image supported";
   }
 
   // Setup destination image
@@ -328,7 +328,7 @@ absl::Status SetAlphaCalculator::RenderGpu(CalculatorContext* cc) {
       cc->Inputs().Tag(kInputFrameTagGpu).Get<mediapipe::GpuBuffer>();
   if (!(input_frame.format() == mediapipe::GpuBufferFormat::kBGRA32 ||
         input_frame.format() == mediapipe::GpuBufferFormat::kRGB24)) {
-    LOG(ERROR) << "Only RGB or RGBA input image supported";
+    ABSL_LOG(ERROR) << "Only RGB or RGBA input image supported";
   }
   auto input_texture = gpu_helper_.CreateSourceTexture(input_frame);
 

mediapipe/calculators/internal/BUILD

@@ -31,12 +31,14 @@ mediapipe_proto_library(
 cc_library(
     name = "callback_packet_calculator",
     srcs = ["callback_packet_calculator.cc"],
+    hdrs = ["callback_packet_calculator.h"],
     visibility = ["//mediapipe/framework:__subpackages__"],
     deps = [
         ":callback_packet_calculator_cc_proto",
         "//mediapipe/framework:calculator_base",
         "//mediapipe/framework:calculator_registry",
         "//mediapipe/framework:output_side_packet",
+        "@com_google_absl//absl/status",
     ],
     alwayslink = 1,
 )

mediapipe/calculators/internal/callback_packet_calculator.cc

@@ -11,10 +11,12 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
+#include "mediapipe/calculators/internal/callback_packet_calculator.h"
 
 #include <functional>
 #include <string>
 
+#include "absl/status/status.h"
 #include "mediapipe/calculators/internal/callback_packet_calculator.pb.h"  // NOLINT
 #include "mediapipe/framework/calculator_base.h"
 #include "mediapipe/framework/calculator_registry.h"
@@ -39,18 +41,10 @@ void DumpPostStreamPacket(Packet* post_stream_packet, const Packet& packet) {
     *post_stream_packet = packet;
   }
 }
+
 }  // namespace
 
-// Creates a callback which takes a packet and stores it either in a
+absl::Status CallbackPacketCalculator::GetContract(CalculatorContract* cc) {
-// vector of packets or stores only the packet at PostStream timestamp.
-// The kind of callback is controlled by an option.  The callback is
-// a std::function and is directly usable by CallbackCalculator.
-// Since the options for the packet generator include a serialized pointer
-// value, the resulting callback is only valid on the original machine
-// while that pointer is still alive.
-class CallbackPacketCalculator : public CalculatorBase {
- public:
-  static absl::Status GetContract(CalculatorContract* cc) {
   const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
   switch (options.type()) {
     case CallbackPacketCalculatorOptions::VECTOR_PACKET:
@@ -66,7 +60,7 @@ class CallbackPacketCalculator : public CalculatorBase {
   return absl::OkStatus();
 }
 
-  absl::Status Open(CalculatorContext* cc) override {
+absl::Status CallbackPacketCalculator::Open(CalculatorContext* cc) {
   const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
   void* ptr;
   if (sscanf(options.pointer().c_str(), "%p", &ptr) != 1) {
@@ -93,10 +87,9 @@ class CallbackPacketCalculator : public CalculatorBase {
   return absl::OkStatus();
 }
 
-  absl::Status Process(CalculatorContext* cc) override {
+absl::Status CallbackPacketCalculator::Process(CalculatorContext* cc) {
   return absl::OkStatus();
 }
-};
 
 REGISTER_CALCULATOR(CallbackPacketCalculator);
 

mediapipe/calculators/internal/callback_packet_calculator.h

@@ -0,0 +1,39 @@
+// Copyright 2023 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef MEDIAPIPE_CALCULATORS_INTERNAL_CALLBACK_PACKET_CALCULATOR_H_
+#define MEDIAPIPE_CALCULATORS_INTERNAL_CALLBACK_PACKET_CALCULATOR_H_
+
+#include "absl/status/status.h"
+#include "mediapipe/framework/calculator_base.h"
+
+namespace mediapipe {
+
+// Creates a callback which takes a packet and stores it either in a
+// vector of packets or stores only the packet at PostStream timestamp.
+// The kind of callback is controlled by an option.  The callback is
+// a std::function and is directly usable by CallbackCalculator.
+// Since the options for the packet generator include a serialized pointer
+// value, the resulting callback is only valid on the original machine
+// while that pointer is still alive.
+class CallbackPacketCalculator : public CalculatorBase {
+ public:
+  static absl::Status GetContract(CalculatorContract* cc);
+  absl::Status Open(CalculatorContext* cc) override;
+  absl::Status Process(CalculatorContext* cc) override;
+};
+
+}  // namespace mediapipe
+
+#endif  // MEDIAPIPE_CALCULATORS_INTERNAL_CALLBACK_PACKET_CALCULATOR_H_

mediapipe/calculators/tensor/BUILD

@@ -87,6 +87,7 @@ cc_library(
         "//mediapipe/framework/formats:time_series_header_cc_proto",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/util:time_series_util",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
@@ -181,6 +182,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/api2:node",
         "//mediapipe/framework/formats:tensor",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/status",
     ],
     alwayslink = 1,
@@ -198,6 +200,7 @@ cc_test(
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:parse_text_proto",
+        "@com_google_absl//absl/log:absl_check",
         "@org_tensorflow//tensorflow/lite/c:common",
     ],
 )
@@ -228,7 +231,6 @@ cc_library(
         "//mediapipe/tasks/metadata:metadata_schema_cc",
         "@com_google_absl//absl/container:flat_hash_set",
         "@com_google_absl//absl/status",
-        "@com_google_absl//absl/status:statusor",
         "@com_google_absl//absl/strings",
     ],
     alwayslink = 1,
@@ -280,7 +282,6 @@ cc_library(
         "//mediapipe/tasks/cc/text/tokenizers:tokenizer_utils",
         "//mediapipe/tasks/metadata:metadata_schema_cc",
         "@com_google_absl//absl/status",
-        "@com_google_absl//absl/status:statusor",
     ],
     alwayslink = 1,
 )
@@ -476,6 +477,7 @@ cc_library(
         "//mediapipe/gpu:gpu_buffer",
         "//mediapipe/objc:mediapipe_framework_ios",
         "//mediapipe/util/tflite:config",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings:str_format",
         "@org_tensorflow//tensorflow/lite/delegates/gpu:metal_delegate",
@@ -622,6 +624,7 @@ mediapipe_proto_library(
     deps = [
         "//mediapipe/framework:calculator_options_proto",
         "//mediapipe/framework:calculator_proto",
+        "//mediapipe/gpu:gpu_origin_proto",
     ],
 )
 
@@ -651,7 +654,13 @@ cc_library(
         "//mediapipe/framework/formats:matrix",
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:ret_check",
+        "//mediapipe/framework/port:status",
+        "//mediapipe/framework/port:statusor",
+        "//mediapipe/gpu:gpu_buffer_format",
+        "//mediapipe/gpu:gpu_origin_cc_proto",
         "//mediapipe/util:resource_util",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/strings:str_format",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
         "//conditions:default": ["tensor_converter_calculator_gpu_deps"],
@@ -701,6 +710,7 @@ cc_test(
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:integral_types",
+        "//mediapipe/framework/port:opencv_core",
         "//mediapipe/framework/port:parse_text_proto",
         "//mediapipe/framework/tool:validate_type",
         "@com_google_absl//absl/memory",
@@ -739,6 +749,8 @@ cc_library(
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/formats/object_detection:anchor_cc_proto",
         "//mediapipe/framework/port:ret_check",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings:str_format",
         "@com_google_absl//absl/types:span",
     ] + selects.with_or({
@@ -795,6 +807,7 @@ cc_library(
         "//mediapipe/framework/formats:landmark_cc_proto",
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/framework/port:ret_check",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -987,6 +1000,8 @@ cc_library(
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/port:statusor",
         "//mediapipe/gpu:gpu_origin_cc_proto",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
         "//conditions:default": [":image_to_tensor_calculator_gpu_deps"],
@@ -1079,6 +1094,7 @@ cc_test(
         "//mediapipe/framework/port:parse_text_proto",
         "//mediapipe/util:image_test_utils",
         "@com_google_absl//absl/flags:flag",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings",
         "@com_google_absl//absl/strings:str_format",
@@ -1206,6 +1222,7 @@ cc_library(
             "//mediapipe/gpu:gl_calculator_helper",
             "//mediapipe/gpu:gl_simple_shaders",
             "//mediapipe/gpu:shader_util",
+            "@com_google_absl//absl/log:absl_log",
             "@com_google_absl//absl/strings",
         ],
     }),

mediapipe/calculators/tensor/audio_to_tensor_calculator.cc

@@ -20,6 +20,7 @@
 #include <utility>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "absl/status/status.h"
 #include "absl/status/statusor.h"
@@ -282,13 +283,17 @@ absl::Status AudioToTensorCalculator::Open(CalculatorContext* cc) {
   if (options.has_volume_gain_db()) {
     gain_ = pow(10, options.volume_gain_db() / 20.0);
   }
+  if (options.has_source_sample_rate()) {
+    source_sample_rate_ = options.source_sample_rate();
+  } else {
     RET_CHECK(kAudioSampleRateIn(cc).IsConnected() ^
               !kAudioIn(cc).Header().IsEmpty())
         << "Must either specify the time series header of the \"AUDIO\" stream "
            "or have the \"SAMPLE_RATE\" stream connected.";
     if (!kAudioIn(cc).Header().IsEmpty()) {
       mediapipe::TimeSeriesHeader input_header;
-    MP_RETURN_IF_ERROR(mediapipe::time_series_util::FillTimeSeriesHeaderIfValid(
+      MP_RETURN_IF_ERROR(
+          mediapipe::time_series_util::FillTimeSeriesHeaderIfValid(
               kAudioIn(cc).Header(), &input_header));
       if (stream_mode_) {
         MP_RETURN_IF_ERROR(SetupStreamingResampler(input_header.sample_rate()));
@@ -296,6 +301,7 @@ absl::Status AudioToTensorCalculator::Open(CalculatorContext* cc) {
         source_sample_rate_ = input_header.sample_rate();
       }
     }
+  }
   AppendZerosToSampleBuffer(padding_samples_before_);
   if (options.has_fft_size()) {
     RET_CHECK(IsValidFftSize(options.fft_size()))
@@ -343,7 +349,7 @@ absl::Status AudioToTensorCalculator::Process(CalculatorContext* cc) {
     return absl::InvalidArgumentError(
         "The audio data should be stored in column-major.");
   }
-  CHECK(channels_match || mono_output);
+  ABSL_CHECK(channels_match || mono_output);
   const Matrix& input = channels_match ? input_frame
                                        // Mono mixdown.
                                        : input_frame.colwise().mean();
@@ -452,7 +458,7 @@ absl::Status AudioToTensorCalculator::SetupStreamingResampler(
 }
 
 void AudioToTensorCalculator::AppendZerosToSampleBuffer(int num_samples) {
-  CHECK_GE(num_samples, 0);  // Ensured by `UpdateContract`.
+  ABSL_CHECK_GE(num_samples, 0);  // Ensured by `UpdateContract`.
   if (num_samples == 0) {
     return;
   }

mediapipe/calculators/tensor/audio_to_tensor_calculator.proto

@@ -85,4 +85,7 @@ message AudioToTensorCalculatorOptions {
   // The volume gain, measured in dB.
   // Scale the input audio amplitude by 10^(volume_gain_db/20).
   optional double volume_gain_db = 12;
+
+  // The source number of samples per second (hertz) of the input audio buffers.
+  optional double source_sample_rate = 13;
 }

mediapipe/calculators/tensor/bert_preprocessor_calculator.cc

@@ -22,7 +22,6 @@
 
 #include "absl/container/flat_hash_set.h"
 #include "absl/status/status.h"
-#include "absl/status/statusor.h"
 #include "absl/strings/ascii.h"
 #include "absl/strings/string_view.h"
 #include "absl/strings/substitute.h"
@@ -244,7 +243,8 @@ std::vector<Tensor> BertPreprocessorCalculator::GenerateInputTensors(
   input_tensors.reserve(kNumInputTensorsForBert);
   for (int i = 0; i < kNumInputTensorsForBert; ++i) {
     input_tensors.push_back(
-        {Tensor::ElementType::kInt32, Tensor::Shape({tensor_size})});
+        {Tensor::ElementType::kInt32,
+         Tensor::Shape({1, tensor_size}, has_dynamic_input_tensors_)});
   }
   std::memcpy(input_tensors[input_ids_tensor_index_]
                   .GetCpuWriteView()

mediapipe/calculators/tensor/feedback_tensors_calculator_test.cc

@@ -18,6 +18,7 @@
 #include <utility>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tensor/feedback_tensors_calculator.pb.h"
 #include "mediapipe/framework/calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -65,7 +66,7 @@ template <typename T>
 Tensor MakeTensor(std::initializer_list<int> shape,
                   std::initializer_list<T> values) {
   Tensor tensor(TensorElementType<T>::value, shape);
-  CHECK_EQ(values.size(), tensor.shape().num_elements())
+  ABSL_CHECK_EQ(values.size(), tensor.shape().num_elements())
       << "The size of `values` is incompatible with `shape`";
   absl::c_copy(values, tensor.GetCpuWriteView().buffer<T>());
   return tensor;

mediapipe/calculators/tensor/image_to_tensor_calculator.cc

@@ -16,6 +16,7 @@
 #include <memory>
 #include <vector>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensor/image_to_tensor_calculator.pb.h"
 #include "mediapipe/calculators/tensor/image_to_tensor_converter.h"
 #include "mediapipe/calculators/tensor/image_to_tensor_utils.h"
@@ -284,7 +285,7 @@ class ImageToTensorCalculator : public Node {
                              cc, GetBorderMode(options_.border_mode()),
                              GetOutputTensorType(/*uses_gpu=*/false, params_)));
 #else
-        LOG(FATAL) << "Cannot create image to tensor CPU converter since "
+        ABSL_LOG(FATAL) << "Cannot create image to tensor CPU converter since "
                            "MEDIAPIPE_DISABLE_OPENCV is defined and "
                            "MEDIAPIPE_ENABLE_HALIDE is not defined.";
 #endif  // !MEDIAPIPE_DISABLE_HALIDE

mediapipe/calculators/tensor/image_to_tensor_calculator_test.cc

@@ -18,6 +18,7 @@
 #include <vector>
 
 #include "absl/flags/flag.h"
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/str_format.h"
 #include "absl/strings/substitute.h"
@@ -205,7 +206,7 @@ mediapipe::ImageFormat::Format GetImageFormat(int image_channels) {
   } else if (image_channels == 1) {
     return ImageFormat::GRAY8;
   }
-  CHECK(false) << "Unsupported input image channles: " << image_channels;
+  ABSL_CHECK(false) << "Unsupported input image channles: " << image_channels;
 }
 
 Packet MakeImageFramePacket(cv::Mat input) {

mediapipe/calculators/tensor/image_to_tensor_converter_gl_texture.cc

@@ -22,6 +22,7 @@
 #include <memory>
 #include <vector>
 
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_cat.h"
 #include "mediapipe/calculators/tensor/image_to_tensor_converter.h"
 #include "mediapipe/calculators/tensor/image_to_tensor_converter_gl_utils.h"
@@ -259,7 +260,7 @@ class GlProcessor : public ImageToTensorConverter {
     // error. So in that case, we'll grab the transpose of our original matrix
     // and send that instead.
     const auto gl_context = mediapipe::GlContext::GetCurrent();
-    LOG_IF(FATAL, !gl_context) << "GlContext is not bound to the thread.";
+    ABSL_LOG_IF(FATAL, !gl_context) << "GlContext is not bound to the thread.";
     if (gl_context->GetGlVersion() == mediapipe::GlVersion::kGLES2) {
       GetTransposedRotatedSubRectToRectTransformMatrix(
           sub_rect, texture.width(), texture.height(), flip_horizontaly,

mediapipe/calculators/tensor/inference_calculator.proto

@@ -88,6 +88,20 @@ message InferenceCalculatorOptions {
       // serialized model is invalid or missing.
       optional string serialized_model_dir = 7;
 
+      enum CacheWritingBehavior {
+        // Do not write any caches.
+        NO_WRITE = 0;
+
+        // Try to write caches, log on failure.
+        TRY_WRITE = 1;
+
+        // Write caches or return an error if write fails.
+        WRITE_OR_ERROR = 2;
+      }
+      // Specifies how GPU caches are written to disk.
+      optional CacheWritingBehavior cache_writing_behavior = 10
+          [default = WRITE_OR_ERROR];
+
       // Unique token identifying the model. Used in conjunction with
       // "serialized_model_dir". It is the caller's responsibility to ensure
       // there is no clash of the tokens.

mediapipe/calculators/tensor/inference_calculator_gl_advanced.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
 #include <cstring>
 #include <memory>
 #include <string>
@@ -26,6 +27,7 @@
 #include "mediapipe/util/tflite/tflite_gpu_runner.h"
 
 #if defined(MEDIAPIPE_ANDROID) || defined(MEDIAPIPE_CHROMIUMOS)
+#include "absl/log/absl_log.h"
 #include "mediapipe/framework/deps/file_path.h"
 #include "mediapipe/util/android/file/base/file.h"
 #include "mediapipe/util/android/file/base/filesystem.h"
@@ -68,13 +70,21 @@ class InferenceCalculatorGlAdvancedImpl
         const mediapipe::InferenceCalculatorOptions::Delegate::Gpu&
             gpu_delegate_options);
     absl::Status ReadGpuCaches(tflite::gpu::TFLiteGPURunner* gpu_runner) const;
-    absl::Status SaveGpuCaches(tflite::gpu::TFLiteGPURunner* gpu_runner) const;
+    // Writes caches to disk based on |cache_writing_behavior_|.
+    absl::Status SaveGpuCachesBasedOnBehavior(
+        tflite::gpu::TFLiteGPURunner* gpu_runner) const;
+    bool UseSerializedModel() const { return use_serialized_model_; }
 
    private:
+    // Writes caches to disk, returns error on failure.
+    absl::Status SaveGpuCaches(tflite::gpu::TFLiteGPURunner* gpu_runner) const;
+
     bool use_kernel_caching_ = false;
     std::string cached_kernel_filename_;
     bool use_serialized_model_ = false;
     std::string serialized_model_path_;
+    mediapipe::InferenceCalculatorOptions::Delegate::Gpu::CacheWritingBehavior
+        cache_writing_behavior_;
   };
 
   // Helper class that wraps everything related to GPU inference acceleration.
@@ -150,8 +160,6 @@ InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::Process(
 }
 
 absl::Status InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::Close() {
-  MP_RETURN_IF_ERROR(
-      on_disk_cache_helper_.SaveGpuCaches(tflite_gpu_runner_.get()));
   return gpu_helper_.RunInGlContext([this]() -> absl::Status {
     tflite_gpu_runner_.reset();
     return absl::OkStatus();
@@ -226,9 +234,15 @@ InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::InitTFLiteGPURunner(
                          tflite_gpu_runner_->GetOutputShapes()[i].c};
   }
 
