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feat: added new parser from binary .out file to raw png
uploaded dataset via DVC, created config files
uploaded dataset via DVC, created config files
implemented and tested dataset creation (undistortion and convertion) from raw images (DVC stored) implemented and tested naive converter from BGR to arbitrary 2x2 Bayer filter in case one needed
fix: number of images to proccess increased
fix: modified parser and fix filenames length
traced and compiled trained model
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Summary
Added and trained TTNet for detection of tennis ball. The first part of pipeline that finds ROI: region of interest that will be segmented with UNet later