Refactor classifiers public APIs for namespace and naming consistency.
PiperOrigin-RevId: 477705647
This commit is contained in:
parent
554e2a9d69
commit
a8ca669f05
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@ -33,7 +33,7 @@ cc_library(
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:matrix",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/audio/audio_classifier/proto:audio_classifier_options_cc_proto",
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"//mediapipe/tasks/cc/audio/audio_classifier/proto:audio_classifier_graph_options_cc_proto",
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"//mediapipe/tasks/cc/audio/utils:audio_tensor_specs",
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"//mediapipe/tasks/cc/components:classification_postprocessing",
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"//mediapipe/tasks/cc/components:classification_postprocessing_options_cc_proto",
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@ -60,7 +60,7 @@ cc_library(
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":audio_classifier_graph",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/formats:matrix",
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"//mediapipe/tasks/cc/audio/audio_classifier/proto:audio_classifier_options_cc_proto",
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"//mediapipe/tasks/cc/audio/audio_classifier/proto:audio_classifier_graph_options_cc_proto",
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"//mediapipe/tasks/cc/audio/core:audio_task_api_factory",
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"//mediapipe/tasks/cc/audio/core:base_audio_task_api",
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"//mediapipe/tasks/cc/audio/core:running_mode",
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@ -22,7 +22,7 @@ limitations under the License.
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#include "absl/status/statusor.h"
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#include "mediapipe/framework/api2/builder.h"
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#include "mediapipe/framework/formats/matrix.h"
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#include "mediapipe/tasks/cc/audio/audio_classifier/proto/audio_classifier_options.pb.h"
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#include "mediapipe/tasks/cc/audio/audio_classifier/proto/audio_classifier_graph_options.pb.h"
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#include "mediapipe/tasks/cc/audio/core/audio_task_api_factory.h"
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#include "mediapipe/tasks/cc/components/classifier_options.h"
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#include "mediapipe/tasks/cc/components/containers/classifications.pb.h"
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@ -33,6 +33,8 @@ limitations under the License.
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namespace mediapipe {
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namespace tasks {
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namespace audio {
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namespace audio_classifier {
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namespace {
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constexpr char kAudioStreamName[] = "audio_in";
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@ -42,16 +44,13 @@ constexpr char kClassificationResultTag[] = "CLASSIFICATION_RESULT";
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constexpr char kSampleRateName[] = "sample_rate_in";
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constexpr char kSampleRateTag[] = "SAMPLE_RATE";
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constexpr char kSubgraphTypeName[] =
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"mediapipe.tasks.audio.AudioClassifierGraph";
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"mediapipe.tasks.audio.audio_classifier.AudioClassifierGraph";
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constexpr int kMicroSecondsPerMilliSecond = 1000;
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using AudioClassifierOptionsProto =
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audio_classifier::proto::AudioClassifierOptions;
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// Creates a MediaPipe graph config that only contains a single subgraph node of
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// "mediapipe.tasks.audio.AudioClassifierGraph".
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// type "AudioClassifierGraph".
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CalculatorGraphConfig CreateGraphConfig(
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std::unique_ptr<AudioClassifierOptionsProto> options_proto) {
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std::unique_ptr<proto::AudioClassifierGraphOptions> options_proto) {
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api2::builder::Graph graph;
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auto& subgraph = graph.AddNode(kSubgraphTypeName);
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graph.In(kAudioTag).SetName(kAudioStreamName) >> subgraph.In(kAudioTag);
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@ -59,7 +58,8 @@ CalculatorGraphConfig CreateGraphConfig(
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graph.In(kSampleRateTag).SetName(kSampleRateName) >>
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subgraph.In(kSampleRateTag);
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}
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subgraph.GetOptions<AudioClassifierOptionsProto>().Swap(options_proto.get());
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subgraph.GetOptions<proto::AudioClassifierGraphOptions>().Swap(
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options_proto.get());
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subgraph.Out(kClassificationResultTag)
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.SetName(kClassificationResultStreamName) >>
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graph.Out(kClassificationResultTag);
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@ -67,10 +67,10 @@ CalculatorGraphConfig CreateGraphConfig(
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}
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// Converts the user-facing AudioClassifierOptions struct to the internal
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// AudioClassifierOptions proto.
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std::unique_ptr<AudioClassifierOptionsProto>
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// AudioClassifierGraphOptions proto.
