mrq/DL-Art-School
1
3
Fork 5
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Include psnr in test.py

Browse Source
This commit is contained in:
James Betker 2020-10-27 10:25:42 -06:00
parent 231137ab0a
commit ade0a129da
1 changed files with 11 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
codes/test.py
View File

@ -65,6 +65,7 @@ def forward_pass(model, output_dir, alteration_suffix=''):
visuals = model.get_current_visuals(need_GT)['rlt'].cpu() visuals = model.get_current_visuals(need_GT)['rlt'].cpu()
fea_loss = 0 fea_loss = 0
psnr_loss = 0
for i in range(visuals.shape[0]): for i in range(visuals.shape[0]):
img_path = data['GT_path'][i] if need_GT else data['LQ_path'][i] img_path = data['GT_path'][i] if need_GT else data['LQ_path'][i]
img_name = osp.splitext(osp.basename(img_path))[0] img_name = osp.splitext(osp.basename(img_path))[0]
@ -80,9 +81,12 @@ def forward_pass(model, output_dir, alteration_suffix=''):
if need_GT: if need_GT:
fea_loss += model.compute_fea_loss(visuals[i], data['GT'][i]) fea_loss += model.compute_fea_loss(visuals[i], data['GT'][i])
psnr_sr = util.tensor2img(visuals[i])
psnr_gt = util.tensor2img(data['GT'][i])
psnr_loss += util.calculate_psnr(psnr_sr, psnr_gt)
util.save_img(sr_img, save_img_path) util.save_img(sr_img, save_img_path)
return fea_loss return fea_loss, psnr_loss
if __name__ == "__main__": if __name__ == "__main__":
@ -90,7 +94,7 @@ if __name__ == "__main__":
torch.backends.cudnn.benchmark = True torch.backends.cudnn.benchmark = True
srg_analyze = False srg_analyze = False
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/srgan_compute_feature.yml') parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/test_4x_psnr.yml')
opt = option.parse(parser.parse_args().opt, is_train=False) opt = option.parse(parser.parse_args().opt, is_train=False)
opt = option.dict_to_nonedict(opt) opt = option.dict_to_nonedict(opt)
utils.util.loaded_options = opt utils.util.loaded_options = opt
@ -113,6 +117,7 @@ if __name__ == "__main__":
model = ExtensibleTrainer(opt) model = ExtensibleTrainer(opt)
fea_loss = 0 fea_loss = 0
psnr_loss = 0
for test_loader in test_loaders: for test_loader in test_loaders:
test_set_name = test_loader.dataset.opt['name'] test_set_name = test_loader.dataset.opt['name']
logger.info('\nTesting [{:s}]...'.format(test_set_name)) logger.info('\nTesting [{:s}]...'.format(test_set_name))
@ -148,7 +153,9 @@ if __name__ == "__main__":
model_copy.load_state_dict(orig_model.state_dict()) model_copy.load_state_dict(orig_model.state_dict())
model.netG = model_copy model.netG = model_copy
else: else:
fea_loss += forward_pass(model, dataset_dir, opt['name']) fea_loss, psnr_loss = forward_pass(model, dataset_dir, opt['name'])
fea_loss += fea_loss
psnr_loss += psnr_loss
# log # log
logger.info('# Validation # Fea: {:.4e}'.format(fea_loss / len(test_loader))) logger.info('# Validation # Fea: {:.4e}, PSNR: {:.4e}'.format(fea_loss / len(test_loader), psnr_loss / len(test_loader)))