Python - 获取图像Exif详细信息

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发布于 2022-08-04 14:57:20

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发布于 2022-08-04 14:57:20

文章被收录于专栏：又见苍岚又见苍岚

相机拍摄照片会在文件中记录拍摄的重要参数，包括机身信息、光圈、焦距、感光度、时间、拍摄地点等等。本文介绍获取此类信息的方法。

安装python包

安装exifread：

pip install exifread

上代码

import exifread
import requests


class PhotoExifInfo():
    
    def __init__(self,photo_path):
        self.photo_path = photo_path
        self.baidu_map_ak = "your baidu map api key"
        self.image_info_dict={}
        self.tags ={}
        self.interested_keys = [
            'EXIF ExposureMode',\
            'EXIF ExposureTime',\
            'EXIF Flash',\
            'EXIF ISOSpeedRatings',\
            'Image Model',\
            'EXIF ExifImageWidth',\
            'EXIF ExifImageLength',\
            'Image DateTime',\
            'EXIF DateTimeOriginal',\
            'Image Make',\

            # lens
            # jiaoju
        ]
        
        
    def get_tags(self):
        """
        获取照片信息
        """
        image_content = open(self.photo_path, 'rb')
        tags = exifread.process_file(image_content)
        self.tags = tags
        
        for item in self.interested_keys:
            try:
                info = tags[item]
                self.image_info_dict[item] = info
            except:
                print(f'{self.photo_path} has no attribute of {item}')                
                continue
            
        # 遍历获取照片所有信息
        #for j, k in tags.items():
            #print(f"{j} : {k}")
            #print('拍摄时间：', tags['EXIF DateTimeOriginal'])
            #print('照相机制造商：', tags['Image Make'])
            #print('照相机型号：', tags['Image Model'])
            #print('照片尺寸：', tags['EXIF ExifImageWidth'], tags['EXIF ExifImageLength'])
            
     
        image_content.close()
       

    def get_lng_lat(self):
        """经纬度转换"""
        tags = self.tags
        try:
            # 纬度
            LatRef = tags["GPS GPSLatitudeRef"].printable
            Lat = tags["GPS GPSLatitude"].printable[1:-1].replace(" ", "").replace("/", ",").split(",")
            Lat = float(Lat[0]) + float(Lat[1]) / 60 + float(Lat[2]) / 3600
            if LatRef != "N":
                Lat = Lat * (-1)
            # 经度
            LonRef = tags["GPS GPSLongitudeRef"].printable
            Lon = tags["GPS GPSLongitude"].printable[1:-1].replace(" ", "").replace("/", ",").split(",")
            Lon = float(Lon[0]) + float(Lon[1]) / 60 + float(Lon[2]) / 3600
            if LonRef != "E":
                Lon = Lon * (-1)
            return Lat,Lon
        except:
            print('Unable to get')



    def get_city_info(self):
        result = self.get_lng_lat()
        if result:
            Lat, Lon = result
            url = "https://api.map.baidu.com/reverse_geocoding/v3/?ak="+self.baidu_map_ak+"&output=json&coordtype=wgs84ll&location=" + str(Lat) + ',' + str(Lon)
            #url = "https://api.map.baidu.com/reverse_geocoding/v3/?ak="+self.baidu_map_ak+"&output=json&coordtype=wgs84ll&location=31.225696563611,121.49884033194"
            response = requests.get(url).json()
            status = response['status']
            if status == 0:
                address = response['result']['formatted_address']
                if address != "":
                    self.image_info_dict['Position'] = address
            else:
                print('baidu_map error')
    
    
    
    def get_image_info(self):
        self.get_tags()
        self.get_city_info()
        return self.image_info_dict
    
    
    
if __name__ == '__main__':
    result = PhotoExifInfo("test.jpeg").get_image_info()
    
    for j, k in result.items():
        print(f"{j} : {k}")

示例输出

EXIF ExposureMode : Auto Exposure
EXIF ExposureTime : 10/24723
EXIF Flash : Flash did not fire, auto mode
EXIF ISOSpeedRatings : 50
Image Model : vivo Z1
EXIF ExifImageWidth : 4144
EXIF ExifImageLength : 1968
Image DateTime : 2019:11:03 11:34:24
EXIF DateTimeOriginal : 2019:11:03 11:34:24
Image Make : vivo
Position : 上海市黄浦区中山南路187