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std::unique_ptr<proto::AudioClassifierGraphOptions>
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ConvertAudioClassifierOptionsToProto(AudioClassifierOptions* options) {
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auto options_proto = std::make_unique<AudioClassifierOptionsProto>();
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auto options_proto = std::make_unique<proto::AudioClassifierGraphOptions>();
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auto base_options_proto = std::make_unique<tasks::core::proto::BaseOptions>(
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tasks::core::ConvertBaseOptionsToProto(&(options->base_options)));
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options_proto->mutable_base_options()->Swap(base_options_proto.get());
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@ -119,7 +119,7 @@ absl::StatusOr<std::unique_ptr<AudioClassifier>> AudioClassifier::Create(
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};
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}
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return core::AudioTaskApiFactory::Create<AudioClassifier,
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AudioClassifierOptionsProto>(
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proto::AudioClassifierGraphOptions>(
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CreateGraphConfig(std::move(options_proto)),
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std::move(options->base_options.op_resolver), options->running_mode,
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std::move(packets_callback));
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@ -140,6 +140,7 @@ absl::Status AudioClassifier::ClassifyAsync(Matrix audio_block,
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.At(Timestamp(timestamp_ms * kMicroSecondsPerMilliSecond))}});
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}
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} // namespace audio_classifier
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} // namespace audio
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} // namespace tasks
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} // namespace mediapipe
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@ -30,6 +30,7 @@ limitations under the License.
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namespace mediapipe {
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namespace tasks {
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namespace audio {
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namespace audio_classifier {
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// The options for configuring a mediapipe audio classifier task.
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struct AudioClassifierOptions {
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@ -162,6 +163,7 @@ class AudioClassifier : tasks::audio::core::BaseAudioTaskApi {
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absl::Status Close() { return runner_->Close(); }
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};
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} // namespace audio_classifier
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} // namespace audio
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} // namespace tasks
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} // namespace mediapipe
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@ -28,7 +28,7 @@ limitations under the License.
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#include "mediapipe/framework/calculator.pb.h"
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/formats/matrix.h"
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#include "mediapipe/tasks/cc/audio/audio_classifier/proto/audio_classifier_options.pb.h"
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#include "mediapipe/tasks/cc/audio/audio_classifier/proto/audio_classifier_graph_options.pb.h"
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#include "mediapipe/tasks/cc/audio/utils/audio_tensor_specs.h"
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#include "mediapipe/tasks/cc/common.h"
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#include "mediapipe/tasks/cc/components/classification_postprocessing.h"
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@ -44,6 +44,7 @@ limitations under the License.
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namespace mediapipe {
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namespace tasks {
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namespace audio {
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namespace audio_classifier {
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namespace {
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@ -60,10 +61,9 @@ constexpr char kPacketTag[] = "PACKET";
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constexpr char kSampleRateTag[] = "SAMPLE_RATE";
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constexpr char kTensorsTag[] = "TENSORS";
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constexpr char kTimestampsTag[] = "TIMESTAMPS";
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using AudioClassifierOptionsProto =
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audio_classifier::proto::AudioClassifierOptions;
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absl::Status SanityCheckOptions(const AudioClassifierOptionsProto& options) {
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absl::Status SanityCheckOptions(
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const proto::AudioClassifierGraphOptions& options) {
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if (options.base_options().use_stream_mode() &&
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!options.has_default_input_audio_sample_rate()) {
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return CreateStatusWithPayload(absl::StatusCode::kInvalidArgument,
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@ -111,7 +111,7 @@ void ConfigureAudioToTensorCalculator(
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} // namespace
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// A "mediapipe.tasks.audio.AudioClassifierGraph" performs audio classification.
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// An "AudioClassifierGraph" performs audio classification.
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// - Accepts CPU audio buffer and outputs classification results on CPU.
