| from PIL import Image |
| import numpy as np |
| from skimage.io import imsave |
| import glob |
| import pdb |
| import os |
| from tqdm import tqdm |
| |
| from scipy.spatial.distance import cosine |
| import random |
| from shutil import copyfile |
| import argparse |
|
|
| parser = argparse.ArgumentParser(description="composite") |
| parser.add_argument("--aug_numbers", default=3, type=int) |
| parser.add_argument("--top_k", default=10, type=int) |
| parser.add_argument("--random_aug", default=True, type=bool) |
| parser.add_argument("--composite_hr", default=True, type=bool) |
| parser.add_argument("--hr_img_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/image', type=str) |
| parser.add_argument("--hr_lbl_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/label', type=str) |
| parser.add_argument("--img_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/image_512', type=str) |
| parser.add_argument("--lbl_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/label_512', type=str) |
| parser.add_argument("--lama_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/lama_512', type=str) |
| parser.add_argument("--lama_feat_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/lama_512_feature', type=str) |
| parser.add_argument("--aug_img_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/image_ccda', type=str) |
| parser.add_argument("--aug_lbl_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/label_ccda', type=str) |
| args = parser.parse_args() |
|
|
| os.system('rm -rf ' + args.aug_img_dir); os.makedirs(args.aug_img_dir, exist_ok = True) |
| os.system('rm -rf ' + args.aug_lbl_dir); os.makedirs(args.aug_lbl_dir, exist_ok = True) |
|
|
| |
| fname_list = [] |
| feature_list = [] |
| for file in glob.glob(args.lama_feat_dir + '/*'): |
| fname = os.path.basename(file).split('.')[0] |
| feature = np.load(file) |
| |
| feature_list.append(feature) |
| fname_list.append(fname) |
|
|
|
|
|
|
| |
| for file in tqdm(glob.glob(args.lama_feat_dir + '/*')): |
|
|
| query_fname = os.path.basename(file).split('.')[0] |
| query_feature = np.load(file) |
|
|
| score_list = [] |
| for feature in feature_list: |
| score = cosine(query_feature, feature) |
| if score != 0.0: |
| score_list.append(score) |
|
|
| sorted_index_list = np.argsort(np.array(score_list)) |
| |
| if args.random_aug: |
| top_k_sorted_index_list = sorted_index_list |
| else: |
| top_k_sorted_index_list = sorted_index_list[:args.top_k] |
| |
| for aug_idx in range(args.aug_numbers): |
| |
| size_match = False |
| while not size_match: |
| sample_idx = random.randint(0, len(top_k_sorted_index_list)-1) |
| index = top_k_sorted_index_list[sample_idx] |
| select_fname = fname_list[index] |
|
|
| query_img = np.array(Image.open(os.path.join(args.img_dir, query_fname + '.jpg'))) |
| query_lbl = np.array(Image.open(os.path.join(args.lbl_dir, query_fname + '.png'))) |
| query_msk = np.zeros((query_lbl.shape)); query_msk[query_lbl>0] = 1 |
| query_msk = np.repeat(np.expand_dims(query_msk, 2), 3, 2) |
| select_img = np.array(Image.open(os.path.join(args.lama_dir, select_fname + '.jpg'))) |
|
|
| if query_img.shape == select_img.shape: |
| size_match = True |
| |
| if args.composite_hr: |
| hr_query_img = np.array(Image.open(os.path.join(args.hr_img_dir, query_fname + '.jpg'))) |
| hr_query_lbl = np.array(Image.open(os.path.join(args.hr_lbl_dir, query_fname + '.png'))) |
| hr_query_msk = np.zeros((hr_query_lbl.shape)); hr_query_msk[hr_query_lbl>0] = 1 |
| hr_query_msk = np.repeat(np.expand_dims(hr_query_msk, 2), 3, 2) |
| hr_select_img = np.array(Image.open(os.path.join(args.lama_dir, select_fname + '.jpg')).resize((hr_query_img.shape[1], hr_query_img.shape[0]))) |
| new_img = hr_query_img * hr_query_msk + hr_select_img * (1 - hr_query_msk) |
| else: |
| new_img = query_img * query_msk + select_img * (1 - query_msk) |
| |
| imsave(os.path.join(args.aug_img_dir, query_fname + '_' + str(aug_idx) + '.jpg'), new_img) |
| src_lbl_file = os.path.join(args.lbl_dir, query_fname + '.png') |
| dst_lbl_file = os.path.join(args.aug_lbl_dir, query_fname + '_' + str(aug_idx) + '.png') |
| copyfile(src_lbl_file, dst_lbl_file) |
| |
| src_ori_img_file = os.path.join(args.img_dir, query_fname + '.jpg') |
| dst_ori_img_file = os.path.join(args.aug_img_dir, query_fname + '.jpg') |
| copyfile(src_ori_img_file, dst_ori_img_file) |
| |
| src_ori_lbl_file = os.path.join(args.lbl_dir, query_fname + '.png') |
| dst_ori_lbl_file = os.path.join(args.aug_lbl_dir, query_fname + '.png') |
| copyfile(src_ori_lbl_file, dst_ori_lbl_file) |
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