Internal change
PiperOrigin-RevId: 516535124
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@ -30,7 +30,7 @@ constexpr absl::string_view kMediaPipeTasksPayload = "MediaPipeTasksStatus";
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//
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// At runtime, such codes are meant to be attached (where applicable) to a
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// `absl::Status` in a key-value manner with `kMediaPipeTasksPayload` as key and
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// stringifed error code as value (aka payload). This logic is encapsulated in
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// stringified error code as value (aka payload). This logic is encapsulated in
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// the `CreateStatusWithPayload` helper below for convenience.
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//
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// The returned status includes:
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@ -64,7 +64,7 @@ class ModelMetadataPopulator {
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// Loads associated files into the TFLite FlatBuffer model. The input is a map
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// of {filename, file contents}.
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//
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// Warning: this method removes any previoulsy present associated files.
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// Warning: this method removes any previously present associated files.
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// Calling this method multiple time removes any associated files from
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// previous calls, so this method should usually be called only once.
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void LoadAssociatedFiles(
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@ -31,8 +31,8 @@ PYBIND11_MODULE(_pywrap_metadata_version, m) {
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// Using pybind11 type conversions to convert between Python and native
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// C++ types. There are other options to provide access to native Python types
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// in C++ and vice versa. See the pybind 11 instrcution [1] for more details.
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// Type converstions is recommended by pybind11, though the main downside
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// in C++ and vice versa. See the pybind 11 instruction [1] for more details.
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// Type conversions is recommended by pybind11, though the main downside
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// is that a copy of the data must be made on every Python to C++ transition:
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// this is needed since the C++ and Python versions of the same type generally
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// won’t have the same memory layout.
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@ -79,7 +79,7 @@ TEST(MetadataVersionTest,
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auto metadata = metadata_builder.Finish();
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FinishModelMetadataBuffer(builder, metadata);
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -100,7 +100,7 @@ TEST(MetadataVersionTest,
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auto metadata = metadata_builder.Finish();
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builder.Finish(metadata);
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// Gets the mimimum metadata parser version and triggers error.
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// Gets the minimum metadata parser version and triggers error.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -121,7 +121,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_associated_files(associated_files);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -147,7 +147,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -172,7 +172,7 @@ TEST(MetadataVersionTest,
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std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
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CreateModelWithMetadata(tensors, builder);
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -203,7 +203,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -234,7 +234,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -294,7 +294,7 @@ TEST(MetadataVersionTest,
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std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
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CreateModelWithMetadata(tensors, builder);
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -323,7 +323,7 @@ TEST(MetadataVersionTest,
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std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
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CreateModelWithMetadata(tensors, builder);
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -348,7 +348,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -373,7 +373,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -404,7 +404,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -431,7 +431,7 @@ TEST(MetadataVersionTest,
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std::vector<Offset<TensorMetadata>>{tensor_builder.Finish()});
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CreateModelWithMetadata(tensors, builder);
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -453,7 +453,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_associated_files(associated_files);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -476,7 +476,7 @@ TEST(MetadataVersionTest,
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metadata_builder.add_associated_files(associated_files);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -504,7 +504,7 @@ TEST(MetadataVersionTest, GetMinimumMetadataParserVersionForOptions) {
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metadata_builder.add_subgraph_metadata(subgraphs);
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FinishModelMetadataBuffer(builder, metadata_builder.Finish());
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// Gets the mimimum metadata parser version.
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// Gets the minimum metadata parser version.
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std::string min_version;
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EXPECT_EQ(GetMinimumMetadataParserVersion(builder.GetBufferPointer(),
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builder.GetSize(), &min_version),
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@ -34,7 +34,7 @@ constexpr char kTestSPModelPath[] =
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std::unique_ptr<SentencePieceTokenizer> CreateSentencePieceTokenizer(
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absl::string_view model_path) {
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// We are using `LoadBinaryContent()` instead of loading the model direclty
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// We are using `LoadBinaryContent()` instead of loading the model directly
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// via `SentencePieceTokenizer` so that the file can be located on Windows
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std::string buffer = LoadBinaryContent(kTestSPModelPath);
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return absl::make_unique<SentencePieceTokenizer>(buffer.data(),
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@ -127,7 +127,7 @@ absl::Status SetSubTaskBaseOptions(const ModelAssetBundleResources& resources,
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->mutable_acceleration()
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->mutable_xnnpack();
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LOG(WARNING) << "Hand Gesture Recognizer contains CPU only ops. Sets "
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<< "HandGestureRecognizerGraph acceleartion to Xnnpack.";
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<< "HandGestureRecognizerGraph acceleration to Xnnpack.";
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}
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hand_gesture_recognizer_graph_options->mutable_base_options()
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->set_use_stream_mode(options->base_options().use_stream_mode());
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@ -101,7 +101,7 @@ class HandLandmarker : tasks::vision::core::BaseVisionTaskApi {
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// three running modes:
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// 1) Image mode for detecting hand landmarks on single image inputs. Users
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// provide mediapipe::Image to the `Detect` method, and will receive the
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// deteced hand landmarks results as the return value.
