qurator-spk/sbb_pixelwise_segmentation
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scaling, channels shuffling, rgb background and red content added to no patch augmentation

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vahidrezanezhad 2024-08-21 19:33:23 +02:00
parent 95bbdf8040
commit f31219b1c9
3 changed files with 68 additions and 26 deletions
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32
utils.py
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@ -51,6 +51,16 @@ def return_binary_image_with_given_rgb_background_red_textlines(img_bin, img_rgb
return img_final
def return_image_with_red_elements(img, img_bin):
img_final = np.copy(img)
img_final[:,:,0][img_bin[:,:,0]==0] = 0
img_final[:,:,1][img_bin[:,:,0]==0] = 0
img_final[:,:,2][img_bin[:,:,0]==0] = 255
return img_final
def scale_image_for_no_patch(img, label, scale):
h_n = int(img.shape[0]*scale)
w_n = int(img.shape[1]*scale)
@ -631,10 +641,10 @@ def get_patches_num_scale_new(dir_img_f, dir_seg_f, img, label, height, width, i
def provide_patches(imgs_list_train, segs_list_train, dir_img, dir_seg, dir_flow_train_imgs,
dir_flow_train_labels, input_height, input_width, blur_k, blur_aug,
padding_white, padding_black, flip_aug, binarization, scaling, degrading,
brightening, scales, degrade_scales, brightness, flip_index,
padding_white, padding_black, flip_aug, binarization, adding_rgb_background, add_red_textlines, channels_shuffling, scaling, degrading,
brightening, scales, degrade_scales, brightness, flip_index, shuffle_indexes,
scaling_bluring, scaling_brightness, scaling_binarization, rotation,
rotation_not_90, thetha, scaling_flip, task, augmentation=False, patches=False):
rotation_not_90, thetha, scaling_flip, task, augmentation=False, patches=False, dir_img_bin=None,number_of_backgrounds_per_image=None,list_all_possible_background_images=None, dir_rgb_backgrounds=None):
indexer = 0
for im, seg_i in tqdm(zip(imgs_list_train, segs_list_train)):
@ -724,17 +734,29 @@ def provide_patches(imgs_list_train, segs_list_train, dir_img, dir_seg, dir_flow
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png', resize_image(label_scaled, input_height, input_width))
indexer += 1
if rgb_color_background:
if adding_rgb_background:
img_bin_corr = cv2.imread(dir_img_bin + '/' + img_name+'.png')
for i_n in range(number_of_backgrounds_per_image):
background_image_chosen_name = random.choice(list_all_possible_background_images)
img_rgb_background_chosen = cv2.imread(dir_rgb_backgrounds + '/' + background_image_chosen_name)
img_with_overlayed_background = return_binary_image_with_given_rgb_background(img_bin_corr, img_rgb_background)
img_with_overlayed_background = return_binary_image_with_given_rgb_background(img_bin_corr, img_rgb_background_chosen)
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png', resize_image(img_with_overlayed_background, input_height, input_width))
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png',
resize_image(cv2.imread(dir_of_label_file), input_height, input_width))
indexer += 1
if add_red_textlines:
img_bin_corr = cv2.imread(dir_img_bin + '/' + img_name+'.png')
img_red_context = return_image_with_red_elements(cv2.imread(dir_img + '/'+im), img_bin_corr)
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png', resize_image(img_red_context, input_height, input_width))
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png',
resize_image(cv2.imread(dir_of_label_file), input_height, input_width))
indexer += 1