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https://github.com/nate711/turbidityvideoprocessing


https://github.com/nate711/turbidityvideoprocessing

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Undist.py: pass in a source directory containing distorted images and the destination directory to save undistorted images in. The script uses the calibration matrices I calculated using the dual hero case with a hero 3. IMPORTANT: only calibrated for 1080p video frames with medium FOV. Will not work with other resolutions and other FOVs.

Calibrate.py: A script I found online that takes in a bunch of images of a standard checkerboard and then spits out the calibration matrix. Saves images with traced checkerboard into a folder (which must already exist) called “save”

video_frame_capture.py: No arguments, just grabs frames from the video specified inside the code and outputs jpgs for each frame. All directories are hardcoded.