I get an exception on this line in "train_frcnn.py":
selected_neg_samples = np.random.choice(neg_samples, C.num_rois - len(selected_pos_samples), replace=True).tolist()
But the network continues to train, even though it prints this exception a lot of times. Is this exception ok, and should I leave it to train until the end or?
(I don't know if it matters, but I am using images in .tiff format)
I get an exception on this line in "train_frcnn.py": selected_neg_samples = np.random.choice(neg_samples, C.num_rois - len(selected_pos_samples), replace=True).tolist() But the network continues to train, even though it prints this exception a lot of times. Is this exception ok, and should I leave it to train until the end or? (I don't know if it matters, but I am using images in .tiff format)