+  if (on_disk_cache_helper_.UseSerializedModel()) {
+    tflite_gpu_runner_->ForceOpenCLInitFromSerializedModel();
+  }
+
   MP_RETURN_IF_ERROR(
       on_disk_cache_helper_.ReadGpuCaches(tflite_gpu_runner_.get()));
-  return tflite_gpu_runner_->Build();
+  MP_RETURN_IF_ERROR(tflite_gpu_runner_->Build());
+  return on_disk_cache_helper_.SaveGpuCachesBasedOnBehavior(
+      tflite_gpu_runner_.get());
 }
 
 #if defined(MEDIAPIPE_ANDROID) || defined(MEDIAPIPE_CHROMIUMOS)
@@ -257,9 +271,36 @@ absl::Status InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::Init(
         mediapipe::file::JoinPath(gpu_delegate_options.serialized_model_dir(),
                                   gpu_delegate_options.model_token());
   }
+  cache_writing_behavior_ = gpu_delegate_options.has_cache_writing_behavior()
+                                ? gpu_delegate_options.cache_writing_behavior()
+                                : mediapipe::InferenceCalculatorOptions::
+                                      Delegate::Gpu::WRITE_OR_ERROR;
   return absl::OkStatus();
 }
 
+absl::Status InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::
+    SaveGpuCachesBasedOnBehavior(
+        tflite::gpu::TFLiteGPURunner* gpu_runner) const {
+  switch (cache_writing_behavior_) {
+    case mediapipe::InferenceCalculatorOptions::Delegate::Gpu::NO_WRITE:
+      return absl::OkStatus();
+    case mediapipe::InferenceCalculatorOptions::Delegate::Gpu::TRY_WRITE: {
+      auto status = SaveGpuCaches(gpu_runner);
+      if (!status.ok()) {
+        ABSL_LOG_FIRST_N(WARNING, 1) << "Failed to save gpu caches: " << status;
+      }
+      return absl::OkStatus();
+    }
+    case mediapipe::InferenceCalculatorOptions::Delegate::Gpu::WRITE_OR_ERROR:
+      return SaveGpuCaches(gpu_runner);
+    default:
+      ABSL_LOG_FIRST_N(ERROR, 1)
+          << "Unknown cache writing behavior: "
+          << static_cast<uint32_t>(cache_writing_behavior_);
+      return absl::InvalidArgumentError("Unknown cache writing behavior.");
+  }
+}
+
 absl::Status
 InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::SaveGpuCaches(
     tflite::gpu::TFLiteGPURunner* gpu_runner) const {

mediapipe/calculators/tensor/inference_calculator_metal.cc

@@ -21,6 +21,7 @@
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_log.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/str_format.h"
 #include "mediapipe/calculators/tensor/inference_calculator.h"
@@ -74,7 +75,7 @@ tflite::gpu::BHWC BhwcFromTensorShape(const Tensor::Shape& shape) {
       break;
     default:
       // Handles 0 and >4.
-      LOG(FATAL)
+      ABSL_LOG(FATAL)
           << "Dimensions size must be in range [1,4] for GPU inference, but "
           << shape.dims.size() << " is provided";
   }

mediapipe/calculators/tensor/inference_calculator_test.cc

@@ -16,7 +16,7 @@
 #include <string>
 #include <vector>
 
-#include "absl/log/check.h"
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/str_replace.h"
 #include "absl/strings/string_view.h"

mediapipe/calculators/tensor/inference_interpreter_delegate_runner.cc

@@ -96,6 +96,19 @@ absl::StatusOr<std::vector<Tensor>> InferenceInterpreterDelegateRunner::Run(
     CalculatorContext* cc, const std::vector<Tensor>& input_tensors) {
   // Read CPU input into tensors.
   RET_CHECK_EQ(interpreter_->inputs().size(), input_tensors.size());
+
+  // If the input tensors have dynamic shape, then the tensors need to be
+  // resized and reallocated before we can copy the tensor values.
+  bool resized_tensor_shapes = false;
+  for (int i = 0; i < input_tensors.size(); ++i) {
+    if (input_tensors[i].shape().is_dynamic) {
+      interpreter_->ResizeInputTensorStrict(i, input_tensors[i].shape().dims);
+      resized_tensor_shapes = true;
+    }
+  }
+  // Reallocation is needed for memory sanity.
+  if (resized_tensor_shapes) interpreter_->AllocateTensors();
+
   for (int i = 0; i < input_tensors.size(); ++i) {
     const TfLiteType input_tensor_type =
         interpreter_->tensor(interpreter_->inputs()[i])->type;

mediapipe/calculators/tensor/regex_preprocessor_calculator.cc

@@ -20,7 +20,6 @@
 #include <vector>
 
 #include "absl/status/status.h"
-#include "absl/status/statusor.h"
 #include "mediapipe/calculators/tensor/regex_preprocessor_calculator.pb.h"
 #include "mediapipe/framework/api2/node.h"
 #include "mediapipe/framework/api2/port.h"
@@ -161,7 +160,7 @@ absl::Status RegexPreprocessorCalculator::Process(CalculatorContext* cc) {
   // not found in the tokenizer vocab.
   std::vector<Tensor> result;
   result.push_back(
-      {Tensor::ElementType::kInt32, Tensor::Shape({max_seq_len_})});
+      {Tensor::ElementType::kInt32, Tensor::Shape({1, max_seq_len_})});
   std::memcpy(result[0].GetCpuWriteView().buffer<int32_t>(),
               input_tokens.data(), input_tokens.size() * sizeof(int32_t));
   kTensorsOut(cc).Send(std::move(result));

mediapipe/calculators/tensor/tensor_converter_calculator.cc

@@ -12,9 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_check.h"
+#include "absl/status/status.h"
+#include "absl/status/statusor.h"
+#include "absl/strings/str_format.h"
 #include "mediapipe/calculators/tensor/tensor_converter_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame.h"
@@ -22,7 +27,8 @@
 #include "mediapipe/framework/formats/tensor.h"
 #include "mediapipe/framework/port.h"
 #include "mediapipe/framework/port/ret_check.h"
-#include "mediapipe/util/resource_util.h"
+#include "mediapipe/gpu/gpu_buffer_format.h"
+#include "mediapipe/gpu/gpu_origin.pb.h"
 
 #if !MEDIAPIPE_DISABLE_GPU
 #include "mediapipe/gpu/gpu_buffer.h"
@@ -43,12 +49,36 @@
 #endif  // !MEDIAPIPE_DISABLE_GPU
 
 namespace {
+
 constexpr int kWorkgroupSize = 8;  // Block size for GPU shader.
 // Commonly used to compute the number of blocks to launch in a kernel.
 int NumGroups(const int size, const int group_size) {  // NOLINT
   return (size + group_size - 1) / group_size;
 }
 
+absl::StatusOr<bool> ShouldFlipVertically(
+    const mediapipe::TensorConverterCalculatorOptions& options) {
+  if (!options.has_gpu_origin()) {
+    return options.flip_vertically();
+  }
+
+  switch (options.gpu_origin()) {
+    case mediapipe::GpuOrigin::TOP_LEFT:
+      return false;
+    case mediapipe::GpuOrigin::DEFAULT:
+    case mediapipe::GpuOrigin::CONVENTIONAL:
+      // TOP_LEFT on Metal, BOTTOM_LEFT on OpenGL.
+#ifdef __APPLE__
+      return false;
+#else
+      return true;
+#endif
+  }
+
+  return absl::InvalidArgumentError(
+      absl::StrFormat("Unhandled GPU origin %i", options.gpu_origin()));
+}
+
 typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>
     RowMajorMatrixXf;
 typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::ColMajor>
@@ -58,6 +88,7 @@ constexpr char kImageFrameTag[] = "IMAGE";
 constexpr char kGpuBufferTag[] = "IMAGE_GPU";
 constexpr char kTensorsTag[] = "TENSORS";
 constexpr char kMatrixTag[] = "MATRIX";
+
 }  // namespace
 
 namespace mediapipe {
@@ -378,16 +409,27 @@ absl::Status TensorConverterCalculator::InitGpu(CalculatorContext* cc) {
   // Get input image sizes.
   const auto& input =
       cc->Inputs().Tag(kGpuBufferTag).Get<mediapipe::GpuBuffer>();
-  mediapipe::ImageFormat::Format format =
+  mediapipe::GpuBufferFormat format = input.format();
-      mediapipe::ImageFormatForGpuBufferFormat(input.format());
   const bool include_alpha = (max_num_channels_ == 4);
   const bool single_channel = (max_num_channels_ == 1);
-  if (!(format == mediapipe::ImageFormat::GRAY8 ||
+
-        format == mediapipe::ImageFormat::SRGB ||
+  RET_CHECK(format == mediapipe::GpuBufferFormat::kBGRA32 ||
-        format == mediapipe::ImageFormat::SRGBA))
+            format == mediapipe::GpuBufferFormat::kRGB24 ||
-    RET_CHECK_FAIL() << "Unsupported GPU input format.";
+            format == mediapipe::GpuBufferFormat::kRGBA32 ||
-  if (include_alpha && (format != mediapipe::ImageFormat::SRGBA))
+            format == mediapipe::GpuBufferFormat::kRGBAFloat128 ||
-    RET_CHECK_FAIL() << "Num input channels is less than desired output.";
+            format == mediapipe::GpuBufferFormat::kRGBAHalf64 ||
+            format == mediapipe::GpuBufferFormat::kGrayFloat32 ||
+            format == mediapipe::GpuBufferFormat::kGrayHalf16 ||
+            format == mediapipe::GpuBufferFormat::kOneComponent8)
+      << "Unsupported GPU input format: " << static_cast<uint32_t>(format);
+  if (include_alpha) {
+    RET_CHECK(format == mediapipe::GpuBufferFormat::kBGRA32 ||
+              format == mediapipe::GpuBufferFormat::kRGBA32 ||
+              format == mediapipe::GpuBufferFormat::kRGBAFloat128 ||
+              format == mediapipe::GpuBufferFormat::kRGBAHalf64)
+        << "Num input channels is less than desired output, input format: "
+        << static_cast<uint32_t>(format);
+  }
 
 #if MEDIAPIPE_METAL_ENABLED
   id<MTLDevice> device = gpu_helper_.mtlDevice;
@@ -582,7 +624,7 @@ absl::Status TensorConverterCalculator::LoadOptions(CalculatorContext* cc) {
   if (options.has_output_tensor_float_range()) {
     output_range_.emplace(options.output_tensor_float_range().min(),
                           options.output_tensor_float_range().max());
-    CHECK_GT(output_range_->second, output_range_->first);
+    ABSL_CHECK_GT(output_range_->second, output_range_->first);
   }
 
   // Custom div and sub values.
@@ -593,16 +635,16 @@ absl::Status TensorConverterCalculator::LoadOptions(CalculatorContext* cc) {
   }
 
   // Get y-flip mode.
-  flip_vertically_ = options.flip_vertically();
+  ASSIGN_OR_RETURN(flip_vertically_, ShouldFlipVertically(options));
 
   // Get row_major_matrix mode.
   row_major_matrix_ = options.row_major_matrix();
 
   // Get desired way to handle input channels.
   max_num_channels_ = options.max_num_channels();
-  CHECK_GE(max_num_channels_, 1);
+  ABSL_CHECK_GE(max_num_channels_, 1);
-  CHECK_LE(max_num_channels_, 4);
+  ABSL_CHECK_LE(max_num_channels_, 4);
-  CHECK_NE(max_num_channels_, 2);
+  ABSL_CHECK_NE(max_num_channels_, 2);
   return absl::OkStatus();
 }
 

mediapipe/calculators/tensor/tensor_converter_calculator.proto

@@ -3,6 +3,7 @@ syntax = "proto2";
 package mediapipe;
 
 import "mediapipe/framework/calculator.proto";
+import "mediapipe/gpu/gpu_origin.proto";
 
 // Full Example:
 //
@@ -43,8 +44,14 @@ message TensorConverterCalculatorOptions {
   // with a coordinate system where the origin is at the bottom-left corner
   // (e.g., in OpenGL) whereas the ML model expects an image with a top-left
   // origin.
+  // Prefer gpu_origin over this field.
   optional bool flip_vertically = 2 [default = false];
 
+  // Determines when the input image should be flipped vertically.
+  // See GpuOrigin.Mode for more information.
+  // If unset, falls back to flip_vertically for backwards compatibility.
+  optional GpuOrigin.Mode gpu_origin = 10;
+
   // Controls how many channels of the input image get passed through to the
   // tensor. Valid values are 1,3,4 only. Ignored for iOS GPU.
   optional int32 max_num_channels = 3 [default = 3];

mediapipe/calculators/tensor/tensor_converter_calculator_test.cc

@@ -12,7 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
+#include <memory>
 #include <random>
+#include <utility>
 #include <vector>
 
 #include "absl/memory/memory.h"
@@ -24,8 +27,10 @@
 #include "mediapipe/framework/formats/image_frame_opencv.h"
 #include "mediapipe/framework/formats/matrix.h"
 #include "mediapipe/framework/formats/tensor.h"
+#include "mediapipe/framework/port/gmock.h"
 #include "mediapipe/framework/port/gtest.h"
 #include "mediapipe/framework/port/integral_types.h"
+#include "mediapipe/framework/port/opencv_core_inc.h"
 #include "mediapipe/framework/port/parse_text_proto.h"
 #include "mediapipe/framework/port/status_matchers.h"  // NOLINT
 #include "mediapipe/framework/tool/validate_type.h"
@@ -40,7 +45,6 @@ constexpr char kTransposeOptionsString[] =
 }  // namespace
 
 using RandomEngine = std::mt19937_64;
-using testing::Eq;
 const uint32_t kSeed = 1234;
 const int kNumSizes = 8;
 const int sizes[kNumSizes][2] = {{1, 1}, {12, 1}, {1, 9},   {2, 2},
@@ -110,12 +114,12 @@ TEST_F(TensorConverterCalculatorTest, RandomMatrixColMajor) {
 
     // Wait until the calculator done processing.
     MP_ASSERT_OK(graph_->WaitUntilIdle());
-    EXPECT_EQ(1, output_packets.size());
+    ASSERT_EQ(output_packets.size(), 1);
 
     // Get and process results.
     const std::vector<Tensor>& tensor_vec =
         output_packets[0].Get<std::vector<Tensor>>();
-    EXPECT_EQ(1, tensor_vec.size());
+    ASSERT_EQ(tensor_vec.size(), 1);
 
     const Tensor* tensor = &tensor_vec[0];
     EXPECT_EQ(Tensor::ElementType::kFloat32, tensor->element_type());
@@ -127,7 +131,7 @@ TEST_F(TensorConverterCalculatorTest, RandomMatrixColMajor) {
     auto tensor_buffer = view.buffer<float>();
     for (int i = 0; i < num_rows * num_columns; ++i) {
       const float expected = uniform_dist(random);
-      EXPECT_EQ(expected, tensor_buffer[i]) << "at i = " << i;
+      EXPECT_FLOAT_EQ(tensor_buffer[i], expected) << "at i = " << i;
     }
 
     // Fully close graph at end, otherwise calculator+tensors are destroyed
@@ -172,12 +176,12 @@ TEST_F(TensorConverterCalculatorTest, RandomMatrixRowMajor) {
 
     // Wait until the calculator done processing.
     MP_ASSERT_OK(graph_->WaitUntilIdle());
-    EXPECT_EQ(1, output_packets.size());
+    ASSERT_EQ(output_packets.size(), 1);
 
     // Get and process results.
     const std::vector<Tensor>& tensor_vec =
         output_packets[0].Get<std::vector<Tensor>>();
-    EXPECT_EQ(1, tensor_vec.size());
+    ASSERT_EQ(tensor_vec.size(), 1);
 
     const Tensor* tensor = &tensor_vec[0];
     EXPECT_EQ(Tensor::ElementType::kFloat32, tensor->element_type());
@@ -189,7 +193,7 @@ TEST_F(TensorConverterCalculatorTest, RandomMatrixRowMajor) {
     auto tensor_buffer = view.buffer<float>();
     for (int i = 0; i < num_rows * num_columns; ++i) {
       const float expected = uniform_dist(random);
-      EXPECT_EQ(expected, tensor_buffer[i]) << "at i = " << i;
+      EXPECT_EQ(tensor_buffer[i], expected) << "at i = " << i;
     }
 
     // Fully close graph at end, otherwise calculator+tensors are destroyed
@@ -239,12 +243,12 @@ TEST_F(TensorConverterCalculatorTest, CustomDivAndSub) {
   // Get and process results.
   const std::vector<Tensor>& tensor_vec =
       output_packets[0].Get<std::vector<Tensor>>();
-  EXPECT_EQ(1, tensor_vec.size());
+  ASSERT_EQ(tensor_vec.size(), 1);
 
   const Tensor* tensor = &tensor_vec[0];
   EXPECT_EQ(Tensor::ElementType::kFloat32, tensor->element_type());
   auto view = tensor->GetCpuReadView();
-  EXPECT_FLOAT_EQ(67.0f, *view.buffer<float>());
+  EXPECT_FLOAT_EQ(*view.buffer<float>(), 67.0f);
 
   // Fully close graph at end, otherwise calculator+tensors are destroyed
   // after calling WaitUntilDone().
@@ -259,8 +263,8 @@ TEST_F(TensorConverterCalculatorTest, SetOutputRange) {
   for (std::pair<float, float> range : range_values) {
     CalculatorGraph graph;
     CalculatorGraphConfig graph_config =
-        mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(
+        mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(absl::Substitute(
-            absl::Substitute(R"(
+            R"pb(
               input_stream: "input_image"
               node {
                 calculator: "TensorConverterCalculator"
@@ -268,14 +272,11 @@ TEST_F(TensorConverterCalculatorTest, SetOutputRange) {
                 output_stream: "TENSORS:tensor"
                 options {
                   [mediapipe.TensorConverterCalculatorOptions.ext] {
-              output_tensor_float_range {
+                    output_tensor_float_range { min: $0 max: $1 }
-                min: $0
-                max: $1
                   }
                 }
               }
-        }
+            )pb",
-        )",
             /*$0=*/range.first,
             /*$1=*/range.second));
     std::vector<Packet> output_packets;
@@ -292,26 +293,23 @@ TEST_F(TensorConverterCalculatorTest, SetOutputRange) {
 
     // Wait until the calculator finishes processing.
     MP_ASSERT_OK(graph.WaitUntilIdle());
-    EXPECT_THAT(output_packets.size(), Eq(1));
+    ASSERT_EQ(output_packets.size(), 1);
 
     // Get and process results.
     const std::vector<Tensor>& tensor_vec =
         output_packets[0].Get<std::vector<Tensor>>();
-    EXPECT_THAT(tensor_vec.size(), Eq(1));
+    ASSERT_EQ(tensor_vec.size(), 1);
 
     const Tensor* tensor = &tensor_vec[0];
 
     // Calculate the expected normalized value:
-    float normalized_value =
+    float expected_value =
         range.first + (200 * (range.second - range.first)) / 255.0;
 
-    EXPECT_THAT(tensor->element_type(), Eq(Tensor::ElementType::kFloat32));
+    EXPECT_EQ(tensor->element_type(), Tensor::ElementType::kFloat32);
     auto view = tensor->GetCpuReadView();
-    float dataf = *view.buffer<float>();
+    float actual_value = *view.buffer<float>();
-    EXPECT_THAT(
+    EXPECT_FLOAT_EQ(actual_value, expected_value);
-        normalized_value,
-        testing::FloatNear(dataf, 2.0f * std::abs(dataf) *
-                                      std::numeric_limits<float>::epsilon()));
 
     // Fully close graph at end, otherwise calculator+tensors are destroyed
     // after calling WaitUntilDone().
@@ -320,4 +318,113 @@ TEST_F(TensorConverterCalculatorTest, SetOutputRange) {
   }
 }
 
+TEST_F(TensorConverterCalculatorTest, FlipVertically) {
+  CalculatorGraph graph;
+  CalculatorGraphConfig graph_config =
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+        input_stream: "input_image"
+        node {
+          calculator: "TensorConverterCalculator"
+          input_stream: "IMAGE:input_image"
+          output_stream: "TENSORS:tensor"
+          options {
+            [mediapipe.TensorConverterCalculatorOptions.ext] {
+              flip_vertically: true
+              output_tensor_float_range { min: 0 max: 255 }
+            }
+          }
+        }
+      )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("tensor", &graph_config, &output_packets);
+
+  // Run the graph.
+  MP_ASSERT_OK(graph.Initialize(graph_config));
+  MP_ASSERT_OK(graph.StartRun({}));
+  auto input_image = absl::make_unique<ImageFrame>(ImageFormat::GRAY8, 1, 2);
+  cv::Mat mat = mediapipe::formats::MatView(input_image.get());
+  constexpr uint8_t kY0Value = 100;
+  constexpr uint8_t kY1Value = 200;
+  mat.at<uint8_t>(0, 0) = kY0Value;
+  mat.at<uint8_t>(1, 0) = kY1Value;  // Note: y, x!
+  MP_ASSERT_OK(graph.AddPacketToInputStream(
+      "input_image", Adopt(input_image.release()).At(Timestamp(0))));
+
+  // Wait until the calculator finishes processing.
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  ASSERT_EQ(output_packets.size(), 1);
+
+  // Get and process results.
+  const std::vector<Tensor>& tensor_vec =
+      output_packets[0].Get<std::vector<Tensor>>();
+  ASSERT_EQ(tensor_vec.size(), 1);
+
+  const Tensor* tensor = &tensor_vec[0];
+
+  EXPECT_EQ(tensor->element_type(), Tensor::ElementType::kFloat32);
+  const float* dataf = tensor->GetCpuReadView().buffer<float>();
+  EXPECT_EQ(static_cast<int>(roundf(dataf[0])), kY1Value);  // Y0, Y1 flipped!
+  EXPECT_EQ(static_cast<int>(roundf(dataf[1])), kY0Value);
+
+  // Fully close graph at end, otherwise calculator+tensors are destroyed
+  // after calling WaitUntilDone().
+  MP_ASSERT_OK(graph.CloseInputStream("input_image"));
+  MP_ASSERT_OK(graph.WaitUntilDone());
+}
+
+TEST_F(TensorConverterCalculatorTest, GpuOriginOverridesFlipVertically) {
+  CalculatorGraph graph;
+  CalculatorGraphConfig graph_config =
+      mediapipe::ParseTextProtoOrDie<CalculatorGraphConfig>(R"pb(
+        input_stream: "input_image"
+        node {
+          calculator: "TensorConverterCalculator"
+          input_stream: "IMAGE:input_image"
+          output_stream: "TENSORS:tensor"
+          options {
+            [mediapipe.TensorConverterCalculatorOptions.ext] {
+              flip_vertically: true
+              gpu_origin: TOP_LEFT
+              output_tensor_float_range { min: 0 max: 255 }
+            }
+          }
+        }
+      )pb");
+  std::vector<Packet> output_packets;
+  tool::AddVectorSink("tensor", &graph_config, &output_packets);
+
+  // Run the graph.
+  MP_ASSERT_OK(graph.Initialize(graph_config));
+  MP_ASSERT_OK(graph.StartRun({}));
+  auto input_image = absl::make_unique<ImageFrame>(ImageFormat::GRAY8, 1, 2);
+  cv::Mat mat = mediapipe::formats::MatView(input_image.get());
+  constexpr uint8_t kY0Value = 100;
+  constexpr uint8_t kY1Value = 200;
+  mat.at<uint8_t>(0, 0) = kY0Value;
+  mat.at<uint8_t>(1, 0) = kY1Value;  // Note: y, x!
+  MP_ASSERT_OK(graph.AddPacketToInputStream(
+      "input_image", Adopt(input_image.release()).At(Timestamp(0))));
+
+  // Wait until the calculator finishes processing.
+  MP_ASSERT_OK(graph.WaitUntilIdle());
+  ASSERT_EQ(output_packets.size(), 1);
+
+  // Get and process results.
+  const std::vector<Tensor>& tensor_vec =
+      output_packets[0].Get<std::vector<Tensor>>();
+  ASSERT_EQ(tensor_vec.size(), 1);
+
+  const Tensor* tensor = &tensor_vec[0];
+
+  EXPECT_EQ(tensor->element_type(), Tensor::ElementType::kFloat32);
+  const float* dataf = tensor->GetCpuReadView().buffer<float>();
+  EXPECT_EQ(static_cast<int>(roundf(dataf[0])), kY0Value);  // Not flipped!
+  EXPECT_EQ(static_cast<int>(roundf(dataf[1])), kY1Value);
+
+  // Fully close graph at end, otherwise calculator+tensors are destroyed
+  // after calling WaitUntilDone().
+  MP_ASSERT_OK(graph.CloseInputStream("input_image"));
+  MP_ASSERT_OK(graph.WaitUntilDone());
+}
+
 }  // namespace mediapipe

mediapipe/calculators/tensor/tensors_to_detections_calculator.cc

@@ -15,6 +15,7 @@
 #include <unordered_map>
 #include <vector>
 
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_format.h"
 #include "absl/types/span.h"
 #include "mediapipe/calculators/tensor/tensors_to_detections_calculator.pb.h"
@@ -83,7 +84,7 @@ void ConvertRawValuesToAnchors(const float* raw_anchors, int num_boxes,
 
 void ConvertAnchorsToRawValues(const std::vector<Anchor>& anchors,
                                int num_boxes, float* raw_anchors) {
-  CHECK_EQ(anchors.size(), num_boxes);
+  ABSL_CHECK_EQ(anchors.size(), num_boxes);
   int box = 0;
   for (const auto& anchor : anchors) {
     raw_anchors[box * kNumCoordsPerBox + 0] = anchor.y_center();
@@ -256,6 +257,7 @@ class TensorsToDetectionsCalculator : public Node {
 
   bool gpu_inited_ = false;
   bool gpu_input_ = false;
+  bool gpu_has_enough_work_groups_ = true;
   bool anchors_init_ = false;
 };
 MEDIAPIPE_REGISTER_NODE(TensorsToDetectionsCalculator);
@@ -291,7 +293,7 @@ absl::Status TensorsToDetectionsCalculator::Open(CalculatorContext* cc) {
 absl::Status TensorsToDetectionsCalculator::Process(CalculatorContext* cc) {
   auto output_detections = absl::make_unique<std::vector<Detection>>();
   bool gpu_processing = false;
-  if (CanUseGpu()) {
+  if (CanUseGpu() && gpu_has_enough_work_groups_) {
     // Use GPU processing only if at least one input tensor is already on GPU
     // (to avoid CPU->GPU overhead).
     for (const auto& tensor : *kInTensors(cc)) {
@@ -321,11 +323,20 @@ absl::Status TensorsToDetectionsCalculator::Process(CalculatorContext* cc) {
     RET_CHECK(!has_custom_box_indices_);
   }
 
-  if (gpu_processing) {
+  if (gpu_processing && !gpu_inited_) {
-    if (!gpu_inited_) {
+    auto status = GpuInit(cc);
-      MP_RETURN_IF_ERROR(GpuInit(cc));
+    if (status.ok()) {
       gpu_inited_ = true;
+    } else if (status.code() == absl::StatusCode::kFailedPrecondition) {
+      // For initialization error because of hardware limitation, fallback to
+      // CPU processing.
+      ABSL_LOG(WARNING) << status.message();
+    } else {
+      // For other error, let the error propagates.
+      return status;
     }
+  }
+  if (gpu_processing && gpu_inited_) {
     MP_RETURN_IF_ERROR(ProcessGPU(cc, output_detections.get()));
   } else {
     MP_RETURN_IF_ERROR(ProcessCPU(cc, output_detections.get()));
@@ -346,17 +357,41 @@ absl::Status TensorsToDetectionsCalculator::ProcessCPU(
     // TODO: Add flexible input tensor size handling.
     auto raw_box_tensor =
         &input_tensors[tensor_mapping_.detections_tensor_index()];
-    RET_CHECK_EQ(raw_box_tensor->shape().dims.size(), 3);
-    RET_CHECK_EQ(raw_box_tensor->shape().dims[0], 1);
     RET_CHECK_GT(num_boxes_, 0) << "Please set num_boxes in calculator options";
+    if (raw_box_tensor->shape().dims.size() == 3) {
+      // The tensors from CPU inference has dim 3.
+      RET_CHECK_EQ(raw_box_tensor->shape().dims[0], 1);
       RET_CHECK_EQ(raw_box_tensor->shape().dims[1], num_boxes_);
       RET_CHECK_EQ(raw_box_tensor->shape().dims[2], num_coords_);
+    } else if (raw_box_tensor->shape().dims.size() == 4) {
+      // The tensors from GPU inference has dim 4. For gpu-cpu fallback support,
+      // we allow tensors with 4 dims.
+      RET_CHECK_EQ(raw_box_tensor->shape().dims[0], 1);
+      RET_CHECK_EQ(raw_box_tensor->shape().dims[1], 1);
+      RET_CHECK_EQ(raw_box_tensor->shape().dims[2], num_boxes_);
+      RET_CHECK_EQ(raw_box_tensor->shape().dims[3], num_coords_);
+    } else {
+      return absl::InvalidArgumentError(
+          "The dimensions of box Tensor must be 3 or 4.");
+    }
     auto raw_score_tensor =
         &input_tensors[tensor_mapping_.scores_tensor_index()];
-    RET_CHECK_EQ(raw_score_tensor->shape().dims.size(), 3);
+    if (raw_score_tensor->shape().dims.size() == 3) {
+      // The tensors from CPU inference has dim 3.
       RET_CHECK_EQ(raw_score_tensor->shape().dims[0], 1);
       RET_CHECK_EQ(raw_score_tensor->shape().dims[1], num_boxes_);
       RET_CHECK_EQ(raw_score_tensor->shape().dims[2], num_classes_);
+    } else if (raw_score_tensor->shape().dims.size() == 4) {
+      // The tensors from GPU inference has dim 4. For gpu-cpu fallback support,
+      // we allow tensors with 4 dims.
+      RET_CHECK_EQ(raw_score_tensor->shape().dims[0], 1);
+      RET_CHECK_EQ(raw_score_tensor->shape().dims[1], 1);
+      RET_CHECK_EQ(raw_score_tensor->shape().dims[2], num_boxes_);
+      RET_CHECK_EQ(raw_score_tensor->shape().dims[3], num_classes_);
+    } else {
+      return absl::InvalidArgumentError(
+          "The dimensions of score Tensor must be 3 or 4.");
+    }
     auto raw_box_view = raw_box_tensor->GetCpuReadView();
     auto raw_boxes = raw_box_view.buffer<float>();
     auto raw_scores_view = raw_score_tensor->GetCpuReadView();
@@ -634,7 +669,7 @@ absl::Status TensorsToDetectionsCalculator::ProcessGPU(
                                          output_detections));
 
 #else
-  LOG(ERROR) << "GPU input on non-Android not supported yet.";
+  ABSL_LOG(ERROR) << "GPU input on non-Android not supported yet.";
 #endif  // !defined(MEDIAPIPE_DISABLE_GL_COMPUTE)
   return absl::OkStatus();
 }
@@ -669,16 +704,16 @@ absl::Status TensorsToDetectionsCalculator::LoadOptions(CalculatorContext* cc) {
   num_boxes_ = options_.num_boxes();
   num_coords_ = options_.num_coords();
   box_output_format_ = GetBoxFormat(options_);
-  CHECK_NE(options_.max_results(), 0)
+  ABSL_CHECK_NE(options_.max_results(), 0)
       << "The maximum number of the top-scored detection results must be "
          "non-zero.";
   max_results_ = options_.max_results();
 
   // Currently only support 2D when num_values_per_keypoint equals to 2.
-  CHECK_EQ(options_.num_values_per_keypoint(), 2);
+  ABSL_CHECK_EQ(options_.num_values_per_keypoint(), 2);
 
   // Check if the output size is equal to the requested boxes and keypoints.
-  CHECK_EQ(options_.num_keypoints() * options_.num_values_per_keypoint() +
+  ABSL_CHECK_EQ(options_.num_keypoints() * options_.num_values_per_keypoint() +
                     kNumCoordsPerBox,
                 num_coords_);
 
@@ -1111,15 +1146,21 @@ void main() {
     int max_wg_size;  //  typically <= 1024
     glGetIntegeri_v(GL_MAX_COMPUTE_WORK_GROUP_SIZE, 1,
                     &max_wg_size);  // y-dim
-    CHECK_LT(num_classes_, max_wg_size)
+    gpu_has_enough_work_groups_ = num_classes_ < max_wg_size;
-        << "# classes must be < " << max_wg_size;
+    if (!gpu_has_enough_work_groups_) {
+      return absl::FailedPreconditionError(absl::StrFormat(
+          "Hardware limitation: Processing will be done on CPU, because "
+          "num_classes %d exceeds the max work_group size %d.",
+          num_classes_, max_wg_size));
+    }
     // TODO support better filtering.
     if (class_index_set_.is_allowlist) {
-      CHECK_EQ(class_index_set_.values.size(),
+      ABSL_CHECK_EQ(class_index_set_.values.size(),
                     IsClassIndexAllowed(0) ? num_classes_ : num_classes_ - 1)
           << "Only all classes  >= class 0  or  >= class 1";
     } else {
-      CHECK_EQ(class_index_set_.values.size(), IsClassIndexAllowed(0) ? 0 : 1)
+      ABSL_CHECK_EQ(class_index_set_.values.size(),
+                    IsClassIndexAllowed(0) ? 0 : 1)
           << "Only ignore class 0 is allowed";
     }
 
@@ -1340,11 +1381,12 @@ kernel void scoreKernel(
 
   // TODO support better filtering.
   if (class_index_set_.is_allowlist) {
-    CHECK_EQ(class_index_set_.values.size(),
+    ABSL_CHECK_EQ(class_index_set_.values.size(),
                   IsClassIndexAllowed(0) ? num_classes_ : num_classes_ - 1)
         << "Only all classes  >= class 0  or  >= class 1";
   } else {
-    CHECK_EQ(class_index_set_.values.size(), IsClassIndexAllowed(0) ? 0 : 1)
+    ABSL_CHECK_EQ(class_index_set_.values.size(),
+                  IsClassIndexAllowed(0) ? 0 : 1)
         << "Only ignore class 0 is allowed";
   }
 
@@ -1370,7 +1412,13 @@ kernel void scoreKernel(
         Tensor::ElementType::kFloat32, Tensor::Shape{1, num_boxes_ * 2});
     // # filter classes supported is hardware dependent.
     int max_wg_size = score_program_.maxTotalThreadsPerThreadgroup;
-    CHECK_LT(num_classes_, max_wg_size) << "# classes must be <" << max_wg_size;
+    gpu_has_enough_work_groups_ = num_classes_ < max_wg_size;
+    if (!gpu_has_enough_work_groups_) {
+      return absl::FailedPreconditionError(absl::StrFormat(
+          "Hardware limitation: Processing will be done on CPU, because "
+          "num_classes %d exceeds the max work_group size %d.",
+          num_classes_, max_wg_size));
+    }
   }
 
 #endif  // !defined(MEDIAPIPE_DISABLE_GL_COMPUTE)

mediapipe/calculators/tensor/tensors_to_landmarks_calculator.cc

@@ -142,7 +142,7 @@ absl::Status TensorsToLandmarksCalculator::Process(CalculatorContext* cc) {
   RET_CHECK(input_tensors[0].element_type() == Tensor::ElementType::kFloat32);
   int num_values = input_tensors[0].shape().num_elements();
   const int num_dimensions = num_values / num_landmarks_;
-  CHECK_GT(num_dimensions, 0);
+  ABSL_CHECK_GT(num_dimensions, 0);
 
   auto view = input_tensors[0].GetCpuReadView();
   auto raw_landmarks = view.buffer<float>();

mediapipe/calculators/tensorflow/BUILD

@@ -13,6 +13,7 @@
 # limitations under the License.
 #
 
+# Placeholder: load py_proto_library
 load("//mediapipe/framework/port:build_config.bzl", "mediapipe_cc_proto_library", "mediapipe_proto_library")
 
 licenses(["notice"])
@@ -314,6 +315,7 @@ cc_library(
         "//mediapipe/framework/formats:time_series_header_cc_proto",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
     ] + select({
         "//conditions:default": [
             "@org_tensorflow//tensorflow/core:framework",
@@ -366,15 +368,14 @@ cc_library(
     name = "pack_media_sequence_calculator",
     srcs = ["pack_media_sequence_calculator.cc"],
     deps = [
+        ":pack_media_sequence_calculator_cc_proto",
         "//mediapipe/calculators/image:opencv_image_encoder_calculator_cc_proto",
-        "//mediapipe/calculators/tensorflow:pack_media_sequence_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/formats:detection_cc_proto",
         "//mediapipe/framework/formats:location",
         "//mediapipe/framework/formats:location_opencv",
         "//mediapipe/framework/port:opencv_imgcodecs",
         "//mediapipe/framework/port:ret_check",
-        "//mediapipe/framework/port:status",
         "//mediapipe/util/sequence:media_sequence",
         "//mediapipe/util/sequence:media_sequence_util",
         "@com_google_absl//absl/container:flat_hash_map",
@@ -406,8 +407,13 @@ cc_library(
     alwayslink = 1,
 )
 
-# This dependency removed tensorflow_jellyfish_deps and xprofilez_with_server because they failed
+# This dependency removed the following 3 targets because they failed Boq conformance test:
-# Boq conformance test. Weigh your use case to see if this will work for you.
+#
+# tensorflow_jellyfish_deps
+# jfprof_lib
+# xprofilez_with_server
+#
+# If you need them plz consider tensorflow_inference_calculator_no_envelope_loader.
 cc_library(
     name = "tensorflow_inference_calculator_for_boq",
     srcs = ["tensorflow_inference_calculator.cc"],
@@ -424,7 +430,7 @@ cc_library(
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:status_util",
         "@com_google_absl//absl/base:core_headers",
-        "@com_google_absl//absl/log:check",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings",
         "@com_google_absl//absl/synchronization",
@@ -483,10 +489,10 @@ cc_library(
         "//mediapipe/calculators/tensorflow:tensorflow_session_from_frozen_graph_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/deps:clock",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:status_util",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
     ] + select({
         "//conditions:default": [
@@ -514,10 +520,10 @@ cc_library(
         ":tensorflow_session_from_frozen_graph_generator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/deps:clock",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:status_util",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
     ] + select({
         "//conditions:default": [
@@ -550,6 +556,7 @@ cc_library(
         "//mediapipe/framework/deps:file_path",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
         "@org_tensorflow//tensorflow/cc/saved_model:constants",
         "@org_tensorflow//tensorflow/cc/saved_model:loader_lite",
@@ -627,6 +634,7 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
         "//mediapipe/framework/tool:status_util",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/strings",
         "@org_tensorflow//tensorflow/cc/saved_model:constants",
@@ -648,6 +656,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:framework",
     ],
     alwayslink = 1,
@@ -662,6 +671,7 @@ cc_library(
         "//mediapipe/framework/formats:image_frame",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
         "@org_tensorflow//tensorflow/core:framework",
     ],
     alwayslink = 1,
@@ -677,6 +687,7 @@ cc_library(
         "//mediapipe/framework/formats:time_series_header_cc_proto",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
     ] + select({
         "//conditions:default": [
             "@org_tensorflow//tensorflow/core:framework",
@@ -773,6 +784,7 @@ cc_library(
         "//mediapipe/framework/port:status",
         "//mediapipe/util:audio_decoder_cc_proto",
         "//mediapipe/util/sequence:media_sequence",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
     ],
@@ -787,6 +799,8 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:framework",
     ],
     alwayslink = 1,
@@ -800,6 +814,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:framework",
     ],
     alwayslink = 1,
@@ -813,6 +828,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:framework",
     ],
     alwayslink = 1,
@@ -826,6 +842,8 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:packet",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
     ],
     alwayslink = 1,
@@ -920,22 +938,22 @@ cc_test(
     srcs = ["pack_media_sequence_calculator_test.cc"],
     deps = [
         ":pack_media_sequence_calculator",
+        ":pack_media_sequence_calculator_cc_proto",
         "//mediapipe/calculators/image:opencv_image_encoder_calculator_cc_proto",
-        "//mediapipe/calculators/tensorflow:pack_media_sequence_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:calculator_runner",
+        "//mediapipe/framework:packet",
         "//mediapipe/framework:timestamp",
         "//mediapipe/framework/formats:detection_cc_proto",
-        "//mediapipe/framework/formats:image_frame",
-        "//mediapipe/framework/formats:image_frame_opencv",
         "//mediapipe/framework/formats:location",
         "//mediapipe/framework/formats:location_opencv",
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:opencv_imgcodecs",
         "//mediapipe/util/sequence:media_sequence",
-        "@com_google_absl//absl/container:flat_hash_map",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings",
+        "@com_google_googletest//:gtest_main",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
     ],
 )
@@ -1077,6 +1095,7 @@ cc_test(
     linkstatic = 1,
     deps = [
         ":tensor_to_image_frame_calculator",
+        ":tensor_to_image_frame_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:calculator_runner",
         "//mediapipe/framework/formats:image_frame",
@@ -1162,6 +1181,7 @@ cc_test(
         "//mediapipe/framework/port:rectangle",
         "//mediapipe/util:audio_decoder_cc_proto",
         "//mediapipe/util/sequence:media_sequence",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings",
         "@org_tensorflow//tensorflow/core:protos_all_cc",
@@ -1243,6 +1263,8 @@ cc_test(
         "//mediapipe/framework/tool:sink",
         "//mediapipe/framework/tool:validate_type",
         "@com_google_absl//absl/flags:flag",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
     ] + select({
         "//conditions:default": [
             "@org_tensorflow//tensorflow/core:direct_session",

mediapipe/calculators/tensorflow/matrix_to_tensor_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tensorflow/matrix_to_tensor_calculator_options.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/matrix.h"
@@ -28,7 +29,7 @@ namespace mediapipe {
 namespace {
 absl::Status FillTimeSeriesHeaderIfValid(const Packet& header_packet,
                                          TimeSeriesHeader* header) {
-  CHECK(header);
+  ABSL_CHECK(header);
   if (header_packet.IsEmpty()) {
     return absl::UnknownError("No header found.");
   }

mediapipe/calculators/tensorflow/pack_media_sequence_calculator.cc

@@ -12,21 +12,22 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <cstdint>
+#include <optional>
 #include <string>
 #include <vector>
 
 #include "absl/container/flat_hash_map.h"
 #include "absl/strings/match.h"
+#include "absl/strings/strip.h"
 #include "mediapipe/calculators/image/opencv_image_encoder_calculator.pb.h"
 #include "mediapipe/calculators/tensorflow/pack_media_sequence_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/detection.pb.h"
 #include "mediapipe/framework/formats/location.h"
 #include "mediapipe/framework/formats/location_opencv.h"
-#include "mediapipe/framework/port/canonical_errors.h"
 #include "mediapipe/framework/port/opencv_imgcodecs_inc.h"
 #include "mediapipe/framework/port/ret_check.h"
-#include "mediapipe/framework/port/status.h"
 #include "mediapipe/util/sequence/media_sequence.h"
 #include "mediapipe/util/sequence/media_sequence_util.h"
 #include "tensorflow/core/example/example.pb.h"
@@ -36,6 +37,7 @@ namespace mediapipe {
 
 const char kSequenceExampleTag[] = "SEQUENCE_EXAMPLE";
 const char kImageTag[] = "IMAGE";
+const char kImageLabelPrefixTag[] = "IMAGE_LABEL_";
 const char kFloatContextFeaturePrefixTag[] = "FLOAT_CONTEXT_FEATURE_";
 const char kFloatFeaturePrefixTag[] = "FLOAT_FEATURE_";
 const char kIntFeaturePrefixTag[] = "INT_FEATURE_";
@@ -44,6 +46,7 @@ const char kForwardFlowEncodedTag[] = "FORWARD_FLOW_ENCODED";
 const char kBBoxTag[] = "BBOX";
 const char kKeypointsTag[] = "KEYPOINTS";
 const char kSegmentationMaskTag[] = "CLASS_SEGMENTATION";
+const char kClipMediaIdTag[] = "CLIP_MEDIA_ID";
 
 namespace tf = ::tensorflow;
 namespace mpms = mediapipe::mediasequence;
@@ -55,16 +58,21 @@ namespace mpms = mediapipe::mediasequence;
 // context features can be supplied verbatim in the calculator's options. The
 // SequenceExample will conform to the description in media_sequence.h.
 //
-// The supported input stream tags are "IMAGE", which stores the encoded
+// The supported input stream tags are:
-// images from the OpenCVImageEncoderCalculator, "FORWARD_FLOW_ENCODED", which
+// * "IMAGE", which stores the encoded images from the
-// stores the encoded optical flow from the same calculator, "BBOX" which stores
+//   OpenCVImageEncoderCalculator,
-// bounding boxes from vector<Detections>, and streams with the
+// * "IMAGE_LABEL", which stores whole image labels from Detection,
-// "FLOAT_FEATURE_${NAME}" pattern, which stores the values from vector<float>'s
+// * "FORWARD_FLOW_ENCODED", which stores the encoded optical flow from the same
-// associated with the name ${NAME}. "KEYPOINTS" stores a map of 2D keypoints
+//   calculator,
-// from flat_hash_map<string, vector<pair<float, float>>>. "IMAGE_${NAME}",
+// * "BBOX" which stores bounding boxes from vector<Detections>,
-// "BBOX_${NAME}", and "KEYPOINTS_${NAME}" will also store prefixed versions of
+// * streams with the "FLOAT_FEATURE_${NAME}" pattern, which stores the values
-// each stream, which allows for multiple image streams to be included. However,
+//   from vector<float>'s associated with the name ${NAME},
-// the default names are suppored by more tools.
+// * "KEYPOINTS" stores a map of 2D keypoints from flat_hash_map<string,
+//   vector<pair<float, float>>>,
+// * "CLIP_MEDIA_ID", which stores the clip's media ID as a string.
+// "IMAGE_${NAME}", "BBOX_${NAME}", and "KEYPOINTS_${NAME}" will also store
+// prefixed versions of each stream, which allows for multiple image streams to
+// be included. However, the default names are suppored by more tools.
 //
 // Example config:
 // node {
@@ -100,6 +108,9 @@ class PackMediaSequenceCalculator : public CalculatorBase {
   static absl::Status GetContract(CalculatorContract* cc) {
     RET_CHECK(cc->InputSidePackets().HasTag(kSequenceExampleTag));
     cc->InputSidePackets().Tag(kSequenceExampleTag).Set<tf::SequenceExample>();
+    if (cc->InputSidePackets().HasTag(kClipMediaIdTag)) {
+      cc->InputSidePackets().Tag(kClipMediaIdTag).Set<std::string>();
+    }
 
     if (cc->Inputs().HasTag(kForwardFlowEncodedTag)) {
       cc->Inputs()
@@ -112,6 +123,10 @@ class PackMediaSequenceCalculator : public CalculatorBase {
 
     for (const auto& tag : cc->Inputs().GetTags()) {
       if (absl::StartsWith(tag, kImageTag)) {
+        if (absl::StartsWith(tag, kImageLabelPrefixTag)) {
+          cc->Inputs().Tag(tag).Set<Detection>();
+          continue;
+        }
         std::string key = "";
         if (tag != kImageTag) {
           int tag_length = sizeof(kImageTag) / sizeof(*kImageTag) - 1;
@@ -164,7 +179,7 @@ class PackMediaSequenceCalculator : public CalculatorBase {
       }
     }
 
-    CHECK(cc->Outputs().HasTag(kSequenceExampleTag) ||
+    RET_CHECK(cc->Outputs().HasTag(kSequenceExampleTag) ||
               cc->OutputSidePackets().HasTag(kSequenceExampleTag))
         << "Neither the output stream nor the output side packet is set to "
            "output the sequence example.";
@@ -184,6 +199,11 @@ class PackMediaSequenceCalculator : public CalculatorBase {
         cc->InputSidePackets()
             .Tag(kSequenceExampleTag)
             .Get<tf::SequenceExample>());
+    if (cc->InputSidePackets().HasTag(kClipMediaIdTag) &&
+        !cc->InputSidePackets().Tag(kClipMediaIdTag).IsEmpty()) {
+      clip_media_id_ =
+          cc->InputSidePackets().Tag(kClipMediaIdTag).Get<std::string>();
+    }
 
     const auto& context_features =
         cc->Options<PackMediaSequenceCalculatorOptions>().context_feature_map();
@@ -199,6 +219,16 @@ class PackMediaSequenceCalculator : public CalculatorBase {
             .replace_data_instead_of_append()) {
       for (const auto& tag : cc->Inputs().GetTags()) {
         if (absl::StartsWith(tag, kImageTag)) {
+          if (absl::StartsWith(tag, kImageLabelPrefixTag)) {
+            std::string key =
+                std::string(absl::StripPrefix(tag, kImageLabelPrefixTag));
+            mpms::ClearImageLabelString(key, sequence_.get());
+            mpms::ClearImageLabelConfidence(key, sequence_.get());
+            if (!key.empty() || mpms::HasImageEncoded(*sequence_)) {
+              mpms::ClearImageTimestamp(key, sequence_.get());
+            }
+            continue;
+          }
           std::string key = "";
           if (tag != kImageTag) {
             int tag_length = sizeof(kImageTag) / sizeof(*kImageTag) - 1;
@@ -227,6 +257,7 @@ class PackMediaSequenceCalculator : public CalculatorBase {
           mpms::ClearBBoxNumRegions(key, sequence_.get());
           mpms::ClearBBoxLabelString(key, sequence_.get());
           mpms::ClearBBoxLabelIndex(key, sequence_.get());
+          mpms::ClearBBoxLabelConfidence(key, sequence_.get());
           mpms::ClearBBoxClassString(key, sequence_.get());
           mpms::ClearBBoxClassIndex(key, sequence_.get());
           mpms::ClearBBoxTrackString(key, sequence_.get());
@@ -343,6 +374,34 @@ class PackMediaSequenceCalculator : public CalculatorBase {
       if (absl::StartsWith(tag, kImageTag) &&
           !cc->Inputs().Tag(tag).IsEmpty()) {
         std::string key = "";
+        if (absl::StartsWith(tag, kImageLabelPrefixTag)) {
+          std::string key =
+              std::string(absl::StripPrefix(tag, kImageLabelPrefixTag));
+          const auto& detection = cc->Inputs().Tag(tag).Get<Detection>();
+          if (detection.label().empty()) continue;
+          RET_CHECK(detection.label_size() == detection.score_size())
+              << "Wrong image label data format: " << detection.label_size()
+              << " vs " << detection.score_size();
+          if (!detection.label_id().empty()) {
+            RET_CHECK(detection.label_id_size() == detection.label_size())
+                << "Wrong image label ID format: " << detection.label_id_size()
+                << " vs " << detection.label_size();
+          }
+          std::vector<std::string> labels(detection.label().begin(),
+                                          detection.label().end());
+          std::vector<float> confidences(detection.score().begin(),
+                                         detection.score().end());
+          std::vector<int32_t> ids(detection.label_id().begin(),
+                                   detection.label_id().end());
+          if (!key.empty() || mpms::HasImageEncoded(*sequence_)) {
+            mpms::AddImageTimestamp(key, cc->InputTimestamp().Value(),
+                                    sequence_.get());
+          }
+          mpms::AddImageLabelString(key, labels, sequence_.get());
+          mpms::AddImageLabelConfidence(key, confidences, sequence_.get());
+          if (!ids.empty()) mpms::AddImageLabelIndex(key, ids, sequence_.get());
+          continue;
+        }
         if (tag != kImageTag) {
           int tag_length = sizeof(kImageTag) / sizeof(*kImageTag) - 1;
           if (tag[tag_length] == '_') {
@@ -393,6 +452,7 @@ class PackMediaSequenceCalculator : public CalculatorBase {
             mpms::ClearBBoxNumRegions(prefix, sequence_.get());
             mpms::ClearBBoxLabelString(prefix, sequence_.get());
             mpms::ClearBBoxLabelIndex(prefix, sequence_.get());
+            mpms::ClearBBoxLabelConfidence(prefix, sequence_.get());
             mpms::ClearBBoxClassString(prefix, sequence_.get());
             mpms::ClearBBoxClassIndex(prefix, sequence_.get());
             mpms::ClearBBoxTrackString(prefix, sequence_.get());
@@ -460,6 +520,7 @@ class PackMediaSequenceCalculator : public CalculatorBase {
         }
         std::vector<Location> predicted_locations;
         std::vector<std::string> predicted_class_strings;
+        std::vector<float> predicted_class_confidences;
         std::vector<int> predicted_label_ids;
         for (auto& detection :
              cc->Inputs().Tag(tag).Get<std::vector<Detection>>()) {
@@ -488,6 +549,9 @@ class PackMediaSequenceCalculator : public CalculatorBase {
             if (detection.label_id_size() > 0) {
               predicted_label_ids.push_back(detection.label_id(0));
             }
+            if (detection.score_size() > 0) {
+              predicted_class_confidences.push_back(detection.score(0));
+            }
           }
         }
         if (!predicted_locations.empty()) {
@@ -501,6 +565,10 @@ class PackMediaSequenceCalculator : public CalculatorBase {
           if (!predicted_label_ids.empty()) {
             mpms::AddBBoxLabelIndex(key, predicted_label_ids, sequence_.get());
           }
+          if (!predicted_class_confidences.empty()) {
+            mpms::AddBBoxLabelConfidence(key, predicted_class_confidences,
+                                         sequence_.get());
+          }
         }
       }
     }
@@ -548,10 +616,14 @@ class PackMediaSequenceCalculator : public CalculatorBase {
         }
       }
     }
+    if (clip_media_id_.has_value()) {
+      mpms::SetClipMediaId(*clip_media_id_, sequence_.get());
+    }
     return absl::OkStatus();
   }
 
   std::unique_ptr<tf::SequenceExample> sequence_;
+  std::optional<std::string> clip_media_id_ = std::nullopt;
   std::map<std::string, bool> features_present_;
   bool replace_keypoints_;
 };

mediapipe/calculators/tensorflow/pack_media_sequence_calculator_test.cc

@@ -12,28 +12,29 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <algorithm>
+#include <cstdint>
+#include <string>
+#include <vector>
 
-#include "absl/container/flat_hash_map.h"
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
-#include "absl/strings/numbers.h"
+#include "absl/strings/str_cat.h"
 #include "mediapipe/calculators/image/opencv_image_encoder_calculator.pb.h"
 #include "mediapipe/calculators/tensorflow/pack_media_sequence_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
 #include "mediapipe/framework/formats/detection.pb.h"
-#include "mediapipe/framework/formats/image_frame.h"
-#include "mediapipe/framework/formats/image_frame_opencv.h"
 #include "mediapipe/framework/formats/location.h"
 #include "mediapipe/framework/formats/location_opencv.h"
-#include "mediapipe/framework/port/gmock.h"
+#include "mediapipe/framework/packet.h"
-#include "mediapipe/framework/port/gtest.h"
 #include "mediapipe/framework/port/opencv_imgcodecs_inc.h"
 #include "mediapipe/framework/port/status_matchers.h"
 #include "mediapipe/framework/timestamp.h"
 #include "mediapipe/util/sequence/media_sequence.h"
 #include "tensorflow/core/example/example.pb.h"
 #include "tensorflow/core/example/feature.pb.h"
+#include "testing/base/public/gmock.h"
+#include "testing/base/public/gunit.h"
 
 namespace mediapipe {
 namespace {
@@ -59,9 +60,12 @@ constexpr char kFloatFeatureOtherTag[] = "FLOAT_FEATURE_OTHER";
 constexpr char kFloatFeatureTestTag[] = "FLOAT_FEATURE_TEST";
 constexpr char kIntFeatureOtherTag[] = "INT_FEATURE_OTHER";
 constexpr char kIntFeatureTestTag[] = "INT_FEATURE_TEST";
+constexpr char kImageLabelTestTag[] = "IMAGE_LABEL_TEST";
+constexpr char kImageLabelOtherTag[] = "IMAGE_LABEL_OTHER";
 constexpr char kImagePrefixTag[] = "IMAGE_PREFIX";
 constexpr char kSequenceExampleTag[] = "SEQUENCE_EXAMPLE";
 constexpr char kImageTag[] = "IMAGE";
+constexpr char kClipMediaIdTag[] = "CLIP_MEDIA_ID";
 
 class PackMediaSequenceCalculatorTest : public ::testing::Test {
  protected:
@@ -69,10 +73,14 @@ class PackMediaSequenceCalculatorTest : public ::testing::Test {
                        const tf::Features& features,
                        const bool output_only_if_all_present,
                        const bool replace_instead_of_append,
-                       const bool output_as_zero_timestamp = false) {
+                       const bool output_as_zero_timestamp = false,
+                       const std::vector<std::string>& input_side_packets = {
+                           "SEQUENCE_EXAMPLE:input_sequence"}) {
     CalculatorGraphConfig::Node config;
     config.set_calculator("PackMediaSequenceCalculator");
-    config.add_input_side_packet("SEQUENCE_EXAMPLE:input_sequence");
+    for (const std::string& side_packet : input_side_packets) {
+      config.add_input_side_packet(side_packet);
+    }
     config.add_output_stream("SEQUENCE_EXAMPLE:output_sequence");
     for (const std::string& stream : input_streams) {
       config.add_input_stream(stream);
@@ -96,7 +104,8 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoImages) {
   mpms::SetClipMediaId(test_video_id, input_sequence.get());
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   encoded_image.set_width(2);
@@ -139,7 +148,8 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoPrefixedImages) {
   mpms::SetClipMediaId(test_video_id, input_sequence.get());
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   encoded_image.set_width(2);
@@ -312,6 +322,76 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoBytesLists) {
   }
 }
 
