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Author SHA1 Message Date
dependabot[bot]
4ce9284ca8
Bump word-wrap from 1.2.3 to 1.2.4
Bumps [word-wrap](https://github.com/jonschlinkert/word-wrap) from 1.2.3 to 1.2.4.
- [Release notes](https://github.com/jonschlinkert/word-wrap/releases)
- [Commits](https://github.com/jonschlinkert/word-wrap/compare/1.2.3...1.2.4)

---
updated-dependencies:
- dependency-name: word-wrap
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
2023-07-20 01:06:45 +00:00
1290 changed files with 12405 additions and 70971 deletions

View File

@ -98,9 +98,6 @@ build:darwin_arm64 --apple_platform_type=macos
build:darwin_arm64 --macos_minimum_os=10.16
build:darwin_arm64 --cpu=darwin_arm64
# Turn off maximum stdout size
build --experimental_ui_max_stdouterr_bytes=-1
# This bazelrc file is meant to be written by a setup script.
try-import %workspace%/.configure.bazelrc

View File

@ -40,16 +40,18 @@ body:
label: Programming Language and version (e.g. C++, Python, Java)
validations:
required: true
- type: input
- type: textarea
id: current_model
attributes:
label: Describe the actual behavior
render: shell
validations:
required: true
- type: input
- type: textarea
id: expected_model
attributes:
label: Describe the expected behaviour
render: shell
validations:
required: true
- type: textarea

View File

@ -41,16 +41,18 @@ body:
label: Task name (e.g. Image classification, Gesture recognition etc.)
validations:
required: true
- type: input
- type: textarea
id: current_model
attributes:
label: Describe the actual behavior
render: shell
validations:
required: true
- type: input
- type: textarea
id: expected_model
attributes:
label: Describe the expected behaviour
render: shell
validations:
required: true
- type: textarea

View File

@ -31,16 +31,18 @@ body:
label: URL that shows the problem
validations:
required: false
- type: input
- type: textarea
id: current_model
attributes:
label: Describe the actual behavior
render: shell
validations:
required: false
- type: input
- type: textarea
id: expected_model
attributes:
label: Describe the expected behaviour
render: shell
validations:
required: false
- type: textarea

View File

@ -28,33 +28,37 @@ body:
- 'No'
validations:
required: false
- type: input
- type: textarea
id: behaviour
attributes:
label: Describe the feature and the current behaviour/state
render: shell
validations:
required: true
- type: input
- type: textarea
id: api_change
attributes:
label: Will this change the current API? How?
render: shell
validations:
required: false
- type: input
- type: textarea
id: benifit
attributes:
label: Who will benefit with this feature?
validations:
required: false
- type: input
- type: textarea
id: use_case
attributes:
label: Please specify the use cases for this feature
render: shell
validations:
required: true
- type: input
- type: textarea
id: info_other
attributes:
label: Any Other info
render: shell
validations:
required: false

View File

@ -87,13 +87,14 @@ body:
placeholder:
validations:
required: false
- type: input
- type: textarea
id: what-happened
attributes:
label: Describe the problem
description: Provide the exact sequence of commands / steps that you executed before running into the [problem](https://google.github.io/mediapipe/getting_started/getting_started.html)
placeholder: Tell us what you see!
value: "A bug happened!"
render: shell
validations:
required: true
- type: textarea

View File

@ -80,16 +80,18 @@ body:
label: Xcode & Tulsi version (if issue is related to building for iOS)
validations:
required: false
- type: input
- type: textarea
id: current_model
attributes:
label: Describe the actual behavior
render: shell
validations:
required: true
- type: input
- type: textarea
id: expected_model
attributes:
label: Describe the expected behaviour
render: shell
validations:
required: true
- type: textarea

View File

@ -48,16 +48,18 @@ body:
placeholder: e.g. C++, Python, Java
validations:
required: false
- type: input
- type: textarea
id: current_model
attributes:
label: Describe the actual behavior
render: shell
validations:
required: false
- type: input
- type: textarea
id: expected_model
attributes:
label: Describe the expected behaviour
render: shell
validations:
required: false
- type: textarea

View File

@ -39,9 +39,7 @@ jobs:
# Limit the No. of API calls in one run default value is 30.
operations-per-run: 500
# Prevent to remove stale label when PRs or issues are updated.
remove-stale-when-updated: true
# List of labels to remove when issues/PRs unstale.
labels-to-remove-when-unstale: 'stat:awaiting response'
remove-stale-when-updated: false
# comment on issue if not active for more then 7 days.
stale-issue-message: 'This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.'
# comment on PR if not active for more then 14 days.

View File

@ -73,9 +73,12 @@ http_archive(
http_archive(
name = "zlib",
build_file = "@//third_party:zlib.BUILD",
sha256 = "b3a24de97a8fdbc835b9833169501030b8977031bcb54b3b3ac13740f846ab30",
strip_prefix = "zlib-1.2.13",
url = "http://zlib.net/fossils/zlib-1.2.13.tar.gz",
sha256 = "c3e5e9fdd5004dcb542feda5ee4f0ff0744628baf8ed2dd5d66f8ca1197cb1a1",
strip_prefix = "zlib-1.2.11",
urls = [
"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",
],
@ -176,25 +179,6 @@ http_archive(
],
)
# 2023-06-05
# This version of Glog is required for Windows support, but currently causes
# crashes on some Android devices.
http_archive(
name = "com_github_glog_glog_windows",
strip_prefix = "glog-3a0d4d22c5ae0b9a2216988411cfa6bf860cc372",
sha256 = "170d08f80210b82d95563f4723a15095eff1aad1863000e8eeb569c96a98fefb",
urls = [
"https://github.com/google/glog/archive/3a0d4d22c5ae0b9a2216988411cfa6bf860cc372.zip",
],
patches = [
"@//third_party:com_github_glog_glog.diff",
"@//third_party:com_github_glog_glog_windows_patch.diff",
],
patch_args = [
"-p1",
],
)
# easyexif
http_archive(
name = "easyexif",
@ -244,14 +228,16 @@ http_archive(
# sentencepiece
http_archive(
name = "com_google_sentencepiece",
strip_prefix = "sentencepiece-0.1.96",
sha256 = "8409b0126ebd62b256c685d5757150cf7fcb2b92a2f2b98efb3f38fc36719754",
strip_prefix = "sentencepiece-1.0.0",
sha256 = "c05901f30a1d0ed64cbcf40eba08e48894e1b0e985777217b7c9036cac631346",
urls = [
"https://github.com/google/sentencepiece/archive/refs/tags/v0.1.96.zip"
"https://github.com/google/sentencepiece/archive/1.0.0.zip",
],
patches = [
"@//third_party:com_google_sentencepiece_no_gflag_no_gtest.diff",
],
build_file = "@//third_party:sentencepiece.BUILD",
patches = ["@//third_party:com_google_sentencepiece.diff"],
patch_args = ["-p1"],
repo_mapping = {"@com_google_glog" : "@com_github_glog_glog_no_gflags"},
)
http_archive(
@ -499,10 +485,10 @@ http_archive(
)
# TensorFlow repo should always go after the other external dependencies.
# TF on 2023-07-26.
_TENSORFLOW_GIT_COMMIT = "e92261fd4cec0b726692081c4d2966b75abf31dd"
# TF on 2023-06-13.
_TENSORFLOW_GIT_COMMIT = "491681a5620e41bf079a582ac39c585cc86878b9"
# curl -L https://github.com/tensorflow/tensorflow/archive/<TENSORFLOW_GIT_COMMIT>.tar.gz | shasum -a 256
_TENSORFLOW_SHA256 = "478a229bd4ec70a5b568ac23b5ea013d9fca46a47d6c43e30365a0412b9febf4"
_TENSORFLOW_SHA256 = "9f76389af7a2835e68413322c1eaabfadc912f02a76d71dc16be507f9ca3d3ac"
http_archive(
name = "org_tensorflow",
urls = [
@ -510,12 +496,8 @@ 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",
# Works around Bazel issue with objc_library.
# See https://github.com/bazelbuild/bazel/issues/19912
"@//third_party:org_tensorflow_objc_build_fixes.diff",
],
patch_args = [
"-p1",

View File

@ -1,342 +0,0 @@
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@ -1,7 +0,0 @@
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@ -1,8 +0,0 @@
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@ -1,14 +0,0 @@
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View File

@ -1,17 +0,0 @@
//
// MediaPipeTasksDocGen.h
// MediaPipeTasksDocGen
//
// Created by Mark McDonald on 20/9/2023.
//
#import <Foundation/Foundation.h>
//! Project version number for MediaPipeTasksDocGen.
FOUNDATION_EXPORT double MediaPipeTasksDocGenVersionNumber;
//! Project version string for MediaPipeTasksDocGen.
FOUNDATION_EXPORT const unsigned char MediaPipeTasksDocGenVersionString[];
// In this header, you should import all the public headers of your framework using statements like
// #import <MediaPipeTasksDocGen/PublicHeader.h>

View File

@ -1,11 +0,0 @@
# Uncomment the next line to define a global platform for your project
platform :ios, '15.0'
target 'MediaPipeTasksDocGen' do
# Comment the next line if you don't want to use dynamic frameworks
use_frameworks!
# Pods for MediaPipeTasksDocGen
pod 'MediaPipeTasksText'
pod 'MediaPipeTasksVision'
end

View File

@ -1,9 +0,0 @@
# MediaPipeTasksDocGen
This empty project is used to generate reference documentation for the
ObjectiveC and Swift libraries.
Docs are generated using [Jazzy](https://github.com/realm/jazzy) and published
to [the developer site](https://developers.google.com/mediapipe/solutions/).
To bump the API version used, edit [`Podfile`](./Podfile).

