qurator-spk/sbb_pixelwise_segmentation
1
0
Fork 0
mirror of https://github.com/qurator-spk/sbb_pixelwise_segmentation.git synced 2025-06-09 11:50:04 +02:00
Code Issues Releases Wiki Activity

updating augmentations

Browse source
This commit is contained in:
vahidrezanezhad 2024-08-21 16:17:59 +02:00
parent 7be326d689
commit 95bbdf8040
2 changed files with 46 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

41
utils.py
View file

@ -695,6 +695,47 @@ 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(cv2.imread(dir_of_label_file), input_height, input_width))
indexer += 1
if rotation_not_90:
for thetha_i in thetha:
img_max_rotated, label_max_rotated = rotation_not_90_func(cv2.imread(dir_img + '/'+im),
cv2.imread(dir_of_label_file), thetha_i)
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png', resize_image(img_max_rotated, input_height, input_width))
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png', resize_image(label_max_rotated, input_height, input_width))
indexer += 1
if channels_shuffling:
for shuffle_index in shuffle_indexes:
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png',
(resize_image(return_shuffled_channels(cv2.imread(dir_img + '/' + im), shuffle_index), 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 scaling:
for sc_ind in scales:
img_scaled, label_scaled = scale_image_for_no_patch(cv2.imread(dir_img + '/'+im),
cv2.imread(dir_of_label_file), sc_ind)
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png', resize_image(img_scaled, input_height, input_width))
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png', resize_image(label_scaled, input_height, input_width))
indexer += 1
if rgb_color_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)
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))
if patches: