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import numpy as np
from skimage import io
from skimage.segmentation import mark_boundaries
def save_item_for_vis(item, out_file):
mask = item['mask'] > 0.5
if mask.ndim == 3:
mask = mask[0]
img = mark_boundaries(np.transpose(item['image'], (1, 2, 0)),
mask,
color=(1., 0., 0.),
outline_color=(1., 1., 1.),
mode='thick')
if 'inpainted' in item:
inp_img = mark_boundaries(np.transpose(item['inpainted'], (1, 2, 0)),
mask,
color=(1., 0., 0.),
mode='outer')
img = np.concatenate((img, inp_img), axis=1)
img = np.clip(img * 255, 0, 255).astype('uint8')
io.imsave(out_file, img)
def save_mask_for_sidebyside(item, out_file):
mask = item['mask']# > 0.5
if mask.ndim == 3:
mask = mask[0]
mask = np.clip(mask * 255, 0, 255).astype('uint8')
io.imsave(out_file, mask)
def save_img_for_sidebyside(item, out_file):
img = np.transpose(item['image'], (1, 2, 0))
img = np.clip(img * 255, 0, 255).astype('uint8')
io.imsave(out_file, img) |