在机器学习中免不了和图片打交道。有时候收集来的图片后缀名和实际类型会存在不一致的情况，这里可能就需要涉及到图片文件的批量处理。简单粗暴上代码：

import struct import osdef gci(filepath):  files = os.listdir(filepath)  for fi in files:    fi_d = os.path.join(filepath,fi)                if os.path.isdir(fi_d):      gci(fi_d)                      else:      tempP = os.path.join(filepath,fi_d)      tp = filetype(tempP)      if tp != 'JPEG':        print(tempP)        os.remove(tempP)        #print tempPdef typeList():    return {      "FFD8FF": "JPEG",      "89504E47": "PNG",    "47494638": "GIF"}      def bytes2hex(bytes):    num = len(bytes)    hexstr = u""    for i in range(num):      t = u"%x" % bytes[i]      if len(t) % 2:        hexstr += u"0"    hexstr += t    return hexstr.upper()  def filetype(filename):    binfile = open(filename, 'rb')   tl = typeList()    ftype = 'unknown'  for hcode in tl.keys():      numOfBytes = len(hcode) / 2     binfile.seek(0)     hbytes = struct.unpack_from("B"*numOfBytes, binfile.read(numOfBytes))    f_hcode = bytes2hex(hbytes)      if f_hcode == hcode:        ftype = tl[hcode]        break  binfile.close()    return ftype  gci('your_img_folder_path')复制代码