benedictflorance / cis-680-final-project

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Counting Objects in Cluttered Environments

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.

Methods

  • 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

  • Citations have been made in the individual README files of the subfolders.

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