[Enhance] In browse dataset : CombinedDataset element are now browse in turn, and image saved into their dataset name folder #1410

Workflow file for this run

.github/workflows/pr_stage_test.yml at 9b925c3

	name: pr_stage_test

	on:
	pull_request:
	paths-ignore:
	- 'README.md'
	- 'README_zh-CN.md'
	- 'docs/**'
	- 'demo/**'
	- '.dev_scripts/**'
	- '.circleci/**'

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	build_cpu:
	runs-on: ubuntu-22.04
	strategy:
	matrix:
	python-version: [3.7]
	include:
	- torch: 1.8.1
	torchvision: 0.9.1
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Install Numpy
	run: pip install -U numpy
	- name: Install PyTorch
	run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
	- name: Install mmpose dependencies
	run: \|
	python -m pip install --upgrade pip setuptools wheel
	pip install -U numpy
	pip install git+https://github.com/open-mmlab/mmengine.git@main
	pip install -U openmim
	mim install 'mmcv >= 2.0.0'
	pip install git+https://github.com/open-mmlab/[email protected]
	pip install -r requirements/tests.txt
	pip install -r requirements/runtime.txt
	pip install -r requirements/albu.txt
	pip install -r requirements/poseval.txt
	- name: Build and install
	run: rm -rf .eggs && pip install -e .
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmpose -m pytest tests/
	coverage xml
	coverage report -m
	# Upload coverage report for python3.7 && pytorch1.8.1 cpu
	- name: Upload coverage to Codecov
	uses: codecov/[email protected]
	with:
	file: ./coverage.xml
	flags: unittests
	env_vars: OS,PYTHON
	name: codecov-umbrella
	fail_ci_if_error: false

	build_cu102:
	runs-on: ubuntu-22.04
	container:
	image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
	strategy:
	matrix:
	python-version: [3.7]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Fetch GPG keys
	run: \|
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
	- name: Install Python-dev
	run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
	if: ${{matrix.python-version != 3.9}}
	- name: Install system dependencies
	run: \|
	apt-get update
	apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev
	- name: Install mmpose dependencies
	run: \|
	pip install -U numpy
	pip install git+https://github.com/open-mmlab/mmengine.git@main
	pip install -U openmim
	mim install 'mmcv >= 2.0.0'
	pip install git+https://github.com/open-mmlab/[email protected]
	pip install -r requirements/tests.txt
	pip install -r requirements/runtime.txt
	pip install -r requirements/albu.txt
	pip install -r requirements/poseval.txt
	- name: Build and install
	run: rm -rf .eggs && pip install -e .
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmpose -m pytest tests/
	coverage xml
	coverage report -m

	build_cu117:
	runs-on: ubuntu-22.04
	container:
	image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
	strategy:
	matrix:
	python-version: [3.9]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Fetch GPG keys
	run: \|
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
	- name: Install system dependencies
	run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev
	- name: Install mmpose dependencies
	run: \|
	pip install -U numpy
	pip install git+https://github.com/open-mmlab/mmengine.git@main
	pip install -U openmim
	mim install 'mmcv >= 2.0.0'
	pip install git+https://github.com/open-mmlab/[email protected]
	pip install -r requirements/tests.txt
	pip install -r requirements/runtime.txt
	pip install -r requirements/albu.txt
	pip install -r requirements/poseval.txt
	- name: Build and install
	run: rm -rf .eggs && pip install -e .
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmpose -m pytest tests/
	coverage xml
	coverage report -m

	build_windows:
	runs-on: windows-2022
	strategy:
	matrix:
	os: [windows-2022]
	python: [3.7]
	platform: [cpu, cu111]
	torch: [1.8.1]
	torchvision: [0.9.1]
	include:
	- python-version: 3.8
	platform: cu117
	torch: 2.0.0
	torchvision: 0.15.1
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: python -m pip install pip --upgrade
	- name: Install lmdb
	run: python -m pip install lmdb
	- name: Install PyTorch
	run: python -m pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
	- name: Install mmpose dependencies
	run: \|
	python -m pip install -U numpy
	python -m pip install --upgrade pip setuptools wheel
	python -m pip install git+https://github.com/open-mmlab/mmengine.git@main
	python -m pip install -U openmim
	mim install 'mmcv >= 2.0.0'
	mim install git+https://github.com/open-mmlab/[email protected]
	python -m pip install -r requirements/tests.txt
	python -m pip install -r requirements/albu.txt
	python -m pip install -r requirements/poseval.txt
	- name: Build and install
	run: \|
	python -m pip install -e . -v
	- name: Run unittests and generate coverage report
	run: \|
	pytest tests/

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[Enhance] In browse dataset : CombinedDataset element are now browse in turn, and image saved into their dataset name folder #1410

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[Enhance] In browse dataset : CombinedDataset element are now browse in turn, and image saved into their dataset name folder #1410

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Workflow file for this run