How to implement Python to read Image attribute information

Source: Internet
Author: User
This article describes how to use Python to read Image attribute information, including GPS information, image resolution, image pixels, equipment vendors, and shooting devices. For more information, see. This article uses a Python script to read image information. The following describes how to read Image Information:

1. Error handling is not implemented

2. I have not read all the information, and only GPS information, image resolution, image pixels, equipment vendors, and shooting devices are available.

3. after simple modification, attackers should be able to modify the GPS information of images.

4. However, for images without GPS information, the implementation is very complicated and the offset of each descriptor needs to be carefully calculated.

After the script is run, the Read result is as follows:

The source code is as follows:

# -*- coding:utf-8 -*-import binascii class ParseMethod(object):  @staticmethod  def parse_default(f, count, offset):    pass   @staticmethod  def parse_latitude(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)     latitude = [0,0,0]    for i in xrange(count):      byte = f.read(4)      numerator = byte.encode('hex')       byte = f.read(4)      denominator = byte.encode('hex')       latitude[i] = float(int(numerator, 16)) / int(denominator, 16)      print 'Latitude:\t%.2f %.2f\' %.2f\"' % (latitude[0], latitude[1], latitude[2])    f.seek(old_pos)      @staticmethod  def parse_longtitude(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)     longtitude = [0,0,0]    for i in xrange(count):      byte = f.read(4)      numerator = byte.encode('hex')       byte = f.read(4)      denominator = byte.encode('hex')       longtitude[i] = float(int(numerator, 16)) / int(denominator, 16)      print 'Longtitude:\t%.2f %.2f\' %.2f\"' % (longtitude[0], longtitude[1], longtitude[2])    f.seek(old_pos)    @staticmethod  def parse_make(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'Make:\t\t' + binascii.a2b_hex(a)    f.seek(old_pos)    @staticmethod  def parse_model(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'Model:\t\t' + binascii.a2b_hex(a)    f.seek(old_pos)        @staticmethod  def parse_datetime(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'DateTime:\t' + binascii.a2b_hex(a)    f.seek(old_pos)   # rational data type, 05  @staticmethod  def parse_xresolution(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)     byte = f.read(4)    numerator = byte.encode('hex')    byte = f.read(4)    denominator = byte.encode('hex')    xre = int(numerator, 16) / int(denominator, 16)     print 'XResolution:\t' + str(xre) + ' dpi'    f.seek(old_pos)   @staticmethod  def parse_yresolution(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)     byte = f.read(4)    numerator = byte.encode('hex')    byte = f.read(4)    denominator = byte.encode('hex')    xre = int(numerator, 16) / int(denominator, 16)     print 'YResolution:\t' + str(xre) + ' dpi'    f.seek(old_pos)   @staticmethod  def parse_exif_ifd(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)     byte = f.read(2)    a = byte.encode('hex')        exif_ifd_number = int(a, 16)     for i in xrange(exif_ifd_number):      byte = f.read(2)      tag_id = byte.encode('hex')      #print tag_id,       byte = f.read(2)      type_n = byte.encode('hex')      #print type_n,       byte = f.read(4)      count = byte.encode('hex')      #print count,       byte = f.read(4)      value_offset = byte.encode('hex')      #print value_offset       value_offset = int(value_offset, 16)      EXIF_IFD_DICT.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)     f.seek(old_pos)     @staticmethod  def parse_x_pixel(f, count, value):    print 'X Pixels:\t' + str(value)   @staticmethod  def parse_y_pixel(f, count, value):    print 'y Pixels:\t' + str(value)   @staticmethod  def parse_gps_ifd(f, count, offset):    old_pos = f.tell()        f.seek(12 + offset)    byte = f.read(2)    a = byte.encode('hex')      gps_ifd_number = int(a, 16)     for i in xrange(gps_ifd_number):      byte = f.read(2)      tag_id = byte.encode('hex')      #print tag_id,       byte = f.read(2)      type_n = byte.encode('hex')      #print type_n,       byte = f.read(4)      count = byte.encode('hex')      #print count,       byte = f.read(4)      value_offset = byte.encode('hex')      #print value_offset       count = int(count, 16)      value_offset = int(value_offset, 16)      GPS_IFD_DICT.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)     f.seek(old_pos)  IFD_dict = {  '010f' : ParseMethod.parse_make ,  '0110' : ParseMethod.parse_model ,  '0132' : ParseMethod.parse_datetime ,  '011a' : ParseMethod.parse_xresolution ,  '011b' : ParseMethod.parse_yresolution ,  '8769' : ParseMethod.parse_exif_ifd ,  '8825' : ParseMethod.parse_gps_ifd} EXIF_IFD_DICT = {  'a002' : ParseMethod.parse_x_pixel ,  'a003' : ParseMethod.parse_y_pixel} GPS_IFD_DICT = {  '0002' : ParseMethod.parse_latitude ,  '0004' : ParseMethod.parse_longtitude}  with open('image.jpg', 'rb') as f:  byte = f.read(2)  a = byte.encode('hex')  print 'SOI Marker:\t' + a   byte = f.read(2)  a = byte.encode('hex')  print 'APP1 Marker:\t' + a   byte = f.read(2)  a = byte.encode('hex')  print 'APP1 Length:\t' + str(int(a, 16)) + ' .Dec'   byte = f.read(4)  a = byte.encode('hex')  print 'Identifier:\t' + binascii.a2b_hex(a)   byte = f.read(2)  a = byte.encode('hex')  print 'Pad:\t\t' + a    print   print 'Begin to print Header.... '  print 'APP1 Body: '   byte = f.read(2)  a = byte.encode('hex')  print 'Byte Order:\t' + a     byte = f.read(2)  a = byte.encode('hex')  print '42:\t\t' + a    byte = f.read(4)  a = byte.encode('hex')  print '0th IFD Offset:\t' + a    print 'Finish print Header'   print 'Begin to print 0th IFD....'  print  #print 'Total: ',  byte = f.read(2)  a = byte.encode('hex')  interoperability_number = int(a, 16)  #print interoperability_number    for i in xrange(interoperability_number):    byte = f.read(2)    tag_id = byte.encode('hex')    #print tag_id,     byte = f.read(2)    type_n = byte.encode('hex')    #print type_n,     byte = f.read(4)    count = byte.encode('hex')    #print count,     byte = f.read(4)    value_offset = byte.encode('hex')    #print value_offset     count = int(count, 16)    value_offset = int(value_offset, 16)     # simulate switch    IFD_dict.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)    print  print 'Finish print 0th IFD....'

Summary

The implementation of Reading Image attribute information using Python has basically ended. have you learned this? I hope this article will help you in your study or work,

For more information about how to use Python to read Image attribute information, see PHP!

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.