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split_images.py
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split_images.py
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import os
import numpy as np
import skimage
from skimage import io
import errno
import math
import sys
def mkdir_p(path):
try:
os.makedirs(path)
except OSError as exc: # Python >2.5
if exc.errno == errno.EEXIST and os.path.isdir(path):
pass
else:
raise
def crop_image_4_sqr(file_name, path_dir, out_path_dir):
file_path = path_dir + '/' + file_name
print(file_name)
img = io.imread(file_path)
w, h = img.shape[0], img.shape[1]
w2, h2 = int(math.ceil(w/2)), int(math.ceil(h/2))
overlap_w = 50
overlap_h = 51
folder_name = "Cropped_5overlapping_sqr"
try:
cropped = img[0:w2+overlap_w,0:h2+overlap_h]
io.imsave(os.path.join(out_path_dir, folder_name , "part_1" , os.path.splitext(file_name)[0] + "_1.jpg"), cropped)
cropped = img[0:w2+overlap_w,h2-overlap_h:h]
io.imsave(os.path.join(out_path_dir, folder_name , "part_2" ,os.path.splitext(file_name)[0] + "_2.jpg"), cropped)
cropped = img[w2-overlap_w:w,0:int(math.ceil(h/2)+overlap_h)]
io.imsave(os.path.join(out_path_dir, folder_name , "part_3" ,os.path.splitext(file_name)[0] + "_3.jpg"), cropped)
cropped = img[w2-overlap_w:w,h2-overlap_h:h]
io.imsave(os.path.join(out_path_dir, folder_name , "part_4" ,os.path.splitext(file_name)[0] + "_4.jpg"), cropped)
size_h, size_w = 186, 206
cropped = img[w2- (size_w/2) :w2 +(size_w/2),h2 - (size_h/2):h2 + (size_h/2)]
io.imsave(os.path.join(out_path_dir, folder_name, "part_5" ,os.path.splitext(file_name)[0] + "_5.jpg"), cropped)
except:
print("error occured for; " + file_name)
pass
def main():
target_path_dir = "Image_Datasets/Nexus"# sys.argv[1]
out_path_dir = 'Image_Datasets/Nexus/Splits'
num_noise_imgs = 50
for sub_dir in os.walk(target_path_dir).next()[1]:
print(sub_dir)
for image in os.listdir(target_path_dir + '/' + sub_dir):
if not os.path.isdir(os.path.join(target_path_dir , sub_dir, image)):
output_path = os.path.join(out_path_dir + "/Cropped_5overlapping_sqr/")
if not os.path.exists(output_path):
os.mkdir(output_path)
for part in range(1,6):
os.mkdir(os.path.join(output_path, "part_" + str(part)))
if(image[0] != "." and ".jpg" in image):
crop_image_4_sqr(image, target_path_dir + '/' + sub_dir, out_path_dir)
if __name__ == "__main__":
main()