BGNet
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why use the gray image to train model
i see that the input channel of the pretrained model is the gray image,why selecting the gray image to train the model ,if using the rgb image to train model ,the performance of the model will be better?when train the stereo matching model ,which image should be used,the gray image or rgb image? thank you
i see that the input channel of the pretrained model is the gray image,why selecting the gray image to train the model ,if using the rgb image to train model ,the performance of the model will be better?when train the stereo matching model ,which image should be used,the gray image or rgb image? thank you
I can't understand your question. What is the pretrained model you mentioned? Res2Net?