View File

@ -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)) {
ABSL_LOG(INFO) << packet.Get<string>();
LOG(INFO) << packet.Get<string>();
}
```

View File

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

View File

@ -14,54 +14,57 @@
licenses(["notice"]) # Apache 2.0
load("@mediapipe//mediapipe:platforms.bzl", "config_setting_and_platform")
# Note: yes, these need to use "//external:android/crosstool", not
# @androidndk//:default_crosstool.
# Generic Android
config_setting(
name = "android",
constraint_values = [
"@platforms//os:android",
],
values = {"crosstool_top": "//external:android/crosstool"},
visibility = ["//visibility:public"],
)
# Android x86 32-bit.
config_setting_and_platform(
config_setting(
name = "android_x86",
constraint_values = [
"@platforms//os:android",
"@platforms//cpu:x86_32",
],
values = {
"crosstool_top": "//external:android/crosstool",
"cpu": "x86",
},
visibility = ["//visibility:public"],
)
# Android x86 64-bit.
config_setting_and_platform(
config_setting(
name = "android_x86_64",
constraint_values = [
"@platforms//os:android",
"@platforms//cpu:x86_64",
],
values = {
"crosstool_top": "//external:android/crosstool",
"cpu": "x86_64",
},
visibility = ["//visibility:public"],
)
# Android ARMv7.
config_setting_and_platform(
config_setting(
name = "android_armeabi",
values = {
"crosstool_top": "//external:android/crosstool",
"cpu": "armeabi",
},
visibility = ["//visibility:public"],
)
config_setting(
name = "android_arm",
constraint_values = [
"@platforms//os:android",
"@platforms//cpu:armv7",
],
values = {
"crosstool_top": "//external:android/crosstool",
"cpu": "armeabi-v7a",
},
visibility = ["//visibility:public"],
)
# Android ARM64.
config_setting_and_platform(
config_setting(
name = "android_arm64",
constraint_values = [
"@platforms//os:android",
"@platforms//cpu:arm64",
],
values = {
"crosstool_top": "//external:android/crosstool",
"cpu": "arm64-v8a",
},
visibility = ["//visibility:public"],
)
@ -75,7 +78,7 @@ config_setting(
)
# MacOS x86 64-bit.
config_setting_and_platform(
config_setting(
name = "macos_x86_64",
constraint_values = [
"@platforms//os:macos",
@ -85,7 +88,7 @@ config_setting_and_platform(
)
# MacOS ARM64.
config_setting_and_platform(
config_setting(
name = "macos_arm64",
constraint_values = [
"@platforms//os:macos",
@ -104,7 +107,7 @@ config_setting(
)
# iOS device ARM32.
config_setting_and_platform(
config_setting(
name = "ios_armv7",
constraint_values = [
"@platforms//os:ios",
@ -114,7 +117,7 @@ config_setting_and_platform(
)
# iOS device ARM64.
config_setting_and_platform(
config_setting(
name = "ios_arm64",
constraint_values = [
"@platforms//os:ios",
@ -124,7 +127,7 @@ config_setting_and_platform(
)
# iOS device ARM64E.
config_setting_and_platform(
config_setting(
name = "ios_arm64e",
constraint_values = [
"@platforms//os:ios",
@ -134,7 +137,7 @@ config_setting_and_platform(
)
# iOS simulator x86 32-bit.
config_setting_and_platform(
config_setting(
name = "ios_i386",
constraint_values = [
"@platforms//os:ios",
@ -145,7 +148,7 @@ config_setting_and_platform(
)
# iOS simulator x86 64-bit.
config_setting_and_platform(
config_setting(
name = "ios_x86_64",
constraint_values = [
"@platforms//os:ios",
@ -156,7 +159,7 @@ config_setting_and_platform(
)
# iOS simulator ARM64.
config_setting_and_platform(
config_setting(
name = "ios_sim_arm64",
constraint_values = [
"@platforms//os:ios",
@ -166,6 +169,7 @@ config_setting_and_platform(
visibility = ["//visibility:public"],
)
# Generic Apple.
alias(
name = "apple",
actual = select({
@ -176,24 +180,9 @@ alias(
visibility = ["//visibility:public"],
)
# Windows 64-bit.
config_setting_and_platform(
config_setting(
name = "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"],
values = {"cpu": "x64_windows"},
)
exports_files(

View File

@ -12,7 +12,6 @@
# 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"])
@ -146,7 +145,6 @@ 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",
@ -165,9 +163,8 @@ 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",
@ -188,7 +185,6 @@ 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,
)
@ -228,7 +224,6 @@ 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_audio_tools//audio/dsp:window_functions",
"@eigen_archive//:eigen3",
],
@ -299,7 +294,6 @@ 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",
],
@ -333,7 +327,6 @@ cc_binary(
"//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",
],
)
@ -352,7 +345,6 @@ 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",
],

View File

@ -23,7 +23,6 @@
#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"
@ -139,7 +138,7 @@ absl::Status FramewiseTransformCalculatorBase::Process(CalculatorContext* cc) {
TransformFrame(input_frame, &output_frame);
// Copy output from vector<float> to Eigen::Vector.
ABSL_CHECK_EQ(output_frame.size(), num_output_channels_);
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>();

View File

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

View File

@ -27,6 +27,7 @@
#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 {

View File

@ -80,7 +80,7 @@ message SpectrogramCalculatorOptions {
// If use_local_timestamp is true, the output packet's timestamp is based on
// the last sample of the packet and it's inferred from the latest input
// packet's timestamp. If false, the output packet's timestamp is based on
// the cumulative timestamping, which is inferred from the initial input
// the cumulative timestamping, which is inferred from the intial input
// timestamp and the cumulative number of samples.
optional bool use_local_timestamp = 8 [default = false];
}

View File

@ -22,7 +22,6 @@
#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"
@ -883,11 +882,11 @@ void BM_ProcessDC(benchmark::State& state) {
const CalculatorRunner::StreamContents& output = runner.Outputs().Index(0);
const Matrix& output_matrix = output.packets[0].Get<Matrix>();
ABSL_LOG(INFO) << "Output matrix=" << output_matrix.rows() << "x"
<< output_matrix.cols();
ABSL_LOG(INFO) << "First values=" << output_matrix(0, 0) << ", "
<< output_matrix(1, 0) << ", " << output_matrix(2, 0) << ", "
<< output_matrix(3, 0);
LOG(INFO) << "Output matrix=" << output_matrix.rows() << "x"
<< output_matrix.cols();
LOG(INFO) << "First values=" << output_matrix(0, 0) << ", "
<< output_matrix(1, 0) << ", " << output_matrix(2, 0) << ", "
<< output_matrix(3, 0);
}
BENCHMARK(BM_ProcessDC);

View File

@ -18,7 +18,6 @@
#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"
@ -60,7 +59,7 @@ class StabilizedLogCalculator : public CalculatorBase {
output_scale_ = stabilized_log_calculator_options.output_scale();
check_nonnegativity_ =
stabilized_log_calculator_options.check_nonnegativity();
ABSL_CHECK_GE(stabilizer_, 0.0)
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.

View File

@ -18,7 +18,6 @@
#include <vector>
#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"
@ -105,7 +104,7 @@ class TimeSeriesFramerCalculator : public CalculatorBase {
// 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_));
ABSL_CHECK_EQ(current_output_frame_start, cumulative_completed_samples_);
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;

View File

@ -66,7 +66,7 @@ message TimeSeriesFramerCalculatorOptions {
// If use_local_timestamp is true, the output packet's timestamp is based on
// the last sample of the packet and it's inferred from the latest input
// packet's timestamp. If false, the output packet's timestamp is based on
// the cumulative timestamping, which is inferred from the initial input
// the cumulative timestamping, which is inferred from the intial input
// timestamp and the cumulative number of samples.
optional bool use_local_timestamp = 6 [default = false];
}

View File

@ -17,7 +17,6 @@
#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"
@ -71,7 +70,7 @@ void BM_TimeSeriesFramerCalculator(benchmark::State& state) {
}
// Initialize graph.
mediapipe::CalculatorGraph graph;
ABSL_CHECK_OK(graph.Initialize(config));
CHECK_OK(graph.Initialize(config));
// Prepare input header.
auto header = std::make_unique<mediapipe::TimeSeriesHeader>();
header->set_sample_rate(kSampleRate);
@ -79,13 +78,13 @@ void BM_TimeSeriesFramerCalculator(benchmark::State& state) {
state.ResumeTiming(); // Resume benchmark timing.
ABSL_CHECK_OK(graph.StartRun({}, {{"input", Adopt(header.release())}}));
CHECK_OK(graph.StartRun({}, {{"input", Adopt(header.release())}}));
for (auto& packet : input_packets) {
ABSL_CHECK_OK(graph.AddPacketToInputStream("input", packet));
CHECK_OK(graph.AddPacketToInputStream("input", packet));
}
ABSL_CHECK(!graph.HasError());
ABSL_CHECK_OK(graph.CloseAllInputStreams());
ABSL_CHECK_OK(graph.WaitUntilIdle());
CHECK(!graph.HasError());
CHECK_OK(graph.CloseAllInputStreams());
CHECK_OK(graph.WaitUntilIdle());
}
}
BENCHMARK(BM_TimeSeriesFramerCalculator);

View File

@ -19,7 +19,6 @@
#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"
@ -187,12 +186,11 @@ class TimeSeriesFramerCalculatorTest
const int num_unique_output_samples =
round((output().packets.size() - 1) * frame_step_samples) +
frame_duration_samples;
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;
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;
const int num_padding_samples =
num_unique_output_samples - num_input_samples_;
if (options_.pad_final_packet()) {

View File

@ -21,10 +21,10 @@ licenses(["notice"])
package(default_visibility = ["//visibility:public"])
selects.config_setting_group(
name = "apple_or_disable_gpu",
name = "ios_or_disable_gpu",
match_any = [
"//mediapipe/gpu:disable_gpu",
"//mediapipe:apple",
"//mediapipe:ios",
],
)
@ -299,7 +299,7 @@ cc_library(
"//mediapipe/util:render_data_cc_proto",
"@org_tensorflow//tensorflow/lite:framework",
] + select({
":apple_or_disable_gpu": [],
":ios_or_disable_gpu": [],
"//conditions:default": [
"@org_tensorflow//tensorflow/lite/delegates/gpu/gl:gl_buffer",
],
@ -325,7 +325,6 @@ cc_library(
":concatenate_vector_calculator_cc_proto",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/api2:node",
"//mediapipe/framework/formats:body_rig_cc_proto",
"//mediapipe/framework/formats:classification_cc_proto",
"//mediapipe/framework/formats:landmark_cc_proto",
"//mediapipe/framework/port:ret_check",
@ -583,7 +582,6 @@ cc_library(
"//mediapipe/framework/port:logging",
"//mediapipe/framework/port:status",
"//mediapipe/framework/tool:options_util",
"@com_google_absl//absl/log:absl_check",
],
alwayslink = 1,
)
@ -599,7 +597,6 @@ 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",
],
)
@ -632,7 +629,6 @@ cc_library(
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/log:absl_log",
],
alwayslink = 1,
)
@ -727,7 +723,6 @@ cc_library(
"//mediapipe/framework/port:logging",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/status",
],
alwayslink = 1,
)
@ -743,7 +738,6 @@ cc_test(
"//mediapipe/framework/port:parse_text_proto",
"//mediapipe/framework/port:status",
"//mediapipe/framework/tool:options_util",
"//mediapipe/util:packet_test_util",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
],
@ -782,11 +776,10 @@ 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,
@ -842,7 +835,6 @@ 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",
],
)
@ -915,7 +907,7 @@ cc_library(
"@org_tensorflow//tensorflow/lite:framework",
"@org_tensorflow//tensorflow/lite/kernels:builtin_ops",
] + select({
":apple_or_disable_gpu": [],
":ios_or_disable_gpu": [],
"//conditions:default": [
"@org_tensorflow//tensorflow/lite/delegates/gpu/gl:gl_buffer",
],
@ -947,7 +939,6 @@ cc_library(
deps = [
":split_vector_calculator_cc_proto",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/formats:body_rig_cc_proto",
"//mediapipe/framework/formats:landmark_cc_proto",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
@ -1031,7 +1022,6 @@ cc_library(
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/api2:node",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/log:absl_log",
],
alwayslink = 1,
)
@ -1070,7 +1060,6 @@ cc_test(
"//mediapipe/framework:calculator_runner",
"//mediapipe/framework/port:gtest_main",
"//mediapipe/framework/port:parse_text_proto",
"@com_google_absl//absl/log:absl_log",
],
)
@ -1117,7 +1106,6 @@ cc_library(
"//mediapipe/framework/api2:node",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/log:absl_log",
],
alwayslink = 1,
)
@ -1393,26 +1381,3 @@ cc_test(
"@com_google_absl//absl/types:optional",
],
)
cc_library(
name = "value_or_default_calculator",
srcs = ["value_or_default_calculator.cc"],
visibility = ["//visibility:public"],
deps = [
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/port:status",
],
alwayslink = True,
)
cc_test(
name = "value_or_default_calculator_test",
srcs = ["value_or_default_calculator_test.cc"],
deps = [
":value_or_default_calculator",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:calculator_runner",
"//mediapipe/framework:packet",
"//mediapipe/framework/port:gtest_main",
],
)

View File

@ -13,7 +13,6 @@
// limitations under the License.
#include <string>
#include <utility>
#include <vector>
#include "absl/memory/memory.h"
@ -164,75 +163,6 @@ TEST_F(BeginEndLoopCalculatorGraphTest, MultipleVectors) {
PacketOfIntsEq(input_timestamp2, std::vector<int>{3, 4})));
}
TEST(BeginEndLoopCalculatorPossibleDataRaceTest,
EndLoopForIntegersDoesNotRace) {
auto graph_config = ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
num_threads: 4
input_stream: "ints"
node {
calculator: "BeginLoopIntegerCalculator"
input_stream: "ITERABLE:ints"
output_stream: "ITEM:int"
output_stream: "BATCH_END:timestamp"
}
node {
calculator: "IncrementCalculator"
input_stream: "int"
output_stream: "int_plus_one"
}
# BEGIN: Data race possibility
# EndLoop###Calculator and another calculator using the same input
# may introduce race due to EndLoop###Calculator possibly consuming
# packet.
node {
calculator: "EndLoopIntegersCalculator"
input_stream: "ITEM:int_plus_one"
input_stream: "BATCH_END:timestamp"
output_stream: "ITERABLE:ints_plus_one"
}
node {
calculator: "IncrementCalculator"
input_stream: "int_plus_one"
output_stream: "int_plus_two"
}
# END: Data race possibility
node {
calculator: "EndLoopIntegersCalculator"
input_stream: "ITEM:int_plus_two"
input_stream: "BATCH_END:timestamp"
output_stream: "ITERABLE:ints_plus_two"
}
)pb");
std::vector<Packet> int_plus_one_packets;
tool::AddVectorSink("ints_plus_one", &graph_config, &int_plus_one_packets);
std::vector<Packet> int_original_packets;
tool::AddVectorSink("ints_plus_two", &graph_config, &int_original_packets);
CalculatorGraph graph;
MP_ASSERT_OK(graph.Initialize(graph_config));
MP_ASSERT_OK(graph.StartRun({}));
for (int i = 0; i < 100; ++i) {
std::vector<int> ints = {i, i + 1, i + 2};
Timestamp ts = Timestamp(i);
MP_ASSERT_OK(graph.AddPacketToInputStream(
"ints", MakePacket<std::vector<int>>(std::move(ints)).At(ts)));
MP_ASSERT_OK(graph.WaitUntilIdle());
EXPECT_THAT(int_plus_one_packets,
testing::ElementsAre(
PacketOfIntsEq(ts, std::vector<int>{i + 1, i + 2, i + 3})));
EXPECT_THAT(int_original_packets,
testing::ElementsAre(
PacketOfIntsEq(ts, std::vector<int>{i + 2, i + 3, i + 4})));
int_plus_one_packets.clear();
int_original_packets.clear();
}
MP_ASSERT_OK(graph.CloseAllPacketSources());
MP_ASSERT_OK(graph.WaitUntilDone());
}
// Passes non empty vector through or outputs empty vector in case of timestamp
// bound update.
class PassThroughOrEmptyVectorCalculator : public CalculatorBase {

View File

@ -92,7 +92,7 @@ class BypassCalculator : public Node {
auto options = cc->Options<BypassCalculatorOptions>();
RET_CHECK_EQ(options.pass_input_stream().size(),
options.pass_output_stream().size());
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
auto pass_streams,
GetPassMap(options, *cc->Inputs().TagMap(), *cc->Outputs().TagMap()));
std::set<CollectionItemId> pass_out;
@ -121,9 +121,8 @@ class BypassCalculator : public Node {
// Saves the map of passthrough input and output stream ids.
absl::Status Open(CalculatorContext* cc) override {
auto options = cc->Options<BypassCalculatorOptions>();
MP_ASSIGN_OR_RETURN(
pass_streams_,
GetPassMap(options, *cc->Inputs().TagMap(), *cc->Outputs().TagMap()));
ASSIGN_OR_RETURN(pass_streams_, GetPassMap(options, *cc->Inputs().TagMap(),
*cc->Outputs().TagMap()));
return absl::OkStatus();
}

View File

@ -18,7 +18,6 @@
#include "mediapipe/calculators/core/concatenate_vector_calculator.pb.h"
#include "mediapipe/framework/api2/node.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/formats/body_rig.pb.h"
#include "mediapipe/framework/formats/classification.pb.h"
#include "mediapipe/framework/formats/landmark.pb.h"
#include "mediapipe/framework/port/canonical_errors.h"
@ -129,19 +128,6 @@ class ConcatenateClassificationListCalculator
};
MEDIAPIPE_REGISTER_NODE(ConcatenateClassificationListCalculator);
class ConcatenateJointListCalculator
: public ConcatenateListsCalculator<Joint, JointList> {
protected:
int ListSize(const JointList& list) const override {
return list.joint_size();
}
const Joint GetItem(const JointList& list, int idx) const override {
return list.joint(idx);
}
Joint* AddItem(JointList& list) const override { return list.add_joint(); }
};
MEDIAPIPE_REGISTER_NODE(ConcatenateJointListCalculator);
} // namespace api2
} // namespace mediapipe

View File

@ -14,8 +14,6 @@
#include "mediapipe/calculators/core/end_loop_calculator.h"
#include <array>
#include <utility>
#include <vector>
#include "mediapipe/framework/formats/classification.pb.h"
@ -86,8 +84,4 @@ 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

View File

@ -55,16 +55,16 @@ class EndLoopCalculator : public CalculatorBase {
if (!input_stream_collection_) {
input_stream_collection_.reset(new IterableT);
}
if constexpr (std::is_copy_constructible_v<ItemT>) {
input_stream_collection_->push_back(
cc->Inputs().Tag("ITEM").Get<ItemT>());
// Try to consume the item and move it into the collection. If the items
// are not consumable, then try to copy them instead. If the items are
// not copyable, then an error will be returned.
auto item_ptr_or = cc->Inputs().Tag("ITEM").Value().Consume<ItemT>();
if (item_ptr_or.ok()) {
input_stream_collection_->push_back(std::move(*item_ptr_or.value()));
} else {
// Try to consume the item and move it into the collection. Return an
// error if the items are not consumable.
auto item_ptr_or = cc->Inputs().Tag("ITEM").Value().Consume<ItemT>();
if (item_ptr_or.ok()) {
input_stream_collection_->push_back(std::move(*item_ptr_or.value()));
if constexpr (std::is_copy_constructible_v<ItemT>) {
input_stream_collection_->push_back(
cc->Inputs().Tag("ITEM").template Get<ItemT>());
} else {
return absl::InternalError(
"The item type is not copiable. Consider making the "

View File

@ -12,7 +12,6 @@
// 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"
@ -357,18 +356,18 @@ TEST_F(GateCalculatorTest, AllowWithStateChangeNoDataStreams) {
RunTimeStepWithoutDataStream(kTimestampValue2, "ALLOW", true);
constexpr int64_t kTimestampValue3 = 45;
RunTimeStepWithoutDataStream(kTimestampValue3, "ALLOW", false);
ABSL_LOG(INFO) << "a";
LOG(INFO) << "a";
const std::vector<Packet>& output =
runner()->Outputs().Get("STATE_CHANGE", 0).packets;
ABSL_LOG(INFO) << "s";
LOG(INFO) << "s";
ASSERT_EQ(2, output.size());
ABSL_LOG(INFO) << "d";
LOG(INFO) << "d";
EXPECT_EQ(kTimestampValue1, output[0].Timestamp().Value());
EXPECT_EQ(kTimestampValue3, output[1].Timestamp().Value());
ABSL_LOG(INFO) << "f";
LOG(INFO) << "f";
EXPECT_EQ(true, output[0].Get<bool>()); // Allow.
EXPECT_EQ(false, output[1].Get<bool>()); // Disallow.
ABSL_LOG(INFO) << "g";
LOG(INFO) << "g";
}
TEST_F(GateCalculatorTest, DisallowWithStateChange) {

View File

@ -12,7 +12,6 @@
// 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"
@ -79,7 +78,7 @@ absl::Status ImmediateMuxCalculator::Process(CalculatorContext* cc) {
if (packet.Timestamp() >= cc->Outputs().Index(0).NextTimestampBound()) {
cc->Outputs().Index(0).AddPacket(packet);
} else {
ABSL_LOG_FIRST_N(WARNING, 5)
LOG_FIRST_N(WARNING, 5)
<< "Dropping a packet with timestamp " << packet.Timestamp();
}
if (cc->Outputs().NumEntries() >= 2) {

View File

@ -16,7 +16,6 @@
#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"
@ -210,7 +209,7 @@ TEST(MatrixMultiplyCalculatorTest, Multiply) {
MatrixFromTextProto(kSamplesText, &samples);
Matrix expected;
MatrixFromTextProto(kExpectedText, &expected);
ABSL_CHECK_EQ(samples.cols(), expected.cols());
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

View File

@ -12,7 +12,6 @@
// 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"
@ -54,7 +53,7 @@ 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) {
ABSL_LOG(WARNING)
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 "
@ -73,8 +72,8 @@ class MergeCalculator : public Node {
}
}
ABSL_LOG(WARNING) << "Empty input packets at timestamp "
<< cc->InputTimestamp().Value();
LOG(WARNING) << "Empty input packets at timestamp "
<< cc->InputTimestamp().Value();
return absl::OkStatus();
}

View File

@ -16,9 +16,6 @@
#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) {
@ -180,7 +177,7 @@ PacketResamplerCalculator::GetSamplingStrategy(
const PacketResamplerCalculatorOptions& options) {
if (options.reproducible_sampling()) {
if (!options.jitter_with_reflection()) {
ABSL_LOG(WARNING)
LOG(WARNING)
<< "reproducible_sampling enabled w/ jitter_with_reflection "
"disabled. "
<< "reproducible_sampling always uses jitter with reflection, "
@ -203,15 +200,15 @@ PacketResamplerCalculator::GetSamplingStrategy(
Timestamp PacketResamplerCalculator::PeriodIndexToTimestamp(
int64_t index) const {
ABSL_CHECK_EQ(jitter_, 0.0);
ABSL_CHECK_NE(first_timestamp_, Timestamp::Unset());
CHECK_EQ(jitter_, 0.0);
CHECK_NE(first_timestamp_, Timestamp::Unset());
return first_timestamp_ + TimestampDiffFromSeconds(index / frame_rate_);
}
int64_t PacketResamplerCalculator::TimestampToPeriodIndex(
Timestamp timestamp) const {
ABSL_CHECK_EQ(jitter_, 0.0);
ABSL_CHECK_NE(first_timestamp_, Timestamp::Unset());
CHECK_EQ(jitter_, 0.0);
CHECK_NE(first_timestamp_, Timestamp::Unset());
return MathUtil::SafeRound<int64_t, double>(
(timestamp - first_timestamp_).Seconds() * frame_rate_);
}
@ -232,15 +229,13 @@ absl::Status LegacyJitterWithReflectionStrategy::Open(CalculatorContext* cc) {
if (resampler_options.output_header() !=
PacketResamplerCalculatorOptions::NONE) {
ABSL_LOG(WARNING)
<< "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
}
if (calculator_->flush_last_packet_) {
ABSL_LOG(WARNING)
<< "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
}
const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
@ -259,7 +254,7 @@ absl::Status LegacyJitterWithReflectionStrategy::Open(CalculatorContext* cc) {
}
absl::Status LegacyJitterWithReflectionStrategy::Close(CalculatorContext* cc) {
if (!packet_reservoir_->IsEmpty()) {
ABSL_LOG(INFO) << "Emitting pack from reservoir.";
LOG(INFO) << "Emitting pack from reservoir.";
calculator_->OutputWithinLimits(cc, packet_reservoir_->GetSample());
}
return absl::OkStatus();
@ -290,7 +285,7 @@ absl::Status LegacyJitterWithReflectionStrategy::Process(
if (calculator_->frame_time_usec_ <
(cc->InputTimestamp() - calculator_->last_packet_.Timestamp()).Value()) {
ABSL_LOG_FIRST_N(WARNING, 2)
LOG_FIRST_N(WARNING, 2)
<< "Adding jitter is not very useful when upsampling.";
}
@ -345,8 +340,8 @@ void LegacyJitterWithReflectionStrategy::UpdateNextOutputTimestampWithJitter() {
next_output_timestamp_ = Timestamp(ReflectBetween(
next_output_timestamp_.Value(), next_output_timestamp_min_.Value(),
next_output_timestamp_max_.Value()));
ABSL_CHECK_GE(next_output_timestamp_, next_output_timestamp_min_);
ABSL_CHECK_LT(next_output_timestamp_, next_output_timestamp_max_);
CHECK_GE(next_output_timestamp_, next_output_timestamp_min_);
CHECK_LT(next_output_timestamp_, next_output_timestamp_max_);
}
absl::Status ReproducibleJitterWithReflectionStrategy::Open(
@ -357,15 +352,13 @@ absl::Status ReproducibleJitterWithReflectionStrategy::Open(
if (resampler_options.output_header() !=
PacketResamplerCalculatorOptions::NONE) {
ABSL_LOG(WARNING)
<< "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
}
if (calculator_->flush_last_packet_) {
ABSL_LOG(WARNING)
<< "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
}
const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
@ -418,7 +411,7 @@ 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.
ABSL_LOG_FIRST_N(WARNING, 2)
LOG_FIRST_N(WARNING, 2)
<< "Adding jitter is not very useful when upsampling.";
}
@ -506,15 +499,13 @@ absl::Status JitterWithoutReflectionStrategy::Open(CalculatorContext* cc) {
if (resampler_options.output_header() !=
PacketResamplerCalculatorOptions::NONE) {
ABSL_LOG(WARNING)
<< "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
LOG(WARNING) << "VideoHeader::frame_rate holds the target value and not "
"the actual value.";
}
if (calculator_->flush_last_packet_) {
ABSL_LOG(WARNING)
<< "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
LOG(WARNING) << "PacketResamplerCalculatorOptions.flush_last_packet is "
"ignored, because we are adding jitter.";
}
const auto& seed = cc->InputSidePackets().Tag(kSeedTag).Get<std::string>();
@ -564,7 +555,7 @@ absl::Status JitterWithoutReflectionStrategy::Process(CalculatorContext* cc) {
if (calculator_->frame_time_usec_ <
(cc->InputTimestamp() - calculator_->last_packet_.Timestamp()).Value()) {
ABSL_LOG_FIRST_N(WARNING, 2)
LOG_FIRST_N(WARNING, 2)
<< "Adding jitter is not very useful when upsampling.";
}

View File

@ -13,6 +13,7 @@
#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"

View File

@ -71,7 +71,7 @@ TEST_F(PacketSequencerCalculatorTest, IsRegistered) {
CalculatorBaseRegistry::IsRegistered("PacketSequencerCalculator"));
}
// Shows how control packets receive timestamps before and after frame packets
// Shows how control packets recieve timestamps before and after frame packets
// have arrived.
TEST_F(PacketSequencerCalculatorTest, ChannelEarly) {
CalculatorGraphConfig::Node node_config = BuildNodeConfig();

View File

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

View File

@ -16,7 +16,6 @@
#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"
@ -71,7 +70,7 @@ class SimpleRunner : public CalculatorRunner {
}
double GetFrameRate() const {
ABSL_CHECK(!Outputs().Index(0).header.IsEmpty());
CHECK(!Outputs().Index(0).header.IsEmpty());
return Outputs().Index(0).header.Get<VideoHeader>().frame_rate;
}
};

View File

@ -14,7 +14,6 @@
#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"
@ -102,7 +101,7 @@ 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_) {
ABSL_LOG(FATAL) << "Not supported yet";
LOG(FATAL) << "Not supported yet";
}
// Store current packet for later output.
packet_cache_.push_back(kIn(cc).packet());

View File

@ -17,7 +17,6 @@
#include <set>
#include <string>
#include "absl/status/status.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/port/logging.h"
#include "mediapipe/framework/port/ret_check.h"
@ -33,7 +32,6 @@ namespace {
constexpr char kTagAtPreStream[] = "AT_PRESTREAM";
constexpr char kTagAtPostStream[] = "AT_POSTSTREAM";
constexpr char kTagAtZero[] = "AT_ZERO";
constexpr char kTagAtFirstTick[] = "AT_FIRST_TICK";
constexpr char kTagAtTick[] = "AT_TICK";
constexpr char kTagTick[] = "TICK";
constexpr char kTagAtTimestamp[] = "AT_TIMESTAMP";
@ -45,7 +43,6 @@ static std::map<std::string, Timestamp>* kTimestampMap = []() {
res->emplace(kTagAtPostStream, Timestamp::PostStream());
res->emplace(kTagAtZero, Timestamp(0));
res->emplace(kTagAtTick, Timestamp::Unset());
res->emplace(kTagAtFirstTick, Timestamp::Unset());
res->emplace(kTagAtTimestamp, Timestamp::Unset());
return res;
}();
@ -62,8 +59,8 @@ std::string GetOutputTag(const CC& cc) {
// timestamp, depending on the tag used to define output stream(s). (One tag can
// be used only.)
//
// Valid tags are AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK, AT_FIRST_TICK,
// AT_TIMESTAMP and corresponding timestamps are Timestamp::PreStream(),
// Valid tags are AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK, AT_TIMESTAMP
// and corresponding timestamps are Timestamp::PreStream(),
// Timestamp::PostStream(), Timestamp(0), timestamp of a packet received in TICK
// input, and timestamp received from a side input.
//
@ -99,7 +96,6 @@ class SidePacketToStreamCalculator : public CalculatorBase {
private:
bool is_tick_processing_ = false;
bool close_on_first_tick_ = false;
std::string output_tag_;
};
REGISTER_CALCULATOR(SidePacketToStreamCalculator);
@ -107,16 +103,13 @@ REGISTER_CALCULATOR(SidePacketToStreamCalculator);
absl::Status SidePacketToStreamCalculator::GetContract(CalculatorContract* cc) {
const auto& tags = cc->Outputs().GetTags();
RET_CHECK(tags.size() == 1 && kTimestampMap->count(*tags.begin()) == 1)
<< "Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK, "
"AT_FIRST_TICK and AT_TIMESTAMP tags is allowed and required to "
"specify output stream(s).";
const bool has_tick_output =
cc->Outputs().HasTag(kTagAtTick) || cc->Outputs().HasTag(kTagAtFirstTick);
const bool has_tick_input = cc->Inputs().HasTag(kTagTick);
RET_CHECK((has_tick_output && has_tick_input) ||
(!has_tick_output && !has_tick_input))
<< "Either both TICK input and tick (AT_TICK/AT_FIRST_TICK) output "
"should be used or none of them.";
<< "Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK and "
"AT_TIMESTAMP tags is allowed and required to specify output "
"stream(s).";
RET_CHECK(
(cc->Outputs().HasTag(kTagAtTick) && cc->Inputs().HasTag(kTagTick)) ||
(!cc->Outputs().HasTag(kTagAtTick) && !cc->Inputs().HasTag(kTagTick)))
<< "Either both of TICK and AT_TICK should be used or none of them.";
RET_CHECK((cc->Outputs().HasTag(kTagAtTimestamp) &&
cc->InputSidePackets().HasTag(kTagSideInputTimestamp)) ||
(!cc->Outputs().HasTag(kTagAtTimestamp) &&
@ -155,17 +148,11 @@ absl::Status SidePacketToStreamCalculator::Open(CalculatorContext* cc) {
// timestamp bound update.
cc->SetOffset(TimestampDiff(0));
}
if (output_tag_ == kTagAtFirstTick) {
close_on_first_tick_ = true;
}
return absl::OkStatus();
}
absl::Status SidePacketToStreamCalculator::Process(CalculatorContext* cc) {
if (is_tick_processing_) {
if (cc->Outputs().Get(output_tag_, 0).IsClosed()) {
return absl::OkStatus();
}
// TICK input is guaranteed to be non-empty, as it's the only input stream
// for this calculator.
const auto& timestamp = cc->Inputs().Tag(kTagTick).Value().Timestamp();
@ -173,9 +160,6 @@ absl::Status SidePacketToStreamCalculator::Process(CalculatorContext* cc) {
cc->Outputs()
.Get(output_tag_, i)
.AddPacket(cc->InputSidePackets().Index(i).At(timestamp));
if (close_on_first_tick_) {
cc->Outputs().Get(output_tag_, i).Close();
}
}
return absl::OkStatus();
@ -186,7 +170,6 @@ absl::Status SidePacketToStreamCalculator::Process(CalculatorContext* cc) {
absl::Status SidePacketToStreamCalculator::Close(CalculatorContext* cc) {
if (!cc->Outputs().HasTag(kTagAtTick) &&
!cc->Outputs().HasTag(kTagAtFirstTick) &&
!cc->Outputs().HasTag(kTagAtTimestamp)) {
const auto& timestamp = kTimestampMap->at(output_tag_);
for (int i = 0; i < cc->Outputs().NumEntries(output_tag_); ++i) {

View File

@ -27,17 +27,13 @@
#include "mediapipe/framework/port/status.h"
#include "mediapipe/framework/port/status_matchers.h"
#include "mediapipe/framework/tool/options_util.h"
#include "mediapipe/util/packet_test_util.h"
namespace mediapipe {
namespace {
using ::testing::ElementsAre;
using ::testing::Eq;
using ::testing::HasSubstr;
using ::testing::IsEmpty;
using testing::HasSubstr;
TEST(SidePacketToStreamCalculator, WrongConfigWithMissingTick) {
TEST(SidePacketToStreamCalculator, WrongConfig_MissingTick) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -56,35 +52,10 @@ TEST(SidePacketToStreamCalculator, WrongConfigWithMissingTick) {
EXPECT_THAT(
status.message(),
HasSubstr(
"Either both TICK input and tick (AT_TICK/AT_FIRST_TICK) output "
"should be used or none of them."));
"Either both of TICK and AT_TICK should be used or none of them."));
}
TEST(SidePacketToStreamCalculator,
WrongConfigWithMissingTickForFirstTickProcessing) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
input_stream: "tick"
input_side_packet: "side_packet"
output_stream: "packet"
node {
calculator: "SidePacketToStreamCalculator"
input_side_packet: "side_packet"
output_stream: "AT_FIRST_TICK:packet"
}
)pb");
CalculatorGraph graph;
auto status = graph.Initialize(graph_config);
EXPECT_FALSE(status.ok());
EXPECT_THAT(
status.message(),
HasSubstr(
"Either both TICK input and tick (AT_TICK/AT_FIRST_TICK) output "
"should be used or none of them."));
}
TEST(SidePacketToStreamCalculator, WrongConfigWithMissingTimestampSideInput) {
TEST(SidePacketToStreamCalculator, WrongConfig_MissingTimestampSideInput) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -105,7 +76,7 @@ TEST(SidePacketToStreamCalculator, WrongConfigWithMissingTimestampSideInput) {
"or none of them."));
}
TEST(SidePacketToStreamCalculator, WrongConfigWithNonExistentTag) {
TEST(SidePacketToStreamCalculator, WrongConfig_NonExistentTag) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -121,13 +92,14 @@ TEST(SidePacketToStreamCalculator, WrongConfigWithNonExistentTag) {
CalculatorGraph graph;
auto status = graph.Initialize(graph_config);
EXPECT_FALSE(status.ok());
EXPECT_THAT(status.message(),
HasSubstr("Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, "
"AT_TICK, AT_FIRST_TICK and AT_TIMESTAMP tags is "
"allowed and required to specify output stream(s)."));
EXPECT_THAT(
status.message(),
HasSubstr("Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK and "
"AT_TIMESTAMP tags is allowed and required to specify output "
"stream(s)."));
}
TEST(SidePacketToStreamCalculator, WrongConfigWithMixedTags) {
TEST(SidePacketToStreamCalculator, WrongConfig_MixedTags) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -145,13 +117,14 @@ TEST(SidePacketToStreamCalculator, WrongConfigWithMixedTags) {
CalculatorGraph graph;
auto status = graph.Initialize(graph_config);
EXPECT_FALSE(status.ok());
EXPECT_THAT(status.message(),
HasSubstr("Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, "
"AT_TICK, AT_FIRST_TICK and AT_TIMESTAMP tags is "
"allowed and required to specify output stream(s)."));
EXPECT_THAT(
status.message(),
HasSubstr("Only one of AT_PRESTREAM, AT_POSTSTREAM, AT_ZERO, AT_TICK and "
"AT_TIMESTAMP tags is allowed and required to specify output "
"stream(s)."));
}
TEST(SidePacketToStreamCalculator, WrongConfigWithNotEnoughSidePackets) {
TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughSidePackets) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -173,7 +146,7 @@ TEST(SidePacketToStreamCalculator, WrongConfigWithNotEnoughSidePackets) {
"Same number of input side packets and output streams is required."));
}
TEST(SidePacketToStreamCalculator, WrongConfigWithNotEnoughOutputStreams) {
TEST(SidePacketToStreamCalculator, WrongConfig_NotEnoughOutputStreams) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -275,50 +248,7 @@ TEST(SidePacketToStreamCalculator, AtTick) {
tick_and_verify(/*at_timestamp=*/1025);
}
TEST(SidePacketToStreamCalculator, AtFirstTick) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
input_stream: "tick"
input_side_packet: "side_packet"
output_stream: "packet"
node {
calculator: "SidePacketToStreamCalculator"
input_stream: "TICK:tick"
input_side_packet: "side_packet"
output_stream: "AT_FIRST_TICK:packet"
}
)pb");
std::vector<Packet> output_packets;
tool::AddVectorSink("packet", &graph_config, &output_packets);
CalculatorGraph graph;
MP_ASSERT_OK(graph.Initialize(graph_config));
const int expected_value = 20;
const Timestamp kTestTimestamp(1234);
MP_ASSERT_OK(
graph.StartRun({{"side_packet", MakePacket<int>(expected_value)}}));
auto insert_tick = [&graph](Timestamp at_timestamp) {
MP_ASSERT_OK(graph.AddPacketToInputStream(
"tick", MakePacket<int>(/*doesn't matter*/ 1).At(at_timestamp)));
MP_ASSERT_OK(graph.WaitUntilIdle());
};
insert_tick(kTestTimestamp);
EXPECT_THAT(output_packets,
ElementsAre(PacketContainsTimestampAndPayload<int>(
Eq(kTestTimestamp), Eq(expected_value))));
output_packets.clear();
// Should not result in an additional output.
insert_tick(kTestTimestamp + 1);
EXPECT_THAT(output_packets, IsEmpty());
}
TEST(SidePacketToStreamCalculator, AtTickWithMultipleSidePackets) {
TEST(SidePacketToStreamCalculator, AtTick_MultipleSidePackets) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
@ -372,62 +302,6 @@ TEST(SidePacketToStreamCalculator, AtTickWithMultipleSidePackets) {
tick_and_verify(/*at_timestamp=*/1025);
}
TEST(SidePacketToStreamCalculator, AtFirstTickWithMultipleSidePackets) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(
input_stream: "tick"
input_side_packet: "side_packet0"
input_side_packet: "side_packet1"
output_stream: "packet0"
output_stream: "packet1"
node {
calculator: "SidePacketToStreamCalculator"
input_stream: "TICK:tick"
input_side_packet: "side_packet0"
input_side_packet: "side_packet1"
output_stream: "AT_FIRST_TICK:0:packet0"
output_stream: "AT_FIRST_TICK:1:packet1"
}
)pb");
std::vector<Packet> output_packets0;
tool::AddVectorSink("packet0", &graph_config, &output_packets0);
std::vector<Packet> output_packets1;
tool::AddVectorSink("packet1", &graph_config, &output_packets1);
CalculatorGraph graph;
MP_ASSERT_OK(graph.Initialize(graph_config));
const int expected_value0 = 20;
const int expected_value1 = 128;
const Timestamp kTestTimestamp(1234);
MP_ASSERT_OK(
graph.StartRun({{"side_packet0", MakePacket<int>(expected_value0)},
{"side_packet1", MakePacket<int>(expected_value1)}}));
auto insert_tick = [&graph](Timestamp at_timestamp) {
MP_ASSERT_OK(graph.AddPacketToInputStream(
"tick", MakePacket<int>(/*doesn't matter*/ 1).At(at_timestamp)));
MP_ASSERT_OK(graph.WaitUntilIdle());
};
insert_tick(kTestTimestamp);
EXPECT_THAT(output_packets0,
ElementsAre(PacketContainsTimestampAndPayload<int>(
Eq(kTestTimestamp), Eq(expected_value0))));
EXPECT_THAT(output_packets1,
ElementsAre(PacketContainsTimestampAndPayload<int>(
Eq(kTestTimestamp), Eq(expected_value1))));
output_packets0.clear();
output_packets1.clear();
// Should not result in an additional output.
insert_tick(kTestTimestamp + 1);
EXPECT_THAT(output_packets0, IsEmpty());
EXPECT_THAT(output_packets1, IsEmpty());
}
TEST(SidePacketToStreamCalculator, AtTimestamp) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
@ -460,7 +334,7 @@ TEST(SidePacketToStreamCalculator, AtTimestamp) {
EXPECT_EQ(expected_value, output_packets.back().Get<int>());
}
TEST(SidePacketToStreamCalculator, AtTimestampWithMultipleOutputs) {
TEST(SidePacketToStreamCalculator, AtTimestamp_MultipleOutputs) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
R"pb(

View File

@ -17,7 +17,6 @@
#include "mediapipe/calculators/core/split_vector_calculator.pb.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/formats/body_rig.pb.h"
#include "mediapipe/framework/formats/landmark.pb.h"
#include "mediapipe/framework/port/canonical_errors.h"
#include "mediapipe/framework/port/ret_check.h"
@ -197,18 +196,6 @@ class SplitLandmarkListCalculator
};
REGISTER_CALCULATOR(SplitLandmarkListCalculator);
class SplitJointListCalculator : public SplitListsCalculator<Joint, JointList> {
protected:
int ListSize(const JointList& list) const override {
return list.joint_size();
}
const Joint GetItem(const JointList& list, int idx) const override {
return list.joint(idx);
}
Joint* AddItem(JointList& list) const override { return list.add_joint(); }
};
REGISTER_CALCULATOR(SplitJointListCalculator);
} // namespace mediapipe
// NOLINTNEXTLINE

View File

@ -1,90 +0,0 @@
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/port/status.h"
namespace mediapipe {
namespace {
constexpr char kInputValueTag[] = "IN";
constexpr char kTickerTag[] = "TICK";
constexpr char kOutputTag[] = "OUT";
constexpr char kIndicationTag[] = "FLAG";
} // namespace
// For every packet received on the TICK stream, if the IN stream is not
// empty - emit its value as is as OUT. Otherwise output a default packet.
