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qualitative_test.py
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import cv2
import os.path as osp
import logging
import time
import argparse
import options.options as option
import utils.util as util
from data import create_dataset, create_dataloader
from models import create_model
import numpy as np
import os
#### options
parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, required=True, help='Path to options YMAL file.')
opt = option.parse(parser.parse_args().opt, is_train=False)
opt = option.dict_to_nonedict(opt)
def main():
save_imgs = True
model = create_model(opt)
save_folder = './results/{}'.format(opt['name'])
output_folder = osp.join(save_folder, 'images/output')
input_folder = osp.join(save_folder, 'images/input')
util.mkdirs(save_folder)
util.mkdirs(output_folder)
util.mkdirs(input_folder)
print('mkdir finish')
util.setup_logger('base', save_folder, 'test', level=logging.INFO, screen=True, tofile=True)
for phase, dataset_opt in opt['datasets'].items():
val_set = create_dataset(dataset_opt)
val_loader = create_dataloader(val_set, dataset_opt, opt, None)
pbar = util.ProgressBar(len(val_loader))
for val_data in val_loader:
folder = val_data['folder'][0]
idx_d = val_data['idx']
model.feed_data(val_data)
model.test()
visuals = model.get_current_visuals()
rlt_img = util.tensor2img(visuals['rlt'])
mid_ix = dataset_opt['N_frames'] // 2
input_img = util.tensor2img(visuals['LQ'][mid_ix])
if save_imgs:
try:
tag = '{}.{}'.format(val_data['folder'], idx_d[0].replace('/', '-'))
print(osp.join(output_folder, '{}.png'.format(tag)))
cv2.imwrite(osp.join(output_folder, '{}.png'.format(tag)), rlt_img)
cv2.imwrite(osp.join(input_folder, '{}.png'.format(tag)), input_img)
except Exception as e:
print(e)
import ipdb; ipdb.set_trace()
pbar.update('Test {} - {}'.format(folder, idx_d))
if __name__ == '__main__':
main()