172 lines
8.1 KiB
Python
172 lines
8.1 KiB
Python
# Copyright 2022 The MediaPipe Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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package(default_visibility = [
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"//mediapipe/tasks:internal",
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])
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licenses(["notice"])
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# Docs for Mediapipe Tasks Hand Landmarker
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# https://developers.google.com/mediapipe/solutions/vision/hand_landmarker
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cc_library(
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name = "hand_landmarker",
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srcs = ["hand_landmarker.cc"],
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hdrs = ["hand_landmarker.h"],
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visibility = ["//visibility:public"],
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deps = [
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":hand_landmarker_graph",
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":hand_landmarker_result",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components/processors:classifier_options",
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"//mediapipe/tasks/cc/components/processors/proto:classifier_options_cc_proto",
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"//mediapipe/tasks/cc/core:base_options",
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"//mediapipe/tasks/cc/core:base_task_api",
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"//mediapipe/tasks/cc/core:model_resources",
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"//mediapipe/tasks/cc/core:task_runner",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/core/proto:inference_subgraph_cc_proto",
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"//mediapipe/tasks/cc/vision/core:base_vision_task_api",
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"//mediapipe/tasks/cc/vision/core:image_processing_options",
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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/hand_detector/proto:hand_detector_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_graph_options_cc_proto",
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"@com_google_absl//absl/status:statusor",
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],
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)
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cc_library(
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name = "hand_landmark",
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hdrs = ["hand_landmark.h"],
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visibility = ["//visibility:public"],
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)
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cc_library(
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name = "hand_landmarks_detector_graph",
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srcs = ["hand_landmarks_detector_graph.cc"],
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deps = [
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_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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"//mediapipe/calculators/core:split_vector_calculator",
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"//mediapipe/calculators/core:split_vector_calculator_cc_proto",
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"//mediapipe/calculators/image:image_properties_calculator",
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"//mediapipe/calculators/tensor:inference_calculator",
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"//mediapipe/calculators/tensor:tensors_to_classification_calculator",
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"//mediapipe/calculators/tensor:tensors_to_classification_calculator_cc_proto",
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"//mediapipe/calculators/tensor:tensors_to_floats_calculator",
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"//mediapipe/calculators/tensor:tensors_to_landmarks_calculator",
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"//mediapipe/calculators/tensor:tensors_to_landmarks_calculator_cc_proto",
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"//mediapipe/calculators/util:landmark_letterbox_removal_calculator",
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"//mediapipe/calculators/util:landmark_projection_calculator",
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"//mediapipe/calculators/util:rect_transformation_calculator",
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"//mediapipe/calculators/util:rect_transformation_calculator_cc_proto",
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"//mediapipe/calculators/util:thresholding_calculator",
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"//mediapipe/calculators/util:thresholding_calculator_cc_proto",
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"//mediapipe/calculators/util:world_landmark_projection_calculator",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/formats:tensor",
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# TODO: move calculators in modules/hand_landmark/calculators to tasks dir.
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"//mediapipe/modules/hand_landmark/calculators:hand_landmarks_to_rect_calculator",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components/utils:gate",
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"//mediapipe/tasks/cc/components/processors:image_preprocessing_graph",
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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/core:utils",
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"//mediapipe/tasks/cc/core/proto:inference_subgraph_cc_proto",
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"//mediapipe/tasks/cc/vision/utils:image_tensor_specs",
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"//mediapipe/util:label_map_cc_proto",
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"//mediapipe/util:label_map_util",
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"//mediapipe/tasks/cc/metadata:metadata_extractor",
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"//mediapipe/tasks/metadata:metadata_schema_cc",
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],
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alwayslink = 1,
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)
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# TODO: Enable this test
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cc_library(
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name = "hand_landmarker_graph",
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srcs = ["hand_landmarker_graph.cc"],
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deps = [
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":hand_landmarks_detector_graph",
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"//mediapipe/calculators/core:begin_loop_calculator",
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"//mediapipe/calculators/core:clip_vector_size_calculator_cc_proto",
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"//mediapipe/calculators/core:end_loop_calculator",
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"//mediapipe/calculators/core:gate_calculator",
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"//mediapipe/calculators/core:gate_calculator_cc_proto",
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"//mediapipe/calculators/core:pass_through_calculator",
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"//mediapipe/calculators/core:previous_loopback_calculator",
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"//mediapipe/calculators/image:image_properties_calculator",
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"//mediapipe/calculators/util:collection_has_min_size_calculator",
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"//mediapipe/calculators/util:collection_has_min_size_calculator_cc_proto",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:detection_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/formats:tensor",
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"//mediapipe/framework/port:status",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components/utils:gate",
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"//mediapipe/tasks/cc/core:model_asset_bundle_resources",
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"//mediapipe/tasks/cc/core:model_resources_cache",
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"//mediapipe/tasks/cc/core:model_task_graph",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/metadata/utils:zip_utils",
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"//mediapipe/tasks/cc/vision/hand_detector:hand_detector_graph",
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"//mediapipe/tasks/cc/vision/hand_detector/proto:hand_detector_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/calculators:hand_association_calculator",
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"//mediapipe/tasks/cc/vision/hand_landmarker/calculators:hand_association_calculator_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/calculators:hand_landmarks_deduplication_calculator",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_graph_options_cc_proto",
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"//mediapipe/util:graph_builder_utils",
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],
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alwayslink = 1,
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)
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# TODO: open source hand joints graph
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cc_library(
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name = "hand_landmarker_result",
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srcs = ["hand_landmarker_result.cc"],
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hdrs = ["hand_landmarker_result.h"],
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visibility = ["//visibility:public"],
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deps = [
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/tasks/cc/components/containers:classification_result",
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"//mediapipe/tasks/cc/components/containers:landmark",
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],
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)
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# TODO: Enable this test
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