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//
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// Inputs:
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@ -129,12 +129,12 @@ void ConfigureAudioToTensorCalculator(
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//
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// Example:
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// node {
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// calculator: "mediapipe.tasks.audio.AudioClassifierGraph"
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// calculator: "mediapipe.tasks.audio.audio_classifier.AudioClassifierGraph"
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// input_stream: "AUDIO:audio_in"
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// input_stream: "SAMPLE_RATE:sample_rate_in"
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// output_stream: "CLASSIFICATION_RESULT:classification_result_out"
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// options {
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// [mediapipe.tasks.audio.audio_classifier.proto.AudioClassifierOptions.ext]
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// [mediapipe.tasks.audio.audio_classifier.proto.AudioClassifierGraphOptions.ext]
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// {
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// base_options {
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// model_asset {
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@ -152,16 +152,18 @@ class AudioClassifierGraph : public core::ModelTaskGraph {
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public:
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absl::StatusOr<CalculatorGraphConfig> GetConfig(
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SubgraphContext* sc) override {
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ASSIGN_OR_RETURN(const auto* model_resources,
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CreateModelResources<AudioClassifierOptionsProto>(sc));
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ASSIGN_OR_RETURN(
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const auto* model_resources,
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CreateModelResources<proto::AudioClassifierGraphOptions>(sc));
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Graph graph;
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const bool use_stream_mode = sc->Options<AudioClassifierOptionsProto>()
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const bool use_stream_mode =
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sc->Options<proto::AudioClassifierGraphOptions>()
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.base_options()
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.use_stream_mode();
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ASSIGN_OR_RETURN(
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auto classification_result_out,
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BuildAudioClassificationTask(
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sc->Options<AudioClassifierOptionsProto>(), *model_resources,
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sc->Options<proto::AudioClassifierGraphOptions>(), *model_resources,
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graph[Input<Matrix>(kAudioTag)],
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use_stream_mode
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? absl::nullopt
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@ -178,14 +180,14 @@ class AudioClassifierGraph : public core::ModelTaskGraph {
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// buffer (mediapipe::Matrix) and the corresponding sample rate (double) as
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// the inputs and returns one classification result per input audio buffer.
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//
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// task_options: the mediapipe tasks AudioClassifierOptions proto.
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// task_options: the mediapipe tasks AudioClassifierGraphOptions proto.
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// model_resources: the ModelSources object initialized from an audio
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// classifier model file with model metadata.
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// audio_in: (mediapipe::Matrix) stream to run audio classification on.
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// sample_rate_in: (double) optional stream of the input audio sample rate.
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// graph: the mediapipe builder::Graph instance to be updated.
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absl::StatusOr<Source<ClassificationResult>> BuildAudioClassificationTask(
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const AudioClassifierOptionsProto& task_options,
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const proto::AudioClassifierGraphOptions& task_options,
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const core::ModelResources& model_resources, Source<Matrix> audio_in,
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absl::optional<Source<double>> sample_rate_in, Graph& graph) {
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MP_RETURN_IF_ERROR(SanityCheckOptions(task_options));
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@ -257,8 +259,10 @@ class AudioClassifierGraph : public core::ModelTaskGraph {
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}
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};
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REGISTER_MEDIAPIPE_GRAPH(::mediapipe::tasks::audio::AudioClassifierGraph);
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REGISTER_MEDIAPIPE_GRAPH(
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::mediapipe::tasks::audio::audio_classifier::AudioClassifierGraph);
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} // namespace audio_classifier
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} // namespace audio
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} // namespace tasks
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} // namespace mediapipe
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@ -44,6 +44,7 @@ limitations under the License.
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namespace mediapipe {
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namespace tasks {
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namespace audio {
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namespace audio_classifier {
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namespace {
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using ::absl::StatusOr;
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@ -557,6 +558,7 @@ TEST_F(ClassifyAsyncTest, SucceedsWithNonDeterministicNumAudioSamples) {
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}
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} // namespace
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} // namespace audio_classifier
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} // namespace audio
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} // namespace tasks
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} // namespace mediapipe
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@ -19,8 +19,8 @@ package(default_visibility = ["//mediapipe/tasks:internal"])
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licenses(["notice"])
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mediapipe_proto_library(
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name = "audio_classifier_options_proto",
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srcs = ["audio_classifier_options.proto"],
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name = "audio_classifier_graph_options_proto",
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srcs = ["audio_classifier_graph_options.proto"],
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deps = [
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"//mediapipe/framework:calculator_options_proto",
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"//mediapipe/framework:calculator_proto",
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@ -21,9 +21,9 @@ import "mediapipe/framework/calculator.proto";
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import "mediapipe/tasks/cc/components/proto/classifier_options.proto";
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import "mediapipe/tasks/cc/core/proto/base_options.proto";
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message AudioClassifierOptions {
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message AudioClassifierGraphOptions {
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extend mediapipe.CalculatorOptions {
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optional AudioClassifierOptions ext = 451755788;
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optional AudioClassifierGraphOptions ext = 451755788;
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}
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// Base options for configuring MediaPipe Tasks, such as specifying the TfLite
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// model file with metadata, accelerator options, etc.
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@ -33,7 +33,7 @@ cc_library(
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"//mediapipe/tasks/cc/components/containers:classifications_cc_proto",
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"//mediapipe/tasks/cc/core:model_resources",
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"//mediapipe/tasks/cc/core:model_task_graph",
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"//mediapipe/tasks/cc/vision/image_classifier/proto:image_classifier_options_cc_proto",
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"//mediapipe/tasks/cc/vision/image_classifier/proto:image_classifier_graph_options_cc_proto",
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"@com_google_absl//absl/status:statusor",
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],
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alwayslink = 1,
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@ -61,7 +61,7 @@ cc_library(
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"//mediapipe/tasks/cc/vision/core:base_vision_task_api",
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"//mediapipe/tasks/cc/vision/core:running_mode",
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"//mediapipe/tasks/cc/vision/core:vision_task_api_factory",
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"//mediapipe/tasks/cc/vision/image_classifier/proto:image_classifier_options_cc_proto",
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"//mediapipe/tasks/cc/vision/image_classifier/proto:image_classifier_graph_options_cc_proto",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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],
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@ -36,11 +36,12 @@ limitations under the License.
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#include "mediapipe/tasks/cc/core/utils.h"
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#include "mediapipe/tasks/cc/vision/core/running_mode.h"
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#include "mediapipe/tasks/cc/vision/core/vision_task_api_factory.h"
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#include "mediapipe/tasks/cc/vision/image_classifier/proto/image_classifier_options.pb.h"
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#include "mediapipe/tasks/cc/vision/image_classifier/proto/image_classifier_graph_options.pb.h"
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namespace mediapipe {
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namespace tasks {
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namespace vision {
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namespace image_classifier {
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namespace {
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@ -52,12 +53,10 @@ constexpr char kImageTag[] = "IMAGE";
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constexpr char kNormRectName[] = "norm_rect_in";
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constexpr char kNormRectTag[] = "NORM_RECT";
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constexpr char kSubgraphTypeName[] =
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"mediapipe.tasks.vision.ImageClassifierGraph";
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"mediapipe.tasks.vision.image_classifier.ImageClassifierGraph";
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constexpr int kMicroSecondsPerMilliSecond = 1000;
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using ::mediapipe::tasks::core::PacketMap;
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using ImageClassifierOptionsProto =
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image_classifier::proto::ImageClassifierOptions;
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// Builds a NormalizedRect covering the entire image.
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NormalizedRect BuildFullImageNormRect() {
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@ -70,17 +69,17 @@ NormalizedRect BuildFullImageNormRect() {
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}
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// Creates a MediaPipe graph config that contains a subgraph node of
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// "mediapipe.tasks.vision.ImageClassifierGraph". If the task is running in the
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// live stream mode, a "FlowLimiterCalculator" will be added to limit the number
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// of frames in flight.
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// type "ImageClassifierGraph". If the task is running in the live stream mode,
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// a "FlowLimiterCalculator" will be added to limit the number of frames in
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// flight.
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CalculatorGraphConfig CreateGraphConfig(
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std::unique_ptr<ImageClassifierOptionsProto> options_proto,
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std::unique_ptr<proto::ImageClassifierGraphOptions> options_proto,
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bool enable_flow_limiting) {
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api2::builder::Graph graph;
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graph.In(kImageTag).SetName(kImageInStreamName);
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graph.In(kNormRectTag).SetName(kNormRectName);
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auto& task_subgraph = graph.AddNode(kSubgraphTypeName);
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task_subgraph.GetOptions<ImageClassifierOptionsProto>().Swap(
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task_subgraph.GetOptions<proto::ImageClassifierGraphOptions>().Swap(
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options_proto.get());
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task_subgraph.Out(kClassificationResultTag)
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.SetName(kClassificationResultStreamName) >>
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@ -98,10 +97,10 @@ CalculatorGraphConfig CreateGraphConfig(
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}
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// Converts the user-facing ImageClassifierOptions struct to the internal
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// ImageClassifierOptions proto.
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std::unique_ptr<ImageClassifierOptionsProto>
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// ImageClassifierGraphOptions proto.
