No public description

PiperOrigin-RevId: 583973946

mediapipe/tasks/cc/components/processors/BUILD

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+load("@org_tensorflow//tensorflow/lite/core/shims:cc_library_with_tflite.bzl", "cc_library_with_tflite")
+
 package(default_visibility = ["//mediapipe/tasks:internal"])
 
 licenses(["notice"])
@@ -99,10 +101,14 @@ cc_library(
     alwayslink = 1,
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "image_preprocessing_graph",
     srcs = ["image_preprocessing_graph.cc"],
     hdrs = ["image_preprocessing_graph.h"],
+    tflite_deps = [
+        "//mediapipe/tasks/cc/core:model_resources",
+        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
+    ],
     deps = [
         "//mediapipe/calculators/core:pass_through_calculator",
         "//mediapipe/calculators/image:image_clone_calculator",
@@ -120,10 +126,8 @@ cc_library(
         "//mediapipe/gpu:gpu_origin_cc_proto",
         "//mediapipe/tasks/cc:common",
         "//mediapipe/tasks/cc/components/processors/proto:image_preprocessing_graph_options_cc_proto",
-        "//mediapipe/tasks/cc/core:model_resources",
         "//mediapipe/tasks/cc/core/proto:acceleration_cc_proto",
         "//mediapipe/tasks/cc/core/proto:base_options_cc_proto",
-        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
         "@org_tensorflow//tensorflow/lite/schema:schema_fbs",

mediapipe/tasks/cc/components/processors/image_preprocessing_graph.cc

@@ -271,8 +271,9 @@ class ImagePreprocessingGraph : public Subgraph {
     };
   }
 };
+
 REGISTER_MEDIAPIPE_GRAPH(
-    ::mediapipe::tasks::components::processors::ImagePreprocessingGraph);
+    ::mediapipe::tasks::components::processors::ImagePreprocessingGraph)
 
 }  // namespace processors
 }  // namespace components

mediapipe/tasks/cc/core/BUILD

@@ -91,16 +91,16 @@ cc_library(
     ],
 )
 
-# TODO: Switch to use cc_library_with_tflite after the MediaPipe InferenceCalculator
-# supports TFLite-in-GMSCore.
-cc_library(
+cc_library_with_tflite(
     name = "model_task_graph",
     srcs = ["model_task_graph.cc"],
     hdrs = ["model_task_graph.h"],
-    deps = [
-        ":model_asset_bundle_resources",
+    tflite_deps = [
         ":model_resources",
         ":model_resources_cache",
+    ],
+    deps = [
+        ":model_asset_bundle_resources",
         ":model_resources_calculator",
         "//mediapipe/calculators/tensor:inference_calculator_cc_proto",
         "//mediapipe/framework:calculator_cc_proto",
@@ -224,19 +224,16 @@ cc_library_with_tflite(
     alwayslink = 1,
 )
 
-cc_test_with_tflite(
+cc_test(
     name = "model_resources_calculator_test",
     srcs = ["model_resources_calculator_test.cc"],
     data = [
         "//mediapipe/tasks/testdata/core:test_models",
     ],
-    tflite_deps = [
+    deps = [
         ":model_resources",
         ":model_resources_cache",
         ":model_resources_calculator",
-        "@org_tensorflow//tensorflow/lite:test_util",
-    ],
-    deps = [
         "//mediapipe/framework/port:gtest_main",
         "//mediapipe/framework/port:parse_text_proto",
         "//mediapipe/tasks/cc/core/proto:external_file_cc_proto",
@@ -245,6 +242,7 @@ cc_test_with_tflite(
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
         "@com_google_absl//absl/strings",
+        "@org_tensorflow//tensorflow/lite:test_util",
         "@org_tensorflow//tensorflow/lite/core/api:op_resolver",
     ],
 )
@@ -303,22 +301,26 @@ cc_test_with_tflite(
     ],
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "base_task_api",
     hdrs = ["base_task_api.h"],
-    deps = [
+    tflite_deps = [
         ":task_runner",
+    ],
+    deps = [
         "//mediapipe/calculators/core:flow_limiter_calculator",
     ],
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "task_api_factory",
     hdrs = ["task_api_factory.h"],
-    deps = [
+    tflite_deps = [
         ":base_task_api",
         ":model_resources",
         ":task_runner",
+    ],
+    deps = [
         ":utils",
         "//mediapipe/framework:calculator_cc_proto",
         "//mediapipe/framework:executor",