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// detected hand landmarks results as the return value.
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// 2) Video mode for detecting hand landmarks on the decoded frames of a
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// video. Users call `DetectForVideo` method, and will receive the detected
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// hand landmarks results as the return value.
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@ -409,7 +409,7 @@ REGISTER_MEDIAPIPE_GRAPH(
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// - Accepts CPU input image and a vector of hand rect RoIs to detect the
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// multiple hands landmarks enclosed by the RoIs. Output vectors of
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// hand landmarks related results, where each element in the vectors
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// corrresponds to the result of the same hand.
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// corresponds to the result of the same hand.
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//
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// Inputs:
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// IMAGE - Image
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@ -52,7 +52,7 @@ constexpr char kMobileNetV3Embedder[] =
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constexpr double kSimilarityTolerancy = 1e-6;
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// Utility function to check the sizes, head_index and head_names of a result
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// procuded by kMobileNetV3Embedder.
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// procduced by kMobileNetV3Embedder.
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void CheckMobileNetV3Result(const ImageEmbedderResult& result, bool quantized) {
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EXPECT_EQ(result.embeddings.size(), 1);
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EXPECT_EQ(result.embeddings[0].head_index, 0);
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@ -233,7 +233,7 @@ table ImageProperties {
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//
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// <Codegen usage>:
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// Input image tensors: NA.
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// Output image tensors: parses the values into a data stucture that represents
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// Output image tensors: parses the values into a data structure that represents
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// bounding boxes. For example, in the generated wrapper for Android, it returns
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// the output as android.graphics.Rect objects.
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enum BoundingBoxType : byte {
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@ -389,7 +389,7 @@ table NormalizationOptions{
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// mean and std are normalization parameters. Tensor values are normalized
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// on a per-channel basis, by the formula
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// (x - mean) / std.
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// If there is only one value in mean or std, we'll propogate the value to
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// If there is only one value in mean or std, we'll propagate the value to
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// all channels.
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//
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// Quantized models share the same normalization parameters as their
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@ -526,7 +526,7 @@ table Stats {
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// Max and min are not currently used in tflite.support codegen. They mainly
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// serve as references for users to better understand the model. They can also
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// be used to validate model pre/post processing results.
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// If there is only one value in max or min, we'll propogate the value to
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// If there is only one value in max or min, we'll propagate the value to
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// all channels.
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// Per-channel maximum value of the tensor.
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@ -542,7 +542,7 @@ table Stats {
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// has four outputs: classes, scores, bounding boxes, and number of detections.
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// If the four outputs are bundled together using TensorGroup (for example,
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// named as "detection result"), the codegen tool will generate the class,
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// `DetectionResult`, which contains the class, score, and bouding box. And the
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// `DetectionResult`, which contains the class, score, and bounding box. And the
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// outputs of the model will be converted to a list of `DetectionResults` and
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// the number of detection. Note that the number of detection is a single
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// number, therefore is inappropriate for the list of `DetectionResult`.
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@ -624,7 +624,7 @@ table SubGraphMetadata {
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// A description explains details about what the subgraph does.
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description:string;
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// Metadata of all input tensors used in this subgraph. It matches extactly
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// Metadata of all input tensors used in this subgraph. It matches exactly
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// the input tensors specified by `SubGraph.inputs` in the TFLite
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// schema.fbs file[2]. The number of `TensorMetadata` in the array should
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// equal to the number of indices in `SubGraph.inputs`.
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@ -634,7 +634,7 @@ table SubGraphMetadata {
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// Determines how to process the inputs.
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input_tensor_metadata:[TensorMetadata];
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// Metadata of all output tensors used in this subgraph. It matches extactly
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// Metadata of all output tensors used in this subgraph. It matches exactly
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// the output tensors specified by `SubGraph.outputs` in the TFLite
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// schema.fbs file[2]. The number of `TensorMetadata` in the array should
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// equal to the number of indices in `SubGraph.outputs`.
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@ -724,7 +724,7 @@ table ModelMetadata {
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// number among the versions of all the fields populated and the smallest
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// compatible version indicated by the file identifier.
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//
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// This field is automaticaly populated by the MetadataPopulator when
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// This field is automatically populated by the MetadataPopulator when
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// the metadata is populated into a TFLite model.
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min_parser_version:string;
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}
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