Summary: In previous code, the valid_bbox function was only designed for XYWH horizontal bboxes, this caused XYWHA rotated bboxes being marked invalid when the bboxes are large or close to the right edge of the image. So writing a valid_bbox_rotated for XYWHA format bbox separately #1803

	name: CI

	on:
	push:
	pull_request:
	schedule:
	- cron: "0 0 * * *" # @daily

	jobs:
	python-unittest-cpu:

	runs-on: ubuntu-latest

	steps:
	- uses: actions/checkout@v2
	- uses: seanmiddleditch/gha-setup-ninja@master

	- name: Set up Python
	uses: s-weigand/setup-conda@v1
	with:
	python-version: 3.8

	- name: Install PyTorch
	run: \|
	conda install pytorch torchvision -c pytorch-nightly
	wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
	python collect_env.py

	- name: Install Dependencies
	run: \|
	pip install git+https://github.com/facebookresearch/detectron2.git
	pip install git+https://github.com/facebookresearch/mobile-vision
	pip install scikit-learn
	pip install pytest pytest-xdist nbval
	pip install -e .

	- name: Run pytest
	run: \|
	python -m pytest -n 4 --durations=15 -sv tests/ --ignore=tests/skip_init/

	- name: Run pytest (skip initializer)
	run: \|
	D2GO_IMPORT_SKIP_INITIALIZATION=1 python -m pytest -n 4 --durations=15 -sv tests/skip_init/

	- name: Test Notebooks
	run: \|
	find . -name *.ipynb \| CI=true xargs pytest --nbval-lax --current-env

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