mediapipe/tasks/cc/core/model_task_graph.cc

@@ -31,6 +31,7 @@ limitations under the License.
 #include "mediapipe/framework/api2/builder.h"
 #include "mediapipe/framework/api2/port.h"
 #include "mediapipe/framework/calculator.pb.h"
+#include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/tasks/cc/common.h"
 #include "mediapipe/tasks/cc/core/model_asset_bundle_resources.h"
 #include "mediapipe/tasks/cc/core/model_resources.h"
@@ -147,7 +148,8 @@ class InferenceSubgraph : public Subgraph {
     return delegate;
   }
 };
-REGISTER_MEDIAPIPE_GRAPH(::mediapipe::tasks::core::InferenceSubgraph);
+
+REGISTER_MEDIAPIPE_GRAPH(::mediapipe::tasks::core::InferenceSubgraph)
 
 absl::StatusOr<CalculatorGraphConfig> ModelTaskGraph::GetConfig(
     SubgraphContext* sc) {

mediapipe/tasks/cc/vision/core/BUILD

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+load("@org_tensorflow//tensorflow/lite/core/shims:cc_library_with_tflite.bzl", "cc_library_with_tflite")
+
 licenses(["notice"])
 
 package(default_visibility = ["//mediapipe/tasks:internal"])
@@ -31,9 +33,15 @@ cc_library(
     ],
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "base_vision_task_api",
     hdrs = ["base_vision_task_api.h"],
+    tflite_deps = [
+        "//mediapipe/tasks/cc/core:base_task_api",
+        "//mediapipe/tasks/cc/core:task_api_factory",
+        "//mediapipe/tasks/cc/core:task_runner",
+        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
+    ],
     deps = [
         ":image_processing_options",
         ":running_mode",
@@ -42,24 +50,22 @@ cc_library(
         "//mediapipe/framework/formats:image",
         "//mediapipe/framework/formats:rect_cc_proto",
         "//mediapipe/tasks/cc/components/containers:rect",
-        "//mediapipe/tasks/cc/core:base_task_api",
-        "//mediapipe/tasks/cc/core:task_api_factory",
-        "//mediapipe/tasks/cc/core:task_runner",
-        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
         "@com_google_absl//absl/strings",
     ],
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "vision_task_api_factory",
     hdrs = ["vision_task_api_factory.h"],
-    deps = [
+    tflite_deps = [
         ":base_vision_task_api",
+        "//mediapipe/tasks/cc/core:task_api_factory",
+    ],
+    deps = [
         "//mediapipe/calculators/core:flow_limiter_calculator",
         "//mediapipe/framework:calculator_cc_proto",
-        "//mediapipe/tasks/cc/core:task_api_factory",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
         "@com_google_absl//absl/strings",

mediapipe/tasks/cc/vision/face_detector/BUILD

@@ -11,6 +11,7 @@
 # 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.
+load("@org_tensorflow//tensorflow/lite/core/shims:cc_library_with_tflite.bzl", "cc_library_with_tflite")
 
 package(default_visibility = [
     "//mediapipe/tasks:internal",
@@ -18,9 +19,15 @@ package(default_visibility = [
 
 licenses(["notice"])
 
-cc_library(
+cc_library_with_tflite(
     name = "face_detector_graph",
     srcs = ["face_detector_graph.cc"],
+    tflite_deps = [
+        "//mediapipe/tasks/cc/components/processors:image_preprocessing_graph",
+        "//mediapipe/tasks/cc/core:model_task_graph",
+        "//mediapipe/tasks/cc/core:model_resources",
+        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
+    ],
     deps = [
         "//mediapipe/calculators/core:clip_vector_size_calculator",
         "//mediapipe/calculators/core:clip_vector_size_calculator_cc_proto",
@@ -38,6 +45,7 @@ cc_library(
         "//mediapipe/calculators/util:non_max_suppression_calculator_cc_proto",
         "//mediapipe/calculators/util:rect_transformation_calculator",
         "//mediapipe/calculators/util:rect_transformation_calculator_cc_proto",
+        "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework/api2:builder",
         "//mediapipe/framework/api2:port",
         "//mediapipe/framework/formats:detection_cc_proto",
@@ -45,36 +53,34 @@ cc_library(
         "//mediapipe/framework/formats:rect_cc_proto",
         "//mediapipe/framework/formats:tensor",
         "//mediapipe/tasks/cc:common",
-        "//mediapipe/tasks/cc/components/processors:image_preprocessing_graph",
-        "//mediapipe/tasks/cc/core:model_resources",
-        "//mediapipe/tasks/cc/core:model_task_graph",
         "//mediapipe/tasks/cc/core:utils",
         "//mediapipe/tasks/cc/core/proto:inference_subgraph_cc_proto",
         "//mediapipe/tasks/cc/vision/face_detector/proto:face_detector_graph_options_cc_proto",
-        "//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",
     ],
     alwayslink = 1,
 )
 