+TEST_F(PackMediaSequenceCalculatorTest, PacksTwoImageLabels) {
+  SetUpCalculator(
+      {"IMAGE_LABEL_TEST:test_labels", "IMAGE_LABEL_OTHER:test_labels2"}, {},
+      false, true);
+  auto input_sequence = ::absl::make_unique<tf::SequenceExample>();
+
+  int num_timesteps = 2;
+  for (int i = 0; i < num_timesteps; ++i) {
+    Detection detection1;
+    detection1.add_label(absl::StrCat("foo", 2 << i));
+    detection1.add_label_id(i);
+    detection1.add_score(0.1 * i);
+    detection1.add_label(absl::StrCat("foo", 2 << i));
+    detection1.add_label_id(i);
+    detection1.add_score(0.1 * i);
+    auto label_ptr1 = ::absl::make_unique<Detection>(detection1);
+    runner_->MutableInputs()
+        ->Tag(kImageLabelTestTag)
+        .packets.push_back(Adopt(label_ptr1.release()).At(Timestamp(i)));
+    Detection detection2;
+    detection2.add_label(absl::StrCat("bar", 2 << i));
+    detection2.add_score(0.2 * i);
+    detection2.add_label(absl::StrCat("bar", 2 << i));
+    detection2.add_score(0.2 * i);
+    auto label_ptr2 = ::absl::make_unique<Detection>(detection2);
+    runner_->MutableInputs()
+        ->Tag(kImageLabelOtherTag)
+        .packets.push_back(Adopt(label_ptr2.release()).At(Timestamp(i)));
+  }
+  runner_->MutableSidePackets()->Tag(kSequenceExampleTag) =
+      Adopt(input_sequence.release());
+
+  MP_ASSERT_OK(runner_->Run());
+
+  const std::vector<Packet>& output_packets =
+      runner_->Outputs().Tag(kSequenceExampleTag).packets;
+  ASSERT_EQ(1, output_packets.size());
+  const tf::SequenceExample& output_sequence =
+      output_packets[0].Get<tf::SequenceExample>();
+
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageTimestampSize("TEST", output_sequence));
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageLabelStringSize("TEST", output_sequence));
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageLabelConfidenceSize("TEST", output_sequence));
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageTimestampSize("OTHER", output_sequence));
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageLabelStringSize("OTHER", output_sequence));
+  ASSERT_EQ(num_timesteps,
+            mpms::GetImageLabelConfidenceSize("OTHER", output_sequence));
+  for (int i = 0; i < num_timesteps; ++i) {
+    ASSERT_EQ(i, mpms::GetImageTimestampAt("TEST", output_sequence, i));
+    ASSERT_THAT(mpms::GetImageLabelStringAt("TEST", output_sequence, i),
+                ::testing::ElementsAreArray(
+                    std::vector<std::string>(2, absl::StrCat("foo", 2 << i))));
+    ASSERT_THAT(mpms::GetImageLabelIndexAt("TEST", output_sequence, i),
+                ::testing::ElementsAreArray(std::vector<int32_t>(2, i)));
+    ASSERT_THAT(mpms::GetImageLabelConfidenceAt("TEST", output_sequence, i),
+                ::testing::ElementsAreArray(std::vector<float>(2, 0.1 * i)));
+    ASSERT_EQ(i, mpms::GetImageTimestampAt("OTHER", output_sequence, i));
+    ASSERT_THAT(mpms::GetImageLabelStringAt("OTHER", output_sequence, i),
+                ::testing::ElementsAreArray(
+                    std::vector<std::string>(2, absl::StrCat("bar", 2 << i))));
+    ASSERT_THAT(mpms::GetImageLabelConfidenceAt("OTHER", output_sequence, i),
+                ::testing::ElementsAreArray(std::vector<float>(2, 0.2 * i)));
+  }
+}
+
 TEST_F(PackMediaSequenceCalculatorTest, OutputAsZeroTimestamp) {
   SetUpCalculator({"FLOAT_FEATURE_TEST:test"}, {}, false, true, true);
   auto input_sequence = ::absl::make_unique<tf::SequenceExample>();
@@ -378,7 +458,8 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksAdditionalContext) {
       Adopt(input_sequence.release());
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   auto image_ptr =
@@ -410,7 +491,8 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoForwardFlowEncodeds) {
 
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   std::string test_flow_string(bytes.begin(), bytes.end());
   OpenCvImageEncoderCalculatorResults encoded_flow;
   encoded_flow.set_encoded_image(test_flow_string);
@@ -526,6 +608,10 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoBBoxDetections) {
     auto class_indices = mpms::GetPredictedBBoxLabelIndexAt(output_sequence, i);
     ASSERT_EQ(0, class_indices[0]);
     ASSERT_EQ(1, class_indices[1]);
+    auto class_scores =
+        mpms::GetPredictedBBoxLabelConfidenceAt(output_sequence, i);
+    ASSERT_FLOAT_EQ(0.5, class_scores[0]);
+    ASSERT_FLOAT_EQ(0.75, class_scores[1]);
   }
 }
 
@@ -618,7 +704,8 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksBBoxWithImages) {
   }
   cv::Mat image(height, width, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   encoded_image.set_width(width);
@@ -667,6 +754,10 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksBBoxWithImages) {
     auto class_indices = mpms::GetPredictedBBoxLabelIndexAt(output_sequence, i);
     ASSERT_EQ(0, class_indices[0]);
     ASSERT_EQ(1, class_indices[1]);
+    auto class_scores =
+        mpms::GetPredictedBBoxLabelConfidenceAt(output_sequence, i);
+    ASSERT_FLOAT_EQ(0.5, class_scores[0]);
+    ASSERT_FLOAT_EQ(0.75, class_scores[1]);
   }
 }
 
@@ -757,6 +848,88 @@ TEST_F(PackMediaSequenceCalculatorTest, PacksTwoMaskDetections) {
               testing::ElementsAreArray(::std::vector<std::string>({"mask"})));
 }
 
+TEST_F(PackMediaSequenceCalculatorTest, AddClipMediaId) {
+  SetUpCalculator(
+      /*input_streams=*/{"FLOAT_FEATURE_TEST:test",
+                         "FLOAT_FEATURE_OTHER:test2"},
+      /*features=*/{},
+      /*output_only_if_all_present=*/false,
+      /*replace_instead_of_append=*/true,
+      /*output_as_zero_timestamp=*/false, /*input_side_packets=*/
+      {"SEQUENCE_EXAMPLE:input_sequence", "CLIP_MEDIA_ID:video_id"});
+  auto input_sequence = absl::make_unique<tf::SequenceExample>();
+  const std::string test_video_id = "test_video_id";
+
+  int num_timesteps = 2;
+  for (int i = 0; i < num_timesteps; ++i) {
+    auto vf_ptr = ::absl::make_unique<std::vector<float>>(2, 2 << i);
+    runner_->MutableInputs()
+        ->Tag(kFloatFeatureTestTag)
+        .packets.push_back(Adopt(vf_ptr.release()).At(Timestamp(i)));
+    vf_ptr = ::absl::make_unique<std::vector<float>>(2, 2 << i);
+    runner_->MutableInputs()
+        ->Tag(kFloatFeatureOtherTag)
+        .packets.push_back(Adopt(vf_ptr.release()).At(Timestamp(i)));
+  }
+
+  runner_->MutableSidePackets()->Tag(kClipMediaIdTag) =
+      MakePacket<std::string>(test_video_id);
+  runner_->MutableSidePackets()->Tag(kSequenceExampleTag) =
+      Adopt(input_sequence.release());
+
+  MP_ASSERT_OK(runner_->Run());
+
+  const std::vector<Packet>& output_packets =
+      runner_->Outputs().Tag(kSequenceExampleTag).packets;
+  ASSERT_EQ(1, output_packets.size());
+  const tf::SequenceExample& output_sequence =
+      output_packets[0].Get<tf::SequenceExample>();
+
+  ASSERT_EQ(test_video_id, mpms::GetClipMediaId(output_sequence));
+}
+
+TEST_F(PackMediaSequenceCalculatorTest, ReplaceClipMediaId) {
+  SetUpCalculator(
+      /*input_streams=*/{"FLOAT_FEATURE_TEST:test",
+                         "FLOAT_FEATURE_OTHER:test2"},
+      /*features=*/{},
+      /*output_only_if_all_present=*/false,
+      /*replace_instead_of_append=*/true,
+      /*output_as_zero_timestamp=*/false, /*input_side_packets=*/
+      {"SEQUENCE_EXAMPLE:input_sequence", "CLIP_MEDIA_ID:video_id"});
+  auto input_sequence = absl::make_unique<tf::SequenceExample>();
+  const std::string existing_video_id = "existing_video_id";
+  mpms::SetClipMediaId(existing_video_id, input_sequence.get());
+  const std::string test_video_id = "test_video_id";
+
+  int num_timesteps = 2;
+  for (int i = 0; i < num_timesteps; ++i) {
+    auto vf_ptr = ::absl::make_unique<std::vector<float>>(2, 2 << i);
+    runner_->MutableInputs()
+        ->Tag(kFloatFeatureTestTag)
+        .packets.push_back(Adopt(vf_ptr.release()).At(Timestamp(i)));
+    vf_ptr = ::absl::make_unique<std::vector<float>>(2, 2 << i);
+    runner_->MutableInputs()
+        ->Tag(kFloatFeatureOtherTag)
+        .packets.push_back(Adopt(vf_ptr.release()).At(Timestamp(i)));
+  }
+
+  runner_->MutableSidePackets()->Tag(kClipMediaIdTag) =
+      MakePacket<std::string>(test_video_id).At(Timestamp(0));
+  runner_->MutableSidePackets()->Tag(kSequenceExampleTag) =
+      Adopt(input_sequence.release());
+
+  MP_ASSERT_OK(runner_->Run());
+
+  const std::vector<Packet>& output_packets =
+      runner_->Outputs().Tag(kSequenceExampleTag).packets;
+  ASSERT_EQ(1, output_packets.size());
+  const tf::SequenceExample& output_sequence =
+      output_packets[0].Get<tf::SequenceExample>();
+
+  ASSERT_EQ(test_video_id, mpms::GetClipMediaId(output_sequence));
+}
+
 TEST_F(PackMediaSequenceCalculatorTest, MissingStreamOK) {
   SetUpCalculator(
       {"FORWARD_FLOW_ENCODED:flow", "FLOAT_FEATURE_I3D_FLOW:feature"}, {},
@@ -767,7 +940,8 @@ TEST_F(PackMediaSequenceCalculatorTest, MissingStreamOK) {
 
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   std::string test_flow_string(bytes.begin(), bytes.end());
   OpenCvImageEncoderCalculatorResults encoded_flow;
   encoded_flow.set_encoded_image(test_flow_string);
@@ -813,7 +987,8 @@ TEST_F(PackMediaSequenceCalculatorTest, MissingStreamNotOK) {
   mpms::SetClipMediaId(test_video_id, input_sequence.get());
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   std::string test_flow_string(bytes.begin(), bytes.end());
   OpenCvImageEncoderCalculatorResults encoded_flow;
   encoded_flow.set_encoded_image(test_flow_string);
@@ -970,7 +1145,8 @@ TEST_F(PackMediaSequenceCalculatorTest, TestReconcilingAnnotations) {
   auto input_sequence = ::absl::make_unique<tf::SequenceExample>();
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   encoded_image.set_width(2);
@@ -1021,7 +1197,8 @@ TEST_F(PackMediaSequenceCalculatorTest, TestOverwritingAndReconciling) {
   auto input_sequence = ::absl::make_unique<tf::SequenceExample>();
   cv::Mat image(2, 3, CV_8UC3, cv::Scalar(0, 0, 255));
   std::vector<uchar> bytes;
-  ASSERT_TRUE(cv::imencode(".jpg", image, bytes, {80}));
+  ASSERT_TRUE(
+      cv::imencode(".jpg", image, bytes, {cv::IMWRITE_HDR_COMPRESSION, 1}));
   OpenCvImageEncoderCalculatorResults encoded_image;
   encoded_image.set_encoded_image(bytes.data(), bytes.size());
   int height = 2;
@@ -1057,6 +1234,7 @@ TEST_F(PackMediaSequenceCalculatorTest, TestOverwritingAndReconciling) {
     mpms::AddBBoxNumRegions(-1, input_sequence.get());
     mpms::AddBBoxLabelString({"anything"}, input_sequence.get());
     mpms::AddBBoxLabelIndex({-1}, input_sequence.get());
+    mpms::AddBBoxLabelConfidence({-1}, input_sequence.get());
     mpms::AddBBoxClassString({"anything"}, input_sequence.get());
     mpms::AddBBoxClassIndex({-1}, input_sequence.get());
     mpms::AddBBoxTrackString({"anything"}, input_sequence.get());

mediapipe/calculators/tensorflow/tensor_squeeze_dimensions_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/tensor_squeeze_dimensions_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -99,9 +100,10 @@ class TensorSqueezeDimensionsCalculator : public CalculatorBase {
       }
     }
     if (remove_dims_.empty()) {
-      LOG(ERROR) << "TensorSqueezeDimensionsCalculator is squeezing input with "
+      ABSL_LOG(ERROR)
+          << "TensorSqueezeDimensionsCalculator is squeezing input with "
              "no single-dimensions. Calculator will be a no-op.";
-      LOG(ERROR) << "Input to TensorSqueezeDimensionsCalculator has shape "
+      ABSL_LOG(ERROR) << "Input to TensorSqueezeDimensionsCalculator has shape "
                       << tensor_shape.DebugString();
     }
   }

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.cc

@@ -14,6 +14,7 @@
 
 #include <iostream>
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame.h"
@@ -65,6 +66,7 @@ class TensorToImageFrameCalculator : public CalculatorBase {
 
  private:
   float scale_factor_;
+  bool scale_per_frame_min_max_;
 };
 
 REGISTER_CALCULATOR(TensorToImageFrameCalculator);
@@ -88,6 +90,8 @@ absl::Status TensorToImageFrameCalculator::GetContract(CalculatorContract* cc) {
 absl::Status TensorToImageFrameCalculator::Open(CalculatorContext* cc) {
   scale_factor_ =
       cc->Options<TensorToImageFrameCalculatorOptions>().scale_factor();
+  scale_per_frame_min_max_ = cc->Options<TensorToImageFrameCalculatorOptions>()
+                                 .scale_per_frame_min_max();
   cc->SetOffset(TimestampDiff(0));
   return absl::OkStatus();
 }
@@ -96,7 +100,7 @@ absl::Status TensorToImageFrameCalculator::Process(CalculatorContext* cc) {
   const tf::Tensor& input_tensor = cc->Inputs().Tag(kTensor).Get<tf::Tensor>();
   int32_t depth = 1;
   if (input_tensor.dims() != 2) {  // Depth is 1 for 2D tensors.
-    CHECK(3 == input_tensor.dims())
+    ABSL_CHECK(3 == input_tensor.dims())
         << "Only 2 or 3-D Tensors can be converted to frames. Instead got: "
         << input_tensor.dims();
     depth = input_tensor.dim_size(2);
@@ -109,16 +113,38 @@ absl::Status TensorToImageFrameCalculator::Process(CalculatorContext* cc) {
   auto format = (depth == 3 ? ImageFormat::SRGB : ImageFormat::GRAY8);
   const int32_t total_size = height * width * depth;
 
+  if (scale_per_frame_min_max_) {
+    RET_CHECK_EQ(input_tensor.dtype(), tensorflow::DT_FLOAT)
+        << "Setting scale_per_frame_min_max requires FLOAT input tensors.";
+  }
   ::std::unique_ptr<const ImageFrame> output;
   if (input_tensor.dtype() == tensorflow::DT_FLOAT) {
     // Allocate buffer with alignments.
     std::unique_ptr<uint8_t[]> buffer(
         new (std::align_val_t(EIGEN_MAX_ALIGN_BYTES)) uint8_t[total_size]);
     auto data = input_tensor.flat<float>().data();
+    float min = 1e23;
+    float max = -1e23;
+    if (scale_per_frame_min_max_) {
       for (int i = 0; i < total_size; ++i) {
         float d = scale_factor_ * data[i];
+        if (d < min) {
+          min = d;
+        }
+        if (d > max) {
+          max = d;
+        }
+      }
+    }
+    for (int i = 0; i < total_size; ++i) {
+      float d = data[i];
+      if (scale_per_frame_min_max_) {
+        d = 255 * (d - min) / (max - min + 1e-9);
+      } else {
+        d = scale_factor_ * d;
         if (d < 0) d = 0;
         if (d > 255) d = 255;
+      }
       buffer[i] = d;
     }
     output = ::absl::make_unique<ImageFrame>(

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.proto

@@ -26,4 +26,8 @@ message TensorToImageFrameCalculatorOptions {
   // Multiples floating point tensor outputs by this value before converting to
   // uint8. This is useful for converting from range [0, 1] to [0, 255]
   optional float scale_factor = 1 [default = 1.0];
+
+  // If true, scales any FLOAT tensor input of [min, max] to be between [0, 255]
+  // per frame. This overrides any explicit scale_factor.
+  optional bool scale_per_frame_min_max = 2 [default = false];
 }

mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator_test.cc

@@ -11,7 +11,9 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
+#include <type_traits>
 
+#include "mediapipe/calculators/tensorflow/tensor_to_image_frame_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_runner.h"
 #include "mediapipe/framework/formats/image_frame.h"
@@ -32,11 +34,14 @@ constexpr char kImage[] = "IMAGE";
 template <class TypeParam>
 class TensorToImageFrameCalculatorTest : public ::testing::Test {
  protected:
-  void SetUpRunner() {
+  void SetUpRunner(bool scale_per_frame_min_max = false) {
     CalculatorGraphConfig::Node config;
     config.set_calculator("TensorToImageFrameCalculator");
     config.add_input_stream("TENSOR:input_tensor");
     config.add_output_stream("IMAGE:output_image");
+    config.mutable_options()
+        ->MutableExtension(mediapipe::TensorToImageFrameCalculatorOptions::ext)
+        ->set_scale_per_frame_min_max(scale_per_frame_min_max);
     runner_ = absl::make_unique<CalculatorRunner>(config);
   }
 
