I have noticed that in all your configuration files you are using INPUT.FORMAT: "RGB" while, during inference, the image is read using img = read_image(path, format="BGR") .
Since I was assuming that the network is trained on RGB images it would benefit to maintain that format. Is there a format conversion (from RGB to BGR) before using the samples as training input? Or is there a reason to use two different format for training/test purposes?
I have noticed that in all your configuration files you are using
INPUT.FORMAT: "RGB"while, during inference, the image is read usingimg = read_image(path, format="BGR"). Since I was assuming that the network is trained on RGB images it would benefit to maintain that format. Is there a format conversion (from RGB to BGR) before using the samples as training input? Or is there a reason to use two different format for training/test purposes?