// FLAG outputs true every time the default value has been used. It does not
// output anything when IN has a value.
//
// Example config:
// node {
// calculator: "ValueOrDefaultCalculator"
// input_stream: "IN:sometimes_missing_value"
// input_stream: "TICK:clock"
// output_stream: "OUT:value_or_default"
// output_stream: "FLAG:used_default"
// input_side_packet: "default"
// }
//
// TODO: Consider adding an option for a default value as a input-stream
// instead of a side-packet, so it will enable using standard calculators
// instead of creating a new packet-generators. It will also allow a dynamic
// default value.
class ValueOrDefaultCalculator : public mediapipe::CalculatorBase {
public:
ValueOrDefaultCalculator() {}
ValueOrDefaultCalculator(const ValueOrDefaultCalculator&) = delete;
ValueOrDefaultCalculator& operator=(const ValueOrDefaultCalculator&) = delete;
static mediapipe::Status GetContract(mediapipe::CalculatorContract* cc) {
cc->Inputs().Tag(kInputValueTag).SetAny();
cc->Inputs().Tag(kTickerTag).SetAny();
cc->Outputs().Tag(kOutputTag).SetSameAs(&cc->Inputs().Tag(kInputValueTag));
cc->Outputs().Tag(kIndicationTag).Set<bool>();
cc->InputSidePackets().Index(0).SetSameAs(
&cc->Inputs().Tag(kInputValueTag));
return mediapipe::OkStatus();
}
mediapipe::Status Open(mediapipe::CalculatorContext* cc) override {
if (!cc->Inputs().Tag(kInputValueTag).Header().IsEmpty()) {
cc->Outputs()
.Tag(kOutputTag)
.SetHeader(cc->Inputs().Tag(kInputValueTag).Header());
}
default_ = cc->InputSidePackets().Index(0);
cc->SetOffset(mediapipe::TimestampDiff(0));
return mediapipe::OkStatus();
}
mediapipe::Status Process(mediapipe::CalculatorContext* cc) override {
// Output according to the TICK signal.
if (cc->Inputs().Tag(kTickerTag).IsEmpty()) {
return mediapipe::OkStatus();
}
if (!cc->Inputs().Tag(kInputValueTag).IsEmpty()) {
// Output the input as is:
cc->Outputs()
.Tag(kOutputTag)
.AddPacket(cc->Inputs().Tag(kInputValueTag).Value());
} else {
// Output default:
cc->Outputs()
.Tag(kOutputTag)
.AddPacket(default_.At(cc->InputTimestamp()));
cc->Outputs()
.Tag(kIndicationTag)
.Add(new bool(true), cc->InputTimestamp());
}
return mediapipe::OkStatus();
}
private:
// The default value to replicate every time there is no new value.
mediapipe::Packet default_;
};
REGISTER_CALCULATOR(ValueOrDefaultCalculator);
} // namespace mediapipe

View File

@ -1,240 +0,0 @@
#include <algorithm>
#include <cstdint>
#include <vector>
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/calculator_runner.h"
#include "mediapipe/framework/packet.h"
#include "mediapipe/framework/port/gmock.h"
#include "mediapipe/framework/port/gtest.h"
#include "mediapipe/framework/port/status_matchers.h"
namespace mediapipe {
namespace {
using ::testing::AllOf;
using ::testing::ContainerEq;
using ::testing::Each;
using ::testing::ElementsAre;
using ::testing::IsEmpty;
using ::testing::SizeIs;
using ::testing::Test;
const int kDefaultValue = 0;
// Utility to a create a mediapipe graph runner with the tested calculator and a
// default value, for all the tests.
class ValueOrDefaultRunner : public mediapipe::CalculatorRunner {
public:
ValueOrDefaultRunner()
: mediapipe::CalculatorRunner(R"pb(
calculator: "ValueOrDefaultCalculator"
input_stream: "IN:in"
input_stream: "TICK:tick"
input_side_packet: "default"
output_stream: "OUT:out"
output_stream: "FLAG:used_default"
)pb") {
MutableSidePackets()->Index(0) = mediapipe::MakePacket<int>(kDefaultValue);
}
// Utility to push inputs to the runner to the TICK stream, so we could easily
// tick.
void TickAt(int64_t time) {
// The type or value of the stream isn't relevant, we use just a bool.
MutableInputs()->Tag("TICK").packets.push_back(
mediapipe::Adopt(new bool(false)).At(mediapipe::Timestamp(time)));
}
// Utility to push the real inputs to the runner (IN stream).
void ProvideInput(int64_t time, int value) {
MutableInputs()->Tag("IN").packets.push_back(
mediapipe::Adopt(new int(value)).At(mediapipe::Timestamp(time)));
}
// Extracts the timestamps (as int64) of the output stream of the calculator.
std::vector<int64_t> GetOutputTimestamps() const {
std::vector<int64_t> timestamps;
for (const mediapipe::Packet& packet : Outputs().Tag("OUT").packets) {
timestamps.emplace_back(packet.Timestamp().Value());
}
return timestamps;
}
// Extracts the values from the output stream of the calculator.
std::vector<int> GetOutputValues() const {
std::vector<int> values;
for (const mediapipe::Packet& packet : Outputs().Tag("OUT").packets) {
values.emplace_back(packet.Get<int>());
}
return values;
}
// Extracts the timestamps (as int64) of the flag stream, which indicates on
// times without an input value (i.e. using the default value).
std::vector<int64_t> GetFlagTimestamps() const {
std::vector<int64_t> timestamps;
for (const mediapipe::Packet& packet : Outputs().Tag("FLAG").packets) {
timestamps.emplace_back(packet.Timestamp().Value());
}
return timestamps;
}
// Extracts the output from the flags stream (which should always be true).
std::vector<bool> GetFlagValues() const {
std::vector<bool> flags;
for (const mediapipe::Packet& packet : Outputs().Tag("FLAG").packets) {
flags.emplace_back(packet.Get<bool>());
}
return flags;
}
};
// To be used as input values:
std::vector<int> GetIntegersRange(int size) {
std::vector<int> result;
for (int i = 0; i < size; ++i) {
// We start with default-value+1 so it won't contain the default value.
result.push_back(kDefaultValue + 1 + i);
}
return result;
}
TEST(ValueOrDefaultCalculatorTest, NoInputs) {
// Check that when no real inputs are provided - we get the default value over
// and over, with the correct timestamps.
ValueOrDefaultRunner runner;
const std::vector<int64_t> ticks = {0, 1, 2, 5, 8, 12, 33, 231};
for (int tick : ticks) {
runner.TickAt(tick);
}
MP_EXPECT_OK(runner.Run());
// Make sure we get the right timestamps:
EXPECT_THAT(runner.GetOutputTimestamps(), ContainerEq(ticks));
// All should be default value:
EXPECT_THAT(runner.GetOutputValues(),
AllOf(Each(kDefaultValue), SizeIs(ticks.size())));
// We should get the default indication all the time:
EXPECT_THAT(runner.GetFlagTimestamps(), ContainerEq(ticks));
}
TEST(ValueOrDefaultCalculatorTest, NeverDefault) {
// Check that when we provide the inputs on time - we get them as outputs.
ValueOrDefaultRunner runner;
const std::vector<int64_t> ticks = {0, 1, 2, 5, 8, 12, 33, 231};
const std::vector<int> values = GetIntegersRange(ticks.size());
for (int i = 0; i < ticks.size(); ++i) {
runner.TickAt(ticks[i]);
runner.ProvideInput(ticks[i], values[i]);
}
MP_EXPECT_OK(runner.Run());
// Make sure we get the right timestamps:
EXPECT_THAT(runner.GetOutputTimestamps(), ContainerEq(ticks));
// Should get the inputs values:
EXPECT_THAT(runner.GetOutputValues(), ContainerEq(values));
// We should never get the default indication:
EXPECT_THAT(runner.GetFlagTimestamps(), IsEmpty());
}
TEST(ValueOrDefaultCalculatorTest, DefaultAndValues) {
// Check that when we provide inputs only part of the time - we get them, but
// defaults at the missing times.
// That's the usual use case for this calculator.
ValueOrDefaultRunner runner;
const std::vector<int64_t> ticks = {0, 1, 5, 8, 12, 231};
// Provide inputs only part of the ticks.
// Chosen so there will be defaults before the first input, between the
// inputs and after the last input.
const std::vector<int64_t> in_ticks = {/*0,*/ 1, 5, /*8,*/ 12, /*, 231*/};
const std::vector<int> in_values = GetIntegersRange(in_ticks.size());
for (int tick : ticks) {
runner.TickAt(tick);
}
for (int i = 0; i < in_ticks.size(); ++i) {
runner.ProvideInput(in_ticks[i], in_values[i]);
}
MP_EXPECT_OK(runner.Run());
// Make sure we get all the timestamps:
EXPECT_THAT(runner.GetOutputTimestamps(), ContainerEq(ticks));
// The timestamps of the flag should be exactly the ones not in in_ticks.
EXPECT_THAT(runner.GetFlagTimestamps(), ElementsAre(0, 8, 231));
// And the values are default in these times, and the input values for
// in_ticks.
EXPECT_THAT(
runner.GetOutputValues(),
ElementsAre(kDefaultValue, 1, 2, kDefaultValue, 3, kDefaultValue));
}
TEST(ValueOrDefaultCalculatorTest, TimestampsMismatch) {
// Check that when we provide the inputs not on time - we don't get them.
ValueOrDefaultRunner runner;
const std::vector<int64_t> ticks = {1, 2, 5, 8, 12, 33, 231};
// The timestamps chosen so it will be before the first tick, in between ticks
// and after the last one. Also - more inputs than ticks.
const std::vector<int64_t> in_ticks = {0, 3, 4, 6, 7, 9, 10,
11, 13, 14, 15, 16, 232};
const std::vector<int> in_values = GetIntegersRange(in_ticks.size());
for (int tick : ticks) {
runner.TickAt(tick);
}
for (int i = 0; i < in_ticks.size(); ++i) {
runner.ProvideInput(in_ticks[i], in_values[i]);
}
MP_EXPECT_OK(runner.Run());
// Non of the in_ticks should be inserted:
EXPECT_THAT(runner.GetOutputTimestamps(), ContainerEq(ticks));
EXPECT_THAT(runner.GetOutputValues(),
AllOf(Each(kDefaultValue), SizeIs(ticks.size())));
// All (and only) ticks should get the default.
EXPECT_THAT(runner.GetFlagTimestamps(), ContainerEq(ticks));
}
TEST(ValueOrDefaultCalculatorTest, FlagValue) {
// Since we anyway suppose that the Flag is a bool - there is nothing
// interesting to check, but we should check once that the value is the right
// (true) one.
ValueOrDefaultRunner runner;
runner.TickAt(0);
MP_EXPECT_OK(runner.Run());
EXPECT_THAT(runner.GetFlagValues(), ElementsAre(true));
}
TEST(ValueOrDefaultCalculatorTest, FullTest) {
// Make sure that nothing gets wrong with an input that have both right and
// wrong timestamps, some defaults etc.
ValueOrDefaultRunner runner;
const std::vector<int64_t> ticks = {1, 2, 5, 8, 12, 33, 231};
const std::vector<int64_t> in_ticks = {0, 2, 4, 6, 8, 9, 12, 33, 54, 232};
const std::vector<int> in_values = GetIntegersRange(in_ticks.size());
for (int tick : ticks) {
runner.TickAt(tick);
}
for (int i = 0; i < in_ticks.size(); ++i) {
runner.ProvideInput(in_ticks[i], in_values[i]);
}
MP_EXPECT_OK(runner.Run());
EXPECT_THAT(runner.GetOutputTimestamps(), ContainerEq(ticks));
// Calculated by hand:
EXPECT_THAT(
runner.GetOutputValues(),
ElementsAre(kDefaultValue, 2, kDefaultValue, 5, 7, 8, kDefaultValue));
EXPECT_THAT(runner.GetFlagTimestamps(), ElementsAre(1, 5, 231));
EXPECT_THAT(runner.GetFlagValues(), AllOf(Each(true), SizeIs(3)));
}
} // namespace
} // namespace mediapipe

View File

@ -97,7 +97,6 @@ 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,
)
@ -126,7 +125,6 @@ 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,
)
@ -153,11 +151,11 @@ 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": [
@ -204,7 +202,6 @@ 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": [],
@ -264,12 +261,9 @@ cc_library(
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"//mediapipe/gpu:scale_mode_cc_proto",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
] + select({
"//mediapipe/gpu:disable_gpu": [],
"//conditions:default": [
"//mediapipe/gpu:gl_base_hdr",
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gl_quad_renderer",
"//mediapipe/gpu:gl_simple_shaders",
@ -279,38 +273,6 @@ cc_library(
alwayslink = 1,
)
cc_test(
name = "image_transformation_calculator_test",
srcs = ["image_transformation_calculator_test.cc"],
data = ["//mediapipe/calculators/image/testdata:test_images"],
tags = [
"desktop_only_test",
],
deps = [
":image_transformation_calculator",
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:calculator_runner",
"//mediapipe/framework/deps:file_path",
"//mediapipe/framework/formats:image_format_cc_proto",
"//mediapipe/framework/formats:image_frame",
"//mediapipe/framework/formats:image_frame_opencv",
"//mediapipe/framework/port:gtest",
"//mediapipe/framework/port:opencv_imgcodecs",
"//mediapipe/framework/port:opencv_imgproc",
"//mediapipe/framework/port:parse_text_proto",
"//mediapipe/gpu:gpu_buffer_to_image_frame_calculator",
"//mediapipe/gpu:image_frame_to_gpu_buffer_calculator",
"//mediapipe/gpu:multi_pool",
"//third_party:opencv",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/flags:flag",
"@com_google_absl//absl/log:absl_check",
"@com_google_absl//absl/strings",
"@com_google_googletest//:gtest_main",
],
)
cc_library(
name = "image_cropping_calculator",
srcs = ["image_cropping_calculator.cc"],
@ -338,7 +300,6 @@ 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": [
@ -435,7 +396,6 @@ 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",
],
)
@ -460,8 +420,6 @@ 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",
],
@ -667,9 +625,9 @@ 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": [
@ -707,7 +665,6 @@ 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",
],
)
@ -730,7 +687,6 @@ cc_library(
"//mediapipe/gpu:gpu_buffer",
"//mediapipe/gpu:gpu_origin_cc_proto",
"//mediapipe/gpu:shader_util",
"@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
@ -788,7 +744,6 @@ cc_library(
":affine_transformation_runner_gl",
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gpu_buffer",
"//mediapipe/gpu:gpu_service",
],
}) + select({
"//mediapipe/framework/port:disable_opencv": [],

View File

@ -20,7 +20,6 @@
#include "Eigen/Core"
#include "Eigen/Geometry"
#include "Eigen/LU"
#include "absl/log/absl_log.h"
#include "absl/memory/memory.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
@ -54,10 +53,6 @@ bool IsMatrixVerticalFlipNeeded(GpuOrigin::Mode gpu_origin) {
#endif // __APPLE__
case GpuOrigin::TOP_LEFT:
return false;
default:
ABSL_LOG(ERROR) << "Incorrect GpuOrigin: "
<< static_cast<int>(gpu_origin);
return true;
}
}
@ -223,7 +218,7 @@ class GlTextureWarpAffineRunner
absl::StrCat(mediapipe::kMediaPipeFragmentShaderPreamble,
interpolation_def, kFragShader);
MP_ASSIGN_OR_RETURN(program_, create_fn(vert_src, frag_src));
ASSIGN_OR_RETURN(program_, create_fn(vert_src, frag_src));
auto create_custom_zero_fn = [&]() -> absl::StatusOr<Program> {
std::string custom_zero_border_mode_def = R"(
@ -236,10 +231,10 @@ class GlTextureWarpAffineRunner
};
#if GL_CLAMP_TO_BORDER_MAY_BE_SUPPORTED
if (!IsGlClampToBorderSupported(gl_helper_->GetGlContext())) {
MP_ASSIGN_OR_RETURN(program_custom_zero_, create_custom_zero_fn());
ASSIGN_OR_RETURN(program_custom_zero_, create_custom_zero_fn());
}
#else
MP_ASSIGN_OR_RETURN(program_custom_zero_, create_custom_zero_fn());
ASSIGN_OR_RETURN(program_custom_zero_, create_custom_zero_fn());
#endif // GL_CLAMP_TO_BORDER_MAY_BE_SUPPORTED
glGenFramebuffers(1, &framebuffer_);
@ -389,8 +384,6 @@ class GlTextureWarpAffineRunner
glActiveTexture(GL_TEXTURE0);
glBindTexture(GL_TEXTURE_2D, 0);
glFlush();
return absl::OkStatus();
}

View File

@ -59,7 +59,7 @@ class OpenCvRunner
const ImageFrame& input, const std::array<float, 16>& matrix,
const AffineTransformation::Size& size,
AffineTransformation::BorderMode border_mode) override {
// OpenCV warpAffine works in absolute coordinates, so the transform (which
// OpenCV warpAffine works in absolute coordinates, so the transfom (which
// accepts and produces relative coordinates) should be adjusted to first
// normalize coordinates and then scale them.
// clang-format off

View File

@ -15,7 +15,6 @@
#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"
@ -184,8 +183,8 @@ absl::Status BilateralFilterCalculator::Open(CalculatorContext* cc) {
sigma_color_ = options_.sigma_color();
sigma_space_ = options_.sigma_space();
ABSL_CHECK_GE(sigma_color_, 0.0);
ABSL_CHECK_GE(sigma_space_, 0.0);
CHECK_GE(sigma_color_, 0.0);
CHECK_GE(sigma_space_, 0.0);
if (!use_gpu_) sigma_color_ *= 255.0;
if (use_gpu_) {

View File

@ -12,7 +12,6 @@
// 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"
@ -26,8 +25,8 @@
namespace mediapipe {
namespace {
void SetColorChannel(int channel, uint8 value, cv::Mat* mat) {
ABSL_CHECK(mat->depth() == CV_8U);
ABSL_CHECK(channel < mat->channels());
CHECK(mat->depth() == CV_8U);
CHECK(channel < mat->channels());
const int step = mat->channels();
for (int r = 0; r < mat->rows; ++r) {
uint8* row_ptr = mat->ptr<uint8>(r);

View File

@ -64,8 +64,7 @@ class ImageCloneCalculator : public Node {
"GPU processing is disabled in build flags");
}
#else
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(
cc, /*request_gpu_as_optional=*/true));
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(cc));
#endif // MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
}
@ -73,6 +72,9 @@ class ImageCloneCalculator : public Node {
absl::Status Open(CalculatorContext* cc) override {
const auto& options = cc->Options<mediapipe::ImageCloneCalculatorOptions>();
output_on_gpu_ = options.output_on_gpu();
#if !MEDIAPIPE_DISABLE_GPU
MP_RETURN_IF_ERROR(gpu_helper_.Open(cc));
#endif // !MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
}
@ -102,10 +104,6 @@ class ImageCloneCalculator : public Node {
if (output_on_gpu_ && !input_on_gpu) {
#if !MEDIAPIPE_DISABLE_GPU
if (!gpu_initialized_) {
MP_RETURN_IF_ERROR(gpu_helper_.Open(cc));
gpu_initialized_ = true;
}
gpu_helper_.RunInGlContext([&output]() { output->ConvertToGpu(); });
#endif // !MEDIAPIPE_DISABLE_GPU
} else if (!output_on_gpu_ && input_on_gpu) {
@ -120,7 +118,6 @@ class ImageCloneCalculator : public Node {
bool output_on_gpu_;
#if !MEDIAPIPE_DISABLE_GPU
mediapipe::GlCalculatorHelper gpu_helper_;
bool gpu_initialized_ = false;
#endif // !MEDIAPIPE_DISABLE_GPU
};
MEDIAPIPE_REGISTER_NODE(ImageCloneCalculator);

View File

@ -16,7 +16,6 @@
#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"
@ -203,9 +202,8 @@ absl::Status ImageCroppingCalculator::ValidateBorderModeForGPU(
switch (options.border_mode()) {
case mediapipe::ImageCroppingCalculatorOptions::BORDER_ZERO:
ABSL_LOG(WARNING)
<< "BORDER_ZERO mode is not supported by GPU "
<< "implementation and will fall back into BORDER_REPLICATE";
LOG(WARNING) << "BORDER_ZERO mode is not supported by GPU "
<< "implementation and will fall back into BORDER_REPLICATE";
break;
case mediapipe::ImageCroppingCalculatorOptions::BORDER_REPLICATE:
break;

View File

@ -24,7 +24,7 @@ message ImageCroppingCalculatorOptions {
}
// Output texture buffer dimensions. The values defined in the options will be
// overridden by the WIDTH and HEIGHT input streams if they exist.
// overriden by the WIDTH and HEIGHT input streams if they exist.
optional int32 width = 1;
optional int32 height = 2;

View File

@ -77,7 +77,7 @@ absl::StatusOr<double> ComputeFocalLengthInPixels(int image_width,
return focal_length_pixels;
}
absl::StatusOr<ImageFileProperties> GetImageFileProperties(
absl::StatusOr<ImageFileProperties> GetImageFileProperites(
const std::string& image_bytes) {
easyexif::EXIFInfo result;
int code = result.parseFrom(image_bytes);
@ -92,11 +92,11 @@ absl::StatusOr<ImageFileProperties> GetImageFileProperties(
properties.set_focal_length_mm(result.FocalLength);
properties.set_focal_length_35mm(result.FocalLengthIn35mm);
MP_ASSIGN_OR_RETURN(auto focal_length_pixels,
ComputeFocalLengthInPixels(properties.image_width(),
properties.image_height(),
properties.focal_length_35mm(),
properties.focal_length_mm()));
ASSIGN_OR_RETURN(auto focal_length_pixels,
ComputeFocalLengthInPixels(properties.image_width(),
properties.image_height(),
properties.focal_length_35mm(),
properties.focal_length_mm()));
properties.set_focal_length_pixels(focal_length_pixels);
return properties;
@ -151,7 +151,7 @@ class ImageFilePropertiesCalculator : public CalculatorBase {
if (cc->InputSidePackets().NumEntries() == 1) {
const std::string& image_bytes =
cc->InputSidePackets().Index(0).Get<std::string>();
MP_ASSIGN_OR_RETURN(properties_, GetImageFileProperties(image_bytes));
ASSIGN_OR_RETURN(properties_, GetImageFileProperites(image_bytes));
read_properties_ = true;
}
@ -169,7 +169,7 @@ class ImageFilePropertiesCalculator : public CalculatorBase {
return absl::OkStatus();
}
const std::string& image_bytes = cc->Inputs().Index(0).Get<std::string>();
MP_ASSIGN_OR_RETURN(properties_, GetImageFileProperties(image_bytes));
ASSIGN_OR_RETURN(properties_, GetImageFileProperites(image_bytes));
read_properties_ = true;
}
if (read_properties_) {

View File