@@ -157,4 +162,47 @@ TYPED_TEST(TensorToImageFrameCalculatorTest,
   }
 }
 
+TYPED_TEST(TensorToImageFrameCalculatorTest,
+           Converts3DTensorToImageFrame2DGrayWithScaling) {
+  this->SetUpRunner(true);
+  auto& runner = this->runner_;
+  constexpr int kWidth = 16;
+  constexpr int kHeight = 8;
+  const tf::TensorShape tensor_shape{kHeight, kWidth};
+  auto tensor = absl::make_unique<tf::Tensor>(
+      tf::DataTypeToEnum<TypeParam>::v(), tensor_shape);
+  auto tensor_vec = tensor->template flat<TypeParam>().data();
+
+  // Writing sequence of integers as floats which we want normalized.
+  tensor_vec[0] = 255;
+  for (int i = 1; i < kWidth * kHeight; ++i) {
+    tensor_vec[i] = 200;
+  }
+
+  const int64_t time = 1234;
+  runner->MutableInputs()->Tag(kTensor).packets.push_back(
+      Adopt(tensor.release()).At(Timestamp(time)));
+
+  if (!std::is_same<TypeParam, float>::value) {
+    EXPECT_FALSE(runner->Run().ok());
+    return;  // Short circuit because does not apply to other types.
+  } else {
+    EXPECT_TRUE(runner->Run().ok());
+    const std::vector<Packet>& output_packets =
+        runner->Outputs().Tag(kImage).packets;
+    EXPECT_EQ(1, output_packets.size());
+    EXPECT_EQ(time, output_packets[0].Timestamp().Value());
+    const ImageFrame& output_image = output_packets[0].Get<ImageFrame>();
+    EXPECT_EQ(ImageFormat::GRAY8, output_image.Format());
+    EXPECT_EQ(kWidth, output_image.Width());
+    EXPECT_EQ(kHeight, output_image.Height());
+
+    EXPECT_EQ(255, output_image.PixelData()[0]);
+    for (int i = 1; i < kWidth * kHeight; ++i) {
+      const uint8_t pixel_value = output_image.PixelData()[i];
+      ASSERT_EQ(0, pixel_value);
+    }
+  }
+}
+
 }  // namespace mediapipe

mediapipe/calculators/tensorflow/tensor_to_matrix_calculator.cc

@@ -15,6 +15,7 @@
 // Calculator converts from one-dimensional Tensor of DT_FLOAT to Matrix
 // OR from (batched) two-dimensional Tensor of DT_FLOAT to Matrix.
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tensorflow/tensor_to_matrix_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/matrix.h"
@@ -36,7 +37,7 @@ constexpr char kReference[] = "REFERENCE";
 
 absl::Status FillTimeSeriesHeaderIfValid(const Packet& header_packet,
                                          TimeSeriesHeader* header) {
-  CHECK(header);
+  ABSL_CHECK(header);
   if (header_packet.IsEmpty()) {
     return absl::UnknownError("No header found.");
   }
@@ -191,7 +192,7 @@ absl::Status TensorToMatrixCalculator::Process(CalculatorContext* cc) {
       << "Tensor stream packet does not contain a Tensor.";
 
   const tf::Tensor& input_tensor = cc->Inputs().Tag(kTensor).Get<tf::Tensor>();
-  CHECK(1 == input_tensor.dims() || 2 == input_tensor.dims())
+  ABSL_CHECK(1 == input_tensor.dims() || 2 == input_tensor.dims())
       << "Only 1-D or 2-D Tensors can be converted to matrices.";
   const int32_t length = input_tensor.dim_size(input_tensor.dims() - 1);
   const int32_t width =

mediapipe/calculators/tensorflow/tensorflow_inference_calculator.cc

@@ -20,6 +20,7 @@
 #include <vector>
 
 #include "absl/base/thread_annotations.h"
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/str_split.h"
 #include "absl/synchronization/mutex.h"
@@ -515,7 +516,7 @@ class TensorFlowInferenceCalculator : public CalculatorBase {
         tf::Tensor concated;
         const tf::Status concat_status =
             tf::tensor::Concat(keyed_tensors.second, &concated);
-        CHECK(concat_status.ok()) << concat_status.ToString();
+        ABSL_CHECK(concat_status.ok()) << concat_status.ToString();
         input_tensors.emplace_back(tag_to_tensor_map_[keyed_tensors.first],
                                    concated);
       }
@@ -597,7 +598,7 @@ class TensorFlowInferenceCalculator : public CalculatorBase {
         std::vector<tf::Tensor> split_tensors;
         const tf::Status split_status =
             tf::tensor::Split(outputs[i], split_vector, &split_tensors);
-        CHECK(split_status.ok()) << split_status.ToString();
+        ABSL_CHECK(split_status.ok()) << split_status.ToString();
         // Loop over timestamps so that we don't copy the padding.
         for (int j = 0; j < inference_state->batch_timestamps_.size(); ++j) {
           tf::Tensor output_tensor(split_tensors[j]);

mediapipe/calculators/tensorflow/tensorflow_inference_calculator_test.cc

@@ -17,6 +17,8 @@
 #include <vector>
 
 #include "absl/flags/flag.h"
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_inference_calculator.pb.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session_from_frozen_graph_generator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -118,7 +120,7 @@ class TensorflowInferenceCalculatorTest : public ::testing::Test {
   // Create tensor from Vector and add as a Packet to the provided tag as input.
   void AddVectorToInputsAsPacket(const std::vector<Packet>& packets,
                                  const std::string& tag) {
-    CHECK(!packets.empty())
+    ABSL_CHECK(!packets.empty())
         << "Please specify at least some data in the packet";
     auto packets_ptr = absl::make_unique<std::vector<Packet>>(packets);
     runner_->MutableInputs()->Tag(tag).packets.push_back(
@@ -586,12 +588,12 @@ TEST_F(TensorflowInferenceCalculatorTest, TestRecurrentStates) {
       runner_->Outputs().Tag(kMultipliedTag).packets;
   ASSERT_EQ(2, output_packets_mult.size());
   const tf::Tensor& tensor_mult = output_packets_mult[0].Get<tf::Tensor>();
-  LOG(INFO) << "timestamp: " << 0;
+  ABSL_LOG(INFO) << "timestamp: " << 0;
   auto expected_tensor = tf::test::AsTensor<int32_t>({3, 8, 15});
   tf::test::ExpectTensorEqual<int32_t>(tensor_mult, expected_tensor);
   const tf::Tensor& tensor_mult1 = output_packets_mult[1].Get<tf::Tensor>();
   auto expected_tensor1 = tf::test::AsTensor<int32_t>({9, 32, 75});
-  LOG(INFO) << "timestamp: " << 1;
+  ABSL_LOG(INFO) << "timestamp: " << 1;
   tf::test::ExpectTensorEqual<int32_t>(tensor_mult1, expected_tensor1);
 
   EXPECT_EQ(2, runner_
@@ -627,12 +629,12 @@ TEST_F(TensorflowInferenceCalculatorTest, TestRecurrentStateOverride) {
       runner_->Outputs().Tag(kMultipliedTag).packets;
   ASSERT_EQ(2, output_packets_mult.size());
   const tf::Tensor& tensor_mult = output_packets_mult[0].Get<tf::Tensor>();
-  LOG(INFO) << "timestamp: " << 0;
+  ABSL_LOG(INFO) << "timestamp: " << 0;
   auto expected_tensor = tf::test::AsTensor<int32_t>({3, 4, 5});
   tf::test::ExpectTensorEqual<int32_t>(tensor_mult, expected_tensor);
   const tf::Tensor& tensor_mult1 = output_packets_mult[1].Get<tf::Tensor>();
   auto expected_tensor1 = tf::test::AsTensor<int32_t>({3, 4, 5});
-  LOG(INFO) << "timestamp: " << 1;
+  ABSL_LOG(INFO) << "timestamp: " << 1;
   tf::test::ExpectTensorEqual<int32_t>(tensor_mult1, expected_tensor1);
 
   EXPECT_EQ(2, runner_

mediapipe/calculators/tensorflow/tensorflow_session_from_frozen_graph_calculator.cc

@@ -23,12 +23,12 @@
 
 #include <string>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session_from_frozen_graph_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/deps/clock.h"
 #include "mediapipe/framework/deps/monotonic_clock.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "mediapipe/framework/port/status.h"
 #include "mediapipe/framework/tool/status_util.h"
@@ -156,7 +156,7 @@ class TensorFlowSessionFromFrozenGraphCalculator : public CalculatorBase {
 
     cc->OutputSidePackets().Tag(kSessionTag).Set(Adopt(session.release()));
     const uint64_t end_time = absl::ToUnixMicros(clock->TimeNow());
-    LOG(INFO) << "Loaded frozen model in: " << end_time - start_time
+    ABSL_LOG(INFO) << "Loaded frozen model in: " << end_time - start_time
                    << " microseconds.";
     return absl::OkStatus();
   }

mediapipe/calculators/tensorflow/tensorflow_session_from_frozen_graph_generator.cc

@@ -24,13 +24,13 @@
 
 #include <string>
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session_from_frozen_graph_generator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/deps/clock.h"
 #include "mediapipe/framework/deps/monotonic_clock.h"
 #include "mediapipe/framework/port/file_helpers.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "mediapipe/framework/port/status.h"
 #include "mediapipe/framework/tool/status_util.h"
@@ -155,7 +155,7 @@ class TensorFlowSessionFromFrozenGraphGenerator : public PacketGenerator {
 
     output_side_packets->Tag(kSessionTag) = Adopt(session.release());
     const uint64_t end_time = absl::ToUnixMicros(clock->TimeNow());
-    LOG(INFO) << "Loaded frozen model in: " << end_time - start_time
+    ABSL_LOG(INFO) << "Loaded frozen model in: " << end_time - start_time
                    << " microseconds.";
     return absl::OkStatus();
   }

mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_calculator.cc

@@ -17,6 +17,7 @@
 #if !defined(__ANDROID__)
 #include "mediapipe/framework/port/file_helpers.h"
 #endif
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_replace.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_calculator.pb.h"
@@ -69,7 +70,7 @@ const std::string MaybeConvertSignatureToTag(
                    [](unsigned char c) { return std::toupper(c); });
     output = absl::StrReplaceAll(
         output, {{"/", "_"}, {"-", "_"}, {".", "_"}, {":", "_"}});
-    LOG(INFO) << "Renamed TAG from: " << name << " to " << output;
+    ABSL_LOG(INFO) << "Renamed TAG from: " << name << " to " << output;
     return output;
   } else {
     return name;

mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.cc

@@ -19,6 +19,7 @@
 #if !defined(__ANDROID__)
 #include "mediapipe/framework/port/file_helpers.h"
 #endif
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_replace.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session.h"
 #include "mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.pb.h"
@@ -75,7 +76,7 @@ const std::string MaybeConvertSignatureToTag(
                    [](unsigned char c) { return std::toupper(c); });
     output = absl::StrReplaceAll(
         output, {{"/", "_"}, {"-", "_"}, {".", "_"}, {":", "_"}});
-    LOG(INFO) << "Renamed TAG from: " << name << " to " << output;
+    ABSL_LOG(INFO) << "Renamed TAG from: " << name << " to " << output;
     return output;
   } else {
     return name;

mediapipe/calculators/tensorflow/unpack_media_sequence_calculator.cc

@@ -13,6 +13,7 @@
 // limitations under the License.
 
 #include "absl/container/flat_hash_map.h"
+#include "absl/log/absl_log.h"
 #include "absl/strings/match.h"
 #include "mediapipe/calculators/core/packet_resampler_calculator.pb.h"
 #include "mediapipe/calculators/tensorflow/unpack_media_sequence_calculator.pb.h"
@@ -201,7 +202,7 @@ class UnpackMediaSequenceCalculator : public CalculatorBase {
     first_timestamp_seen_ = Timestamp::OneOverPostStream().Value();
     for (const auto& map_kv : sequence_->feature_lists().feature_list()) {
       if (absl::StrContains(map_kv.first, "/timestamp")) {
-        LOG(INFO) << "Found feature timestamps: " << map_kv.first
+        ABSL_LOG(INFO) << "Found feature timestamps: " << map_kv.first
                        << " with size: " << map_kv.second.feature_size();
         int64_t recent_timestamp = Timestamp::PreStream().Value();
         for (int i = 0; i < map_kv.second.feature_size(); ++i) {
@@ -309,7 +310,7 @@ class UnpackMediaSequenceCalculator : public CalculatorBase {
         audio_decoder_options->set_end_time(
             end_time + options.extra_padding_from_media_decoder());
       }
-      LOG(INFO) << "Created AudioDecoderOptions:\n"
+      ABSL_LOG(INFO) << "Created AudioDecoderOptions:\n"
                      << audio_decoder_options->DebugString();
       cc->OutputSidePackets()
           .Tag(kAudioDecoderOptions)
@@ -331,7 +332,7 @@ class UnpackMediaSequenceCalculator : public CalculatorBase {
             ->set_end_time(Timestamp::FromSeconds(end_time).Value());
       }
 
-      LOG(INFO) << "Created PacketResamplerOptions:\n"
+      ABSL_LOG(INFO) << "Created PacketResamplerOptions:\n"
                      << resampler_options->DebugString();
       cc->OutputSidePackets()
           .Tag(kPacketResamplerOptions)
@@ -351,7 +352,8 @@ class UnpackMediaSequenceCalculator : public CalculatorBase {
   absl::Status Process(CalculatorContext* cc) override {
     if (timestamps_.empty()) {
       // This occurs when we only have metadata to unpack.
-      LOG(INFO) << "only unpacking metadata because there are no timestamps.";
+      ABSL_LOG(INFO)
+          << "only unpacking metadata because there are no timestamps.";
       return tool::StatusStop();
     }
     // In Process(), we loop through timestamps on a reference stream and emit

mediapipe/calculators/tensorflow/unpack_media_sequence_calculator_test.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_log.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/numbers.h"
 #include "mediapipe/calculators/core/packet_resampler_calculator.pb.h"
@@ -81,7 +82,7 @@ class UnpackMediaSequenceCalculatorTest : public ::testing::Test {
     if (options != nullptr) {
       *config.mutable_options() = *options;
     }
-    LOG(INFO) << config.DebugString();
+    ABSL_LOG(INFO) << config.DebugString();
     runner_ = absl::make_unique<CalculatorRunner>(config);
   }
 

mediapipe/calculators/tensorflow/unpack_yt8m_sequence_example_calculator.cc

@@ -14,6 +14,8 @@
 
 #include <iterator>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/lapped_tensor_buffer_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/packet.h"
@@ -46,7 +48,7 @@ std::string GetQuantizedFeature(
                                .Get(index)
                                .bytes_list()
                                .value();
-  CHECK_EQ(1, bytes_list.size());
+  ABSL_CHECK_EQ(1, bytes_list.size());
   return bytes_list.Get(0);
 }
 }  // namespace
@@ -149,8 +151,9 @@ class UnpackYt8mSequenceExampleCalculator : public CalculatorBase {
             .Set(MakePacket<int>(segment_size));
       }
     }
-    LOG(INFO) << "Reading the sequence example that contains yt8m id: "
+    ABSL_LOG(INFO) << "Reading the sequence example that contains yt8m id: "
-              << yt8m_id << ". Feature list length: " << feature_list_length_;
+                   << yt8m_id
+                   << ". Feature list length: " << feature_list_length_;
     return absl::OkStatus();
   }
 

mediapipe/calculators/tensorflow/vector_float_to_tensor_calculator.cc

@@ -14,6 +14,7 @@
 //
 // Converts vector<float> (or vector<vector<float>>) to 1D (or 2D) tf::Tensor.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/vector_float_to_tensor_calculator_options.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -68,7 +69,7 @@ absl::Status VectorFloatToTensorCalculator::GetContract(
         // Output vector<float>.
     );
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   RET_CHECK_EQ(cc->Outputs().NumEntries(), 1)
       << "Only one output stream is supported.";
@@ -125,7 +126,7 @@ absl::Status VectorFloatToTensorCalculator::Process(CalculatorContext* cc) {
     }
     cc->Outputs().Index(0).Add(output.release(), cc->InputTimestamp());
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   return absl::OkStatus();
 }

mediapipe/calculators/tensorflow/vector_int_to_tensor_calculator.cc

@@ -15,6 +15,8 @@
 // Converts a single int or vector<int> or vector<vector<int>> to 1D (or 2D)
 // tf::Tensor.
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/vector_int_to_tensor_calculator_options.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -86,7 +88,7 @@ absl::Status VectorIntToTensorCalculator::GetContract(CalculatorContract* cc) {
       cc->Inputs().Tag(kVectorInt).Set<std::vector<int>>();
     }
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   RET_CHECK_EQ(cc->Outputs().NumEntries(), 1)
       << "Only one output stream is supported.";
@@ -113,11 +115,11 @@ absl::Status VectorIntToTensorCalculator::Process(CalculatorContext* cc) {
             .Get<std::vector<std::vector<int>>>();
 
     const int32_t rows = input.size();
-    CHECK_GE(rows, 1);
+    ABSL_CHECK_GE(rows, 1);
     const int32_t cols = input[0].size();
-    CHECK_GE(cols, 1);
+    ABSL_CHECK_GE(cols, 1);
     for (int i = 1; i < rows; ++i) {
-      CHECK_EQ(input[i].size(), cols);
+      ABSL_CHECK_EQ(input[i].size(), cols);
     }
     if (options_.transpose()) {
       tensor_shape = tf::TensorShape({cols, rows});
@@ -140,7 +142,7 @@ absl::Status VectorIntToTensorCalculator::Process(CalculatorContext* cc) {
               AssignMatrixValue<int>(c, r, input[r][c], output.get());
               break;
             default:
-              LOG(FATAL) << "tensor data type is not supported.";
+              ABSL_LOG(FATAL) << "tensor data type is not supported.";
           }
         }
       }
@@ -158,7 +160,7 @@ absl::Status VectorIntToTensorCalculator::Process(CalculatorContext* cc) {
               AssignMatrixValue<int>(r, c, input[r][c], output.get());
               break;
             default:
-              LOG(FATAL) << "tensor data type is not supported.";
+              ABSL_LOG(FATAL) << "tensor data type is not supported.";
           }
         }
       }
@@ -171,7 +173,7 @@ absl::Status VectorIntToTensorCalculator::Process(CalculatorContext* cc) {
     } else {
       input = cc->Inputs().Tag(kVectorInt).Value().Get<std::vector<int>>();
     }
-    CHECK_GE(input.size(), 1);
+    ABSL_CHECK_GE(input.size(), 1);
     const int32_t length = input.size();
     tensor_shape = tf::TensorShape({length});
     auto output = ::absl::make_unique<tf::Tensor>(options_.tensor_data_type(),
@@ -188,12 +190,12 @@ absl::Status VectorIntToTensorCalculator::Process(CalculatorContext* cc) {
           output->tensor<int, 1>()(i) = input.at(i);
           break;
         default:
-          LOG(FATAL) << "tensor data type is not supported.";
+          ABSL_LOG(FATAL) << "tensor data type is not supported.";
       }
     }
     cc->Outputs().Tag(kTensorOut).Add(output.release(), cc->InputTimestamp());
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   return absl::OkStatus();
 }

mediapipe/calculators/tensorflow/vector_string_to_tensor_calculator.cc

@@ -15,6 +15,7 @@
 // Converts vector<std::string> (or vector<vector<std::string>>) to 1D (or 2D)
 // tf::Tensor.
 