-cc_library(
+cc_library_with_tflite(
     name = "face_detector",
     srcs = ["face_detector.cc"],
     hdrs = ["face_detector.h"],
+    tflite_deps = [
+        ":face_detector_graph",
+        "//mediapipe/tasks/cc/vision/core:base_vision_task_api",
+        "//mediapipe/tasks/cc/vision/core:vision_task_api_factory",
+    ],
     visibility = ["//visibility:public"],
     deps = [
-        ":face_detector_graph",
         "//mediapipe/framework/api2:builder",
         "//mediapipe/framework/formats:detection_cc_proto",
         "//mediapipe/framework/formats:image",
         "//mediapipe/tasks/cc/components/containers:detection_result",
         "//mediapipe/tasks/cc/core:base_options",
         "//mediapipe/tasks/cc/core:utils",
-        "//mediapipe/tasks/cc/vision/core:base_vision_task_api",
         "//mediapipe/tasks/cc/vision/core:image_processing_options",
         "//mediapipe/tasks/cc/vision/core:running_mode",
-        "//mediapipe/tasks/cc/vision/core:vision_task_api_factory",
         "//mediapipe/tasks/cc/vision/face_detector/proto:face_detector_graph_options_cc_proto",
         "@com_google_absl//absl/status",
         "@com_google_absl//absl/status:statusor",

mediapipe/tasks/cc/vision/face_detector/face_detector_graph.cc

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#include <string>
 #include <vector>
 
 #include "absl/status/status.h"
@@ -26,6 +27,7 @@ limitations under the License.
 #include "mediapipe/calculators/util/rect_transformation_calculator.pb.h"
 #include "mediapipe/framework/api2/builder.h"
 #include "mediapipe/framework/api2/port.h"
+#include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/detection.pb.h"
 #include "mediapipe/framework/formats/image.h"
 #include "mediapipe/framework/formats/rect.pb.h"
@@ -213,14 +215,16 @@ class FaceDetectorGraph : public core::ModelTaskGraph {
   }
 
  private:
+  std::string GetImagePreprocessingGraphName() {
+    return "mediapipe.tasks.components.processors.ImagePreprocessingGraph";
+  }
   absl::StatusOr<FaceDetectionOuts> BuildFaceDetectionSubgraph(
       const FaceDetectorGraphOptions& subgraph_options,
       const core::ModelResources& model_resources, Source<Image> image_in,
       Source<NormalizedRect> norm_rect_in, Graph& graph) {
     // Image preprocessing subgraph to convert image to tensor for the tflite
     // model.
-    auto& preprocessing = graph.AddNode(
-        "mediapipe.tasks.components.processors.ImagePreprocessingGraph");
+    auto& preprocessing = graph.AddNode(GetImagePreprocessingGraphName());
     bool use_gpu =
         components::processors::DetermineImagePreprocessingGpuBackend(
             subgraph_options.base_options().acceleration());
@@ -337,7 +341,7 @@ class FaceDetectorGraph : public core::ModelTaskGraph {
 };
 
 REGISTER_MEDIAPIPE_GRAPH(
-    ::mediapipe::tasks::vision::face_detector::FaceDetectorGraph);
+    ::mediapipe::tasks::vision::face_detector::FaceDetectorGraph)
 
 }  // namespace face_detector
 }  // namespace vision

mediapipe/tasks/cc/vision/face_detector/face_detector_graph_test.cc

@@ -23,6 +23,7 @@ limitations under the License.
 #include "absl/flags/flag.h"
 #include "absl/log/absl_check.h"
 #include "absl/status/statusor.h"
+#include "absl/strings/match.h"
 #include "absl/strings/str_format.h"
 #include "absl/strings/string_view.h"
 #include "mediapipe/framework/api2/builder.h"
@@ -92,11 +93,10 @@ constexpr float kFaceDetectionMaxDiff = 0.01;
 
 // Helper function to create a TaskRunner.
 absl::StatusOr<std::unique_ptr<TaskRunner>> CreateTaskRunner(
-    absl::string_view model_name) {
+    absl::string_view model_name, std::string graph_name) {
   Graph graph;
 
