47 lines
1.5 KiB
Plaintext
47 lines
1.5 KiB
Plaintext
# MediaPipe graph that performs object detection and tracking with TensorFlow
|
|
# Lite on GPU.
|
|
# Used in the examples in
|
|
# mediapipie/examples/android/src/java/com/mediapipe/apps/objecttrackinggpu
|
|
|
|
# Images on GPU coming into and out of the graph.
|
|
input_stream: "input_video"
|
|
output_stream: "output_video"
|
|
|
|
# Resamples the images by specific frame rate. This calculator is used to
|
|
# control the frequecy of subsequent calculators/subgraphs, e.g. less power
|
|
# consumption for expensive process.
|
|
node {
|
|
calculator: "PacketResamplerCalculator"
|
|
input_stream: "DATA:input_video"
|
|
output_stream: "DATA:throttled_input_video"
|
|
node_options: {
|
|
[type.googleapis.com/mediapipe.PacketResamplerCalculatorOptions] {
|
|
frame_rate: 0.5
|
|
}
|
|
}
|
|
}
|
|
|
|
# Subgraph that detections objects (see object_detection_gpu.pbtxt).
|
|
node {
|
|
calculator: "ObjectDetectionSubgraphGpu"
|
|
input_stream: "IMAGE:throttled_input_video"
|
|
output_stream: "DETECTIONS:output_detections"
|
|
}
|
|
|
|
# Subgraph that tracks objects (see object_tracking_gpu.pbtxt).
|
|
node {
|
|
calculator: "ObjectTrackingSubgraphGpu"
|
|
input_stream: "VIDEO:input_video"
|
|
input_stream: "DETECTIONS:output_detections"
|
|
output_stream: "DETECTIONS:tracked_detections"
|
|
}
|
|
|
|
# Subgraph that renders annotations and overlays them on top of the input
|
|
# images (see renderer_gpu.pbtxt).
|
|
node {
|
|
calculator: "RendererSubgraphGpu"
|
|
input_stream: "IMAGE:input_video"
|
|
input_stream: "DETECTIONS:tracked_detections"
|
|
output_stream: "IMAGE:output_video"
|
|
}
|