This project has been implemented as a requirement for the Final Project for the Fall 2021 iteration of the CIS-680 course at the University of Pennsylvania.
We implement a model to count machine parts bunched up together in a cluttered image.
- Image-processing based counting is present in the
image_processing
subfolder - Mask RCNN based counting is found in the
mask-rcnn
subfolder - Learning To Count Everything (CVPR 2021) based method is found in the
learning_to_count_everything_cvpr_2021
- Our deep-learning based depth estimation experiments can be found in the
depth_estimation
subfolder
- Citations have been made in the individual README files of the subfolders.