It so happens that when an image is loaded per step 1.0, the PIL module will automatically load up a dictionary with whatever metadata it can id. Just because it's not in Exif format doesn't mean that puzzle.png's metadata is all that more difficult to access. GPSInfo ISOSpeedRatings 100 ResolutionUnit 2 WhiteBalance 0 GainControl 0 BrightnessValue (100, 10)ĭon't panic. In any case, you can find the same image here. I had to search online for a sample image containing GPS metadata because I got tired of scanning through everything on my computer trying to find an example (though it wouldn't be too hard to write a script that could comb through a file of images and automatically pull out those that do include it). It's hardly guaranteed to be the same for every image.
So, that just outputs all of the Exif data contained within a given image as a series of entries. Note that I had to import some extra stuff at the top:įrom PIL import Image from PIL.ExifTags import TAGS, GPSTAGS image = Image.open("gpsample.jpg") print(image) info = image._getexif() for tag, value in ems(): key = TAGS.get(tag, tag) print(key + " " + str(value)) The dictionary consists of tag-value pairs, which we can extract and view using a for-loop, like this.
In return, I get a dictionary data structure full of metadata. I create the image object as above then call the _getexif() function on it. PNG file, which we'll have to handle somewhat differently. Which is fine because that's most pictures. The going standard, starting in the 1990s, has been the IPTC Information Interchange Model (IMM), though that's more recently been extended via the Extensible Metadata Platform (XMP) and Exif ("exchangeable image file format"), which is where we get into GPS tagging. This can depend on the image file format itself and in many cases the camera the image was captured with. Image metadata varies in format and content. This is image metadata-data about other data. There needs to be information in there that is about the image but is not part of the image. And for that data to be useful it needs to carry instructions on how it's to be represented at its final destination. Images are of course data just like anything else.
However, if you want to just over-write the original image file by stripping all the EXIF data from it, you can add the -replace flag: python exif_delete.py -replace /path/to/my/image.The image itself, the colors and lines we perceive with our eyes, clearly pertains to chemtrails and their effect on the health of US presidential candidate Hillary Clinton, but that the challenge wording clearly specifies image file indicates that we should probably be looking beyond the picture itself and into the data within. Will become: /full/path/to/image1234_safe.jpg For instance, this: /full/path/to/image1234.jpg Python exif_delete.py /path/to/*/my/images/*.jpgīy default, the script will create a new image file with "_safe" appended to the file name. Python exif_delete.py image1.jpg image2.png image3.gif Just pass the name of the image file(s) you want to strip to the script, and it will do the rest: python exif_delete.py /path/to/my/image.jpg
Or you can install from this repo locally: python setup.py install
You can install this tool using PyPI to grab the code and install it online by doing: pip install exif_delete This script will work with Python v3.4 to v3.7 and only requires one third-party library: PIL. If you are like me, you take a lot of photos, and this tool will help protect your privacy. This is a simple Python script that I use to strip all of the metadata from my photos before I share them online. But you should be in control of what information you share with the world.
detailed information about your camera / phoneįacebook (and most other online advertisers) make money by tracking and selling your personal information.All the photos you share online contain metadata.