问题
用yolo-nas训练一个数据集时，老是报图片有问题的错中断训练，因此写个脚本清洗掉有错误的jpg图片。
代码&使用方法
用自己的文件路径替换掉代码中的train_dir文件路径即可。注意，运行该代码后有问题的Jpg图片将会直接被删掉，建议运行前先备份。
import os
train_dir = 'data/images/val/'
def progress(percent, width=50):
'''进度打印功能'''
if percent >= 100:
percent = 100
show_str = ('[%%-%ds]' % width) % (int(width * percent / 100) * "#") # 字符串拼接的嵌套使用
print('\r%s %d%% ' % (show_str, percent), end='')
def is_valid_jpg(jpg_file):
with open(jpg_file, 'rb') as f:
f.seek(-2, 2)
buf = f.read()
f.close()
return buf == b'\xff\xd9' # 判定jpg是否包含结束字段
data_size = len([lists for lists in os.listdir(train_dir) if os.path.isfile(os.path.join(train_dir, lists))])
recv_size = 0
incompleteFile = 0
print('file tall : %d' % data_size)
for file in os.listdir(train_dir):
if os.path.splitext(file)[1].lower() == '.jpg':
ret = is_valid_jpg(train_dir + file)
if ret == False:
incompleteFile = incompleteFile + 1
os.remove(train_dir + file)
recv_per = int(100 * recv_size / data_size)
progress(recv_per, width=30)
recv_size = recv_size + 1
progress(100, width=30)
print('\nincomplete file : %d' % incompleteFile)
