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正准备下班的python开发小哥哥
接到女朋友今晚要加班的电话
并给他发来一张背景模糊的自拍照
如下 ↓ ↓ ↓
敏感的小哥哥心生疑窦，难道会有原谅帽
然后python撸了一段代码 分析照片
分析下来 emmm
拍摄地址居然是在 XXX酒店
小哥哥崩溃之余 大呼上当
小哥哥将发给自己的照片原图下载下来
并使用python写了一个脚本
读取到了照片拍摄的详细地址
详细到了具体的街道和酒店名称
首先安装python的exifread模块，用于照片分析
pip install exifread 安装exfriead模块
PS C:\WINDOWS\system32> pip install exifreadCollecting exifread Downloading ExifRead-2.3.2-py3-none-any.whl (38 kB)Installing collected packages: exifreadSuccessfully installed exifread-2.3.2PS C:\WINDOWS\system32> pip install json
其实我们平时拍摄的照片里，隐藏了大量的私密信息
包括 拍摄时间、极其精确 具体的GPS信息。小编推荐一个学python的学习老师围鑫（同音），前边一组是：mengy ,后边一组是：7762,把以上两组字母按照先后顺序组合起来即可，她会安排学习的。，无论你是大牛还是小白，是想转行还是想入行都可以来了解一起进步一起学习！裙内有开发工具，很多干货和技术资料分享！
下面是通过exifread模块，来读取照片内的经纬度信息。
#读取照片的GPS经纬度信息def find_GPS_image(pic_path): GPS = {} date = '' with open(pic_path, 'rb') as f: tags = exifread.process_file(f) for tag, value in tags.items(): #纬度 if re.match('GPS GPSLatitudeRef', tag): GPS['GPSLatitudeRef'] = str(value) #经度 elif re.match('GPS GPSLongitudeRef', tag): GPS['GPSLongitudeRef'] = str(value) #海拔 elif re.match('GPS GPSAltitudeRef', tag): GPS['GPSAltitudeRef'] = str(value) elif re.match('GPS GPSLatitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLatitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLatitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSLongitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLongitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLongitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSAltitude', tag): GPS['GPSAltitude'] = str(value) elif re.match('.*Date.*', tag): date = str(value) return {'GPS_information': GPS, 'date_information': date}
这里需要使用调用百度API，将GPS经纬度信息转换为具体的地址信息。
这里，你需要一个调用百度API的ak值，这个可以注册一个百度开发者获得，当然，你也可以使用博主的这个ak
调用之后，就可以将拍摄时间、拍摄详细地址都解析出来。
def find_address_from_GPS(GPS): secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf' if not GPS['GPS_information']: return '该照片无GPS信息' #经纬度信息 lat, lng = GPS['GPS_information']['GPSLatitude'], GPS['GPS_information']['GPSLongitude'] baidu_map_api = "http://api.map.baidu.com/geocoder/v2/?ak={0}&callback=renderReverse&location={1},{2}s&output=json&pois=0".format( secret_key, lat, lng) response = requests.get(baidu_map_api) #百度API转换成具体的地址 content = response.text.replace("renderReverse&&renderReverse(", "")[:-1] print(content) baidu_map_address = json.loads(content) #将返回的json信息解析整理出来 formatted_address = baidu_map_address["result"]["formatted_address"] province = baidu_map_address["result"]["addressComponent"]["province"] city = baidu_map_address["result"]["addressComponent"]["city"] district = baidu_map_address["result"]["addressComponent"]["district"] location = baidu_map_address["result"]["sematic_description"] return formatted_address,province,city,district,location if __name__ == '__main__': GPS_info = find_GPS_image(pic_path='C:/女友自拍.jpg') address = find_address_from_GPS(GPS=GPS_info) print("拍摄时间：" + GPS_info.get("date_information")) print('照片拍摄地址:' + str(address))
照片拍摄地址:(‘云南省红河哈尼族彝族自治州弥勒县’, ‘云南省’, ‘红河哈尼族彝族自治州’, ‘弥勒县’, ‘湖泉酒店-A座东南128米’)
云南弥勒湖泉酒店，这明显不是老王女友工作的地方，老王搜索了一下，这是一家温泉度假酒店。
顿时就明白了
{"status":0,"result":{"location":{"lng":103.41424699999998,"lat":24.410461020097278},"formatted_address":"云南省红河哈尼族彝族自治州弥勒县","business":"","addressComponent":{"country":"中国","country_code":0,"country_code_iso":"CHN","country_code_iso2":"CN","province":"云南省","city":"红河哈尼族彝族自治州","city_level":2,"district":"弥勒县","town":"","town_code":"","adcode":"532526","street_number":"","direction":"","distance":""},"sematic_description":"湖泉酒店-A座东南128米","cityCode":107}} 拍摄时间：2021:5:03 20:05:32照片拍摄地址:('云南省红河哈尼族彝族自治州弥勒县', '云南省', '红河哈尼族彝族自治州', '弥勒县', '湖泉酒店-A座东南128米')
import exifreadimport reimport jsonimport requestsimport os #转换经纬度格式def latitude_and_longitude_convert_to_decimal_system(*arg): """ 经纬度转为小数, param arg: :return: 十进制小数 """ return float(arg[0]) + ((float(arg[1]) + (float(arg[2].split('/')[0]) / float(arg[2].split('/')[-1]) / 60)) / 60) #读取照片的GPS经纬度信息def find_GPS_image(pic_path): GPS = {} date = '' with open(pic_path, 'rb') as f: tags = exifread.process_file(f) for tag, value in tags.items(): #纬度 if re.match('GPS GPSLatitudeRef', tag): GPS['GPSLatitudeRef'] = str(value) #经度 elif re.match('GPS GPSLongitudeRef', tag): GPS['GPSLongitudeRef'] = str(value) #海拔 elif re.match('GPS GPSAltitudeRef', tag): GPS['GPSAltitudeRef'] = str(value) elif re.match('GPS GPSLatitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLatitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLatitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSLongitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLongitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLongitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSAltitude', tag): GPS['GPSAltitude'] = str(value) elif re.match('.*Date.*', tag): date = str(value) return {'GPS_information': GPS, 'date_information': date} #通过baidu Map的API将GPS信息转换成地址。def find_address_from_GPS(GPS): """ 使用Geocoding API把经纬度坐标转换为结构化地址。 :param GPS: :return: """ secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf' if not GPS['GPS_information']: return '该照片无GPS信息' lat, lng = GPS['GPS_information']['GPSLatitude'], GPS['GPS_information']['GPSLongitude'] baidu_map_api = "http://api.map.baidu.com/geocoder/v2/?ak={0}&callback=renderReverse&location={1},{2}s&output=json&pois=0".format( secret_key, lat, lng) response = requests.get(baidu_map_api) content = response.text.replace("renderReverse&&renderReverse(", "")[:-1] print(content) baidu_map_address = json.loads(content) formatted_address = baidu_map_address["result"]["formatted_address"] province = baidu_map_address["result"]["addressComponent"]["province"] city = baidu_map_address["result"]["addressComponent"]["city"] district = baidu_map_address["result"]["addressComponent"]["district"] location = baidu_map_address["result"]["sematic_description"] return formatted_address,province,city,district,locationif __name__ == '__main__': GPS_info = find_GPS_image(pic_path='C:/Users/pacer/desktop/img/5.jpg') address = find_address_from_GPS(GPS=GPS_info) print("拍摄时间：" + GPS_info.get("date_information")) print('照片拍摄地址:' + str(address))
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