@@ -28,7 +28,7 @@ I will touch on this briefly since this is not really part of the data analysis
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### Now that the data has been collected
After collecting the Aerial Infrared (AIR) data I needed to get images with geo-tags tied to them. In order to do this I found that I needed to use three different software to create these geo-tagged thermal images. This process works, however it is time consuming and tends to consume large amounts of hard disc space for data that is really just temp data that I need to delete after I am done processing. I first load the recorded sequence file (.seq, which records 30 frames per second) in to the FLIR ResearchIR software. I then use the FLIR software to export individual frames to .csv files.
After collecting the Aerial Infrared (AIR) data I needed to get images with geo-tags tied to them. In order to do this I found that I needed to use three different software programs to create these geo-tagged thermal images. This process works however, it is time consuming and tends to consume large amounts of hard disc space. When processing this data I tended to create a lot of data, which is really just temp data that I need to delete after I am done processing. I first load the recorded sequence file (.seq, which records 30 frames per second) in to the FLIR ResearchIR software. I then use the FLIR software to export individual frames to .csv files (as seen in Step 1:). You can see the steps I need my python script to do in the images below (Step 1, Step 2, and Step 3)
###### Step 1: Use FLIR Software to export csv files
