Fabio
c36510c21e
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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Compare the native landmark network against the original ONNX checkpoint."""
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import argparse
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from pathlib import Path
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import cv2
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import numpy as np
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import onnxruntime as ort
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from safetensors.numpy import save_file
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def main():
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--checkpoint", type=Path, required=True)
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parser.add_argument("--video", type=Path, required=True)
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parser.add_argument("--output", type=Path, required=True)
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args = parser.parse_args()
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capture = cv2.VideoCapture(str(args.video))
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ok, frame = capture.read()
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capture.release()
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if not ok:
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raise RuntimeError("Cannot read reference video")
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rgb = cv2.cvtColor(cv2.resize(frame, (192, 192)), cv2.COLOR_BGR2RGB)
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image = np.ascontiguousarray(rgb.transpose(2, 0, 1)[None], dtype=np.float32)
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options = ort.SessionOptions()
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options.intra_op_num_threads = 1
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model = ort.InferenceSession(str(args.checkpoint), sess_options=options, providers=["CPUExecutionProvider"])
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output = model.run(None, {model.get_inputs()[0].name: image})[0]
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args.output.mkdir(parents=True, exist_ok=True)
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save_file({"input": image, "output": np.ascontiguousarray(output)}, args.output / "reference.safetensors")
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print(f"Original landmark graph: {image.shape} -> {output.shape}")
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if __name__ == "__main__":
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main()
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