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tensorflow/vector_string_to_tensor_calculator_options.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/port/ret_check.h"
@@ -69,7 +70,7 @@ absl::Status VectorStringToTensorCalculator::GetContract(
         // Input vector<std::string>.
     );
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   RET_CHECK_EQ(cc->Outputs().NumEntries(), 1)
       << "Only one output stream is supported.";
@@ -129,7 +130,7 @@ absl::Status VectorStringToTensorCalculator::Process(CalculatorContext* cc) {
     }
     cc->Outputs().Index(0).Add(output.release(), cc->InputTimestamp());
   } else {
-    LOG(FATAL) << "input size not supported";
+    ABSL_LOG(FATAL) << "input size not supported";
   }
   return absl::OkStatus();
 }

mediapipe/calculators/tflite/BUILD

@@ -103,6 +103,8 @@ cc_library(
         "//mediapipe/framework/formats/object_detection:anchor_cc_proto",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -196,10 +198,13 @@ cc_library(
     deps = [
         ":tflite_inference_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/stream_handler:fixed_size_input_stream_handler",
         "//mediapipe/util/tflite:config",
         "//mediapipe/util/tflite:tflite_model_loader",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/memory",
         "@org_tensorflow//tensorflow/lite:framework",
         "@org_tensorflow//tensorflow/lite/delegates/xnnpack:xnnpack_delegate",
@@ -275,6 +280,7 @@ cc_library(
         "//mediapipe/framework/stream_handler:fixed_size_input_stream_handler",
         "//mediapipe/util:resource_util",
         "//mediapipe/util/tflite:config",
+        "@com_google_absl//absl/log:absl_check",
         "@org_tensorflow//tensorflow/lite:framework",
         "@org_tensorflow//tensorflow/lite/kernels:builtin_ops",
     ] + selects.with_or({
@@ -392,6 +398,8 @@ cc_library(
         "//mediapipe/framework/formats/object_detection:anchor_cc_proto",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/util/tflite:config",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings:str_format",
         "@com_google_absl//absl/types:span",
         "@org_tensorflow//tensorflow/lite:framework",
@@ -428,6 +436,7 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/util:resource_util",
         "@com_google_absl//absl/container:node_hash_map",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings:str_format",
         "@com_google_absl//absl/types:span",
         "@org_tensorflow//tensorflow/lite:framework",
@@ -456,6 +465,7 @@ cc_library(
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/formats:landmark_cc_proto",
         "//mediapipe/framework/port:ret_check",
+        "@com_google_absl//absl/log:absl_check",
         "@org_tensorflow//tensorflow/lite:framework",
     ],
     alwayslink = 1,

mediapipe/calculators/tflite/ssd_anchors_calculator.cc

@@ -16,6 +16,8 @@
 #include <utility>
 #include <vector>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "mediapipe/calculators/tflite/ssd_anchors_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/object_detection/anchor.pb.h"
@@ -272,13 +274,13 @@ absl::Status SsdAnchorsCalculator::GenerateAnchors(
 
   if (options.feature_map_height_size()) {
     if (options.strides_size()) {
-      LOG(ERROR) << "Found feature map shapes. Strides will be ignored.";
+      ABSL_LOG(ERROR) << "Found feature map shapes. Strides will be ignored.";
     }
-    CHECK_EQ(options.feature_map_height_size(), kNumLayers);
+    ABSL_CHECK_EQ(options.feature_map_height_size(), kNumLayers);
-    CHECK_EQ(options.feature_map_height_size(),
+    ABSL_CHECK_EQ(options.feature_map_height_size(),
                   options.feature_map_width_size());
   } else {
-    CHECK_EQ(options.strides_size(), kNumLayers);
+    ABSL_CHECK_EQ(options.strides_size(), kNumLayers);
   }
 
   if (options.multiscale_anchor_generation()) {

mediapipe/calculators/tflite/tflite_converter_calculator.cc

@@ -15,6 +15,7 @@
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tflite/tflite_converter_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame.h"
@@ -643,7 +644,7 @@ absl::Status TfLiteConverterCalculator::LoadOptions(CalculatorContext* cc) {
   if (options.has_output_tensor_float_range()) {
     output_range_.emplace(options.output_tensor_float_range().min(),
                           options.output_tensor_float_range().max());
-    CHECK_GT(output_range_->second, output_range_->first);
+    ABSL_CHECK_GT(output_range_->second, output_range_->first);
   }
 
   // Custom div and sub values.
@@ -661,9 +662,9 @@ absl::Status TfLiteConverterCalculator::LoadOptions(CalculatorContext* cc) {
 
   // Get desired way to handle input channels.
   max_num_channels_ = options.max_num_channels();
-  CHECK_GE(max_num_channels_, 1);
+  ABSL_CHECK_GE(max_num_channels_, 1);
-  CHECK_LE(max_num_channels_, 4);
+  ABSL_CHECK_LE(max_num_channels_, 4);
-  CHECK_NE(max_num_channels_, 2);
+  ABSL_CHECK_NE(max_num_channels_, 2);
 #if defined(MEDIAPIPE_IOS)
   if (cc->Inputs().HasTag(kGpuBufferTag))
     // Currently on iOS, tflite gpu input tensor must be 4 channels,

mediapipe/calculators/tflite/tflite_inference_calculator.cc

@@ -17,9 +17,12 @@
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "absl/memory/memory.h"
 #include "mediapipe/calculators/tflite/tflite_inference_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "mediapipe/util/tflite/config.h"
 
@@ -109,7 +112,7 @@ std::unique_ptr<tflite::Interpreter> BuildEdgeTpuInterpreter(
     edgetpu::EdgeTpuContext* edgetpu_context) {
   resolver->AddCustom(edgetpu::kCustomOp, edgetpu::RegisterCustomOp());
   std::unique_ptr<tflite::Interpreter> interpreter;
-  CHECK_EQ(tflite::InterpreterBuilder(model, *resolver)(&interpreter),
+  ABSL_CHECK_EQ(tflite::InterpreterBuilder(model, *resolver)(&interpreter),
                 kTfLiteOk);
   interpreter->SetExternalContext(kTfLiteEdgeTpuContext, edgetpu_context);
   return interpreter;
@@ -406,11 +409,12 @@ absl::Status TfLiteInferenceCalculator::Open(CalculatorContext* cc) {
   }
 
   if (use_advanced_gpu_api_ && !gpu_input_) {
-    LOG(WARNING) << "Cannot use advanced GPU APIs, input must be GPU buffers."
+    ABSL_LOG(WARNING)
+        << "Cannot use advanced GPU APIs, input must be GPU buffers."
            "Falling back to the default TFLite API.";
     use_advanced_gpu_api_ = false;
   }
-  CHECK(!use_advanced_gpu_api_ || gpu_inference_);
+  ABSL_CHECK(!use_advanced_gpu_api_ || gpu_inference_);
 
   MP_RETURN_IF_ERROR(LoadModel(cc));
 
@@ -802,9 +806,10 @@ absl::Status TfLiteInferenceCalculator::InitTFLiteGPURunner(
       const int tensor_idx = interpreter_->inputs()[i];
       interpreter_->SetTensorParametersReadWrite(tensor_idx, kTfLiteFloat32, "",
                                                  shape, quant);
-      CHECK(interpreter_->ResizeInputTensor(tensor_idx, shape) == kTfLiteOk);
+      ABSL_CHECK(interpreter_->ResizeInputTensor(tensor_idx, shape) ==
+                 kTfLiteOk);
     }
-    CHECK(interpreter_->AllocateTensors() == kTfLiteOk);
+    ABSL_CHECK(interpreter_->AllocateTensors() == kTfLiteOk);
   }
 
   // Create and bind OpenGL buffers for outputs.
@@ -1053,7 +1058,7 @@ absl::Status TfLiteInferenceCalculator::LoadDelegate(CalculatorContext* cc) {
           gpu_data_in_[i]->shape.w * gpu_data_in_[i]->shape.c;
       // Input to model can be RGBA only.
       if (tensor->dims->data[3] != 4) {
-        LOG(WARNING) << "Please ensure input GPU tensor is 4 channels.";
+        ABSL_LOG(WARNING) << "Please ensure input GPU tensor is 4 channels.";
       }
       const std::string shader_source =
           absl::Substitute(R"(#include <metal_stdlib>

mediapipe/calculators/tflite/tflite_tensors_to_classification_calculator.cc

@@ -17,6 +17,7 @@
 #include <vector>
 
 #include "absl/container/node_hash_map.h"
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_format.h"
 #include "absl/types/span.h"
 #include "mediapipe/calculators/tflite/tflite_tensors_to_classification_calculator.pb.h"
@@ -172,7 +173,7 @@ absl::Status TfLiteTensorsToClassificationCalculator::Process(
 
   // Note that partial_sort will raise error when top_k_ >
   // classification_list->classification_size().
-  CHECK_GE(classification_list->classification_size(), top_k_);
+  ABSL_CHECK_GE(classification_list->classification_size(), top_k_);
   auto raw_classification_list = classification_list->mutable_classification();
   if (top_k_ > 0 && classification_list->classification_size() >= top_k_) {
     std::partial_sort(raw_classification_list->begin(),

mediapipe/calculators/tflite/tflite_tensors_to_detections_calculator.cc

@@ -15,6 +15,8 @@
 #include <unordered_map>
 #include <vector>
 
+#include "absl/log/absl_check.h"
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_format.h"
 #include "absl/types/span.h"
 #include "mediapipe/calculators/tflite/tflite_tensors_to_detections_calculator.pb.h"
@@ -93,7 +95,7 @@ void ConvertRawValuesToAnchors(const float* raw_anchors, int num_boxes,
 
 void ConvertAnchorsToRawValues(const std::vector<Anchor>& anchors,
                                int num_boxes, float* raw_anchors) {
-  CHECK_EQ(anchors.size(), num_boxes);
+  ABSL_CHECK_EQ(anchors.size(), num_boxes);
   int box = 0;
   for (const auto& anchor : anchors) {
     raw_anchors[box * kNumCoordsPerBox + 0] = anchor.y_center();
@@ -288,14 +290,14 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessCPU(
     const TfLiteTensor* raw_score_tensor = &input_tensors[1];
 
     // TODO: Add flexible input tensor size handling.
-    CHECK_EQ(raw_box_tensor->dims->size, 3);
+    ABSL_CHECK_EQ(raw_box_tensor->dims->size, 3);
-    CHECK_EQ(raw_box_tensor->dims->data[0], 1);
+    ABSL_CHECK_EQ(raw_box_tensor->dims->data[0], 1);
-    CHECK_EQ(raw_box_tensor->dims->data[1], num_boxes_);
+    ABSL_CHECK_EQ(raw_box_tensor->dims->data[1], num_boxes_);
-    CHECK_EQ(raw_box_tensor->dims->data[2], num_coords_);
+    ABSL_CHECK_EQ(raw_box_tensor->dims->data[2], num_coords_);
-    CHECK_EQ(raw_score_tensor->dims->size, 3);
+    ABSL_CHECK_EQ(raw_score_tensor->dims->size, 3);
-    CHECK_EQ(raw_score_tensor->dims->data[0], 1);
+    ABSL_CHECK_EQ(raw_score_tensor->dims->data[0], 1);
-    CHECK_EQ(raw_score_tensor->dims->data[1], num_boxes_);
+    ABSL_CHECK_EQ(raw_score_tensor->dims->data[1], num_boxes_);
-    CHECK_EQ(raw_score_tensor->dims->data[2], num_classes_);
+    ABSL_CHECK_EQ(raw_score_tensor->dims->data[2], num_classes_);
     const float* raw_boxes = raw_box_tensor->data.f;
     const float* raw_scores = raw_score_tensor->data.f;
 
@@ -303,13 +305,13 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessCPU(
     if (!anchors_init_) {
       if (input_tensors.size() == kNumInputTensorsWithAnchors) {
         const TfLiteTensor* anchor_tensor = &input_tensors[2];
-        CHECK_EQ(anchor_tensor->dims->size, 2);
+        ABSL_CHECK_EQ(anchor_tensor->dims->size, 2);
-        CHECK_EQ(anchor_tensor->dims->data[0], num_boxes_);
+        ABSL_CHECK_EQ(anchor_tensor->dims->data[0], num_boxes_);
-        CHECK_EQ(anchor_tensor->dims->data[1], kNumCoordsPerBox);
+        ABSL_CHECK_EQ(anchor_tensor->dims->data[1], kNumCoordsPerBox);
         const float* raw_anchors = anchor_tensor->data.f;
         ConvertRawValuesToAnchors(raw_anchors, num_boxes_, &anchors_);
       } else if (side_packet_anchors_) {
-        CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
+        ABSL_CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
         anchors_ =
             cc->InputSidePackets().Tag("ANCHORS").Get<std::vector<Anchor>>();
       } else {
@@ -409,7 +411,7 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessGPU(
         CopyBuffer(input_tensors[1], gpu_data_->raw_scores_buffer));
     if (!anchors_init_) {
       if (side_packet_anchors_) {
-        CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
+        ABSL_CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
         const auto& anchors =
             cc->InputSidePackets().Tag("ANCHORS").Get<std::vector<Anchor>>();
         std::vector<float> raw_anchors(num_boxes_ * kNumCoordsPerBox);
@@ -417,7 +419,7 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessGPU(
         MP_RETURN_IF_ERROR(gpu_data_->raw_anchors_buffer.Write<float>(
             absl::MakeSpan(raw_anchors)));
       } else {
-        CHECK_EQ(input_tensors.size(), kNumInputTensorsWithAnchors);
+        ABSL_CHECK_EQ(input_tensors.size(), kNumInputTensorsWithAnchors);
         MP_RETURN_IF_ERROR(
             CopyBuffer(input_tensors[2], gpu_data_->raw_anchors_buffer));
       }
@@ -477,7 +479,7 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessGPU(
                     commandBuffer:[gpu_helper_ commandBuffer]];
   if (!anchors_init_) {
     if (side_packet_anchors_) {
-      CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
+      ABSL_CHECK(!cc->InputSidePackets().Tag("ANCHORS").IsEmpty());
       const auto& anchors =
           cc->InputSidePackets().Tag("ANCHORS").Get<std::vector<Anchor>>();
       std::vector<float> raw_anchors(num_boxes_ * kNumCoordsPerBox);
@@ -541,7 +543,7 @@ absl::Status TfLiteTensorsToDetectionsCalculator::ProcessGPU(
                                          output_detections));
 
 #else
-  LOG(ERROR) << "GPU input on non-Android not supported yet.";
+  ABSL_LOG(ERROR) << "GPU input on non-Android not supported yet.";
 #endif  // MEDIAPIPE_TFLITE_GL_INFERENCE
   return absl::OkStatus();
 }
@@ -567,10 +569,10 @@ absl::Status TfLiteTensorsToDetectionsCalculator::LoadOptions(
   num_coords_ = options_.num_coords();
 
   // Currently only support 2D when num_values_per_keypoint equals to 2.
-  CHECK_EQ(options_.num_values_per_keypoint(), 2);
+  ABSL_CHECK_EQ(options_.num_values_per_keypoint(), 2);
 
   // Check if the output size is equal to the requested boxes and keypoints.
-  CHECK_EQ(options_.num_keypoints() * options_.num_values_per_keypoint() +
+  ABSL_CHECK_EQ(options_.num_keypoints() * options_.num_values_per_keypoint() +
                     kNumCoordsPerBox,
                 num_coords_);
 
@@ -897,10 +899,11 @@ void main() {
     int max_wg_size;  //  typically <= 1024
     glGetIntegeri_v(GL_MAX_COMPUTE_WORK_GROUP_SIZE, 1,
                     &max_wg_size);  // y-dim
-    CHECK_LT(num_classes_, max_wg_size)
+    ABSL_CHECK_LT(num_classes_, max_wg_size)
         << "# classes must be < " << max_wg_size;
     // TODO support better filtering.
-    CHECK_LE(ignore_classes_.size(), 1) << "Only ignore class 0 is allowed";
+    ABSL_CHECK_LE(ignore_classes_.size(), 1)
+        << "Only ignore class 0 is allowed";
 
     // Shader program
     GlShader score_shader;
@@ -1115,7 +1118,7 @@ kernel void scoreKernel(
       ignore_classes_.size() ? 1 : 0);
 
   // TODO support better filtering.
-  CHECK_LE(ignore_classes_.size(), 1) << "Only ignore class 0 is allowed";
+  ABSL_CHECK_LE(ignore_classes_.size(), 1) << "Only ignore class 0 is allowed";
 
   {
     // Shader program
@@ -1147,7 +1150,8 @@ kernel void scoreKernel(
                             options:MTLResourceStorageModeShared];
     // # filter classes supported is hardware dependent.
     int max_wg_size = gpu_data_->score_program.maxTotalThreadsPerThreadgroup;
-    CHECK_LT(num_classes_, max_wg_size) << "# classes must be <" << max_wg_size;
+    ABSL_CHECK_LT(num_classes_, max_wg_size)
+        << "# classes must be <" << max_wg_size;
   }
 
 #endif  // MEDIAPIPE_TFLITE_GL_INFERENCE

mediapipe/calculators/tflite/tflite_tensors_to_landmarks_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_check.h"
 #include "mediapipe/calculators/tflite/tflite_tensors_to_landmarks_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/landmark.pb.h"
@@ -199,7 +200,7 @@ absl::Status TfLiteTensorsToLandmarksCalculator::Process(
     num_values *= raw_tensor->dims->data[i];
   }
   const int num_dimensions = num_values / num_landmarks_;
-  CHECK_GT(num_dimensions, 0);
+  ABSL_CHECK_GT(num_dimensions, 0);
 
   const float* raw_landmarks = raw_tensor->data.f;
 

mediapipe/calculators/util/BUILD

@@ -183,9 +183,9 @@ cc_library(
         "//mediapipe/framework:calculator_options_cc_proto",
         "//mediapipe/framework:timestamp",
         "//mediapipe/framework/deps:clock",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
         "@com_google_absl//absl/time",
     ],
@@ -248,11 +248,12 @@ cc_library(
         ":annotation_overlay_calculator_cc_proto",
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:calculator_options_cc_proto",
+        "//mediapipe/framework/formats:image",
         "//mediapipe/framework/formats:image_format_cc_proto",
         "//mediapipe/framework/formats:image_frame",
         "//mediapipe/framework/formats:image_frame_opencv",
+        "//mediapipe/framework/formats:image_opencv",
         "//mediapipe/framework/formats:video_stream_header",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:opencv_core",
         "//mediapipe/framework/port:opencv_imgproc",
         "//mediapipe/framework/port:status",
@@ -260,6 +261,7 @@ cc_library(
         "//mediapipe/util:annotation_renderer",
         "//mediapipe/util:color_cc_proto",
         "//mediapipe/util:render_data_cc_proto",
+        "@com_google_absl//absl/log:absl_log",
         "@com_google_absl//absl/strings",
     ] + select({
         "//mediapipe/gpu:disable_gpu": [],
@@ -374,9 +376,10 @@ cc_library(
         "//mediapipe/framework/formats:detection_cc_proto",
         "//mediapipe/framework/formats:image_frame",
         "//mediapipe/framework/formats:location",
-        "//mediapipe/framework/port:logging",
         "//mediapipe/framework/port:rectangle",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_check",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -675,6 +678,7 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/util:color_cc_proto",
         "//mediapipe/util:render_data_cc_proto",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
         "@com_google_absl//absl/strings",
     ],
@@ -731,6 +735,7 @@ cc_library(
         "//mediapipe/framework/port:statusor",
         "//mediapipe/util:color_cc_proto",
         "//mediapipe/util:render_data_cc_proto",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/strings",
     ],
     alwayslink = 1,
@@ -746,6 +751,7 @@ cc_library(
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/util:color_cc_proto",
         "//mediapipe/util:render_data_cc_proto",
+        "@com_google_absl//absl/log:absl_check",
     ],
     alwayslink = 1,
 )
@@ -1149,6 +1155,7 @@ cc_library(
         "//mediapipe/framework/port:file_helpers",
         "//mediapipe/framework/port:ret_check",
         "//mediapipe/framework/port:status",
+        "@com_google_absl//absl/log:absl_log",
     ],
     alwayslink = 1,
 )
@@ -1209,6 +1216,7 @@ cc_library(
         "//mediapipe/framework/port:rectangle",
         "//mediapipe/framework/port:status",
         "//mediapipe/util:rectangle_util",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
     ],
     alwayslink = 1,
@@ -1480,6 +1488,7 @@ cc_library(
         "//mediapipe/framework/formats:landmark_cc_proto",
         "//mediapipe/framework/port:core_proto",
         "//mediapipe/framework/port:ret_check",
+        "@com_google_absl//absl/log:absl_check",
         "@com_google_absl//absl/memory",
     ],
     alwayslink = 1,

mediapipe/calculators/util/annotation_overlay_calculator.cc

@@ -14,15 +14,17 @@
 
 #include <memory>
 
+#include "absl/log/absl_log.h"
 #include "absl/strings/str_cat.h"
 #include "mediapipe/calculators/util/annotation_overlay_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/calculator_options.pb.h"
+#include "mediapipe/framework/formats/image.h"
 #include "mediapipe/framework/formats/image_format.pb.h"
 #include "mediapipe/framework/formats/image_frame.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
+#include "mediapipe/framework/formats/image_opencv.h"
 #include "mediapipe/framework/formats/video_stream_header.h"
-#include "mediapipe/framework/port/logging.h"
 #include "mediapipe/framework/port/opencv_core_inc.h"
 #include "mediapipe/framework/port/opencv_imgproc_inc.h"
 #include "mediapipe/framework/port/status.h"
@@ -45,6 +47,7 @@ namespace {
 constexpr char kVectorTag[] = "VECTOR";
 constexpr char kGpuBufferTag[] = "IMAGE_GPU";
 constexpr char kImageFrameTag[] = "IMAGE";
+constexpr char kImageTag[] = "UIMAGE";  // Universal Image
 
 enum { ATTRIB_VERTEX, ATTRIB_TEXTURE_POSITION, NUM_ATTRIBUTES };
 
@@ -57,13 +60,16 @@ size_t RoundUp(size_t n, size_t m) { return ((n + m - 1) / m) * m; }  // NOLINT
 constexpr uchar kAnnotationBackgroundColor = 2;  // Grayscale value.
 