@ -12,7 +12,6 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include "absl/status/status.h"
#include "mediapipe/calculators/image/image_transformation_calculator.pb.h"
#include "mediapipe/calculators/image/rotation_mode.pb.h"
#include "mediapipe/framework/calculator_framework.h"
@ -28,7 +27,6 @@
#include "mediapipe/gpu/scale_mode.pb.h"
#if !MEDIAPIPE_DISABLE_GPU
#include "mediapipe/gpu/gl_base.h"
#include "mediapipe/gpu/gl_calculator_helper.h"
#include "mediapipe/gpu/gl_quad_renderer.h"
#include "mediapipe/gpu/gl_simple_shaders.h"
@ -62,42 +60,42 @@ constexpr char kVideoPrestreamTag[] = "VIDEO_PRESTREAM";
int RotationModeToDegrees(mediapipe::RotationMode_Mode rotation) {
switch (rotation) {
case mediapipe::RotationMode::UNKNOWN:
case mediapipe::RotationMode::ROTATION_0:
case mediapipe::RotationMode_Mode_UNKNOWN:
case mediapipe::RotationMode_Mode_ROTATION_0:
return 0;
case mediapipe::RotationMode::ROTATION_90:
case mediapipe::RotationMode_Mode_ROTATION_90:
return 90;
case mediapipe::RotationMode::ROTATION_180:
case mediapipe::RotationMode_Mode_ROTATION_180:
return 180;
case mediapipe::RotationMode::ROTATION_270:
case mediapipe::RotationMode_Mode_ROTATION_270:
return 270;
}
}
mediapipe::RotationMode_Mode DegreesToRotationMode(int degrees) {
switch (degrees) {
case 0:
return mediapipe::RotationMode::ROTATION_0;
return mediapipe::RotationMode_Mode_ROTATION_0;
case 90:
return mediapipe::RotationMode::ROTATION_90;
return mediapipe::RotationMode_Mode_ROTATION_90;
case 180:
return mediapipe::RotationMode::ROTATION_180;
return mediapipe::RotationMode_Mode_ROTATION_180;
case 270:
return mediapipe::RotationMode::ROTATION_270;
return mediapipe::RotationMode_Mode_ROTATION_270;
default:
return mediapipe::RotationMode::UNKNOWN;
return mediapipe::RotationMode_Mode_UNKNOWN;
}
}
mediapipe::ScaleMode_Mode ParseScaleMode(
mediapipe::ScaleMode_Mode scale_mode,
mediapipe::ScaleMode_Mode default_mode) {
switch (scale_mode) {
case mediapipe::ScaleMode::DEFAULT:
case mediapipe::ScaleMode_Mode_DEFAULT:
return default_mode;
case mediapipe::ScaleMode::STRETCH:
case mediapipe::ScaleMode_Mode_STRETCH:
return scale_mode;
case mediapipe::ScaleMode::FIT:
case mediapipe::ScaleMode_Mode_FIT:
return scale_mode;
case mediapipe::ScaleMode::FILL_AND_CROP:
case mediapipe::ScaleMode_Mode_FILL_AND_CROP:
return scale_mode;
default:
return default_mode;
@ -210,8 +208,6 @@ class ImageTransformationCalculator : public CalculatorBase {
bool use_gpu_ = false;
cv::Scalar padding_color_;
ImageTransformationCalculatorOptions::InterpolationMode interpolation_mode_;
#if !MEDIAPIPE_DISABLE_GPU
GlCalculatorHelper gpu_helper_;
std::unique_ptr<QuadRenderer> rgb_renderer_;
@ -347,11 +343,6 @@ absl::Status ImageTransformationCalculator::Open(CalculatorContext* cc) {
options_.padding_color().green(),
options_.padding_color().blue());
interpolation_mode_ = options_.interpolation_mode();
if (options_.interpolation_mode() ==
ImageTransformationCalculatorOptions::DEFAULT) {
interpolation_mode_ = ImageTransformationCalculatorOptions::LINEAR;
}
if (use_gpu_) {
#if !MEDIAPIPE_DISABLE_GPU
// Let the helper access the GL context information.
@ -466,48 +457,26 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
ComputeOutputDimensions(input_width, input_height, &output_width,
&output_height);
int opencv_interpolation_mode = cv::INTER_LINEAR;
if (output_width_ > 0 && output_height_ > 0) {
cv::Mat scaled_mat;
if (scale_mode_ == mediapipe::ScaleMode::STRETCH) {
if (interpolation_mode_ == ImageTransformationCalculatorOptions::LINEAR) {
// Use INTER_AREA for downscaling if interpolation mode is set to
// LINEAR.
if (input_mat.cols > output_width_ && input_mat.rows > output_height_) {
opencv_interpolation_mode = cv::INTER_AREA;
} else {
opencv_interpolation_mode = cv::INTER_LINEAR;
}
} else {
opencv_interpolation_mode = cv::INTER_NEAREST;
}
if (scale_mode_ == mediapipe::ScaleMode_Mode_STRETCH) {
int scale_flag =
input_mat.cols > output_width_ && input_mat.rows > output_height_
? cv::INTER_AREA
: cv::INTER_LINEAR;
cv::resize(input_mat, scaled_mat, cv::Size(output_width_, output_height_),
0, 0, opencv_interpolation_mode);
0, 0, scale_flag);
} else {
const float scale =
std::min(static_cast<float>(output_width_) / input_width,
static_cast<float>(output_height_) / input_height);
const int target_width = std::round(input_width * scale);
const int target_height = std::round(input_height * scale);
if (interpolation_mode_ == ImageTransformationCalculatorOptions::LINEAR) {
// Use INTER_AREA for downscaling if interpolation mode is set to
// LINEAR.
if (scale < 1.0f) {
opencv_interpolation_mode = cv::INTER_AREA;
} else {
opencv_interpolation_mode = cv::INTER_LINEAR;
}
} else {
opencv_interpolation_mode = cv::INTER_NEAREST;
}
if (scale_mode_ == mediapipe::ScaleMode::FIT) {
int scale_flag = scale < 1.0f ? cv::INTER_AREA : cv::INTER_LINEAR;
if (scale_mode_ == mediapipe::ScaleMode_Mode_FIT) {
cv::Mat intermediate_mat;
cv::resize(input_mat, intermediate_mat,
cv::Size(target_width, target_height), 0, 0,
opencv_interpolation_mode);
cv::Size(target_width, target_height), 0, 0, scale_flag);
const int top = (output_height_ - target_height) / 2;
const int bottom = output_height_ - target_height - top;
const int left = (output_width_ - target_width) / 2;
@ -519,7 +488,7 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
padding_color_);
} else {
cv::resize(input_mat, scaled_mat, cv::Size(target_width, target_height),
0, 0, opencv_interpolation_mode);
0, 0, scale_flag);
output_width = target_width;
output_height = target_height;
}
@ -545,17 +514,17 @@ absl::Status ImageTransformationCalculator::RenderCpu(CalculatorContext* cc) {
cv::warpAffine(input_mat, rotated_mat, rotation_mat, rotated_size);
} else {
switch (rotation_) {
case mediapipe::RotationMode::UNKNOWN:
case mediapipe::RotationMode::ROTATION_0:
case mediapipe::RotationMode_Mode_UNKNOWN:
case mediapipe::RotationMode_Mode_ROTATION_0:
rotated_mat = input_mat;
break;
case mediapipe::RotationMode::ROTATION_90:
case mediapipe::RotationMode_Mode_ROTATION_90:
cv::rotate(input_mat, rotated_mat, cv::ROTATE_90_COUNTERCLOCKWISE);
break;
case mediapipe::RotationMode::ROTATION_180:
case mediapipe::RotationMode_Mode_ROTATION_180:
cv::rotate(input_mat, rotated_mat, cv::ROTATE_180);
break;
case mediapipe::RotationMode::ROTATION_270:
case mediapipe::RotationMode_Mode_ROTATION_270:
cv::rotate(input_mat, rotated_mat, cv::ROTATE_90_CLOCKWISE);
break;
}
@ -592,7 +561,7 @@ absl::Status ImageTransformationCalculator::RenderGpu(CalculatorContext* cc) {
ComputeOutputDimensions(input_width, input_height, &output_width,
&output_height);
if (scale_mode_ == mediapipe::ScaleMode::FILL_AND_CROP) {
if (scale_mode_ == mediapipe::ScaleMode_Mode_FILL_AND_CROP) {
const float scale =
std::min(static_cast<float>(output_width_) / input_width,
static_cast<float>(output_height_) / input_height);
@ -656,24 +625,9 @@ absl::Status ImageTransformationCalculator::RenderGpu(CalculatorContext* cc) {
input.format());
gpu_helper_.BindFramebuffer(dst);
if (scale_mode_ == mediapipe::ScaleMode::FIT) {
// In kFit scale mode, the rendered quad does not fill the whole
// framebuffer, so clear it beforehand.
glClearColor(padding_color_[0] / 255.0f, padding_color_[1] / 255.0f,
padding_color_[2] / 255.0f, 1.0f);
glClear(GL_COLOR_BUFFER_BIT);
}
glActiveTexture(GL_TEXTURE1);
glBindTexture(src1.target(), src1.name());
if (interpolation_mode_ == ImageTransformationCalculatorOptions::NEAREST) {
// TODO: revert texture params.
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
}
MP_RETURN_IF_ERROR(renderer->GlRender(
src1.width(), src1.height(), dst.width(), dst.height(), scale_mode,
rotation, flip_horizontally_, flip_vertically_,
@ -698,8 +652,8 @@ void ImageTransformationCalculator::ComputeOutputDimensions(
if (output_width_ > 0 && output_height_ > 0) {
*output_width = output_width_;
*output_height = output_height_;
} else if (rotation_ == mediapipe::RotationMode::ROTATION_90 ||
rotation_ == mediapipe::RotationMode::ROTATION_270) {
} else if (rotation_ == mediapipe::RotationMode_Mode_ROTATION_90 ||
rotation_ == mediapipe::RotationMode_Mode_ROTATION_270) {
*output_width = input_height;
*output_height = input_width;
} else {
@ -712,9 +666,9 @@ void ImageTransformationCalculator::ComputeOutputLetterboxPadding(
int input_width, int input_height, int output_width, int output_height,
std::array<float, 4>* padding) {
padding->fill(0.f);
if (scale_mode_ == mediapipe::ScaleMode::FIT) {
if (rotation_ == mediapipe::RotationMode::ROTATION_90 ||
rotation_ == mediapipe::RotationMode::ROTATION_270) {
if (scale_mode_ == mediapipe::ScaleMode_Mode_FIT) {
if (rotation_ == mediapipe::RotationMode_Mode_ROTATION_90 ||
rotation_ == mediapipe::RotationMode_Mode_ROTATION_270) {
std::swap(input_width, input_height);
}
const float input_aspect_ratio =

View File

@ -46,24 +46,12 @@ message ImageTransformationCalculatorOptions {
optional bool flip_horizontally = 5 [default = false];
// Scale mode.
optional ScaleMode.Mode scale_mode = 6;
// Padding type. This option is only used when the scale mode is FIT. If set
// to true (default), a constant border is added with color specified by
// padding_color. If set to false, a border is added by replicating edge
// pixels (only supported for CPU).
// Padding type. This option is only used when the scale mode is FIT.
// Default is to use BORDER_CONSTANT. If set to false, it will use
// BORDER_REPLICATE instead.
optional bool constant_padding = 7 [default = true];
// The color for the padding. This option is only used when the scale mode is
// FIT. Default is black.
// FIT. Default is black. This is for CPU only.
optional Color padding_color = 8;
// Interpolation method to use. Note that on CPU when LINEAR is specified,
// INTER_LINEAR is used for upscaling and INTER_AREA is used for downscaling.
enum InterpolationMode {
DEFAULT = 0;
LINEAR = 1;
NEAREST = 2;
}
// Mode DEFAULT will use LINEAR interpolation.
optional InterpolationMode interpolation_mode = 9;
}

View File

@ -1,430 +0,0 @@
#include <algorithm>
#include <string>
#include <utility>
#include <vector>
#include "absl/container/flat_hash_set.h"
#include "absl/flags/flag.h"
#include "absl/log/absl_check.h"
#include "absl/strings/substitute.h"
#include "mediapipe/framework/calculator.pb.h"
#include "mediapipe/framework/calculator_framework.h"
#include "mediapipe/framework/calculator_runner.h"
#include "mediapipe/framework/deps/file_path.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/gtest.h"
#include "mediapipe/framework/port/opencv_imgcodecs_inc.h"
#include "mediapipe/framework/port/opencv_imgproc_inc.h"
#include "mediapipe/framework/port/parse_text_proto.h"
#include "mediapipe/gpu/multi_pool.h"
#include "testing/base/public/gmock.h"
#include "testing/base/public/googletest.h"
#include "testing/base/public/gunit.h"
#include "third_party/OpenCV/core.hpp" // IWYU pragma: keep
#include "third_party/OpenCV/core/base.hpp"
#include "third_party/OpenCV/core/mat.hpp"
#include "third_party/OpenCV/core/types.hpp"
namespace mediapipe {
namespace {
absl::flat_hash_set<int> computeUniqueValues(const cv::Mat& mat) {
// Compute the unique values in cv::Mat
absl::flat_hash_set<int> unique_values;
for (int i = 0; i < mat.rows; i++) {
for (int j = 0; j < mat.cols; j++) {
unique_values.insert(mat.at<unsigned char>(i, j));
}
}
return unique_values;
}
TEST(ImageTransformationCalculatorTest, NearestNeighborResizing) {
cv::Mat input_mat;
cv::cvtColor(cv::imread(file::JoinPath("./",
"/mediapipe/calculators/"
"image/testdata/binary_mask.png")),
input_mat, cv::COLOR_BGR2GRAY);
Packet input_image_packet = MakePacket<ImageFrame>(
ImageFormat::GRAY8, input_mat.size().width, input_mat.size().height);
input_mat.copyTo(formats::MatView(&(input_image_packet.Get<ImageFrame>())));
std::vector<std::pair<int, int>> output_dims{
{256, 333}, {512, 512}, {1024, 1024}};
for (auto& output_dim : output_dims) {
Packet input_output_dim_packet =
MakePacket<std::pair<int, int>>(output_dim);
std::vector<std::string> scale_modes{"FIT", "STRETCH"};
for (const auto& scale_mode : scale_modes) {
CalculatorGraphConfig::Node node_config =
ParseTextProtoOrDie<CalculatorGraphConfig::Node>(
absl::Substitute(R"(
calculator: "ImageTransformationCalculator"
input_stream: "IMAGE:input_image"
input_stream: "OUTPUT_DIMENSIONS:image_size"
output_stream: "IMAGE:output_image"
options: {
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
scale_mode: $0
interpolation_mode: NEAREST
}
})",
scale_mode));
CalculatorRunner runner(node_config);
runner.MutableInputs()->Tag("IMAGE").packets.push_back(
input_image_packet.At(Timestamp(0)));
runner.MutableInputs()
->Tag("OUTPUT_DIMENSIONS")
.packets.push_back(input_output_dim_packet.At(Timestamp(0)));
ABSL_QCHECK_OK(runner.Run());
const auto& outputs = runner.Outputs();
ABSL_QCHECK_EQ(outputs.NumEntries(), 1);
const std::vector<Packet>& packets = outputs.Tag("IMAGE").packets;
ABSL_QCHECK_EQ(packets.size(), 1);
const auto& result = packets[0].Get<ImageFrame>();
ASSERT_EQ(output_dim.first, result.Width());
ASSERT_EQ(output_dim.second, result.Height());
auto unique_input_values = computeUniqueValues(input_mat);
auto unique_output_values =
computeUniqueValues(formats::MatView(&result));
EXPECT_THAT(unique_input_values,
::testing::ContainerEq(unique_output_values));
}
}
}
TEST(ImageTransformationCalculatorTest,
NearestNeighborResizingWorksForFloatInput) {
cv::Mat input_mat;
cv::cvtColor(cv::imread(file::JoinPath("./",
"/mediapipe/calculators/"
"image/testdata/binary_mask.png")),
input_mat, cv::COLOR_BGR2GRAY);
Packet input_image_packet = MakePacket<ImageFrame>(
ImageFormat::VEC32F1, input_mat.size().width, input_mat.size().height);
cv::Mat packet_mat_view =
formats::MatView(&(input_image_packet.Get<ImageFrame>()));
input_mat.convertTo(packet_mat_view, CV_32FC1, 1 / 255.f);
std::vector<std::pair<int, int>> output_dims{
{256, 333}, {512, 512}, {1024, 1024}};
for (auto& output_dim : output_dims) {
Packet input_output_dim_packet =
MakePacket<std::pair<int, int>>(output_dim);
std::vector<std::string> scale_modes{"FIT", "STRETCH"};
for (const auto& scale_mode : scale_modes) {
CalculatorGraphConfig::Node node_config =
ParseTextProtoOrDie<CalculatorGraphConfig::Node>(
absl::Substitute(R"(
calculator: "ImageTransformationCalculator"
input_stream: "IMAGE:input_image"
input_stream: "OUTPUT_DIMENSIONS:image_size"
output_stream: "IMAGE:output_image"
options: {
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
scale_mode: $0
interpolation_mode: NEAREST
}
})",
scale_mode));
CalculatorRunner runner(node_config);
runner.MutableInputs()->Tag("IMAGE").packets.push_back(
input_image_packet.At(Timestamp(0)));
runner.MutableInputs()
->Tag("OUTPUT_DIMENSIONS")
.packets.push_back(input_output_dim_packet.At(Timestamp(0)));
ABSL_QCHECK_OK(runner.Run());
const auto& outputs = runner.Outputs();
ABSL_QCHECK_EQ(outputs.NumEntries(), 1);
const std::vector<Packet>& packets = outputs.Tag("IMAGE").packets;
ABSL_QCHECK_EQ(packets.size(), 1);
const auto& result = packets[0].Get<ImageFrame>();
ASSERT_EQ(output_dim.first, result.Width());
ASSERT_EQ(output_dim.second, result.Height());
auto unique_input_values = computeUniqueValues(packet_mat_view);
auto unique_output_values =
computeUniqueValues(formats::MatView(&result));
EXPECT_THAT(unique_input_values,
::testing::ContainerEq(unique_output_values));
}
}
}
TEST(ImageTransformationCalculatorTest, NearestNeighborResizingGpu) {
cv::Mat input_mat;
cv::cvtColor(cv::imread(file::JoinPath("./",
"/mediapipe/calculators/"
"image/testdata/binary_mask.png")),
input_mat, cv::COLOR_BGR2RGBA);
std::vector<std::pair<int, int>> output_dims{
{256, 333}, {512, 512}, {1024, 1024}};
for (auto& output_dim : output_dims) {
std::vector<std::string> scale_modes{"FIT"}; //, "STRETCH"};
for (const auto& scale_mode : scale_modes) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
absl::Substitute(R"(
input_stream: "input_image"
input_stream: "image_size"
output_stream: "output_image"
node {
calculator: "ImageFrameToGpuBufferCalculator"
input_stream: "input_image"
output_stream: "input_image_gpu"
}
node {
calculator: "ImageTransformationCalculator"
input_stream: "IMAGE_GPU:input_image_gpu"
input_stream: "OUTPUT_DIMENSIONS:image_size"
output_stream: "IMAGE_GPU:output_image_gpu"
options: {
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
scale_mode: $0
interpolation_mode: NEAREST
}
}
}
node {
calculator: "GpuBufferToImageFrameCalculator"
input_stream: "output_image_gpu"
output_stream: "output_image"
})",
scale_mode));
ImageFrame input_image(ImageFormat::SRGBA, input_mat.size().width,
input_mat.size().height);
input_mat.copyTo(formats::MatView(&input_image));
std::vector<Packet> output_image_packets;
tool::AddVectorSink("output_image", &graph_config, &output_image_packets);
CalculatorGraph graph(graph_config);
ABSL_QCHECK_OK(graph.StartRun({}));
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"input_image",
MakePacket<ImageFrame>(std::move(input_image)).At(Timestamp(0))));
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"image_size",
MakePacket<std::pair<int, int>>(output_dim).At(Timestamp(0))));
ABSL_QCHECK_OK(graph.WaitUntilIdle());
ABSL_QCHECK_EQ(output_image_packets.size(), 1);
const auto& output_image = output_image_packets[0].Get<ImageFrame>();
ASSERT_EQ(output_dim.first, output_image.Width());
ASSERT_EQ(output_dim.second, output_image.Height());
auto unique_input_values = computeUniqueValues(input_mat);
auto unique_output_values =
computeUniqueValues(formats::MatView(&output_image));
EXPECT_THAT(unique_input_values,
::testing::ContainerEq(unique_output_values));
}
}
}
TEST(ImageTransformationCalculatorTest,
NearestNeighborResizingWorksForFloatTexture) {
cv::Mat input_mat;
cv::cvtColor(cv::imread(file::JoinPath("./",
"/mediapipe/calculators/"
"image/testdata/binary_mask.png")),
input_mat, cv::COLOR_BGR2GRAY);
Packet input_image_packet = MakePacket<ImageFrame>(
ImageFormat::VEC32F1, input_mat.size().width, input_mat.size().height);
cv::Mat packet_mat_view =
formats::MatView(&(input_image_packet.Get<ImageFrame>()));
input_mat.convertTo(packet_mat_view, CV_32FC1, 1 / 255.f);
std::vector<std::pair<int, int>> output_dims{
{256, 333}, {512, 512}, {1024, 1024}};
for (auto& output_dim : output_dims) {
std::vector<std::string> scale_modes{"FIT"}; //, "STRETCH"};
for (const auto& scale_mode : scale_modes) {
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(
absl::Substitute(R"(
input_stream: "input_image"
input_stream: "image_size"
output_stream: "output_image"
node {
calculator: "ImageFrameToGpuBufferCalculator"
input_stream: "input_image"
output_stream: "input_image_gpu"
}
node {
calculator: "ImageTransformationCalculator"
input_stream: "IMAGE_GPU:input_image_gpu"
input_stream: "OUTPUT_DIMENSIONS:image_size"
output_stream: "IMAGE_GPU:output_image_gpu"
options: {
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
scale_mode: $0
interpolation_mode: NEAREST
}
}
}
node {
calculator: "GpuBufferToImageFrameCalculator"
input_stream: "output_image_gpu"
output_stream: "output_image"
})",
scale_mode));
std::vector<Packet> output_image_packets;
tool::AddVectorSink("output_image", &graph_config, &output_image_packets);
CalculatorGraph graph(graph_config);
ABSL_QCHECK_OK(graph.StartRun({}));
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"input_image", input_image_packet.At(Timestamp(0))));
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"image_size",
MakePacket<std::pair<int, int>>(output_dim).At(Timestamp(0))));
ABSL_QCHECK_OK(graph.WaitUntilIdle());
ABSL_QCHECK_EQ(output_image_packets.size(), 1);
const auto& output_image = output_image_packets[0].Get<ImageFrame>();
ASSERT_EQ(output_dim.first, output_image.Width());
ASSERT_EQ(output_dim.second, output_image.Height());
auto unique_input_values = computeUniqueValues(packet_mat_view);
auto unique_output_values =
computeUniqueValues(formats::MatView(&output_image));
EXPECT_THAT(unique_input_values,
::testing::ContainerEq(unique_output_values));
}
