For example, if I upload a random picture from my cell phone to my computer, I can get all the information about this picture through python. If it's a photo taken by a digital camera, we can find the time the photo was taken, the latitude, longitude, and altitude of the photo in the properties.
So what is the purpose of this information?
There are many features...such asUser profiling, customer information taggingWait, the season in which the user prefers to take photos, the point in time, the parameter indicators of the camera used can reflect theA person's monetary situationFor the content of its shot, we can extract the content information of the photo by means of AI, so as toDetermining a person's interests。
First, the use of exifread to extract the picture EXIF information
exifreadPresentation:
EXIFInformation, which stands for Exchangeable Image File, is specially set up for digital camera photos to record attribute information and shooting data of digital photos.EXIF can be attached to theJPEG、TIFF、RIFFThis section describes how to add the contents of the digital camera recording information and the index map or the version information of the image processing software to the file.
First, you have to install theExifRead：
pip3 install ExifRead
pic=r'D:\S072003Python\input\test\' import exifread f = open(pic, 'rb') tags = exifread.process_file(f) print(tags) # With camera model, shooting time, latitude and longitude, etc.
tags
print(tags) and tags get data in a different format.
tags['Image ImageWidth'] tags['Image ImageLength'] tags['Image ExifOffset'] tags['Image Orientation'] tags['Image DateTime'] tags['EXIF WhiteBalance'] tags['EXIF ISOSpeedRatings'] tags['EXIF FocalLength'] tags['EXIF Flash'] tags['EXIF LightSource']
exifcolumns=['Image ImageWidth','Image ImageLength','Image ExifOffset','Image Orientation','Image DateTime','EXIF WhiteBalance','EXIF ISOSpeedRatings','EXIF FocalLength','EXIF Flash','EXIF LightSource'] # Wrap all the data to be extracted in a list
for i in range(len(exifcolumns)):
print(tags[exifcolumns[i]]) # Use a loop to get all the data
Second, the loop traverses the picture information
Task: Get a one-time access to the following images of"Image ImageWidth"Message. Just write a loop:
import exifread
import os
import pandas as pd
import glob
pic_list=(r'C:\Users\Lenovo\Pictures\Saved Pictures\*.jpg') # How to set the data format if it is png,jpeg,bmp?
for i in pic_list:
fr=open(i,'rb')
tags=exifread.process_file(fr)
if "Image ImageWidth" in tags: # Conditional judgment, because not all photos have "Image ImageWidth".
print(tags["Image ImageWidth"])
# Warp and longitude acquisition
import exifread
import os
import pandas as pd
import glob
pic_list=(r'C:\Users\Lenovo\Pictures\Saved Pictures\*.jpg')
latlonlists=[]
for i in pic_list:
fr=open(i,'rb')
tags=exifread.process_file(fr)
if "GPS GPSLatitude" in tags: # Conditional judgment, because not all photos have "Image ImageWidth".
# Dimension conversion
lat_ref=tags["GPS GPSLatitudeRef"]
lat=tags["GPS GPSLatitude"].printable[1:-1].replace(" ","").replace("/",",").split(",")
lat=float(lat[0])+float(lat[1])/60+float(lat[2])/3600
if lat_ref in ["N"]: # Indicates data for the southern hemisphere
lat=lat*(-1)
# Longitude shift
lon_ref=tags["GPS GPSLongitudeRef"]
lon=tags["GPS GPSLongitude"].printable[1:-1].replace("","").replace("/",",").split(",")
lon=float(lon[0])+float(lon[1])/60+float(lon[2])/3600
if lon_ref in ["E"]: # Indicates data for the Western Hemisphere
lon=lon*(-1)
print("Dimension:",lat,"Longitude:",lon)
latlonlist=[lat,lon]
(latlonlist)
This article on Python data acquisition to achieve image data extraction is introduced to this article, more related Python image data extraction content please search for my previous posts or continue to browse the following related articles I hope you will support me in the future!