| 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() |
| ''' |
|
|
|
|