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std::unique_ptr<proto::ImageClassifierGraphOptions>
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ConvertImageClassifierOptionsToProto(ImageClassifierOptions* options) {
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auto options_proto = std::make_unique<ImageClassifierOptionsProto>();
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auto options_proto = std::make_unique<proto::ImageClassifierGraphOptions>();
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auto base_options_proto = std::make_unique<tasks::core::proto::BaseOptions>(
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tasks::core::ConvertBaseOptionsToProto(&(options->base_options)));
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options_proto->mutable_base_options()->Swap(base_options_proto.get());
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@ -145,7 +144,7 @@ absl::StatusOr<std::unique_ptr<ImageClassifier>> ImageClassifier::Create(
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};
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}
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return core::VisionTaskApiFactory::Create<ImageClassifier,
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ImageClassifierOptionsProto>(
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proto::ImageClassifierGraphOptions>(
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CreateGraphConfig(
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std::move(options_proto),
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options->running_mode == core::RunningMode::LIVE_STREAM),
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@ -214,6 +213,7 @@ absl::Status ImageClassifier::ClassifyAsync(Image image, int64 timestamp_ms,
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.At(Timestamp(timestamp_ms * kMicroSecondsPerMilliSecond))}});
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}
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} // namespace image_classifier
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} // namespace vision
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} // namespace tasks
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} // namespace mediapipe
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@ -32,6 +32,7 @@ limitations under the License.
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namespace mediapipe {
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namespace tasks {
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namespace vision {
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namespace image_classifier {
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// The options for configuring a Mediapipe image classifier task.
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struct ImageClassifierOptions {
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@ -161,6 +162,7 @@ class ImageClassifier : tasks::vision::core::BaseVisionTaskApi {
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absl::Status Close() { return runner_->Close(); }
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};
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} // namespace image_classifier
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} // namespace vision
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} // namespace tasks
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} // namespace mediapipe
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@ -29,11 +29,12 @@ limitations under the License.
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#include "mediapipe/tasks/cc/components/image_preprocessing_options.pb.h"
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#include "mediapipe/tasks/cc/core/model_resources.h"
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#include "mediapipe/tasks/cc/core/model_task_graph.h"
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#include "mediapipe/tasks/cc/vision/image_classifier/proto/image_classifier_options.pb.h"
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#include "mediapipe/tasks/cc/vision/image_classifier/proto/image_classifier_graph_options.pb.h"
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namespace mediapipe {
|
||||
namespace tasks {
|
||||
namespace vision {
|
||||
namespace image_classifier {
|
||||
|
||||
namespace {
|
||||
|
||||
|
@ -42,8 +43,6 @@ using ::mediapipe::api2::Output;
|
|||
using ::mediapipe::api2::builder::GenericNode;
|
||||
using ::mediapipe::api2::builder::Graph;
|
||||
using ::mediapipe::api2::builder::Source;
|
||||
using ImageClassifierOptionsProto =
|
||||
image_classifier::proto::ImageClassifierOptions;
|
||||
|
||||
constexpr float kDefaultScoreThreshold = std::numeric_limits<float>::lowest();
|
||||
|
||||
|
@ -61,8 +60,7 @@ struct ImageClassifierOutputStreams {
|
|||
|
||||
} // namespace
|
||||
|
||||
// A "mediapipe.tasks.vision.ImageClassifierGraph" performs image
|
||||
// classification.
|
||||
// An "ImageClassifierGraph" performs image classification.
|
||||
// - Accepts CPU input images and outputs classifications on CPU.
|
||||
//
|
||||
// Inputs:
|
||||
|
@ -80,12 +78,12 @@ struct ImageClassifierOutputStreams {
|
|||
//
|
||||
// Example:
|
||||
// node {
|
||||
// calculator: "mediapipe.tasks.vision.ImageClassifierGraph"
|
||||
// calculator: "mediapipe.tasks.vision.image_classifier.ImageClassifierGraph"
|
||||
// input_stream: "IMAGE:image_in"
|
||||
// output_stream: "CLASSIFICATION_RESULT:classification_result_out"
|
||||
// output_stream: "IMAGE:image_out"
|
||||
// options {
|
||||
// [mediapipe.tasks.vision.image_classifier.proto.ImageClassifierOptions.ext]
|
||||
// [mediapipe.tasks.vision.image_classifier.proto.ImageClassifierGraphOptions.ext]
|
||||
// {
|
||||
// base_options {
|
||||
// model_asset {
|
||||
|
@ -104,13 +102,14 @@ class ImageClassifierGraph : public core::ModelTaskGraph {
|
|||
public:
|
||||
absl::StatusOr<CalculatorGraphConfig> GetConfig(
|
||||
SubgraphContext* sc) override {
|
||||
ASSIGN_OR_RETURN(const auto* model_resources,
|
||||
CreateModelResources<ImageClassifierOptionsProto>(sc));
|
||||
ASSIGN_OR_RETURN(
|
||||
const auto* model_resources,
|
||||
CreateModelResources<proto::ImageClassifierGraphOptions>(sc));
|
||||
Graph graph;
|
||||
ASSIGN_OR_RETURN(
|
||||
auto output_streams,
|
||||
BuildImageClassificationTask(
|
||||
sc->Options<ImageClassifierOptionsProto>(), *model_resources,
|
||||
sc->Options<proto::ImageClassifierGraphOptions>(), *model_resources,
|
||||
graph[Input<Image>(kImageTag)],
|
||||
graph[Input<NormalizedRect>::Optional(kNormRectTag)], graph));
|
||||
output_streams.classification_result >>
|
||||
|
@ -125,13 +124,13 @@ class ImageClassifierGraph : public core::ModelTaskGraph {
|
|||
// (mediapipe::Image) as input and returns one classification result per input
|
||||
// image.
