/FMO-Tracking

Computer Vision Research Project

Primary LanguageJupyter Notebook

FMO-Tracking

The goal of this Computer Vision Research Project is to track and predict trajectory of Fast Moving Objects (FMOs). The main program is based on the RVOS code base, which is a temporal and spatial machine learning method used to segment videos. The original code can be found on the following repository: https://github.com/imatge-upc/rvos/tree/12016db67a18e4c4dea3f42f5b3c0b2623761c5b.

Installation Notes

  • The rvos subfolder is just the existing RVOS code we have cloned - it is there so we can synchronize the files that are needed in the RVOS_FMO.ipynb Colab notebook. This is necessary because Google Colab is mounted on each of our own Google Drives, so the files used by the notebook have to be on each of our accounts if we want to run the notebook.
  • The databases subfolder is created by following the instructions in rvos/README.md with the DAVIS dataset.
  • As such, the RVOS subfolder must be placed at My Drive/FMO-Tracking in each of our Google Drive workspaces.