47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
# This contains the MediaPipe Hand Landmarker Task.
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#
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# This task takes video frames and outputs synchronized frames along with
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# the detection results for one or more hand categories, using Hand Landmarker.
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load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_declaration", "mediapipe_ts_library")
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package(default_visibility = ["//mediapipe/tasks:internal"])
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licenses(["notice"])
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mediapipe_ts_library(
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name = "hand_landmarker",
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srcs = ["hand_landmarker.ts"],
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deps = [
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":hand_landmarker_types",
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"//mediapipe/framework:calculator_jspb_proto",
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"//mediapipe/framework:calculator_options_jspb_proto",
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"//mediapipe/framework/formats:classification_jspb_proto",
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"//mediapipe/framework/formats:landmark_jspb_proto",
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"//mediapipe/framework/formats:rect_jspb_proto",
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"//mediapipe/tasks/cc/core/proto:base_options_jspb_proto",
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"//mediapipe/tasks/cc/vision/hand_detector/proto:hand_detector_graph_options_jspb_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_jspb_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_graph_options_jspb_proto",
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/containers:landmark",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/vision/core:vision_task_runner",
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"//mediapipe/web/graph_runner:wasm_mediapipe_lib_ts",
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],
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)
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mediapipe_ts_declaration(
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name = "hand_landmarker_types",
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srcs = [
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"hand_landmarker_options.d.ts",
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"hand_landmarker_result.d.ts",
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],
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deps = [
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"//mediapipe/tasks/web/components/containers:category",
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"//mediapipe/tasks/web/components/containers:landmark",
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"//mediapipe/tasks/web/core",
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"//mediapipe/tasks/web/vision/core:vision_task_options",
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],
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)
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