|
||||
//
|
||||
// task_options: the mediapipe tasks ImageClassifierOptions.
|
||||
// task_options: the mediapipe tasks ImageClassifierGraphOptions.
|
||||
// model_resources: the ModelSources object initialized from an image
|
||||
// classification model file with model metadata.
|
||||
// image_in: (mediapipe::Image) stream to run classification on.
|
||||
// graph: the mediapipe builder::Graph instance to be updated.
|
||||
absl::StatusOr<ImageClassifierOutputStreams> BuildImageClassificationTask(
|
||||
const ImageClassifierOptionsProto& task_options,
|
||||
const proto::ImageClassifierGraphOptions& task_options,
|
||||
const core::ModelResources& model_resources, Source<Image> image_in,
|
||||
Source<NormalizedRect> norm_rect_in, Graph& graph) {
|
||||
// Adds preprocessing calculators and connects them to the graph input image
|
||||
|
@ -168,8 +167,10 @@ class ImageClassifierGraph : public core::ModelTaskGraph {
|
|||
/*image=*/preprocessing[Output<Image>(kImageTag)]};
|
||||
}
|
||||
};
|
||||
REGISTER_MEDIAPIPE_GRAPH(::mediapipe::tasks::vision::ImageClassifierGraph);
|
||||
REGISTER_MEDIAPIPE_GRAPH(
|
||||
::mediapipe::tasks::vision::image_classifier::ImageClassifierGraph);
|
||||
|
||||
} // namespace image_classifier
|
||||
} // namespace vision
|
||||
} // namespace tasks
|
||||
} // namespace mediapipe
|
||||
|
|
|
@ -44,6 +44,7 @@ limitations under the License.
|
|||
namespace mediapipe {
|
||||
namespace tasks {
|
||||
namespace vision {
|
||||
namespace image_classifier {
|
||||
namespace {
|
||||
|
||||
using ::mediapipe::file::JoinPath;
|
||||
|
@ -814,6 +815,7 @@ TEST_F(LiveStreamModeTest, SucceedsWithRegionOfInterest) {
|
|||
}
|
||||
|
||||
} // namespace
|
||||
} // namespace image_classifier
|
||||
} // namespace vision
|
||||
} // namespace tasks
|
||||
} // namespace mediapipe
|
||||
|
|
|
@ -19,8 +19,8 @@ package(default_visibility = ["//mediapipe/tasks:internal"])
|
|||
licenses(["notice"])
|
||||
|
||||
mediapipe_proto_library(
|
||||
name = "image_classifier_options_proto",
|
||||
srcs = ["image_classifier_options.proto"],
|
||||
name = "image_classifier_graph_options_proto",
|
||||
srcs = ["image_classifier_graph_options.proto"],
|
||||
deps = [
|
||||
"//mediapipe/framework:calculator_options_proto",
|
||||
"//mediapipe/framework:calculator_proto",
|
||||
|
|
|
@ -21,9 +21,9 @@ import "mediapipe/framework/calculator.proto";
|
|||
import "mediapipe/tasks/cc/components/proto/classifier_options.proto";
|
||||
import "mediapipe/tasks/cc/core/proto/base_options.proto";
|
||||
|
||||
message ImageClassifierOptions {
|
||||
message ImageClassifierGraphOptions {
|
||||
extend mediapipe.CalculatorOptions {
|
||||
optional ImageClassifierOptions ext = 456383383;
|
||||
optional ImageClassifierGraphOptions ext = 456383383;
|
||||
}
|
||||
// Base options for configuring MediaPipe Tasks, such as specifying the TfLite
|
||||
// model file with metadata, accelerator options, etc.
|
Loading…
Reference in New Issue
Block a user