点击上方“机器学习爱好者社区” 选择“星标”公众号,重磅干货,第一时间送达 这是一个悲伤的故事昨天,我司的python开发小哥刚准备下班陪女友共进晚餐,满心期待地盼着女友的回复,却接到女友晚上要加班的电话,满满的失落感涌上心头~ 还有比这空欢喜更让人伤心难过的事情嘛!emmm还真有 不一会儿,小哥哥的女友发来了一张自称在加班并将背景模糊的自拍照,故事从这儿就开始了: 如下 ↓ ↓ ↓ 女友留言说道:亲爱的,今晚一个人也要好好的吃晚饭哦,么么哒。小哥哥满脸疑惑,顿时受宠若惊,小女友这是咋啦,平时的她可是如此的“趾高气昂”,今天的热情让他满脸疑惑😦 不就是一张自拍照吗?这事儿又是为何最终让人难过呢,难道这不是女友在安慰我们的python开发小哥哥吗?
老铁们,你们要是这么想,接下来文章内容一定要细细品味、好好学习、深入研究…… 为何女友要背景虚化?为何要特意发照片?明明平常工作不加班呀? 面对重重疑惑,我们的python开发小哥哥心生疑虑,决心运用所学python知识对女友自拍照编写了一段代码进行分析,不遛弯了,结果却显示照片的拍摄地址为「X X酒店」 绿帽从天而降,小哥哥这绿帽子是戴的稳稳的了,好在及时止损了,不然天天为老板996,最终换来的却是女友的669😭 想知道小哥哥是如何捍卫自己男人的尊严的,快拿小本本记下来,快拿小本本记下来,快拿小本本记下来!!! 重要事情说三遍 第一步:编写python脚本分析照片通过下载发来的照片原图,利用python来编写全文的脚本文件,由此读取照片中拍摄的详细地址(地址可以详细到具体的街道和酒店名称) 第二步:引入exifread模块再安装python中的exifread模块,用于照片分析 pip install exifread 安装exfriead模块。 PS C:\WINDOWS\system32> pip install exifread Collecting exifread Downloading ExifRead-2.3.2-py3-none-any.whl (38 kB) Installing collected packages: exifread Successfully installed exifread-2.3.2 PS C:\WINDOWS\system32> pip install json
第三步:读取GPS定位的经纬度信息通过Python的exifread模块,可以读取照片中隐藏的经纬度信息(其实我们日常的照片中往往隐藏着很多的秘密,包括拍摄时间以及经纬度等)
#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}
第四步:利用百度API将GPS转地址最后我们再通过调用百度的API接口,将获得的GPS经纬度信息转换为可定位读取的具体地址信息
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))
{"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 exifread import re import json import requests import 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,location if __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)) ·合作、交流请关注:公众号「机器学习爱好者社区」(ML_shequ) ·转载请添加微信:yimudeguo
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