Update generate_synthetic_dataset.py

generates inverted images now

Author: n0obcoder

generate_synthetic_dataset.py

@@ -292,9 +292,9 @@ def erode_dilate(img, noisy_img):
 def write_images(img, noisy_img, debug_img):
     global img_count
 
-    img       = cv2.resize(img,       (0,0), fx = 1/scale_w, fy = 1/scale_h)
-    noisy_img = cv2.resize(noisy_img, (0,0), fx = 1/scale_w, fy = 1/scale_h)
-    debug_img = cv2.resize(debug_img, (0,0), fx = 1/scale_w, fy = 1/scale_h)
+    img       = 255 - cv2.resize(img,       (0,0), fx = 1/scale_w, fy = 1/scale_h)
+    noisy_img = 255 - cv2.resize(noisy_img, (0,0), fx = 1/scale_w, fy = 1/scale_h)
+    debug_img = 255 - cv2.resize(debug_img, (0,0), fx = 1/scale_w, fy = 1/scale_h)
 
     if img_count <= train_num:            
         cv2.imwrite(os.path.join(data_dir, train_dir, imgs_dir, '{}.jpg'.format(str(img_count).zfill(6))), img)