本文是利用Python腳本讀取圖片信息，有幾個說明如下：

1、沒有實現錯誤處理

2、沒有讀取所有信息，大概只有 GPS 信息、圖片分辨率、圖片像素、設備商、拍攝設備等

3、簡單修改后應該能實現暴力修改圖片的 GPS 信息

4、但對于本身沒有 GPS 信息的圖片，實現則非常復雜，需要仔細計算每個描述符的偏移量

腳本運行后，讀取結果如下

腳本讀取的信息

這里和 Windows 屬性查看器讀到的內容完全一致

圖片信息1

圖片信息2

源碼如下

# -*- 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:\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

利用Python讀取圖片屬性信息的實現方法到這就基本結束了，大家都學會了嗎？希望這篇文章對大家的學習或者工作帶來一定的幫助，

本文標題: Python讀取圖片屬性信息的實現方法

本文地址: http://www.cppcns.com/jiaoben/python/163242.html

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