83 lines
2.1 KiB
Plaintext
83 lines
2.1 KiB
Plaintext
# MediaPipe graph that performs hair segmentation with TensorFlow Lite on GPU.
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# Used in the example in
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# mediapipie/examples/android/src/java/com/mediapipe/apps/hairsegmentationgpu.
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# Images on GPU coming into and out of the graph.
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input_stream: "input_video"
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output_stream: "output_video"
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node {
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calculator: "FlowLimiterCalculator"
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input_stream: "input_video"
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input_stream: "FINISHED:output_video"
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input_stream_info: {
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tag_index: "FINISHED"
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back_edge: true
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}
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output_stream: "throttled_input_video"
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}
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node: {
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calculator: "ImageTransformationCalculator"
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input_stream: "IMAGE_GPU:throttled_input_video"
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output_stream: "IMAGE_GPU:transformed_input_video"
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node_options: {
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[type.googleapis.com/mediapipe.ImageTransformationCalculatorOptions] {
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output_width: 512
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output_height: 512
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}
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}
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}
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node: {
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calculator: "ImageToTensorCalculator"
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input_stream: "IMAGE_GPU:transformed_input_video"
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output_stream: "TENSORS:input_tensors"
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options {
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[mediapipe.ImageToTensorCalculatorOptions.ext] {
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output_tensor_width: 512
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output_tensor_height: 512
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keep_aspect_ratio: true
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output_tensor_float_range {
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min: 0.0
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max: 255.0
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}
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gpu_origin: TOP_LEFT
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border_mode: BORDER_REPLICATE
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}
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}
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}
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node {
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calculator: "InferenceCalculator"
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input_stream: "TENSORS_GPU:input_tensors"
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output_stream: "TENSORS_GPU:output_tensors"
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options: {
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[mediapipe.InferenceCalculatorOptions.ext] {
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model_path: "mediapipe/models/metaf-512-mobile3.tflite"
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delegate { gpu {} }
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}
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}
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}
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# Processes the output tensors into a segmentation mask that has the same size
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# as the input image into the graph.
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node {
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calculator: "TensorsToSegmentationCalculator"
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input_stream: "TENSORS:output_tensors"
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output_stream: "MASK:mask_image"
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options: {
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[mediapipe.TensorsToSegmentationCalculatorOptions.ext] {
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activation: NONE
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}
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}
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}
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node: {
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calculator: "FromImageCalculator"
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input_stream: "IMAGE:mask_image"
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output_stream: "IMAGE_GPU:output_video"
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}
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