it happened like this
The little brother of python development who is preparing to leave work
I got a call from my girlfriend to work overtime tonight
And send him a self photo with a blurred background
As follows ↓↓
The sensitive little brother is suspicious. Will there be a forgiveness cap
Then python ran a code analysis photo
Analysis emmm
The shooting address is actually XXX Hotel
When the little brother collapsed, he shouted that he had been deceived
python analysis photos
The little brother will download the original photo sent to him
And wrote a script in python
Read the detailed address of the photo taken
Detailed to the specific street and hotel name
Introduce exifred module
First, install the exifrad module of python for photo analysis
PIP install exifred module
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
GPS longitude and latitude information
In fact, a lot of private information is hidden in the photos we usually take
Including shooting time, extremely accurate and specific GPS information.
The following is to read the longitude and latitude information in the photo through the exifrad module.
#Read GPS longitude and latitude information of photos
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():
#latitude
if re.match('GPS GPSLatitudeRef', tag):
GPS['GPSLatitudeRef'] = str(value)
#longitude
elif re.match('GPS GPSLongitudeRef', tag):
GPS['GPSLongitudeRef'] = str(value)
#altitude
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}
Baidu API transfers GPS to address
Here, you need to call Baidu API to convert GPS longitude and latitude information into specific address information.
Here, you need an ak value to call Baidu API, which can be obtained by registering a Baidu developer. Of course, you can also use the ak value of the blogger
After calling, you can resolve the shooting time and shooting detailed address.
def find_address_from_GPS(GPS):
secret_key = 'zbLsuDDL4CS2U0M4KezOZZbGUY9iWtVf'
if not GPS['GPS_information']:
return 'This photo has no GPS information'
#Longitude and latitude information
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)
#Convert Baidu API to specific address
content = response.text.replace("renderReverse&&renderReverse(", "")[:-1]
print(content)
baidu_map_address = json.loads(content)
#Parse and sort out the returned json information
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:/Girlfriend selfie.jpg')
address = find_address_from_GPS(GPS=GPS_info)
print("Shooting time:" + GPS_info.get("date_information"))
print('Photo shooting address:' + str(address))
Lao Wang got this result
Photo shooting address: ('Mile County, Honghe Hani and Yi Autonomous Prefecture, Yunnan Province', 'Yunnan Province', 'Honghe Hani and Yi Autonomous Prefecture', 'Mile County', 'Lake Spring Hotel - 128 meters southeast of block A')
Maitreya Lake Spring Hotel in Yunnan is obviously not where Lao Wang's girlfriend works. Lao Wang searched and found that this is a hot spring resort hotel.
I immediately understood
{"status":0,"result":{"location":{"lng":103.41424699999998,"lat":24.410461020097278},
"formatted_address":"Mile County, Honghe Hani and Yi Autonomous Prefecture, Yunnan Province",
"business":"",
"addressComponent":{"country":"China",
"country_code":0,
"country_code_iso":"CHN",
"country_code_iso2":"CN",
"province":"Yunnan Province",
"city":"Honghe Hani and Yi Autonomous Prefecture",
"city_level":2,"district":"Maitreya county",
"town":"","town_code":"","adcode":"532526",
"street_number":"",
"direction":"","distance":""},
"sematic_description":"Huquan Hotel-A 128 meters southeast of block",
"cityCode":107}}
Shooting time: 2021:5:03 20:05:32
Photo shooting address:('Mile County, Honghe Hani and Yi Autonomous Prefecture, Yunnan Province', 'Yunnan Province', 'Honghe Hani and Yi Autonomous Prefecture', 'Maitreya county', 'Huquan Hotel-A 128 meters southeast of block')
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Final ending
In addition to writing code, programmers will not be manual workers if they go to the factory. They know technology and can also have a post of technology R & D. The biggest problem is psychological. From a well-known company in the past to the current factory, it would be good if we passed this pass.
According to the data of the National Bureau of statistics, from January to October this year, the profits of Industrial Enterprises above designated size increased by 42.2% year-on-year. In October, the added value of high-tech manufacturing above designated size increased by 14.7% year-on-year. These young people also see the future of China's manufacturing development.
Big factories are only an experience of that year, and there will certainly be variables in the future. Now the iron rice bowl is becoming more and more popular. As long as the income is stable, it was normal to work overtime in big factories in the past. Now the work content and intensity of the factory are OK, which can be considered and accepted
