不同数据量对模型的影响

1 数据量大的时候

通过对T91缩放0.8，0.9，0.7，1进行数据增强，步长12进行裁剪图像大小为12的高分辨率图像块，共得到101632张子图像。

import argparse
import PIL.Image as pil_image
from PIL import Image
import random
import os

def convert_rgb_to_y(img, dim_order='hwc'):
    if dim_order == 'hwc':
        return 16. + (64.738 * img[..., 0] + 129.057 * img[..., 1] + 25.064 * img[..., 2]) / 256.
    else:
        return 16. + (64.738 * img[0] + 129.057 * img[1] + 25.064 * img[2]) / 256.

def random_crop(image, crop_shape):
    nw = random.randint(0, image.size[0] - crop_shape[0])
    nh = random.randint(0, image.size[1] - crop_shape[1])
    image_crop = image.crop((nh, nw, nh + crop_shape[0], nw + crop_shape[1]))
    return image_crop

def dataset(args):
    flip = [0]
    count = 0
    pathlist = os.listdir(args.input_path)
    if not os.path.exists(args.output_path):