-  auto& face_detector_graph =
-      graph.AddNode("mediapipe.tasks.vision.face_detector.FaceDetectorGraph");
+  auto& face_detector_graph = graph.AddNode(graph_name);
 
   auto options = std::make_unique<FaceDetectorGraphOptions>();
   options->mutable_base_options()->mutable_model_asset()->set_file_name(
@@ -136,6 +136,8 @@ struct TestParams {
   std::string test_image_name;
   // Expected face detection results.
   std::vector<Detection> expected_result;
+  // The name of the mediapipe graph to run.
+  std::string graph_name;
 };
 
 class FaceDetectorGraphTest : public testing::TestWithParam<TestParams> {};
@@ -149,8 +151,9 @@ TEST_P(FaceDetectorGraphTest, Succeed) {
   input_norm_rect.set_y_center(0.5);
   input_norm_rect.set_width(1.0);
   input_norm_rect.set_height(1.0);
-  MP_ASSERT_OK_AND_ASSIGN(
-      auto task_runner, CreateTaskRunner(GetParam().face_detection_model_name));
+  MP_ASSERT_OK_AND_ASSIGN(auto task_runner,
+                          CreateTaskRunner(GetParam().face_detection_model_name,
+                                           GetParam().graph_name));
   auto output_packets = task_runner->Process(
       {{kImageName, MakePacket<Image>(std::move(image))},
        {kNormRectName,
@@ -165,11 +168,15 @@ TEST_P(FaceDetectorGraphTest, Succeed) {
 
 INSTANTIATE_TEST_SUITE_P(
     FaceDetectorGraphTest, FaceDetectorGraphTest,
-    Values(TestParams{.test_name = "ShortRange",
-                      .face_detection_model_name = kShortRangeBlazeFaceModel,
-                      .test_image_name = kPortraitImage,
-                      .expected_result = {GetExpectedFaceDetectionResult(
-                          kPortraitExpectedDetection)}}),
+    Values(
+        TestParams{
+            .test_name = "ShortRange",
+            .face_detection_model_name = kShortRangeBlazeFaceModel,
+            .test_image_name = kPortraitImage,
+            .expected_result = {GetExpectedFaceDetectionResult(
+                kPortraitExpectedDetection)},
+            .graph_name =
+                "mediapipe.tasks.vision.face_detector.FaceDetectorGraph"}, ),
     [](const TestParamInfo<FaceDetectorGraphTest::ParamType>& info) {
       return info.param.test_name;
     });

mediapipe/tasks/cc/vision/face_detector/face_detector_graph_test_task_runner_gms.cc

@@ -0,0 +1,28 @@
+#include "mediapipe/tasks/cc/vision/face_detector/face_detector_graph_test_task_runner_gms.h"
+
+#include <memory>
+#include <utility>
+
+#include "absl/status/statusor.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/tasks/cc/core/task_runner.h"
+#include "tensorflow/lite/core/api/op_resolver.h"
+
+namespace mediapipe {
+namespace tasks {
+namespace vision {
+namespace face_detector {
+namespace test_util {
+
+absl::StatusOr<std::unique_ptr<mediapipe::tasks::core::TaskRunner>>
+CreateTaskRunnerGms(mediapipe::CalculatorGraphConfig config,
+                    std::unique_ptr<tflite::OpResolver> op_resolver) {
+  return mediapipe::tasks::core::TaskRunner::Create(std::move(config),
+                                                    std::move(op_resolver));
+}
+
+}  // namespace test_util
+}  // namespace face_detector
+}  // namespace vision
+}  // namespace tasks
+}  // namespace mediapipe

mediapipe/tasks/cc/vision/face_detector/face_detector_graph_test_task_runner_gms.h

@@ -0,0 +1,27 @@
+#ifndef MEDIAPIPE_TASKS_CC_VISION_FACE_DETECTOR_FACE_DETECTOR_GRAPH_TEST_TASK_RUNNER_GMS_H_
+#define MEDIAPIPE_TASKS_CC_VISION_FACE_DETECTOR_FACE_DETECTOR_GRAPH_TEST_TASK_RUNNER_GMS_H_
+
+#include <memory>
+
+#include "absl/status/statusor.h"
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/tasks/cc/core/task_runner.h"
+#include "tensorflow/lite/core/api/op_resolver.h"
+
+namespace mediapipe {
+namespace tasks {
+namespace vision {
+namespace face_detector {
+namespace test_util {
+
+absl::StatusOr<std::unique_ptr<mediapipe::tasks::core::TaskRunner>>
+CreateTaskRunnerGms(mediapipe::CalculatorGraphConfig config,
+                    std::unique_ptr<tflite::OpResolver> op_resolver = nullptr);
+
+}  // namespace test_util
+}  // namespace face_detector
+}  // namespace vision
+}  // namespace tasks
+}  // namespace mediapipe
+
+#endif  // MEDIAPIPE_TASKS_CC_VISION_FACE_DETECTOR_FACE_DETECTOR_GRAPH_TEST_TASK_RUNNER_GMS_H_