解决思路：
判断数据有问题，网上搜索，说是opencv读取图片有问题，改代码。我尝试重新制作其他数据集，读取训练没有这样的问题，说明这是我数据本身的问题。我就用python重新inread读取数据，然后将读取失败的图片数据名称保存下来，读取成功的数据再保存到对应的文件家中，最后就搞定了，废话少说了，就直接上代码吧。

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from pathlib import Path
import os
import cv2
from glob import glob
from scipy import misc

def load_image_cv(path_img):
    file_names = glob(path_dir + '/*.jpg')
    with open(r'invailfile.txt', 'w+') as txt:
	    for file in file_names:
	    	try：
	        	img_raw = cv2.imread(file, flags=-1)
	        	cv2.imwrite(img_raw, img_raw)
	        except:
	        	print("fail load" + file + '\n')     	
    return

def load_save_image_misc(path_dir):
    file_names = glob(path_dir+'/*.jpg')
    with open(r'invailfile.txt', 'w+') as txt:
        for file in file_names:
            print(file + '\n')
            try:
                img_raw = misc.imread(file)
                misc.imsave(file, img_raw)
            except:
                txt.write(file+'\n')
                print("fail load" + file + '\n')

    return

if __name__ == '__main__':
    # ----imread to imwrite-----------------------------------------------------------
    path_dir = r"./images_person"   # 数据存放的目录
    load_save_image_misc(path_dir)

然后根据invailfile.txt文件中的读取失败的图片名称，再训练列表中（train.txt, train_val.txt，val.txt）删除，再次运行训练的bat文件就行。