qurator-spk/sbb_pixelwise_segmentation
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addinh shifting augmentation

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vahidrezanezhad 2024-10-29 17:06:22 +01:00
parent 4150675621
commit 3ef865e0b5
2 changed files with 58 additions and 4 deletions
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55
utils.py
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@ -78,7 +78,50 @@ def return_image_with_red_elements(img, img_bin):
img_final[:,:,2][img_bin[:,:,0]==0] = 255
return img_final
def shift_image_and_label(img, label, type_shift):
h_n = int(img.shape[0]*1.06)
w_n = int(img.shape[1]*1.06)
channel0_avg = int( np.mean(img[:,:,0]) )
channel1_avg = int( np.mean(img[:,:,1]) )
channel2_avg = int( np.mean(img[:,:,2]) )
h_diff = abs( img.shape[0] - h_n )
w_diff = abs( img.shape[1] - w_n )
h_start = int(h_diff / 2.)
w_start = int(w_diff / 2.)
img_scaled_padded = np.zeros((h_n, w_n, 3))
label_scaled_padded = np.zeros((h_n, w_n, 3))
img_scaled_padded[:,:,0] = channel0_avg
img_scaled_padded[:,:,1] = channel1_avg
img_scaled_padded[:,:,2] = channel2_avg
img_scaled_padded[h_start:h_start+img.shape[0], w_start:w_start+img.shape[1],:] = img[:,:,:]
label_scaled_padded[h_start:h_start+img.shape[0], w_start:w_start+img.shape[1],:] = label[:,:,:]
if type_shift=="xpos":
img_dis = img_scaled_padded[h_start:h_start+img.shape[0],2*w_start:2*w_start+img.shape[1],:]
label_dis = label_scaled_padded[h_start:h_start+img.shape[0],2*w_start:2*w_start+img.shape[1],:]
elif type_shift=="xmin":
img_dis = img_scaled_padded[h_start:h_start+img.shape[0],:img.shape[1],:]
label_dis = label_scaled_padded[h_start:h_start+img.shape[0],:img.shape[1],:]
elif type_shift=="ypos":
img_dis = img_scaled_padded[2*h_start:2*h_start+img.shape[0],w_start:w_start+img.shape[1],:]
label_dis = label_scaled_padded[2*h_start:2*h_start+img.shape[0],w_start:w_start+img.shape[1],:]
elif type_shift=="ymin":
img_dis = img_scaled_padded[:img.shape[0],w_start:w_start+img.shape[1],:]
label_dis = label_scaled_padded[:img.shape[0],w_start:w_start+img.shape[1],:]
elif type_shift=="xypos":
img_dis = img_scaled_padded[2*h_start:2*h_start+img.shape[0],2*w_start:2*w_start+img.shape[1],:]
label_dis = label_scaled_padded[2*h_start:2*h_start+img.shape[0],2*w_start:2*w_start+img.shape[1],:]
elif type_shift=="xymin":
img_dis = img_scaled_padded[:img.shape[0],:img.shape[1],:]
label_dis = label_scaled_padded[:img.shape[0],:img.shape[1],:]
return img_dis, label_dis
def scale_image_for_no_patch(img, label, scale):
h_n = int(img.shape[0]*scale)
@ -660,7 +703,7 @@ 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, adding_rgb_background, adding_rgb_foreground, add_red_textlines, channels_shuffling, scaling, degrading,
padding_white, padding_black, flip_aug, binarization, adding_rgb_background, adding_rgb_foreground, add_red_textlines, channels_shuffling, scaling, shifting, 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, dir_img_bin=None,number_of_backgrounds_per_image=None,list_all_possible_background_images=None, dir_rgb_backgrounds=None, dir_rgb_foregrounds=None, list_all_possible_foreground_rgbs=None):
@ -759,6 +802,16 @@ def provide_patches(imgs_list_train, segs_list_train, dir_img, dir_seg, dir_flow
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 shifting:
shift_types = ['xpos', 'xmin', 'ypos', 'ymin', 'xypos', 'xymin']
for st_ind in shift_types:
img_shifted, label_shifted = shift_image_and_label(cv2.imread(dir_img + '/'+im),
cv2.imread(dir_of_label_file), st_ind)
cv2.imwrite(dir_flow_train_imgs + '/img_' + str(indexer) + '.png', resize_image(img_shifted, input_height, input_width))
cv2.imwrite(dir_flow_train_labels + '/img_' + str(indexer) + '.png', resize_image(label_shifted, input_height, input_width))
indexer += 1
if adding_rgb_background:
img_bin_corr = cv2.imread(dir_img_bin + '/' + img_name+'.png')