def generate_patches(input_image):
# print("in generate patchhes")
global global_counter
input_image = crop_center(input_image, 384, 384)
patches = image.extract_patches_2d(input_image, patch_size, max_patches=50,
random_state=rng)
for counter, i in enumerate(patches):
if np.any(i):
matlabimg.imsave('./data/mias_anomalous/' + str(global_counter) + '.png', i, cmap='gray')
global_counter += 1
#
# convert_pgm_to_png_anomalous()
mias_preprocess.py 文件源码
python
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