openmv/tools/make_patches.py
2021-02-14 16:47:45 +02:00

55 lines
2.0 KiB
Python
Executable File

#!/usr/bin/env python2
# This file is part of the OpenMV project.
#
# Copyright (c) 2013-2021 Ibrahim Abdelkader <iabdalkader@openmv.io>
# Copyright (c) 2013-2021 Kwabena W. Agyeman <kwagyeman@openmv.io>
#
# This work is licensed under the MIT license, see the file LICENSE for details.
#
# This script creates smaller patches from images.
import os, sys
import argparse
import random
import numpy as np
from skimage import io
from skimage import exposure
from sklearn.feature_extraction import image
def main():
# CMD args parser
parser = argparse.ArgumentParser(description='Generate smaller patches from images')
parser.add_argument("--input", action = "store", help = "Input images dir")
parser.add_argument("--output", action = "store", help = "Output images dir")
parser.add_argument("--width", action = "store", help = "Patch width", type=int, default = 32)
parser.add_argument("--height", action = "store", help = "Patch height", type=int, default = 32)
parser.add_argument("--patches", action = "store", help = "Number of patches", type=int, default = 10)
# Parse CMD args
args = parser.parse_args()
if (args.input == None or args.output == None):
parser.print_help()
sys.exit(1)
count = 0
images = os.listdir(args.input)
while (count < args.patches):
random.shuffle(images)
for i in xrange(len(images)):
img = io.imread(args.input+'/'+images[i])
patches = image.extract_patches_2d(img,
patch_size=(args.width, args.height),
max_patches=100, random_state=np.random.RandomState(0))
random.shuffle(patches)
for p in patches:
# Save low contrast patches only
if (exposure.is_low_contrast(p) == False):
io.imsave(args.output+'/patch_%.4d.ppm'%(count), p)
count += 1
break
if (count == args.patches):
break
if __name__ == '__main__':
main()