File size: 2,762 Bytes
5f3481c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | from PIL import Image
import numpy as np
import glob
import pdb
import os
from skimage.io import imsave
import cv2
from tqdm import tqdm
alpha = 0.9
kernel = np.ones((5,5), np.uint8)
lbl_type_list = ['train', 'val', 'test_indomain', 'test_outdomain']
for lbl_type in lbl_type_list:
all_img_dir = '../data/'+lbl_type+'/image'
all_label_dir = '../data/'+lbl_type+'/label'
vis_contact_boundary_dir = '../data/'+lbl_type+'/vis_contact'
contact_boundary_dir = '../data/'+lbl_type+'/label_contact'
os.makedirs(vis_contact_boundary_dir, exist_ok = True)
os.makedirs(contact_boundary_dir, exist_ok = True)
for file in tqdm(glob.glob(all_label_dir + '/*')):
fname = os.path.basename(file)
img = np.array(Image.open(os.path.join(all_img_dir, fname.split('.')[0]+'.jpg')))
label = np.array(Image.open(file))
hand_msk = np.zeros((label.shape))
obj_msk = np.zeros((label.shape))
hand_msk[label==1] = 1
hand_msk[label==2] = 1
obj_msk[label==3] = 1
obj_msk[label==4] = 1
obj_msk[label==5] = 1
hand_msk_dialte = cv2.dilate(hand_msk, kernel, iterations=int(img.shape[1]/456))
obj_msk_dialte = cv2.dilate(obj_msk, kernel, iterations=int(img.shape[1]/456))
merge_hand_obj = hand_msk_dialte + obj_msk_dialte
contact_boundary = np.zeros((hand_msk.shape))
contact_boundary[merge_hand_obj == 2] = 1
imsave(os.path.join(contact_boundary_dir, fname), contact_boundary.astype(np.uint8))
'''
red = np.zeros((img.shape)); red[:,:,0] = 255
blue = np.zeros((img.shape)); blue[:,:,2] = 255
yellow = np.zeros((img.shape)); yellow[:,:,0] = 255; yellow[:,:,1] = 255; yellow[:,:,2] = 0
contact_boundary_rgb = np.repeat(np.expand_dims(contact_boundary, 2), 3, 2)
img_contact_boundary = img * (1 - contact_boundary_rgb) + \
yellow * contact_boundary_rgb * alpha + \
img * contact_boundary_rgb * (1 - alpha)
hand_msk_rgb = np.repeat(np.expand_dims(hand_msk, 2), 3, 2)
obj_msk_rgb = np.repeat(np.expand_dims(obj_msk, 2), 3, 2)
merge_hand_obj_rgb = np.repeat(np.expand_dims(merge_hand_obj, 2), 3, 2)
vis_merge_hand_obj = red * hand_msk_rgb + blue * obj_msk_rgb
# imsave('vis_merge_hand_obj.png', vis_merge_hand_obj)
vis_merge_hand_obj = vis_merge_hand_obj * (1 - contact_boundary_rgb) + yellow * contact_boundary_rgb
imsave(os.path.join(vis_contact_boundary_dir, fname.split('.')[0]+'_lbl.jpg'), vis_merge_hand_obj)
imsave(os.path.join(vis_contact_boundary_dir, fname.split('.')[0]+'.jpg'), img_contact_boundary)
# pdb.set_trace()
'''
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