提交 74290825 编写于 作者: G Glenn Jocher

updates

上级 e23b1a3d
......@@ -60,7 +60,7 @@ def detect(
img = torch.from_numpy(img).unsqueeze(0).to(device)
if ONNX_EXPORT:
torch.onnx.export(model, img, 'weights/model.onnx', verbose=True)
return # ONNX export
return
pred = model(img)
pred = pred[pred[:, :, 4] > conf_thres] # remove boxes < threshold
......
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