updates
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@ -45,11 +45,12 @@ def detect(save_img=False):
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if ONNX_EXPORT:
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model.fuse()
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img = torch.zeros((1, 3) + img_size) # (1, 3, 320, 192)
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torch.onnx.export(model, img, 'weights/export.onnx', verbose=False, opset_version=11)
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f = opt.weights.replace(opt.weights.split('.')[-1], 'onnx') # *.onnx filename
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torch.onnx.export(model, img, f, verbose=False, opset_version=11)
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# Validate exported model
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import onnx
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model = onnx.load('weights/export.onnx') # Load the ONNX model
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model = onnx.load(f) # Load the ONNX model
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onnx.checker.check_model(model) # Check that the IR is well formed
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print(onnx.helper.printable_graph(model.graph)) # Print a human readable representation of the graph
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return
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