add torchvision detector functionality #375

	name: Update pypi release

	on:
	push:
	tags:
	- 'v..*'
	pull_request:
	branches:
	- main
	- public
	types:
	- labeled
	- opened
	- edited
	- synchronize
	- reopened

	jobs:
	release:
	runs-on: ubuntu-latest

	steps:
	- name: Setup Python
	id: setup-python
	uses: actions/setup-python@v5
	with:
	python-version: '3.x'

	- name: Cache dependencies
	id: pip-cache
	uses: actions/cache@v4
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-pip-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('pyproject.toml', 'requirements.txt', 'setup.cfg', 'setup.py') }}
	restore-keys: \|
	${{ runner.os }}-pip-${{ steps.setup-python.outputs.python-version }}-
	${{ runner.os }}-pip-

	- name: Install dependencies
	run: \|
	pip install --upgrade pip
	pip install wheel
	pip install "packaging>=24.2"
	pip install build
	pip install twine

	- name: Checkout code
	uses: actions/checkout@v4

	- name: Build and publish to PyPI
	if: ${{ github.event_name == 'push' }}
	env:
	TWINE_USERNAME: __token__
	TWINE_PASSWORD: ${{ secrets.TWINE_API_KEY }}
	run: \|
	python -m build
	ls dist/
	tar tvf dist/deeplabcut_live-*.tar.gz
	python3 -m twine upload --verbose dist/*

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