This repository is for my FYP documentation. There's bound to have some errors in the cascade and the outcome because of insufficient data. This system uses Haar Cascade for the image training. I added my report in for reference, if it helps.
Hardware used is Nvidia Jetson Nano with Ubuntu 18.04, with OpenCV 2.4.9 and Python2 installed.
Data is in .jpg. The video itself is wonky and it cannot detect what it supposed to detect (which is the wings part of the chick)
I assumed it is because of the training data was very small (data trained with image size of 100x100 pixels to avoid giving strain to the hardware)