本文是利用Python脚本读取图片信息，有几个说明如下：

1、没有实现错误处理

2、没有读取所有信息，大概只有 GPS 信息、图片分辨率、图片像素、设备商、拍摄设备等

3、简单修改后应该能实现暴力修改图片的 GPS 信息

4、但对于本身没有 GPS 信息的图片，实现则非常复杂，需要仔细计算每个描述符的偏移量

脚本运行后，读取结果如下

脚本读取的信息

这里和 Windows 属性查看器读到的内容完全一致

图片信息1

图片信息2

源码如下

# -*- 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:tt' + 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:tt' + 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:tt' + 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:tt' + 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....'

总结

利用Python读取图片属性信息的实现方法到这就基本结束了，大家都学会了吗？希望这篇文章对大家的学习或者工作带来一定的帮助，