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38 lines
1.3 KiB
38 lines
1.3 KiB
"""Exports a pytorch *.pt model to *.torchscript format
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Usage:
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$ export PYTHONPATH="$PWD" && python models/torchscript_export.py --weights ./weights/yolov5s.pt --img 640 --batch 1
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"""
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import argparse
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from models.common import *
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from utils import google_utils
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--weights', type=str, default='./yolov5s.pt', help='weights path')
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parser.add_argument('--img-size', nargs='+', type=int, default=[640, 640], help='image size')
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parser.add_argument('--batch-size', type=int, default=1, help='batch size')
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opt = parser.parse_args()
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print(opt)
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# Parameters
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f = opt.weights.replace('.pt', '.torchscript') # onnx filename
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img = torch.zeros((opt.batch_size, 3, *opt.img_size)) # image size, (1, 3, 320, 192) iDetection
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# Load pytorch model
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google_utils.attempt_download(opt.weights)
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model = torch.load(opt.weights, map_location=torch.device('cpu'))['model'].float()
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model.eval()
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# Don't fuse layers, it won't work with torchscript exports
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#model.fuse()
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# Export to jit/torchscript
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model.model[-1].export = True # set Detect() layer export=True
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_ = model(img) # dry run
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traced_script_module = torch.jit.trace(model, img)
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traced_script_module.save(f) |