267 integrate yolo in mast algorithm

[robin-maillot]

Changed package to be able to build from repo or clone (read readme for more info).

Warning: The code currently uses a quick and dirty solution in setup.py that consists of:

• Creating a folder named yolov5-nanovare
• Copy all modules (.py files into that folder)
• Replace all local module imports with prepended yolov5-nanovare

Very dirty but currently works (probably a package that can do this for us later).

NOTE: Since only .py files are copied this may lead to issues (other files can be added on case by case if needed)

[github-actions]

Hello @robin-maillot, thank you for submitting a PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

• Verify your PR is up-to-date with origin/master. If your PR is behind origin/master update by running the following, replacing 'feature' with the name of your local branch:

git remote add upstream https://github.com/ultralytics/yolov5.git
git fetch upstream
git checkout feature  # <----- replace 'feature' with local branch name
git rebase upstream/master
git push -u origin -f

• Verify all Continuous Integration (CI) checks are passing.
• Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." -Bruce Lee