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sbb_pixelwise_segmentation
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Code Issues Releases Wiki Activity

new augmentations for patchwise training

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pull/18/head
vahidrezanezhad 4 months ago
parent 5f456cf508
commit cca4d17823
1 changed files with 60 additions and 4 deletions
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64
utils.py
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@ -823,6 +823,53 @@ def provide_patches(imgs_list_train, segs_list_train, dir_img, dir_seg, dir_flow
img_max_rotated,
label_max_rotated,
input_height, input_width, indexer=indexer)
if channels_shuffling:
for shuffle_index in shuffle_indexes:
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
return_shuffled_channels(cv2.imread(dir_img + '/' + im), shuffle_index),
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
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_chosen)
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
img_with_overlayed_background,
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
if adding_rgb_foreground:
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)
foreground_rgb_chosen_name = random.choice(list_all_possible_foreground_rgbs)
img_rgb_background_chosen = cv2.imread(dir_rgb_backgrounds + '/' + background_image_chosen_name)
foreground_rgb_chosen = np.load(dir_rgb_foregrounds + '/' + foreground_rgb_chosen_name)
img_with_overlayed_background = return_binary_image_with_given_rgb_background_and_given_foreground_rgb(img_bin_corr, img_rgb_background_chosen, foreground_rgb_chosen)
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
img_with_overlayed_background,
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
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)
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
img_red_context,
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
if flip_aug:
for f_i in flip_index:
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
@ -871,10 +918,19 @@ def provide_patches(imgs_list_train, segs_list_train, dir_img, dir_seg, dir_flow
input_height, input_width, indexer=indexer)
if binarization:
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
otsu_copy(cv2.imread(dir_img + '/' + im)),
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
if dir_img_bin:
img_bin_corr = cv2.imread(dir_img_bin + '/' + img_name+'.png')
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
img_bin_corr,
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
else:
indexer = get_patches(dir_flow_train_imgs, dir_flow_train_labels,
otsu_copy(cv2.imread(dir_img + '/' + im)),
cv2.imread(dir_of_label_file),
input_height, input_width, indexer=indexer)
if scaling_brightness:
for sc_ind in scales:

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