Image-Reconstruction/main.py at main · Nirmala-research/Image-Reconstruction · GitHub

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# -*- coding: utf-8 -*-
"""main.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/15CXWy3aN0qKCyoEIhssxo1jiTRLcXnwL
"""

from mode import *
import argparse


parser = argparse.ArgumentParser()

def str2bool(v):
    return v.lower() in ('true')

parser.add_argument("--LR_path", type = str, default = '../C:/Users/DRDO/Downloads/dataSet/ISIC_2019_train_LR_bicubic/X4')
parser.add_argument("--GT_path", type = str, default = '..//C:/Users/DRDO/Downloads/dataSet/ISIC_2019_train_HR/')
parser.add_argument("--res_num", type = int, default = 16)
parser.add_argument("--num_workers", type = int, default = 0)
parser.add_argument("--batch_size", type = int, default = 16)
parser.add_argument("--L2_coeff", type = float, default = 1.0)
parser.add_argument("--adv_coeff", type = float, default = 1e-3)
parser.add_argument("--tv_loss_coeff", type = float, default = 0.0)
parser.add_argument("--pre_train_epoch", type = int, default = 8000)
parser.add_argument("--fine_train_epoch", type = int, default = 4000)
parser.add_argument("--scale", type = int, default = 4)
parser.add_argument("--patch_size", type = int, default = 24)
parser.add_argument("--feat_layer", type = str, default = 'relu5_4')
parser.add_argument("--vgg_rescale_coeff", type = float, default = 0.006)
parser.add_argument("--fine_tuning", type = str2bool, default = False)
parser.add_argument("--in_memory", type = str2bool, default = True)
parser.add_argument("--generator_path", type = str)
parser.add_argument("--mode", type = str, default = 'train')

args = parser.parse_args()

if args.mode == 'train':
    train(args)

elif args.mode == 'test':
    test(args)

elif args.mode == 'test_only':
    test_only(args)