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训练时候加载数据是dataloader.py 222行,是没有对图片做mean和std归一化的,但预测时predict.py -> centernet.py -> util/util.py -> preprocess_input里却对图片做了mean、std归一化,这应该有问题吧?
The text was updated successfully, but these errors were encountered:
120行 image = np.transpose(preprocess_input(image), (2, 0, 1))
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确实,是我没看清。 对图片的处理统一放在get_random_data函数里是不是会更好些。
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训练时候加载数据是dataloader.py 222行,是没有对图片做mean和std归一化的,但预测时predict.py -> centernet.py -> util/util.py -> preprocess_input里却对图片做了mean、std归一化,这应该有问题吧?
The text was updated successfully, but these errors were encountered: