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So you've joined the vision team!

Things to start with

  • Basic understanding of python
  • basic understanding of ML - especially keras
    • training url
  • basic understanding of python packages such as pandas
    • training url

First task

  • clone the git repo
    • git clone url
  • create a new branch for your change
    • git checkout -b yourBranchName
  • download a video from the repo of training videos [url] - ideally one not yet in timestamps
  • Create a csv in timestamps with the name of the video, and timestamps referencing the object at each part of the video
    • use other csv's in that folder for reference
  • run video-frames.py on your video folder
  • add, commit, and push your new csv folder
    • git add nameOfCSV (or git add . to add everything)
    • git commit nameOfCSV -m "my message" (or git commit . to commit everything added)
    • git push git push --set-upstream origin yourBranchName
    • go to the provided link, and create a pull request to dev (never to master!) Congrats! You've made your changes to the repo

Google Colab

Google colab can be used to train code without your own gpu.

Supervisely

How we label the bounding boxes for our code