argparse

问题来源于深度学习的超分项目

https://github.com/JingyunLiang/SwinIR

argparse是方便参数配置的。

    parser = argparse.ArgumentParser()
    parser.add_argument('--task', type=str, default='color_dn', help='classical_sr, lightweight_sr, real_sr, '
                                                                     'gray_dn, color_dn, jpeg_car')
    parser.add_argument('--scale', type=int, default=1, help='scale factor: 1, 2, 3, 4, 8') # 1 for dn and jpeg car
    parser.add_argument('--noise', type=int, default=15, help='noise level: 15, 25, 50')
    parser.add_argument('--jpeg', type=int, default=40, help='scale factor: 10, 20, 30, 40')
    parser.add_argument('--training_patch_size', type=int, default=128, help='patch size used in training SwinIR. '
                                       'Just used to differentiate two different settings in Table 2 of the paper. '
                                       'Images are NOT tested patch by patch.')
    parser.add_argument('--large_model', action='store_true', help='use large model, only provided for real image sr')
    parser.add_argument('--model_path', type=str,
                        default='model_zoo/swinir/001_classicalSR_DIV2K_s48w8_SwinIR-M_x2.pth')
    parser.add_argument('--folder_lq', type=str, default=None, help='input low-quality test image folder')
    parser.add_argument('--folder_gt', type=str, default=None, help='input ground-truth test image folder')
    parser.add_argument('--tile', type=int, default=None, help='Tile size, None for no tile during testing (testing as a whole)')
    parser.add_argument('--tile_overlap', type=int, default=32, help='Overlapping of different tiles')
    args = parser.parse_args()

‘—task’是参数的名称，
type=str是参数的类型，
default=’color_dn’，
help=’……’帮助信息

action=’’ 的意思是，当这个参数出现时，使用的动作的基本类型。
‘store_true’ / ‘store_false’

这里的args = parser.parse_args() 是创建一个实例，里面有之前add_argument加入的那些属性。

我们在命令行输入
python (python文件名) -h

这个东西的目的就是为了用命令行来执行python