本文是利用Python腳本讀取圖片信息，有幾個(gè)說(shuō)明如下：
1、沒(méi)有實(shí)現(xiàn)錯(cuò)誤處理
2、沒(méi)有讀取所有信息，大概只有 GPS 信息、圖片分辨率、圖片像素、設(shè)備商、拍攝設(shè)備等
3、簡(jiǎn)單修改后應(yīng)該能實(shí)現(xiàn)暴力修改圖片的 GPS 信息
4、但對(duì)于本身沒(méi)有 GPS 信息的圖片，實(shí)現(xiàn)則非常復(fù)雜，需要仔細(xì)計(jì)算每個(gè)描述符的偏移量
腳本運(yùn)行后，讀取結(jié)果如下
腳本讀取的信息
這里和 Windows 屬性查看器讀到的內(nèi)容完全一致
圖片信息1
圖片信息2
源碼如下
# -*- coding:utf-8 -*-import binasciiclass 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....'總結(jié)
利用Python讀取圖片屬性信息的實(shí)現(xiàn)方法到這就基本結(jié)束了，大家都學(xué)會(huì)了嗎？希望這篇文章對(duì)大家的學(xué)習(xí)或者工作帶來(lái)一定的幫助，
新聞熱點(diǎn)
疑難解答
圖片精選