}
}
TEST(ImageTransformationCalculatorTest, FitScalingClearsBackground) {
// Regression test for not clearing the background in FIT scaling mode.
// First scale an all-red (=r) image from 8x4 to 8x4, so it's a plain copy:
// rrrrrrrr
// rrrrrrrr
// rrrrrrrr
// rrrrrrrr
// Then scale an all-blue image from 4x4 to 8x4 in FIT mode. This should
// introduce dark yellow (=y) letterboxes left and right due to padding_color:
// yybbbbyy
// yybbbbyy
// yybbbbyy
// yybbbbyy
// We make sure that the all-red buffer gets reused. Without clearing the
// background, the blue (=b) image will have red letterboxes:
// rrbbbbrr
// rrbbbbrr
// rrbbbbrr
// rrbbbbrr
constexpr int kSmall = 4, kLarge = 8;
ImageFrame input_image_red(ImageFormat::SRGBA, kLarge, kSmall);
cv::Mat input_image_red_mat = formats::MatView(&input_image_red);
input_image_red_mat = cv::Scalar(255, 0, 0, 255);
ImageFrame input_image_blue(ImageFormat::SRGBA, kSmall, kSmall);
cv::Mat input_image_blue_mat = formats::MatView(&input_image_blue);
input_image_blue_mat = cv::Scalar(0, 0, 255, 255);
Packet input_image_red_packet =
MakePacket<ImageFrame>(std::move(input_image_red));
Packet input_image_blue_packet =
MakePacket<ImageFrame>(std::move(input_image_blue));
CalculatorGraphConfig graph_config =
ParseTextProtoOrDie<CalculatorGraphConfig>(absl::Substitute(
R"pb(
input_stream: "input_image"
output_stream: "output_image"
node {
calculator: "ImageFrameToGpuBufferCalculator"
input_stream: "input_image"
output_stream: "input_image_gpu"
}
node {
calculator: "ImageTransformationCalculator"
input_stream: "IMAGE_GPU:input_image_gpu"
output_stream: "IMAGE_GPU:output_image_gpu"
options: {
[mediapipe.ImageTransformationCalculatorOptions.ext]: {
scale_mode: FIT
output_width: $0,
output_height: $1,
padding_color: { red: 128, green: 128, blue: 0 }
}
}
}
node {
calculator: "GpuBufferToImageFrameCalculator"
input_stream: "output_image_gpu"
output_stream: "output_image"
})pb",
kLarge, kSmall));
std::vector<Packet> output_image_packets;
tool::AddVectorSink("output_image", &graph_config, &output_image_packets);
CalculatorGraph graph(graph_config);
ABSL_QCHECK_OK(graph.StartRun({}));
// Send the red image multiple times to cause the GPU pool to actually use
// a pool.
int num_red_packets =
std::max(kDefaultMultiPoolOptions.min_requests_before_pool, 1);
for (int n = 0; n < num_red_packets; ++n) {
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"input_image", input_image_red_packet.At(Timestamp(n))));
}
ABSL_QCHECK_OK(graph.AddPacketToInputStream(
"input_image", input_image_blue_packet.At(Timestamp(num_red_packets))));
ABSL_QCHECK_OK(graph.WaitUntilIdle());
ABSL_QCHECK_EQ(output_image_packets.size(), num_red_packets + 1);
const auto& output_image_red = output_image_packets[0].Get<ImageFrame>();
const auto& output_image_blue =
output_image_packets[num_red_packets].Get<ImageFrame>();
ABSL_QCHECK_EQ(output_image_red.Width(), kLarge);
ABSL_QCHECK_EQ(output_image_red.Height(), kSmall);
ABSL_QCHECK_EQ(output_image_blue.Width(), kLarge);
ABSL_QCHECK_EQ(output_image_blue.Height(), kSmall);
cv::Mat output_image_blue_mat = formats::MatView(&output_image_blue);
ImageFrame expected_image_blue(ImageFormat::SRGBA, kLarge, kSmall);
cv::Mat expected_image_blue_mat = formats::MatView(&expected_image_blue);
expected_image_blue_mat = cv::Scalar(128, 128, 0, 255);
cv::Rect rect((kLarge - kSmall) / 2, 0, kSmall, kSmall);
cv::rectangle(expected_image_blue_mat, rect, cv::Scalar(0, 0, 255, 255),
cv::FILLED);
EXPECT_EQ(cv::sum(cv::sum(output_image_blue_mat != expected_image_blue_mat)),
cv::Scalar(0));
}
} // namespace
} // namespace mediapipe

View File

@ -12,7 +12,6 @@
// 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"
@ -62,7 +61,7 @@ absl::Status OpenCvImageEncoderCalculator::Open(CalculatorContext* cc) {
absl::Status OpenCvImageEncoderCalculator::Process(CalculatorContext* cc) {
const ImageFrame& image_frame = cc->Inputs().Index(0).Get<ImageFrame>();
ABSL_CHECK_EQ(1, image_frame.ByteDepth());
CHECK_EQ(1, image_frame.ByteDepth());
std::unique_ptr<OpenCvImageEncoderCalculatorResults> encoded_result =
absl::make_unique<OpenCvImageEncoderCalculatorResults>();

View File

@ -18,8 +18,6 @@
#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"
@ -295,7 +293,7 @@ absl::Status ScaleImageCalculator::InitializeFrameInfo(CalculatorContext* cc) {
header->width = output_width_;
header->height = output_height_;
header->format = output_format_;
ABSL_LOG(INFO) << "OUTPUTTING HEADER on stream";
LOG(INFO) << "OUTPUTTING HEADER on stream";
cc->Outputs()
.Tag("VIDEO_HEADER")
.Add(header.release(), Timestamp::PreStream());
@ -395,11 +393,10 @@ absl::Status ScaleImageCalculator::Open(CalculatorContext* cc) {
.SetHeader(Adopt(output_header.release()));
has_header_ = true;
} else {
ABSL_LOG(WARNING)
<< "Stream had a VideoHeader which didn't have sufficient "
"information. "
"Dropping VideoHeader and trying to deduce needed "
"information.";
LOG(WARNING) << "Stream had a VideoHeader which didn't have sufficient "
"information. "
"Dropping VideoHeader and trying to deduce needed "
"information.";
input_width_ = 0;
input_height_ = 0;
if (!options_.has_input_format()) {
@ -510,7 +507,7 @@ absl::Status ScaleImageCalculator::ValidateImageFrame(
absl::Status ScaleImageCalculator::ValidateYUVImage(CalculatorContext* cc,
const YUVImage& yuv_image) {
ABSL_CHECK_EQ(input_format_, ImageFormat::YCBCR420P);
CHECK_EQ(input_format_, ImageFormat::YCBCR420P);
if (!has_header_) {
if (input_width_ != yuv_image.width() ||
input_height_ != yuv_image.height()) {

View File

@ -18,7 +18,6 @@
#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"
@ -41,10 +40,10 @@ 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) {
ABSL_CHECK(crop_width);
ABSL_CHECK(crop_height);
ABSL_CHECK(col_start);
ABSL_CHECK(row_start);
CHECK(crop_width);
CHECK(crop_height);
CHECK(col_start);
CHECK(row_start);
double min_aspect_ratio_q = 0.0;
double max_aspect_ratio_q = 0.0;
@ -84,8 +83,8 @@ absl::Status FindCropDimensions(int input_width, int input_height, //
}
}
ABSL_CHECK_LE(*crop_width, input_width);
ABSL_CHECK_LE(*crop_height, input_height);
CHECK_LE(*crop_width, input_width);
CHECK_LE(*crop_height, input_height);
return absl::OkStatus();
}
@ -97,8 +96,8 @@ absl::Status FindOutputDimensions(int input_width, //
bool preserve_aspect_ratio, //
int scale_to_multiple_of, //
int* output_width, int* output_height) {
ABSL_CHECK(output_width);
ABSL_CHECK(output_height);
CHECK(output_width);
CHECK(output_height);
if (target_max_area > 0 && input_width * input_height > target_max_area) {
preserve_aspect_ratio = true;

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@ -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"
@ -117,8 +117,7 @@ absl::Status SegmentationSmoothingCalculator::GetContract(
cc->Outputs().Tag(kOutputMaskTag).Set<Image>();
#if !MEDIAPIPE_DISABLE_GPU
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(
cc, /*request_gpu_as_optional=*/true));
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(cc));
#endif // !MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
@ -131,6 +130,10 @@ absl::Status SegmentationSmoothingCalculator::Open(CalculatorContext* cc) {
cc->Options<mediapipe::SegmentationSmoothingCalculatorOptions>();
combine_with_previous_ratio_ = options.combine_with_previous_ratio();
#if !MEDIAPIPE_DISABLE_GPU
MP_RETURN_IF_ERROR(gpu_helper_.Open(cc));
#endif // !MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
}
@ -151,9 +154,6 @@ absl::Status SegmentationSmoothingCalculator::Process(CalculatorContext* cc) {
if (use_gpu) {
#if !MEDIAPIPE_DISABLE_GPU
if (!gpu_initialized_) {
MP_RETURN_IF_ERROR(gpu_helper_.Open(cc));
}
MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext([this, cc]() -> absl::Status {
if (!gpu_initialized_) {
MP_RETURN_IF_ERROR(GlSetup(cc));
@ -178,12 +178,10 @@ absl::Status SegmentationSmoothingCalculator::Process(CalculatorContext* cc) {
absl::Status SegmentationSmoothingCalculator::Close(CalculatorContext* cc) {
#if !MEDIAPIPE_DISABLE_GPU
if (gpu_initialized_) {
gpu_helper_.RunInGlContext([this] {
if (program_) glDeleteProgram(program_);
program_ = 0;
});
}
gpu_helper_.RunInGlContext([this] {
if (program_) glDeleteProgram(program_);
program_ = 0;
});
#endif // !MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
@ -275,7 +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()) {
ABSL_LOG(ERROR) << "Warning: mixing input format types. ";
LOG(ERROR) << "Warning: mixing input format types. ";
}
auto previous_texture = gpu_helper_.CreateSourceTexture(previous_frame);

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@ -14,7 +14,6 @@
#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"
@ -170,7 +169,7 @@ void RunTest(bool use_gpu, float mix_ratio, cv::Mat& test_result) {
}
}
} else {
ABSL_LOG(ERROR) << "invalid ratio";
LOG(ERROR) << "invalid ratio";
}
}

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@ -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"
@ -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)) {
ABSL_LOG(ERROR) << "Only 3 or 4 channel 8-bit input image supported";
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)) {
ABSL_LOG(ERROR) << "Only RGB or RGBA input image supported";
LOG(ERROR) << "Only RGB or RGBA input image supported";
}
auto input_texture = gpu_helper_.CreateSourceTexture(input_frame);

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@ -18,7 +18,6 @@ licenses(["notice"])
filegroup(
name = "test_images",
srcs = [
"binary_mask.png",
"dino.jpg",
"dino_quality_50.jpg",
"dino_quality_80.jpg",

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@ -36,7 +36,6 @@
#if !MEDIAPIPE_DISABLE_GPU
#include "mediapipe/gpu/gl_calculator_helper.h"
#include "mediapipe/gpu/gpu_buffer.h"
#include "mediapipe/gpu/gpu_service.h"
#endif // !MEDIAPIPE_DISABLE_GPU
namespace mediapipe {
@ -80,8 +79,8 @@ class WarpAffineRunnerHolder<ImageFrame> {
}
absl::StatusOr<RunnerType*> GetRunner() {
if (!runner_) {
MP_ASSIGN_OR_RETURN(
runner_, CreateAffineTransformationOpenCvRunner(interpolation_));
ASSIGN_OR_RETURN(runner_,
CreateAffineTransformationOpenCvRunner(interpolation_));
}
return runner_.get();
}
@ -107,12 +106,10 @@ class WarpAffineRunnerHolder<mediapipe::GpuBuffer> {
cc->Options<mediapipe::WarpAffineCalculatorOptions>().interpolation());
return gl_helper_->Open(cc);
}
absl::StatusOr<RunnerType*> GetRunner() {
if (!runner_) {
MP_ASSIGN_OR_RETURN(
runner_, CreateAffineTransformationGlRunner(gl_helper_, gpu_origin_,
interpolation_));
ASSIGN_OR_RETURN(runner_, CreateAffineTransformationGlRunner(
gl_helper_, gpu_origin_, interpolation_));
}
return runner_.get();
}
@ -144,10 +141,7 @@ class WarpAffineRunnerHolder<mediapipe::Image> {
MP_RETURN_IF_ERROR(cpu_holder_.Open(cc));
#endif // !MEDIAPIPE_DISABLE_OPENCV
#if !MEDIAPIPE_DISABLE_GPU
if (cc->Service(kGpuService).IsAvailable()) {
MP_RETURN_IF_ERROR(gpu_holder_.Open(cc));
gpu_holder_initialized_ = true;
}
MP_RETURN_IF_ERROR(gpu_holder_.Open(cc));
#endif // !MEDIAPIPE_DISABLE_GPU
return absl::OkStatus();
}
@ -157,28 +151,24 @@ class WarpAffineRunnerHolder<mediapipe::Image> {
AffineTransformation::BorderMode border_mode) override {
if (input.UsesGpu()) {
#if !MEDIAPIPE_DISABLE_GPU
if (!gpu_holder_initialized_) {
return absl::UnavailableError("GPU support is not available");
}
MP_ASSIGN_OR_RETURN(auto* runner, gpu_holder_.GetRunner());
MP_ASSIGN_OR_RETURN(
auto result,
runner->Run(input.GetGpuBuffer(), matrix, size, border_mode));
ASSIGN_OR_RETURN(auto* runner, gpu_holder_.GetRunner());
ASSIGN_OR_RETURN(auto result, runner->Run(input.GetGpuBuffer(), matrix,
size, border_mode));
return mediapipe::Image(*result);
#else
return absl::UnavailableError("GPU support is disabled");
#endif // !MEDIAPIPE_DISABLE_GPU
}
#if !MEDIAPIPE_DISABLE_OPENCV
MP_ASSIGN_OR_RETURN(auto* runner, cpu_holder_.GetRunner());
ASSIGN_OR_RETURN(auto* runner, cpu_holder_.GetRunner());
const auto& frame_ptr = input.GetImageFrameSharedPtr();
// Wrap image into image frame.
const ImageFrame image_frame(frame_ptr->Format(), frame_ptr->Width(),
frame_ptr->Height(), frame_ptr->WidthStep(),
const_cast<uint8_t*>(frame_ptr->PixelData()),
[](uint8_t* data){});
MP_ASSIGN_OR_RETURN(auto result,
runner->Run(image_frame, matrix, size, border_mode));
ASSIGN_OR_RETURN(auto result,
runner->Run(image_frame, matrix, size, border_mode));
return mediapipe::Image(std::make_shared<ImageFrame>(std::move(result)));
#else
return absl::UnavailableError("OpenCV support is disabled");
@ -191,7 +181,6 @@ class WarpAffineRunnerHolder<mediapipe::Image> {
#endif // !MEDIAPIPE_DISABLE_OPENCV
#if !MEDIAPIPE_DISABLE_GPU
WarpAffineRunnerHolder<mediapipe::GpuBuffer> gpu_holder_;
bool gpu_holder_initialized_ = false;
#endif // !MEDIAPIPE_DISABLE_GPU
};
@ -205,31 +194,27 @@ class WarpAffineCalculatorImpl : public mediapipe::api2::NodeImpl<InterfaceT> {
static absl::Status UpdateContract(CalculatorContract* cc) {
if constexpr (std::is_same_v<InterfaceT, WarpAffineCalculatorGpu> ||
std::is_same_v<InterfaceT, WarpAffineCalculator>) {
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(
cc, /*request_gpu_as_optional=*/true));
MP_RETURN_IF_ERROR(mediapipe::GlCalculatorHelper::UpdateContract(cc));
}
return absl::OkStatus();
}
#endif // !MEDIAPIPE_DISABLE_GPU
absl::Status Open(CalculatorContext* cc) override { return holder_.Open(cc); }
absl::Status Process(CalculatorContext* cc) override {
if (InterfaceT::kInImage(cc).IsEmpty() ||
InterfaceT::kMatrix(cc).IsEmpty() ||
InterfaceT::kOutputSize(cc).IsEmpty()) {
return absl::OkStatus();
}
if (!holder_initialized_) {
MP_RETURN_IF_ERROR(holder_.Open(cc));
holder_initialized_ = true;
}
const std::array<float, 16>& transform = *InterfaceT::kMatrix(cc);
auto [out_width, out_height] = *InterfaceT::kOutputSize(cc);
AffineTransformation::Size output_size;
output_size.width = out_width;
output_size.height = out_height;
MP_ASSIGN_OR_RETURN(auto* runner, holder_.GetRunner());
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(auto* runner, holder_.GetRunner());
ASSIGN_OR_RETURN(
auto result,
runner->Run(
*InterfaceT::kInImage(cc), transform, output_size,
@ -243,7 +228,6 @@ class WarpAffineCalculatorImpl : public mediapipe::api2::NodeImpl<InterfaceT> {
private:
WarpAffineRunnerHolder<typename decltype(InterfaceT::kInImage)::PayloadT>
holder_;
bool holder_initialized_ = false;
};
} // namespace

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@ -284,7 +284,7 @@ std::array<float, 16> GetMatrix(cv::Mat input, mediapipe::NormalizedRect roi,
.IgnoreError();
mediapipe::GetRotatedSubRectToRectTransformMatrix(
roi_absolute, input.cols, input.rows,
/*flip_horizontally=*/false, &transform_mat);
/*flip_horizontaly=*/false, &transform_mat);
return transform_mat;
}

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@ -49,7 +49,7 @@ std::string FourCCToString(libyuv::FourCC fourcc) {
// The input `YUVImage` is expected to be in the NV12, NV21, YV12 or I420 (aka
// YV21) format (as per the `fourcc()` property). This covers the most commonly
// used YUV image formats used on mobile devices. Other formats are not
// supported and will result in an `InvalidArgumentError`.
// supported and wil result in an `InvalidArgumentError`.
class YUVToImageCalculator : public Node {
public:
static constexpr Input<YUVImage> kInput{"YUV_IMAGE"};

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@ -31,14 +31,12 @@ 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,
)

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@ -11,12 +11,10 @@
// 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"
@ -41,55 +39,64 @@ void DumpPostStreamPacket(Packet* post_stream_packet, const Packet& packet) {
*post_stream_packet = packet;
}
}
} // namespace
absl::Status CallbackPacketCalculator::GetContract(CalculatorContract* cc) {
const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
switch (options.type()) {
case CallbackPacketCalculatorOptions::VECTOR_PACKET:
case CallbackPacketCalculatorOptions::POST_STREAM_PACKET:
cc->OutputSidePackets()
.Index(0)
.Set<std::function<void(const Packet&)>>();
break;
default:
return mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
<< "Invalid type of callback to produce.";
// 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) {
const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
switch (options.type()) {
case CallbackPacketCalculatorOptions::VECTOR_PACKET:
case CallbackPacketCalculatorOptions::POST_STREAM_PACKET:
cc->OutputSidePackets()
.Index(0)
.Set<std::function<void(const Packet&)>>();
break;
default:
return mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
<< "Invalid type of callback to produce.";
}
return absl::OkStatus();
}
return absl::OkStatus();
}
absl::Status CallbackPacketCalculator::Open(CalculatorContext* cc) {
const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
void* ptr;
if (sscanf(options.pointer().c_str(), "%p", &ptr) != 1) {
return mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
<< "Stored pointer value in options is invalid.";
}
switch (options.type()) {
case CallbackPacketCalculatorOptions::VECTOR_PACKET:
cc->OutputSidePackets().Index(0).Set(
MakePacket<std::function<void(const Packet&)>>(std::bind(
&DumpToVector, reinterpret_cast<std::vector<Packet>*>(ptr),
std::placeholders::_1)));
break;
case CallbackPacketCalculatorOptions::POST_STREAM_PACKET:
cc->OutputSidePackets().Index(0).Set(
MakePacket<std::function<void(const Packet&)>>(
std::bind(&DumpPostStreamPacket, reinterpret_cast<Packet*>(ptr),
std::placeholders::_1)));
break;
default:
absl::Status Open(CalculatorContext* cc) override {
const auto& options = cc->Options<CallbackPacketCalculatorOptions>();
void* ptr;
if (sscanf(options.pointer().c_str(), "%p", &ptr) != 1) {
return mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
<< "Invalid type to dump into.";
<< "Stored pointer value in options is invalid.";
}
switch (options.type()) {
case CallbackPacketCalculatorOptions::VECTOR_PACKET:
cc->OutputSidePackets().Index(0).Set(
MakePacket<std::function<void(const Packet&)>>(std::bind(
&DumpToVector, reinterpret_cast<std::vector<Packet>*>(ptr),
std::placeholders::_1)));
break;
case CallbackPacketCalculatorOptions::POST_STREAM_PACKET:
cc->OutputSidePackets().Index(0).Set(
MakePacket<std::function<void(const Packet&)>>(
std::bind(&DumpPostStreamPacket, reinterpret_cast<Packet*>(ptr),
std::placeholders::_1)));
break;
default:
return mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
<< "Invalid type to dump into.";
}
return absl::OkStatus();
}
return absl::OkStatus();
}
absl::Status CallbackPacketCalculator::Process(CalculatorContext* cc) {
return absl::OkStatus();
}
absl::Status Process(CalculatorContext* cc) override {
return absl::OkStatus();
}
};
REGISTER_CALCULATOR(CallbackPacketCalculator);

View File

@ -1,39 +0,0 @@
// 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_

View File

@ -13,16 +13,16 @@
# limitations under the License.
#
load("@bazel_skylib//lib:selects.bzl", "selects")
load("//mediapipe/framework/port:build_config.bzl", "mediapipe_proto_library")
load(
"//mediapipe/framework/tool:mediapipe_graph.bzl",
"mediapipe_binary_graph",
)
load("@bazel_skylib//lib:selects.bzl", "selects")
load("//mediapipe/framework:encode_binary_proto.bzl", "encode_binary_proto")
load("//mediapipe/framework:mediapipe_cc_test.bzl", "mediapipe_cc_test")
load("//mediapipe/framework:more_selects.bzl", "more_selects")
load("//mediapipe/framework/port:build_config.bzl", "mediapipe_proto_library")
load("//mediapipe/framework:encode_binary_proto.bzl", "encode_binary_proto")
load("@org_tensorflow//tensorflow/lite/core/shims:cc_library_with_tflite.bzl", "cc_library_with_tflite")
load("//mediapipe/framework:more_selects.bzl", "more_selects")
licenses(["notice"])
@ -50,18 +50,10 @@ more_selects.config_setting_negation(
)
selects.config_setting_group(
name = "platform_apple_with_gpu",
name = "platform_ios_with_gpu",
match_all = [
":not_disable_gpu",
"//mediapipe:apple",
],
)
selects.config_setting_group(