 // Future Image type.
-inline bool HasImageTag(mediapipe::CalculatorContext* cc) { return false; }
+inline bool HasImageTag(mediapipe::CalculatorContext* cc) {
+  return cc->Inputs().HasTag(kImageTag);
+}
 }  // namespace
 
 // A calculator for rendering data on images.
 //
 // Inputs:
 //  1. IMAGE or IMAGE_GPU (optional): An ImageFrame (or GpuBuffer),
+//     or UIMAGE (an Image).
 //     containing the input image.
 //     If output is CPU, and input isn't provided, the renderer creates a
 //     blank canvas with the width, height and color provided in the options.
@@ -76,6 +82,7 @@ inline bool HasImageTag(mediapipe::CalculatorContext* cc) { return false; }
 //
 // Output:
 //  1. IMAGE or IMAGE_GPU: A rendered ImageFrame (or GpuBuffer),
+//     or UIMAGE (an Image).
 //  Note: Output types should match their corresponding input stream type.
 //
 // For CPU input frames, only SRGBA, SRGB and GRAY8 format are supported. The
@@ -135,6 +142,9 @@ class AnnotationOverlayCalculator : public CalculatorBase {
   absl::Status CreateRenderTargetCpu(CalculatorContext* cc,
                                      std::unique_ptr<cv::Mat>& image_mat,
                                      ImageFormat::Format* target_format);
+  absl::Status CreateRenderTargetCpuImage(CalculatorContext* cc,
+                                          std::unique_ptr<cv::Mat>& image_mat,
+                                          ImageFormat::Format* target_format);
   template <typename Type, const char* Tag>
   absl::Status CreateRenderTargetGpu(CalculatorContext* cc,
                                      std::unique_ptr<cv::Mat>& image_mat);
@@ -172,30 +182,38 @@ class AnnotationOverlayCalculator : public CalculatorBase {
 REGISTER_CALCULATOR(AnnotationOverlayCalculator);
 
 absl::Status AnnotationOverlayCalculator::GetContract(CalculatorContract* cc) {
-  CHECK_GE(cc->Inputs().NumEntries(), 1);
+  RET_CHECK_GE(cc->Inputs().NumEntries(), 1);
 
   bool use_gpu = false;
 
-  if (cc->Inputs().HasTag(kImageFrameTag) &&
+  RET_CHECK(cc->Inputs().HasTag(kImageFrameTag) +
-      cc->Inputs().HasTag(kGpuBufferTag)) {
+                cc->Inputs().HasTag(kGpuBufferTag) +
-    return absl::InternalError("Cannot have multiple input images.");
+                cc->Inputs().HasTag(kImageTag) <=
-  }
+            1);
-  if (cc->Inputs().HasTag(kGpuBufferTag) !=
+  RET_CHECK(cc->Outputs().HasTag(kImageFrameTag) +
-      cc->Outputs().HasTag(kGpuBufferTag)) {
+                cc->Outputs().HasTag(kGpuBufferTag) +
-    return absl::InternalError("GPU output must have GPU input.");
+                cc->Outputs().HasTag(kImageTag) ==
-  }
+            1);
 
   // Input image to render onto copy of. Should be same type as output.
 #if !MEDIAPIPE_DISABLE_GPU
   if (cc->Inputs().HasTag(kGpuBufferTag)) {
     cc->Inputs().Tag(kGpuBufferTag).Set<mediapipe::GpuBuffer>();
-    CHECK(cc->Outputs().HasTag(kGpuBufferTag));
+    RET_CHECK(cc->Outputs().HasTag(kGpuBufferTag));
     use_gpu = true;
   }
 #endif  // !MEDIAPIPE_DISABLE_GPU
   if (cc->Inputs().HasTag(kImageFrameTag)) {
     cc->Inputs().Tag(kImageFrameTag).Set<ImageFrame>();
-    CHECK(cc->Outputs().HasTag(kImageFrameTag));
+    RET_CHECK(cc->Outputs().HasTag(kImageFrameTag));
+  }
+
+  if (cc->Inputs().HasTag(kImageTag)) {
+    cc->Inputs().Tag(kImageTag).Set<mediapipe::Image>();
+    RET_CHECK(cc->Outputs().HasTag(kImageTag));
+#if !MEDIAPIPE_DISABLE_GPU
+    use_gpu = true;  // Prepare GPU resources because images can come in on GPU.
+#endif
   }
 
   // Data streams to render.
@@ -220,6 +238,9 @@ absl::Status AnnotationOverlayCalculator::GetContract(CalculatorContract* cc) {
   if (cc->Outputs().HasTag(kImageFrameTag)) {
     cc->Outputs().Tag(kImageFrameTag).Set<ImageFrame>();
   }
+  if (cc->Outputs().HasTag(kImageTag)) {
+    cc->Outputs().Tag(kImageTag).Set<mediapipe::Image>();
+  }
 
   if (use_gpu) {
 #if !MEDIAPIPE_DISABLE_GPU
@@ -252,9 +273,14 @@ absl::Status AnnotationOverlayCalculator::Open(CalculatorContext* cc) {
   renderer_ = absl::make_unique<AnnotationRenderer>();
   renderer_->SetFlipTextVertically(options_.flip_text_vertically());
   if (use_gpu_) renderer_->SetScaleFactor(options_.gpu_scale_factor());
+  if (renderer_->GetScaleFactor() < 1.0 && HasImageTag(cc))
+    ABSL_LOG(WARNING)
+        << "Annotation scale factor only supports GPU backed Image.";
 
   // Set the output header based on the input header (if present).
-  const char* tag = use_gpu_ ? kGpuBufferTag : kImageFrameTag;
+  const char* tag = HasImageTag(cc) ? kImageTag
+                    : use_gpu_      ? kGpuBufferTag
+                                    : kImageFrameTag;
   if (image_frame_available_ && !cc->Inputs().Tag(tag).Header().IsEmpty()) {
     const auto& input_header =
         cc->Inputs().Tag(tag).Header().Get<VideoHeader>();
@@ -280,6 +306,12 @@ absl::Status AnnotationOverlayCalculator::Process(CalculatorContext* cc) {
       cc->Inputs().Tag(kImageFrameTag).IsEmpty()) {
     return absl::OkStatus();
   }
+  if (cc->Inputs().HasTag(kImageTag) && cc->Inputs().Tag(kImageTag).IsEmpty()) {
+    return absl::OkStatus();
+  }
+  if (HasImageTag(cc)) {
+    use_gpu_ = cc->Inputs().Tag(kImageTag).Get<mediapipe::Image>().UsesGpu();
+  }
 
   // Initialize render target, drawn with OpenCV.
   std::unique_ptr<cv::Mat> image_mat;
@@ -289,10 +321,17 @@ absl::Status AnnotationOverlayCalculator::Process(CalculatorContext* cc) {
     if (!gpu_initialized_) {
       MP_RETURN_IF_ERROR(
           gpu_helper_.RunInGlContext([this, cc]() -> absl::Status {
+            if (HasImageTag(cc)) {
+              return GlSetup<mediapipe::Image, kImageTag>(cc);
+            }
             return GlSetup<mediapipe::GpuBuffer, kGpuBufferTag>(cc);
           }));
       gpu_initialized_ = true;
     }
+    if (HasImageTag(cc)) {
+      MP_RETURN_IF_ERROR(
+          (CreateRenderTargetGpu<mediapipe::Image, kImageTag>(cc, image_mat)));
+    }
     if (cc->Inputs().HasTag(kGpuBufferTag)) {
       MP_RETURN_IF_ERROR(
           (CreateRenderTargetGpu<mediapipe::GpuBuffer, kGpuBufferTag>(
@@ -300,6 +339,10 @@ absl::Status AnnotationOverlayCalculator::Process(CalculatorContext* cc) {
     }
 #endif  // !MEDIAPIPE_DISABLE_GPU
   } else {
+    if (cc->Outputs().HasTag(kImageTag)) {
+      MP_RETURN_IF_ERROR(
+          CreateRenderTargetCpuImage(cc, image_mat, &target_format));
+    }
     if (cc->Outputs().HasTag(kImageFrameTag)) {
       MP_RETURN_IF_ERROR(CreateRenderTargetCpu(cc, image_mat, &target_format));
     }
@@ -339,6 +382,9 @@ absl::Status AnnotationOverlayCalculator::Process(CalculatorContext* cc) {
     uchar* image_mat_ptr = image_mat->data;
     MP_RETURN_IF_ERROR(
         gpu_helper_.RunInGlContext([this, cc, image_mat_ptr]() -> absl::Status {
+          if (HasImageTag(cc)) {
+            return RenderToGpu<mediapipe::Image, kImageTag>(cc, image_mat_ptr);
+          }
           return RenderToGpu<mediapipe::GpuBuffer, kGpuBufferTag>(
               cc, image_mat_ptr);
         }));
@@ -381,6 +427,10 @@ absl::Status AnnotationOverlayCalculator::RenderToCpu(
                               ImageFrame::kDefaultAlignmentBoundary);
 #endif  // !MEDIAPIPE_DISABLE_GPU
 
+  if (HasImageTag(cc)) {
+    auto out = std::make_unique<mediapipe::Image>(std::move(output_frame));
+    cc->Outputs().Tag(kImageTag).Add(out.release(), cc->InputTimestamp());
+  }
   if (cc->Outputs().HasTag(kImageFrameTag)) {
     cc->Outputs()
         .Tag(kImageFrameTag)
@@ -487,6 +537,54 @@ absl::Status AnnotationOverlayCalculator::CreateRenderTargetCpu(
   return absl::OkStatus();
 }
 
+absl::Status AnnotationOverlayCalculator::CreateRenderTargetCpuImage(
+    CalculatorContext* cc, std::unique_ptr<cv::Mat>& image_mat,
+    ImageFormat::Format* target_format) {
+  if (image_frame_available_) {
+    const auto& input_frame =
+        cc->Inputs().Tag(kImageTag).Get<mediapipe::Image>();
+
+    int target_mat_type;
+    switch (input_frame.image_format()) {
+      case ImageFormat::SRGBA:
+        *target_format = ImageFormat::SRGBA;
+        target_mat_type = CV_8UC4;
+        break;
+      case ImageFormat::SRGB:
+        *target_format = ImageFormat::SRGB;
+        target_mat_type = CV_8UC3;
+        break;
+      case ImageFormat::GRAY8:
+        *target_format = ImageFormat::SRGB;
+        target_mat_type = CV_8UC3;
+        break;
+      default:
+        return absl::UnknownError("Unexpected image frame format.");
+        break;
+    }
+
+    image_mat = absl::make_unique<cv::Mat>(
+        input_frame.height(), input_frame.width(), target_mat_type);
+
+    auto input_mat = formats::MatView(&input_frame);
+    if (input_frame.image_format() == ImageFormat::GRAY8) {
+      cv::Mat rgb_mat;
+      cv::cvtColor(*input_mat, rgb_mat, cv::COLOR_GRAY2RGB);
+      rgb_mat.copyTo(*image_mat);
+    } else {
+      input_mat->copyTo(*image_mat);
+    }
+  } else {
+    image_mat = absl::make_unique<cv::Mat>(
+        options_.canvas_height_px(), options_.canvas_width_px(), CV_8UC3,
+        cv::Scalar(options_.canvas_color().r(), options_.canvas_color().g(),
+                   options_.canvas_color().b()));
+    *target_format = ImageFormat::SRGB;
+  }
+
+  return absl::OkStatus();
+}
+
 template <typename Type, const char* Tag>
 absl::Status AnnotationOverlayCalculator::CreateRenderTargetGpu(
     CalculatorContext* cc, std::unique_ptr<cv::Mat>& image_mat) {

mediapipe/calculators/util/association_calculator.h

@@ -18,6 +18,7 @@
 #include <memory>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "mediapipe/calculators/util/association_calculator.pb.h"
 #include "mediapipe/framework/calculator_context.h"
@@ -72,7 +73,7 @@ class AssociationCalculator : public CalculatorBase {
       prev_input_stream_id_ = cc->Inputs().GetId("PREV", 0);
     }
     options_ = cc->Options<::mediapipe::AssociationCalculatorOptions>();
-    CHECK_GE(options_.min_similarity_threshold(), 0);
+    ABSL_CHECK_GE(options_.min_similarity_threshold(), 0);
 
     return absl::OkStatus();
   }

mediapipe/calculators/util/detection_label_id_to_text_calculator.cc

@@ -19,6 +19,7 @@
 #include "mediapipe/framework/port/integral_types.h"
 #include "mediapipe/framework/port/proto_ns.h"
 #include "mediapipe/framework/port/status.h"
+#include "mediapipe/framework/port/status_macros.h"
 #include "mediapipe/util/label_map.pb.h"
 #include "mediapipe/util/resource_util.h"
 
@@ -85,7 +86,8 @@ absl::Status DetectionLabelIdToTextCalculator::Open(CalculatorContext* cc) {
     ASSIGN_OR_RETURN(string_path,
                      PathToResourceAsFile(options.label_map_path()));
     std::string label_map_string;
-    MP_RETURN_IF_ERROR(file::GetContents(string_path, &label_map_string));
+    MP_RETURN_IF_ERROR(
+        mediapipe::GetResourceContents(string_path, &label_map_string));
 
     std::istringstream stream(label_map_string);
     std::string line;

mediapipe/calculators/util/detections_to_render_data_calculator.cc

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/str_join.h"
@@ -233,13 +234,13 @@ void DetectionsToRenderDataCalculator::AddLabels(
     const Detection& detection,
     const DetectionsToRenderDataCalculatorOptions& options,
     float text_line_height, RenderData* render_data) {
-  CHECK(detection.label().empty() || detection.label_id().empty() ||
+  ABSL_CHECK(detection.label().empty() || detection.label_id().empty() ||
              detection.label_size() == detection.label_id_size())
       << "String or integer labels should be of same size. Or only one of them "
          "is present.";
   const auto num_labels =
       std::max(detection.label_size(), detection.label_id_size());
-  CHECK_EQ(detection.score_size(), num_labels)
+  ABSL_CHECK_EQ(detection.score_size(), num_labels)
       << "Number of scores and labels should match for detection.";
 
   // Extracts all "label(_id),score" for the detection.
@@ -361,7 +362,7 @@ void DetectionsToRenderDataCalculator::AddDetectionToRenderData(
     const Detection& detection,
     const DetectionsToRenderDataCalculatorOptions& options,
     RenderData* render_data) {
-  CHECK(detection.location_data().format() == LocationData::BOUNDING_BOX ||
+  ABSL_CHECK(detection.location_data().format() == LocationData::BOUNDING_BOX ||
              detection.location_data().format() ==
                  LocationData::RELATIVE_BOUNDING_BOX)
       << "Only Detection with formats of BOUNDING_BOX or RELATIVE_BOUNDING_BOX "

mediapipe/calculators/util/labels_to_render_data_calculator.cc

@@ -19,6 +19,7 @@
 #include <string>
 #include <vector>
 
+#include "absl/log/absl_check.h"
 #include "absl/strings/str_cat.h"
 #include "mediapipe/calculators/util/labels_to_render_data_calculator.pb.h"
 #include "mediapipe/framework/calculator_framework.h"
@@ -114,7 +115,8 @@ absl::Status LabelsToRenderDataCalculator::Process(CalculatorContext* cc) {
     video_height_ = video_header.height;
     return absl::OkStatus();
   } else {
-    CHECK_EQ(options_.location(), LabelsToRenderDataCalculatorOptions::TOP_LEFT)
+    ABSL_CHECK_EQ(options_.location(),
+                  LabelsToRenderDataCalculatorOptions::TOP_LEFT)
         << "Only TOP_LEFT is supported without VIDEO_PRESTREAM.";
   }
 
@@ -144,7 +146,7 @@ absl::Status LabelsToRenderDataCalculator::Process(CalculatorContext* cc) {
     if (cc->Inputs().HasTag(kScoresTag)) {
       std::vector<float> score_vector =
           cc->Inputs().Tag(kScoresTag).Get<std::vector<float>>();
-      CHECK_EQ(label_vector.size(), score_vector.size());
+      ABSL_CHECK_EQ(label_vector.size(), score_vector.size());
       scores.resize(label_vector.size());
       for (int i = 0; i < label_vector.size(); ++i) {
         scores[i] = score_vector[i];

mediapipe/calculators/util/landmarks_refinement_calculator.cc

@@ -18,6 +18,7 @@
 #include <set>
 #include <utility>
 
+#include "absl/log/absl_check.h"
 #include "absl/memory/memory.h"
 #include "mediapipe/calculators/util/landmarks_refinement_calculator.pb.h"
 #include "mediapipe/framework/api2/node.h"
@@ -102,7 +103,8 @@ void RefineZ(
           ->set_z(z_average);
     }
   } else {
-    CHECK(false) << "Z refinement is either not specified or not supported";
+    ABSL_CHECK(false)
+        << "Z refinement is either not specified or not supported";
   }
 }