I'm sorry to bother you，I just want to retrain the whole model with dataset, I can't just work out with your advice in readme about how to run.
I guess run extract_patches.py can create x_dataset_first_part.npy and y_dataset_first_part.npy. Run concatenate() to gen y_training.npy , x_training.npy , y_valid.npy and x_valid.npy.But in the first line of concatenate(). There are
Y_labels_2=np.load("y_dataset_second_part.npy").astype(np.uint8)
X_patches_2=np.load("x_dataset_second_part.npy").astype(np.float32)
where are x_dataset_second_part.npy and y_dataset_second_part.npy? How can I gen them?
I'm sorry to bother you，I just want to retrain the whole model with dataset, I can't just work out with your advice in readme about how to run. I guess run extract_patches.py can create x_dataset_first_part.npy and y_dataset_first_part.npy. Run concatenate() to gen y_training.npy , x_training.npy , y_valid.npy and x_valid.npy.But in the first line of concatenate(). There are
Y_labels_2=np.load("y_dataset_second_part.npy").astype(np.uint8) X_patches_2=np.load("x_dataset_second_part.npy").astype(np.float32) where are x_dataset_second_part.npy and y_dataset_second_part.npy? How can I gen them?