name = "platform_apple_without_gpu",
match_all = [
":disable_gpu",
"//mediapipe:apple",
"//mediapipe:ios",
],
)
@ -95,7 +87,6 @@ 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",
@ -190,7 +181,6 @@ 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,
@ -208,7 +198,6 @@ 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",
],
)
@ -262,7 +251,7 @@ cc_test(
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings",
"@com_google_sentencepiece//:sentencepiece_processor", # fixdeps: keep
"@com_google_sentencepiece//src:sentencepiece_processor", # fixdeps: keep
],
)
@ -311,7 +300,7 @@ cc_test(
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings",
"@com_google_sentencepiece//:sentencepiece_processor", # fixdeps: keep
"@com_google_sentencepiece//src:sentencepiece_processor", # fixdeps: keep
],
)
@ -456,7 +445,6 @@ cc_library(
"//mediapipe/framework/deps:file_path",
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/util/tflite:tflite_gpu_runner",
"@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
@ -486,7 +474,6 @@ 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",
@ -622,7 +609,7 @@ cc_library(
":inference_calculator_interface",
] + select({
"//conditions:default": [":inference_calculator_gl_if_compute_shader_available"],
":platform_apple_with_gpu": [":inference_calculator_metal"],
":platform_ios_with_gpu": [":inference_calculator_metal"],
}),
alwayslink = 1,
)
@ -633,7 +620,6 @@ mediapipe_proto_library(
deps = [
"//mediapipe/framework:calculator_options_proto",
"//mediapipe/framework:calculator_proto",
"//mediapipe/gpu:gpu_origin_proto",
],
)
@ -657,36 +643,16 @@ cc_library(
}),
deps = [
":tensor_converter_calculator_cc_proto",
":tensor_converter_cpu",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:port",
"//mediapipe/framework/formats:image_frame",
"//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",
"//mediapipe/gpu:gpu_buffer_format",
"//mediapipe/gpu:gpu_origin_cc_proto",
"//mediapipe/util:resource_util",
"@com_google_absl//absl/log",
"@com_google_absl//absl/log:absl_check",
"@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/log:check",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
] + select({
"//mediapipe/gpu:disable_gpu": [],
"//conditions:default": [
"tensor_converter_calculator_gpu_deps",
"//mediapipe/gpu:gl_base",
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gl_simple_shaders",
"//mediapipe/gpu:shader_util",
],
"//conditions:default": ["tensor_converter_calculator_gpu_deps"],
}) + select({
"//mediapipe:apple": [
"//third_party/apple_frameworks:MetalKit",
@ -696,35 +662,6 @@ cc_library(
alwayslink = 1,
)
cc_library(
name = "tensor_converter_cpu",
srcs = ["tensor_converter_cpu.cc"],
hdrs = ["tensor_converter_cpu.h"],
deps = [
"//mediapipe/framework/formats:image_frame",
"//mediapipe/framework/formats:matrix",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
],
)
cc_test(
name = "tensor_converter_cpu_test",
srcs = ["tensor_converter_cpu_test.cc"],
deps = [
":tensor_converter_cpu",
"//mediapipe/framework/formats:matrix",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:gtest",
"//mediapipe/framework/port:gtest_main",
"//mediapipe/framework/port:status_matchers",
"//mediapipe/util:image_test_utils",
],
)
cc_library(
name = "tensor_converter_calculator_gpu_deps",
visibility = ["//visibility:private"],
@ -733,13 +670,12 @@ cc_library(
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gpu_buffer",
],
":platform_apple_with_gpu": [
"//mediapipe:ios": [
"//mediapipe/gpu:MPPMetalHelper",
"//mediapipe/gpu:MPPMetalUtil",
"//mediapipe/objc:mediapipe_framework_ios",
],
# This setting is needed to allow bazel to build all targets on Mac with GPU disabled
":platform_apple_without_gpu": [],
"//mediapipe:macos": [],
"//conditions:default": [
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gl_simple_shaders",
@ -763,11 +699,9 @@ 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",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
],
)
@ -803,8 +737,6 @@ 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({
@ -824,12 +756,11 @@ cc_library(
name = "tensors_to_detections_calculator_gpu_deps",
visibility = ["//visibility:private"],
deps = select({
":platform_apple_with_gpu": [
"//mediapipe:ios": [
"//mediapipe/gpu:MPPMetalHelper",
"//mediapipe/gpu:MPPMetalUtil",
],
# This setting is needed to allow bazel to build all targets on Mac with GPU disabled
":platform_apple_without_gpu": [],
"//mediapipe:macos": [],
"//conditions:default": [
"//mediapipe/gpu:gl_calculator_helper",
],
@ -862,7 +793,6 @@ 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,
)
@ -1028,48 +958,6 @@ cc_test(
],
)
cc_library(
name = "tensor_to_joints_calculator",
srcs = ["tensor_to_joints_calculator.cc"],
hdrs = ["tensor_to_joints_calculator.h"],
deps = [
":tensor_to_joints_calculator_cc_proto",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework/api2:node",
"//mediapipe/framework/formats:body_rig_cc_proto",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
],
alwayslink = 1,
)
mediapipe_proto_library(
name = "tensor_to_joints_calculator_proto",
srcs = ["tensor_to_joints_calculator.proto"],
deps = [
"//mediapipe/framework:calculator_options_proto",
"//mediapipe/framework:calculator_proto",
],
)
cc_test(
name = "tensor_to_joints_calculator_test",
srcs = ["tensor_to_joints_calculator_test.cc"],
deps = [
":tensor_to_joints_calculator",
":tensor_to_joints_calculator_cc_proto",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:calculator_runner",
"//mediapipe/framework:timestamp",
"//mediapipe/framework/formats:body_rig_cc_proto",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:gtest_main",
"//mediapipe/framework/port:parse_text_proto",
"@com_google_absl//absl/strings",
],
)
cc_library(
name = "image_to_tensor_calculator",
srcs = ["image_to_tensor_calculator.cc"],
@ -1097,8 +985,6 @@ 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"],
@ -1191,7 +1077,6 @@ 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",
@ -1319,7 +1204,6 @@ 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",
],
}),
@ -1452,8 +1336,6 @@ cc_library(
}),
deps = [
":tensors_to_segmentation_calculator_cc_proto",
":tensors_to_segmentation_converter",
":tensors_to_segmentation_utils",
"//mediapipe/framework:calculator_context",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:port",
@ -1461,11 +1343,9 @@ cc_library(
"//mediapipe/framework/formats:image_frame",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"//mediapipe/framework/port:statusor",
"//mediapipe/gpu:gpu_origin_cc_proto",
"//mediapipe/util:resource_util",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/types:span",
@ -1476,12 +1356,11 @@ cc_library(
"//mediapipe/gpu:gl_calculator_helper",
"//mediapipe/gpu:gl_simple_shaders",
"//mediapipe/gpu:gpu_buffer",
"//mediapipe/gpu:gpu_buffer_format",
"//mediapipe/gpu:shader_util",
],
}) + selects.with_or({
":gpu_inference_disabled": [],
":platform_apple_with_gpu": [
"//mediapipe:ios": [
"//mediapipe/gpu:MPPMetalUtil",
"//mediapipe/gpu:MPPMetalHelper",
"//third_party/apple_frameworks:MetalKit",
@ -1496,109 +1375,13 @@ cc_library(
}) + select({
"//mediapipe/framework/port:disable_opencv": [],
"//conditions:default": [
":tensors_to_segmentation_converter_opencv",
"//mediapipe/framework/formats:image_opencv",
"//mediapipe/framework/port:opencv_imgproc",
],
}),
alwayslink = 1,
)
cc_library(
name = "tensors_to_segmentation_utils",
srcs = ["tensors_to_segmentation_utils.cc"],
hdrs = ["tensors_to_segmentation_utils.h"],
deps = [
"//mediapipe/framework:port",
"//mediapipe/framework/port:ret_check",
"@com_google_absl//absl/status:statusor",
],
)
cc_test(
name = "tensors_to_segmentation_utils_test",
srcs = ["tensors_to_segmentation_utils_test.cc"],
deps = [
":tensors_to_segmentation_utils",
"//mediapipe/framework/port:gtest_main",
"//mediapipe/framework/port:status_matchers",
"@com_google_absl//absl/status:statusor",
],
)
cc_library(
name = "tensors_to_segmentation_converter",
hdrs = ["tensors_to_segmentation_converter.h"],
deps = [
"//mediapipe/framework/formats:image",
"//mediapipe/framework/formats:tensor",
"@com_google_absl//absl/status:statusor",
],
)
cc_library(
name = "tensors_to_segmentation_converter_opencv",
srcs = ["tensors_to_segmentation_converter_opencv.cc"],
hdrs = ["tensors_to_segmentation_converter_opencv.h"],
deps = [
":tensors_to_segmentation_calculator_cc_proto",
":tensors_to_segmentation_converter",
":tensors_to_segmentation_utils",
"//mediapipe/framework/formats:image",
"//mediapipe/framework/formats:image_frame",
"//mediapipe/framework/formats:image_opencv",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:opencv_core",
"//mediapipe/framework/port:opencv_imgproc",
"//mediapipe/framework/port:ret_check",
"//mediapipe/framework/port:status",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
],
)
cc_library(
name = "tensors_to_segmentation_calculator_test_utils",
testonly = 1,
srcs = ["tensors_to_segmentation_calculator_test_utils.cc"],
hdrs = ["tensors_to_segmentation_calculator_test_utils.h"],
deps = [
":tensors_to_segmentation_calculator_cc_proto",
"//mediapipe/framework:calculator_cc_proto",
"//mediapipe/framework/port:parse_text_proto",
"@com_google_absl//absl/log:absl_log",
"@com_google_absl//absl/strings",
],
)
cc_test(
name = "tensors_to_segmentation_calculator_test_utils_test",
srcs = ["tensors_to_segmentation_calculator_test_utils_test.cc"],
deps = [
":tensors_to_segmentation_calculator_cc_proto",
":tensors_to_segmentation_calculator_test_utils",
"//mediapipe/framework/port:gtest_main",
],
)
cc_test(
name = "tensors_to_segmentation_calculator_test",
srcs = ["tensors_to_segmentation_calculator_test.cc"],
deps = [
":tensors_to_segmentation_calculator",
":tensors_to_segmentation_calculator_cc_proto",
":tensors_to_segmentation_calculator_test_utils",
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:calculator_runner",
"//mediapipe/framework:packet",
"//mediapipe/framework:timestamp",
"//mediapipe/framework/formats:image",
"//mediapipe/framework/formats:image_format_cc_proto",
"//mediapipe/framework/formats:image_opencv",
"//mediapipe/framework/formats:rect_cc_proto",
"//mediapipe/framework/formats:tensor",
"//mediapipe/framework/port:gtest_main",
],
)
cc_library(
name = "tensors_dequantization_calculator",
srcs = ["tensors_dequantization_calculator.cc"],

View File

@ -20,7 +20,6 @@
#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"
@ -109,7 +108,7 @@ bool IsValidFftSize(int size) {
// Non-streaming mode: when "stream_mode" is set to false in the calculator
// options, the calculators treats the packets in the input audio stream as
// a batch of unrelated audio buffers. In each Process() call, the input
// buffer will be first resampled, and framed as fixed-sized, possibly
// buffer will be frist resampled, and framed as fixed-sized, possibly
// overlapping tensors. The last tensor produced by a Process() invocation
// will be zero-padding if the remaining samples are insufficient. As the
// calculator treats the input packets as unrelated, all samples will be
@ -159,7 +158,7 @@ class AudioToTensorCalculator : public Node {
public:
static constexpr Input<Matrix> kAudioIn{"AUDIO"};
// TODO: Removes this optional input stream when the "AUDIO" stream
// uses the new mediapipe audio data containers that carry audio metadata,
// uses the new mediapipe audio data containers that carry audio metatdata,
// such as sample rate.
static constexpr Input<double>::Optional kAudioSampleRateIn{"SAMPLE_RATE"};
static constexpr Output<std::vector<Tensor>> kTensorsOut{"TENSORS"};
@ -349,7 +348,7 @@ absl::Status AudioToTensorCalculator::Process(CalculatorContext* cc) {
return absl::InvalidArgumentError(
"The audio data should be stored in column-major.");
}
ABSL_CHECK(channels_match || mono_output);
CHECK(channels_match || mono_output);
const Matrix& input = channels_match ? input_frame
// Mono mixdown.
: input_frame.colwise().mean();
@ -458,7 +457,7 @@ absl::Status AudioToTensorCalculator::SetupStreamingResampler(
}
void AudioToTensorCalculator::AppendZerosToSampleBuffer(int num_samples) {
ABSL_CHECK_GE(num_samples, 0); // Ensured by `UpdateContract`.
CHECK_GE(num_samples, 0); // Ensured by `UpdateContract`.
if (num_samples == 0) {
return;
}
@ -517,8 +516,8 @@ absl::Status AudioToTensorCalculator::OutputTensor(const Matrix& block,
// The last two elements are Nyquist component.
fft_output_matrix(fft_size_ - 2) = fft_output_[1]; // Nyquist real part
fft_output_matrix(fft_size_ - 1) = 0.0f; // Nyquist imagery part
MP_ASSIGN_OR_RETURN(output_tensor, ConvertToTensor(fft_output_matrix,
{2, fft_size_ / 2}));
ASSIGN_OR_RETURN(output_tensor, ConvertToTensor(fft_output_matrix,
{2, fft_size_ / 2}));
break;
}
case Options::WITH_DC_AND_NYQUIST: {
@ -529,7 +528,7 @@ absl::Status AudioToTensorCalculator::OutputTensor(const Matrix& block,
// The last two elements are Nyquist component.
fft_output_matrix(fft_size_) = fft_output_[1]; // Nyquist real part
fft_output_matrix(fft_size_ + 1) = 0.0f; // Nyquist imagery part
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
output_tensor,
ConvertToTensor(fft_output_matrix, {2, (fft_size_ + 2) / 2}));
break;
@ -537,7 +536,7 @@ absl::Status AudioToTensorCalculator::OutputTensor(const Matrix& block,
case Options::WITHOUT_DC_AND_NYQUIST: {
Matrix fft_output_matrix =
Eigen::Map<const Matrix>(fft_output_.data() + 2, 1, fft_size_ - 2);
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
output_tensor,
ConvertToTensor(fft_output_matrix, {2, (fft_size_ - 2) / 2}));
break;
@ -547,8 +546,8 @@ absl::Status AudioToTensorCalculator::OutputTensor(const Matrix& block,
}
} else {
MP_ASSIGN_OR_RETURN(output_tensor,
ConvertToTensor(block, {num_channels_, num_samples_}));
ASSIGN_OR_RETURN(output_tensor,
ConvertToTensor(block, {num_channels_, num_samples_}));
}
kTensorsOut(cc).Send(std::move(output_tensor), timestamp);
return absl::OkStatus();

View File

@ -37,7 +37,7 @@ message AudioToTensorCalculatorOptions {
// will be converted into tensors.
optional double target_sample_rate = 4;
// Whether to treat the input audio stream as a continuous stream or a batch
// Whether to treat the input audio stream as a continous stream or a batch
// of unrelated audio buffers.
optional bool stream_mode = 5 [default = true];

View File

@ -68,6 +68,7 @@ constexpr absl::string_view kSeparatorToken = "[SEP]";
//
// This calculator is currently configured for the TextClassifier Task but it
// will eventually be generalized for other Text Tasks.
// TODO: Handle preprocessing for other Text Tasks too.
//
// Inputs:
// TEXT - std::string
@ -160,9 +161,9 @@ absl::Status BertPreprocessorCalculator::Open(CalculatorContext* cc) {
&kMetadataExtractorSideIn(cc).Get();
const tflite::ProcessUnit* tokenizer_metadata =
metadata_extractor->GetInputProcessUnit(kTokenizerProcessUnitIndex);
MP_ASSIGN_OR_RETURN(tokenizer_,
tasks::text::tokenizers::CreateTokenizerFromProcessUnit(
tokenizer_metadata, metadata_extractor));
ASSIGN_OR_RETURN(tokenizer_,
tasks::text::tokenizers::CreateTokenizerFromProcessUnit(
tokenizer_metadata, metadata_extractor));
auto* input_tensors_metadata = metadata_extractor->GetInputTensorMetadata();
input_ids_tensor_index_ = FindTensorIndexByMetadataName(

View File

@ -67,10 +67,9 @@ absl::StatusOr<std::vector<std::vector<int>>> RunBertPreprocessorCalculator(
tool::AddVectorSink("tensors", &graph_config, &output_packets);
std::string model_buffer = tasks::core::LoadBinaryContent(model_path.data());
MP_ASSIGN_OR_RETURN(
std::unique_ptr<ModelMetadataExtractor> metadata_extractor,
ModelMetadataExtractor::CreateFromModelBuffer(model_buffer.data(),
model_buffer.size()));
ASSIGN_OR_RETURN(std::unique_ptr<ModelMetadataExtractor> metadata_extractor,
ModelMetadataExtractor::CreateFromModelBuffer(
model_buffer.data(), model_buffer.size()));
// Run the graph.
CalculatorGraph graph;
MP_RETURN_IF_ERROR(graph.Initialize(

View File

@ -18,7 +18,6 @@
#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"
@ -66,7 +65,7 @@ template <typename T>
Tensor MakeTensor(std::initializer_list<int> shape,
std::initializer_list<T> values) {
Tensor tensor(TensorElementType<T>::value, shape);
ABSL_CHECK_EQ(values.size(), tensor.shape().num_elements())
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;

View File

@ -16,7 +16,6 @@
#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"
@ -82,7 +81,7 @@ namespace api2 {
//
// Outputs:
// TENSORS - std::vector<Tensor>
// Vector containing a single Tensor populated with an extracted RGB image.
// Vector containing a single Tensor populated with an extrated RGB image.
// MATRIX - std::array<float, 16> @Optional
// An std::array<float, 16> representing a 4x4 row-major-order matrix that
// maps a point on the input image to a point on the output tensor, and
@ -192,19 +191,18 @@ class ImageToTensorCalculator : public Node {
}
#if MEDIAPIPE_DISABLE_GPU
MP_ASSIGN_OR_RETURN(auto image, GetInputImage(kIn(cc)));
ASSIGN_OR_RETURN(auto image, GetInputImage(kIn(cc)));
#else
const bool is_input_gpu = kInGpu(cc).IsConnected();
MP_ASSIGN_OR_RETURN(auto image, is_input_gpu ? GetInputImage(kInGpu(cc))
: GetInputImage(kIn(cc)));
ASSIGN_OR_RETURN(auto image, is_input_gpu ? GetInputImage(kInGpu(cc))
: GetInputImage(kIn(cc)));
#endif // MEDIAPIPE_DISABLE_GPU
RotatedRect roi = GetRoi(image->width(), image->height(), norm_rect);
const int tensor_width = params_.output_width.value_or(image->width());
const int tensor_height = params_.output_height.value_or(image->height());
MP_ASSIGN_OR_RETURN(auto padding,
PadRoi(tensor_width, tensor_height,
options_.keep_aspect_ratio(), &roi));
ASSIGN_OR_RETURN(auto padding, PadRoi(tensor_width, tensor_height,
options_.keep_aspect_ratio(), &roi));
if (kOutLetterboxPadding(cc).IsConnected()) {
kOutLetterboxPadding(cc).Send(padding);
}
@ -212,7 +210,7 @@ class ImageToTensorCalculator : public Node {
std::array<float, 16> matrix;
GetRotatedSubRectToRectTransformMatrix(
roi, image->width(), image->height(),
/*flip_horizontally=*/false, &matrix);
/*flip_horizontaly=*/false, &matrix);
kOutMatrix(cc).Send(std::move(matrix));
}
@ -248,20 +246,20 @@ class ImageToTensorCalculator : public Node {
if (!gpu_converter_) {
#if !MEDIAPIPE_DISABLE_GPU
#if MEDIAPIPE_METAL_ENABLED
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
gpu_converter_,
CreateMetalConverter(cc, GetBorderMode(options_.border_mode())));
#elif MEDIAPIPE_OPENGL_ES_VERSION >= MEDIAPIPE_OPENGL_ES_31
MP_ASSIGN_OR_RETURN(gpu_converter_,
CreateImageToGlBufferTensorConverter(
cc, DoesGpuInputStartAtBottom(options_),
GetBorderMode(options_.border_mode())));
ASSIGN_OR_RETURN(gpu_converter_,
CreateImageToGlBufferTensorConverter(
cc, DoesGpuInputStartAtBottom(options_),
GetBorderMode(options_.border_mode())));
#else
if (!gpu_converter_) {
MP_ASSIGN_OR_RETURN(gpu_converter_,
CreateImageToGlTextureTensorConverter(
cc, DoesGpuInputStartAtBottom(options_),
GetBorderMode(options_.border_mode())));
ASSIGN_OR_RETURN(gpu_converter_,
CreateImageToGlTextureTensorConverter(
cc, DoesGpuInputStartAtBottom(options_),
GetBorderMode(options_.border_mode())));
}
if (!gpu_converter_) {
return absl::UnimplementedError(
@ -273,24 +271,22 @@ class ImageToTensorCalculator : public Node {
} else {
if (!cpu_converter_) {
#if !MEDIAPIPE_DISABLE_OPENCV
MP_ASSIGN_OR_RETURN(
cpu_converter_,
CreateOpenCvConverter(
cc, GetBorderMode(options_.border_mode()),
GetOutputTensorType(/*uses_gpu=*/false, params_)));
ASSIGN_OR_RETURN(cpu_converter_,
CreateOpenCvConverter(
cc, GetBorderMode(options_.border_mode()),
GetOutputTensorType(/*uses_gpu=*/false, params_)));
// TODO: FrameBuffer-based converter needs to call GetGpuBuffer()
// to get access to a FrameBuffer view. Investigate if GetGpuBuffer() can be
// made available even with MEDIAPIPE_DISABLE_GPU set.
#elif MEDIAPIPE_ENABLE_HALIDE
MP_ASSIGN_OR_RETURN(
cpu_converter_,
CreateFrameBufferConverter(
cc, GetBorderMode(options_.border_mode()),
GetOutputTensorType(/*uses_gpu=*/false, params_)));
ASSIGN_OR_RETURN(cpu_converter_,
CreateFrameBufferConverter(
cc, GetBorderMode(options_.border_mode()),
GetOutputTensorType(/*uses_gpu=*/false, params_)));
#else
ABSL_LOG(FATAL) << "Cannot create image to tensor CPU converter since "
"MEDIAPIPE_DISABLE_OPENCV is defined and "
"MEDIAPIPE_ENABLE_HALIDE is not defined.";
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
}
}

View File

@ -18,7 +18,6 @@
#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"
@ -206,7 +205,7 @@ mediapipe::ImageFormat::Format GetImageFormat(int image_channels) {
} else if (image_channels == 1) {
return ImageFormat::GRAY8;
}
ABSL_CHECK(false) << "Unsupported input image channels: " << image_channels;
CHECK(false) << "Unsupported input image channles: " << image_channels;
}
Packet MakeImageFramePacket(cv::Mat input) {

View File

@ -175,9 +175,9 @@ absl::Status FrameBufferProcessor::CropRotateResize90Degrees(
cropped_buffer_ = std::make_unique<uint8_t[]>(cropped_buffer_size);
cropped_buffer_size_ = cropped_buffer_size;
}
MP_ASSIGN_OR_RETURN(
cropped, frame_buffer::CreateFromRawBuffer(
cropped_buffer_.get(), cropped_dims, input->format()));
ASSIGN_OR_RETURN(cropped,
frame_buffer::CreateFromRawBuffer(
cropped_buffer_.get(), cropped_dims, input->format()));
}
MP_RETURN_IF_ERROR(
frame_buffer::Crop(*input, left, top, right, bottom, cropped.get()));
@ -194,9 +194,9 @@ absl::Status FrameBufferProcessor::CropRotateResize90Degrees(
rotated_buffer_ = std::make_unique<uint8_t[]>(rotated_buffer_size);
rotated_buffer_size_ = rotated_buffer_size;
}
MP_ASSIGN_OR_RETURN(auto rotated, frame_buffer::CreateFromRawBuffer(
rotated_buffer_.get(), rotated_dims,
cropped->format()));
ASSIGN_OR_RETURN(auto rotated, frame_buffer::CreateFromRawBuffer(
rotated_buffer_.get(), rotated_dims,
cropped->format()));
}
MP_RETURN_IF_ERROR(
frame_buffer::Rotate(*cropped, rotation_degrees, rotated.get()));
@ -217,10 +217,9 @@ absl::Status FrameBufferProcessor::ConvertToFloatTensor(
RET_CHECK(output_tensor.element_type() == Tensor::ElementType::kFloat32);
constexpr float kInputImageRangeMin = 0.0f;
constexpr float kInputImageRangeMax = 255.0f;
MP_ASSIGN_OR_RETURN(
auto transform,
GetValueRangeTransformation(kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));
ASSIGN_OR_RETURN(auto transform, GetValueRangeTransformation(
kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));
return frame_buffer::ToFloatTensor(*input_frame, transform.scale,
transform.offset, output_tensor);
}

View File

@ -57,7 +57,7 @@ class SubRectExtractorGl {
absl::Status ExtractSubRectToBuffer(
const tflite::gpu::gl::GlTexture& texture,
const tflite::gpu::HW& texture_size, const RotatedRect& sub_rect,
bool flip_horizontally, float alpha, float beta,
bool flip_horizontaly, float alpha, float beta,
const tflite::gpu::HW& destination_size,
tflite::gpu::gl::CommandQueue* command_queue,
tflite::gpu::gl::GlBuffer* destination);
@ -154,13 +154,13 @@ void main() {
absl::Status SubRectExtractorGl::ExtractSubRectToBuffer(
const tflite::gpu::gl::GlTexture& texture,
const tflite::gpu::HW& texture_size, const RotatedRect& texture_sub_rect,
bool flip_horizontally, float alpha, float beta,
bool flip_horizontaly, float alpha, float beta,
const tflite::gpu::HW& destination_size,
tflite::gpu::gl::CommandQueue* command_queue,
tflite::gpu::gl::GlBuffer* destination) {
std::array<float, 16> transform_mat;
GetRotatedSubRectToRectTransformMatrix(texture_sub_rect, texture_size.w,
texture_size.h, flip_horizontally,
texture_size.h, flip_horizontaly,
&transform_mat);
MP_RETURN_IF_ERROR(texture.BindAsSampler2D(0));
@ -255,7 +255,7 @@ class GlProcessor : public ImageToTensorConverter {
<< "OpenGL ES 3.1 is required.";
command_queue_ = tflite::gpu::gl::NewCommandQueue(gpu_info);
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
auto extractor,
SubRectExtractorGl::Create(gl_helper_.GetGlContext(),
input_starts_at_bottom, border_mode));
@ -293,10 +293,10 @@ class GlProcessor : public ImageToTensorConverter {
constexpr float kInputImageRangeMin = 0.0f;
constexpr float kInputImageRangeMax = 1.0f;
MP_ASSIGN_OR_RETURN(auto transform,
GetValueRangeTransformation(
kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));
ASSIGN_OR_RETURN(auto transform,
GetValueRangeTransformation(kInputImageRangeMin,
kInputImageRangeMax,
range_min, range_max));
const int output_size = output_tensor.bytes() / output_shape.dims[0];
auto buffer_view = output_tensor.GetOpenGlBufferWriteView();
@ -308,7 +308,7 @@ class GlProcessor : public ImageToTensorConverter {
input_texture,
tflite::gpu::HW(source_texture.height(), source_texture.width()),
roi,
/*flip_horizontally=*/false, transform.scale, transform.offset,
/*flip_horizontaly=*/false, transform.scale, transform.offset,
tflite::gpu::HW(output_shape.dims[1], output_shape.dims[2]),
command_queue_.get(), &output));

View File

@ -22,7 +22,6 @@
#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"
@ -193,13 +192,13 @@ class GlProcessor : public ImageToTensorConverter {
constexpr float kInputImageRangeMin = 0.0f;
constexpr float kInputImageRangeMax = 1.0f;
MP_ASSIGN_OR_RETURN(auto transform,
GetValueRangeTransformation(
kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));
ASSIGN_OR_RETURN(auto transform,
GetValueRangeTransformation(kInputImageRangeMin,
kInputImageRangeMax,
range_min, range_max));
auto tensor_view = output_tensor.GetOpenGlTexture2dWriteView();
MP_RETURN_IF_ERROR(ExtractSubRect(input_texture, roi,
/*flip_horizontally=*/false,
/*flip_horizontaly=*/false,
transform.scale, transform.offset,
output_shape, &tensor_view));
return absl::OkStatus();
@ -210,7 +209,7 @@ class GlProcessor : public ImageToTensorConverter {
absl::Status ExtractSubRect(const mediapipe::GlTexture& texture,
const RotatedRect& sub_rect,
bool flip_horizontally, float alpha, float beta,
bool flip_horizontaly, float alpha, float beta,
const Tensor::Shape& output_shape,
Tensor::OpenGlTexture2dView* output) {
const int output_height = output_shape.dims[1];
@ -260,16 +259,16 @@ 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();
ABSL_LOG_IF(FATAL, !gl_context) << "GlContext is not bound to the thread.";
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_horizontally,
sub_rect, texture.width(), texture.height(), flip_horizontaly,
&transform_mat);
glUniformMatrix4fv(matrix_id_, 1, GL_FALSE, transform_mat.data());
} else {
GetRotatedSubRectToRectTransformMatrix(sub_rect, texture.width(),
texture.height(),
flip_horizontally, &transform_mat);
texture.height(), flip_horizontaly,
&transform_mat);
glUniformMatrix4fv(matrix_id_, 1, GL_TRUE, transform_mat.data());
}
@ -304,7 +303,6 @@ class GlProcessor : public ImageToTensorConverter {
glBindTexture(GL_TEXTURE_2D, 0);
glActiveTexture(GL_TEXTURE0);
glBindTexture(GL_TEXTURE_2D, 0);
glFlush();
return absl::OkStatus();
}

View File

@ -179,13 +179,13 @@ class SubRectExtractorMetal {
}
absl::Status Execute(id<MTLTexture> input_texture,
const RotatedRect& sub_rect, bool flip_horizontally,
const RotatedRect& sub_rect, bool flip_horizontaly,
float alpha, float beta,
const tflite::gpu::HW& destination_size,
id<MTLCommandBuffer> command_buffer,
id<MTLBuffer> destination) {
auto output_texture = MTLTextureWithBuffer(destination_size, destination);
return InternalExecute(input_texture, sub_rect, flip_horizontally, alpha,
return InternalExecute(input_texture, sub_rect, flip_horizontaly, alpha,
beta, destination_size, command_buffer,
output_texture);
}
@ -211,7 +211,7 @@ class SubRectExtractorMetal {
absl::Status InternalExecute(id<MTLTexture> input_texture,
const RotatedRect& sub_rect,
bool flip_horizontally, float alpha, float beta,
bool flip_horizontaly, float alpha, float beta,
const tflite::gpu::HW& destination_size,
id<MTLCommandBuffer> command_buffer,
id<MTLTexture> output_texture) {
@ -223,7 +223,7 @@ class SubRectExtractorMetal {
std::array<float, 16> transform_mat;
GetRotatedSubRectToRectTransformMatrix(sub_rect, input_texture.width,
input_texture.height,
flip_horizontally, &transform_mat);
flip_horizontaly, &transform_mat);
id<MTLBuffer> transform_mat_buffer =
[device_ newBufferWithBytes:&transform_mat
length:sizeof(transform_mat)
@ -345,9 +345,9 @@ class MetalProcessor : public ImageToTensorConverter {
absl::Status Init(CalculatorContext* cc, BorderMode border_mode) {
metal_helper_ = [[MPPMetalHelper alloc] initWithCalculatorContext:cc];
RET_CHECK(metal_helper_);
MP_ASSIGN_OR_RETURN(extractor_, SubRectExtractorMetal::Make(
metal_helper_.mtlDevice,
OutputFormat::kF32C4, border_mode));
ASSIGN_OR_RETURN(extractor_, SubRectExtractorMetal::Make(
metal_helper_.mtlDevice,
OutputFormat::kF32C4, border_mode));
return absl::OkStatus();
}
@ -373,7 +373,7 @@ class MetalProcessor : public ImageToTensorConverter {
constexpr float kInputImageRangeMin = 0.0f;
constexpr float kInputImageRangeMax = 1.0f;
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
auto transform,
GetValueRangeTransformation(kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));
@ -383,7 +383,7 @@ class MetalProcessor : public ImageToTensorConverter {
MtlBufferView::GetWriteView(output_tensor, command_buffer);
MP_RETURN_IF_ERROR(extractor_->Execute(
texture, roi,
/*flip_horizontally=*/false, transform.scale, transform.offset,
/*flip_horizontaly=*/false, transform.scale, transform.offset,
tflite::gpu::HW(output_shape.dims[1], output_shape.dims[2]),
command_buffer, buffer_view.buffer()));
[command_buffer commit];

View File

@ -159,7 +159,7 @@ class OpenCvProcessor : public ImageToTensorConverter {
constexpr float kInputImageRangeMin = 0.0f;
constexpr float kInputImageRangeMax = 255.0f;
MP_ASSIGN_OR_RETURN(
ASSIGN_OR_RETURN(
auto transform,
GetValueRangeTransformation(kInputImageRangeMin, kInputImageRangeMax,
range_min, range_max));

View File

@ -92,7 +92,7 @@ absl::StatusOr<ValueTransformation> GetValueRangeTransformation(
void GetRotatedSubRectToRectTransformMatrix(const RotatedRect& sub_rect,
int rect_width, int rect_height,
bool flip_horizontally,
bool flip_horizontaly,
std::array<float, 16>* matrix_ptr) {
std::array<float, 16>& matrix = *matrix_ptr;
// The resulting matrix is multiplication of below commented out matrices:
@ -118,7 +118,7 @@ void GetRotatedSubRectToRectTransformMatrix(const RotatedRect& sub_rect,
// {0.0f, 0.0f, a, 0.0f}
// {0.0f, 0.0f, 0.0f, 1.0f}
const float flip = flip_horizontally ? -1 : 1;
const float flip = flip_horizontaly ? -1 : 1;
// Matrix for optional horizontal flip around middle of output image.
// { fl , 0.0f, 0.0f, 0.0f}
// { 0.0f, 1.0f, 0.0f, 0.0f}
@ -177,13 +177,13 @@ void GetRotatedSubRectToRectTransformMatrix(const RotatedRect& sub_rect,
void GetTransposedRotatedSubRectToRectTransformMatrix(
const RotatedRect& sub_rect, int rect_width, int rect_height,
bool flip_horizontally, std::array<float, 16>* matrix_ptr) {
bool flip_horizontaly, std::array<float, 16>* matrix_ptr) {
std::array<float, 16>& matrix = *matrix_ptr;
// See comments in GetRotatedSubRectToRectTransformMatrix for detailed
// calculations.
const float a = sub_rect.width;
const float b = sub_rect.height;
const float flip = flip_horizontally ? -1 : 1;
const float flip = flip_horizontaly ? -1 : 1;
const float c = std::cos(sub_rect.rotation);
const float d = std::sin(sub_rect.rotation);
const float e = sub_rect.center_x;

View File

@ -74,7 +74,7 @@ absl::StatusOr<std::array<float, 4>> PadRoi(int input_tensor_width,
// Represents a transformation of value which involves scaling and offsetting.
// To apply transformation:
// ValueTransformation transform = ...
// float transformed_value = transform.scale * value + transform.offset;
// float transformed_value = transform.scale * value + transfrom.offset;
struct ValueTransformation {
float scale;
float offset;
@ -99,11 +99,11 @@ absl::StatusOr<ValueTransformation> GetValueRangeTransformation(
// @sub_rect - rotated sub rect in absolute coordinates
// @rect_width - rect width
// @rect_height - rect height
// @flip_horizontally - we need to flip the output buffer.
// @flip_horizontaly - we need to flip the output buffer.
// @matrix - 4x4 matrix (array of 16 elements) to populate
void GetRotatedSubRectToRectTransformMatrix(const RotatedRect& sub_rect,
int rect_width, int rect_height,
bool flip_horizontally,
bool flip_horizontaly,
std::array<float, 16>* matrix);
// Returns the transpose of the matrix found with
@ -118,11 +118,11 @@ void GetRotatedSubRectToRectTransformMatrix(const RotatedRect& sub_rect,
// @sub_rect - rotated sub rect in absolute coordinates
// @rect_width - rect width
// @rect_height - rect height
// @flip_horizontally - we need to flip the output buffer.
// @flip_horizontaly - we need to flip the output buffer.
// @matrix - 4x4 matrix (array of 16 elements) to populate
void GetTransposedRotatedSubRectToRectTransformMatrix(
const RotatedRect& sub_rect, int rect_width, int rect_height,
bool flip_horizontally, std::array<float, 16>* matrix);
bool flip_horizontaly, std::array<float, 16>* matrix);
// Validates the output dimensions set in the option proto. The input option
// proto is expected to have to following fields:

View File

@ -88,20 +88,6 @@ 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.

View File

@ -60,7 +60,7 @@ absl::Status InferenceCalculatorCpuImpl::UpdateContract(
}
absl::Status InferenceCalculatorCpuImpl::Open(CalculatorContext* cc) {
MP_ASSIGN_OR_RETURN(inference_runner_, CreateInferenceRunner(cc));
ASSIGN_OR_RETURN(inference_runner_, CreateInferenceRunner(cc));
return absl::OkStatus();
}
@ -71,8 +71,8 @@ absl::Status InferenceCalculatorCpuImpl::Process(CalculatorContext* cc) {
const auto& input_tensors = *kInTensors(cc);
RET_CHECK(!input_tensors.empty());
MP_ASSIGN_OR_RETURN(std::vector<Tensor> output_tensors,
inference_runner_->Run(cc, input_tensors));
ASSIGN_OR_RETURN(std::vector<Tensor> output_tensors,
inference_runner_->Run(cc, input_tensors));
kOutTensors(cc).Send(std::move(output_tensors));
return absl::OkStatus();
}
@ -84,11 +84,11 @@ absl::Status InferenceCalculatorCpuImpl::Close(CalculatorContext* cc) {
absl::StatusOr<std::unique_ptr<InferenceRunner>>
InferenceCalculatorCpuImpl::CreateInferenceRunner(CalculatorContext* cc) {
MP_ASSIGN_OR_RETURN(auto model_packet, GetModelAsPacket(cc));
MP_ASSIGN_OR_RETURN(auto op_resolver_packet, GetOpResolverAsPacket(cc));
ASSIGN_OR_RETURN(auto model_packet, GetModelAsPacket(cc));
ASSIGN_OR_RETURN(auto op_resolver_packet, GetOpResolverAsPacket(cc));
const int interpreter_num_threads =
cc->Options<mediapipe::InferenceCalculatorOptions>().cpu_num_thread();
MP_ASSIGN_OR_RETURN(TfLiteDelegatePtr delegate, MaybeCreateDelegate(cc));
ASSIGN_OR_RETURN(TfLiteDelegatePtr delegate, MaybeCreateDelegate(cc));
return CreateInferenceInterpreterDelegateRunner(
std::move(model_packet), std::move(op_resolver_packet),
std::move(delegate), interpreter_num_threads);

View File

@ -100,7 +100,7 @@ absl::Status InferenceCalculatorGlImpl::GpuInferenceRunner::Init(
absl::Status InferenceCalculatorGlImpl::GpuInferenceRunner::LoadModel(
CalculatorContext* cc) {
MP_ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
const auto& model = *model_packet_.Get();
if (kSideInOpResolver(cc).IsConnected()) {
const tflite::OpResolver& op_resolver = kSideInOpResolver(cc).Get();

View File

@ -12,7 +12,6 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include <cstdint>
#include <cstring>
#include <memory>
#include <string>
@ -27,7 +26,6 @@
#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"
@ -70,21 +68,14 @@ class InferenceCalculatorGlAdvancedImpl
const mediapipe::InferenceCalculatorOptions::Delegate::Gpu&
gpu_delegate_options);
absl::Status ReadGpuCaches(tflite::gpu::TFLiteGPURunner* gpu_runner) const;
// Writes caches to disk based on |cache_writing_behavior_|.
absl::Status SaveGpuCachesBasedOnBehavior(
tflite::gpu::TFLiteGPURunner* gpu_runner) const;
absl::Status SaveGpuCaches(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.
@ -170,7 +161,7 @@ absl::Status
InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::InitTFLiteGPURunner(
CalculatorContext* cc,
const mediapipe::InferenceCalculatorOptions::Delegate& delegate) {
MP_ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
const auto& model = *model_packet_.Get();
bool allow_precision_loss = delegate.gpu().allow_precision_loss();
@ -241,8 +232,7 @@ InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::InitTFLiteGPURunner(
MP_RETURN_IF_ERROR(
on_disk_cache_helper_.ReadGpuCaches(tflite_gpu_runner_.get()));
MP_RETURN_IF_ERROR(tflite_gpu_runner_->Build());
return on_disk_cache_helper_.SaveGpuCachesBasedOnBehavior(
tflite_gpu_runner_.get());
return on_disk_cache_helper_.SaveGpuCaches(tflite_gpu_runner_.get());
}
#if defined(MEDIAPIPE_ANDROID) || defined(MEDIAPIPE_CHROMIUMOS)
@ -271,51 +261,24 @@ 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 {
if (use_kernel_caching_) {
// Save kernel file.
MP_ASSIGN_OR_RETURN(std::vector<uint8_t> kernel_cache,
gpu_runner->GetSerializedBinaryCache());
ASSIGN_OR_RETURN(std::vector<uint8_t> kernel_cache,
gpu_runner->GetSerializedBinaryCache());
std::string cache_str(kernel_cache.begin(), kernel_cache.end());
MP_RETURN_IF_ERROR(
mediapipe::file::SetContents(cached_kernel_filename_, cache_str));
}
if (use_serialized_model_) {
// Save serialized model file.
MP_ASSIGN_OR_RETURN(std::vector<uint8_t> serialized_model_vec,
gpu_runner->GetSerializedModel());
ASSIGN_OR_RETURN(std::vector<uint8_t> serialized_model_vec,
gpu_runner->GetSerializedModel());
absl::string_view serialized_model(
reinterpret_cast<char*>(serialized_model_vec.data()),
serialized_model_vec.size());
@ -355,12 +318,6 @@ absl::Status InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::Init(
return absl::OkStatus();
}
absl::Status InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::
SaveGpuCachesBasedOnBehavior(
tflite::gpu::TFLiteGPURunner* gpu_runner) const {
return absl::OkStatus();
}
absl::Status
InferenceCalculatorGlAdvancedImpl::OnDiskCacheHelper::ReadGpuCaches(
tflite::gpu::TFLiteGPURunner* gpu_runner) const {
@ -412,8 +369,8 @@ absl::Status InferenceCalculatorGlAdvancedImpl::Process(CalculatorContext* cc) {
RET_CHECK(!input_tensors.empty());
auto output_tensors = absl::make_unique<std::vector<Tensor>>();
MP_ASSIGN_OR_RETURN(*output_tensors,
gpu_inference_runner_->Process(cc, input_tensors));
ASSIGN_OR_RETURN(*output_tensors,
gpu_inference_runner_->Process(cc, input_tensors));
kOutTensors(cc).Send(std::move(output_tensors));
return absl::OkStatus();

View File

@ -21,7 +21,6 @@
#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"
@ -75,7 +74,7 @@ tflite::gpu::BHWC BhwcFromTensorShape(const Tensor::Shape& shape) {
break;
default:
// Handles 0 and >4.
ABSL_LOG(FATAL)
LOG(FATAL)
<< "Dimensions size must be in range [1,4] for GPU inference, but "
<< shape.dims.size() << " is provided";
}
@ -191,11 +190,6 @@ absl::Status InferenceCalculatorMetalImpl::Process(CalculatorContext* cc) {
[output_encoder endEncoding];
}
[command_buffer commit];
// The below call is found (manual testing) to resolve flickering issues for
// some use cases where multiple Metal calculators are involved.
// TODO: investigate and ensure proper synchronization
// (e.g. fences/barriers/events).
[command_buffer waitUntilScheduled];
kOutTensors(cc).Send(std::move(output_tensors));
return absl::OkStatus();
@ -213,9 +207,9 @@ absl::Status InferenceCalculatorMetalImpl::Close(CalculatorContext* cc) {
absl::Status InferenceCalculatorMetalImpl::InitInterpreter(
CalculatorContext* cc) {
MP_ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
ASSIGN_OR_RETURN(model_packet_, GetModelAsPacket(cc));
const auto& model = *model_packet_.Get();
MP_ASSIGN_OR_RETURN(auto op_resolver_packet, GetOpResolverAsPacket(cc));
ASSIGN_OR_RETURN(auto op_resolver_packet, GetOpResolverAsPacket(cc));
const auto& op_resolver = op_resolver_packet.Get();
tflite::InterpreterBuilder interpreter_builder(model, op_resolver);
AddDelegate(cc, &interpreter_builder);

View File

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

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