refactor: Refactored package for incoming v0.2

[frgfm]

This PR introduces the following modifications:

• adds proper code quality config (isort, mypy, flake8, pydocstyle)
• updates issue templates
• adds CI job for header & requirement verifications
• adds CI job for code quality verification
• adds code of conduct
• removes pyrovision.nn
• refactored models : removes ssresnet, densenet, mobilenetv2 / adds mobilenetv3
• switched test suite from unittest to pytest
• removes legacy documentation sections
• updates classification training script

The goal of this PR is to help speed up iterations by R&D teams. PyroVision is not meant primarily for model exploration, Pyronear curates and provides relevant data, and model that will be trained on them. Thus features for model modification have been deprecated. Next PR will focus on checkpoint sharing and loading via HF Hub!

Any feedback is welcome!

[codecov]

Codecov Report

Merging #138 (244952c) into master (40ddf2f) will decrease coverage by 3.16%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master     #138      +/-   ##
==========================================
- Coverage   92.33%   89.16%   -3.17%     
==========================================
  Files          18        8      -10     
  Lines         652      203     -449     
==========================================
- Hits          602      181     -421     
+ Misses         50       22      -28     

Flag	Coverage Δ
unittests	89.16% <100.00%> (-3.17%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
pyrovision/datasets/__init__.py	100.00% <ø> (ø)
pyrovision/datasets/openfire.py	91.56% <100.00%> (+0.54%)	⬆️
pyrovision/datasets/utils.py	77.61% <100.00%> (-13.16%)	⬇️
pyrovision/models/__init__.py	100.00% <100.00%> (ø)
pyrovision/models/mobilenetv3.py	100.00% <100.00%> (ø)
pyrovision/models/resnet.py	100.00% <100.00%> (+17.39%)	⬆️
pyrovision/models/rexnet.py	100.00% <100.00%> (+4.16%)	⬆️

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[MateoLostanlen]

our current model used by pyro-engine was based on this architecture it not possible to load the model anymore now :/

[frgfm]

Yes, that's why the release is on hold while we haven't published new sets of params 👍 Sorry about the incovenience!

To use the previous one, one can checkout the commit right before this one. But the goal is to make everything clean for 0.2.0. I still need to retrain our baseline on those architectures and publish it

If you have training undergoing, I'd suggest using the updated scripts & architectures (should get better perf) 👍