Read photo geotag8/17/2023 ![]() If that’s present, then you have GPS tags that you can extract. Then after parsing the regular tags from the file, you add a second loop to look for the “GPSInfo” tag. To get access to the GPS tags, you need to import GPSTAGS from PIL.ExifTags. To get access to those tags, you’ll need to take the earlier code example and do some minor adjustments: # gps_exif_getter.py You can also add GPS tags on your computer after the fact.įor example, I added GPS tags to this photo of Jester Park, which is in Granger, IA: These are special EXIF tags that are only present if the camera that took the photo had its location information turned on for the camera. ![]() In this article, you will focus on how to extract GPS tags from an image. This code was run using the following image: Here is some example code for getting regular EXIF data from a JPG file: # exif_getter.py You can read an article about that on this website if you want to. With two lines of code, we can get a ame out of our EXIF data.Did you know that you can get EXIF data from JPG image files using the Python programming language? You can use Pillow, the Python Imaging Library’s friendly fork to do so. Since our output is not a file, we'll have wrap our string with textConnection() to make it accessible to read.csv(). With that, we can use read.csv() to process the output. SourceFile,APP14Flags0,APP14Flags1,BitsPerSample,ColorComponents,ColorTransform,Compression,DCTEncodeVersion,Directory,EncodingProcess,ExifByteOrder,ExifToolVersion,FileAccessDate,FileInodeChangeDate,FileModifyDate,FileName,FilePermissions,FileSize,FileType,FileTypeExtension,GPSAltitude,GPSAltitudeRef,GPSLatitude,GPSLatitudeRef,GPSLongitude,GPSLongitudeRef,GPSMapDatum,GPSPosition,GPSVersionID,ImageHeight,ImageSize,ImageWidth,JFIFVersion,Megapixels,MIMEType,ModifyDate,PhotometricInterpretation,Quality,ResolutionUnit,RowsPerStrip,SamplesPerPixel,StripByteCounts,StripOffsets,XResolution,YCbCrSubSampling,YResolution Pass the -csv parameter and you've got the output in nice parsing form, ready for R to convert to a ame. There are a few ways to collect GPS information from a camera. Luckily, the genious behind exiftool figured this out already.all you have to do is pass the -n parameter. Geotagging is the process of pinpointing the location you took your picture with the aid of a GPS unit. Also, things like "GPS Latitude" are in a pretty unitelligible format (we'll probably want something like -94.526 instead of 94 deg 47' 56.41" W if we're going to do any processing in R). GPS Position : 38 deg 51' 20.15" N, 94 deg 47' 56.41" WĪs you can see, all the information we need is here, but it's not in a format that is particularly conducive to parsing in R. Once you have one in your RStudio project (or working directory), try the following:įile Modification Date/Time : 2015:11:21 14:16:21-04:00įile Access Date/Time : 2015:12:13 14:02:36-04:00įile Inode Change Date/Time : 2015:11:21 14:16:21-04:00Įxif Byte Order : Little-endian (Intel, II)Įncoding Process : Baseline DCT, Huffman coding Any photo taken by a digital camera has at least some kind of EXIF data, so this shouldn't be hard to find. The next thing you'll need is a photo with some EXIF data. If you can type system("exiftool") into your R console and not get any text saying "command not found", you're good to go. In Windows you'll end up with an exiftool.exe file that you should put in your RStudio Project directory (or working directory, if you don't use RStudio). It's available for Windows, Mac, and Unix-oid systems (although it's a little more complicated to install on the unix-oid ones). ![]() ![]() Using the system() command in R, we can write a simple wrapper around the exiftool command that produces a nice ame with all the information about our image files.įirst thing is first, you're going to need to install exiftool. There is no package available for this, however exiftool, written by Phil Harvey, is a multi-platform command-line interface that extracts this data and outputs in a number of formats. Enter EXIF data, the format in which date/time, GPS, resolution, camera make/model, and a number of other fields are stored within image files. The photos came from a GPS with a camera, but because there were tons of duplicate files, any GPS waypoints they were associated with were lost. Recently I was tasked with organizing a large number of geotagged images extracted from several years of field data. ![]()
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