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video_denoising.py
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video_denoising.py
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'''
Video inpainting
'''
import numpy as np
from NGR import NGR
from scipy.io import loadmat
### import config file
from config.ngr_video_denoising import *
### set data path
data_name = 'akiyo' # expected result: PSNR=35.86, SSIM=0.967
gt_path = f'./data/{data_name}_gt.mat'
obs_path = f'./data/{data_name}_g0.15.mat'
### save path
save_path = './result'
gpu_num = 0
if __name__ == '__main__':
### prepare data
gt = loadmat(gt_path)['gt'].transpose(2, 0, 1)
obs = loadmat(obs_path)['obs'].transpose(2, 0, 1)
### init NGR
ngr = NGR(obs.astype(np.float32),
gt.astype(np.float32),
seed=seed,
params=hyperparameters,
save_path=save_path,
show_image=show_image,
gpu_num=gpu_num,
iterations=epoches,
show_every=show_every,
lr=lr,
weight_decay=weight_decay,
exp_weight=exp_weight,
smoothing=smoothing,
data_name=data_name,
task=task,
input_type=input_type,
need_noise_reg=need_noise_reg,
reg_noise_std=reg_noise_std,
input_depth=input_depth,
metrics=metrics,
mode=noise_type)
### train
ngr.train()
### save result
ngr.save()