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Bump version to v1.3.0
Bump version to v1.3.0
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‎.circleci/test.yml

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@@ -54,9 +54,7 @@ jobs:
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pip install wheel
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- run:
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name: Install PyTorch
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command: |
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python -V
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python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
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command: pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- when:
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condition:
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equal: ["3.9.0", << parameters.python >>]
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- run:
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name: Install mmdet3d dependencies
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command: |
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python -m pip install git+ssh://[email protected]/open-mmlab/mmengine.git@main
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pip install git+ssh://[email protected]/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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mim install 'mmdet >= 3.0.0'
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pip install -r requirements.txt
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pip install git+ssh://[email protected]/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- run:
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name: Build and install
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command: |
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pip install -e .
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- run:
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name: Run unittests
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command: |
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python -m coverage run --branch --source mmdet3d -m pytest tests/
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python -m coverage xml
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python -m coverage report -m
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coverage run --branch --source mmdet3d -m pytest tests/
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coverage xml
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coverage report -m
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build_cuda:
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parameters:
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torch:
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type: string
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cuda:
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type: enum
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enum: ["10.1", "10.2", "11.1"]
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enum: ["11.1", "11.7"]
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cudnn:
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type: integer
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default: 7
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default: 8
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machine:
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image: ubuntu-2004-cuda-11.4:202110-01
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# docker_layer_caching: true
@@ -116,15 +114,15 @@ jobs:
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docker exec mmdet3d pip install -U openmim
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docker exec mmdet3d mim install 'mmcv >= 2.0.0rc4'
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docker exec mmdet3d pip install -e /mmdetection
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docker exec mmdet3d pip install -r requirements.txt
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docker exec mmdet3d pip install -r requirements/tests.txt
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- run:
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name: Build and install
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command: |
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docker exec mmdet3d pip install -e .
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- run:
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name: Run unittests
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command: |
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docker exec mmdet3d python -m pytest tests/
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docker exec mmdet3d pytest tests/
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workflows:
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pr_stage_lint:
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- dev-1.x
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- build_cpu:
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name: minimum_version_cpu
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torch: 1.6.0
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torchvision: 0.7.0
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torch: 1.8.1
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torchvision: 0.9.1
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python: 3.7.4 # The lowest python 3.7.x version available on CircleCI images
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requires:
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- lint
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- build_cpu:
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name: maximum_version_cpu
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torch: 1.13.0
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torchvision: 0.14.0
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torch: 2.0.0
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torchvision: 0.15.1
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python: 3.9.0
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requires:
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- minimum_version_cpu
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torch: 1.8.1
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# Use double quotation mark to explicitly specify its type
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# as string instead of number
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cuda: "10.2"
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cuda: "11.1"
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requires:
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- hold
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- build_cuda:
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name: maximum_version_gpu
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torch: 2.0.0
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cuda: "11.7"
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cudnn: 8
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requires:
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- hold
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merge_stage_test:
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jobs:
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- build_cuda:
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name: minimum_version_gpu
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torch: 1.6.0
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cuda: "10.1"
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torch: 1.8.1
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cuda: "11.1"
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filters:
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branches:
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only:

‎.github/workflows/merge_stage_test.yml

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@@ -21,7 +21,7 @@ jobs:
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runs-on: ubuntu-22.04
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strategy:
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matrix:
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python-version: [3.7, 3.8, 3.9]
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python-version: [3.8, 3.9]
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torch: [1.8.1]
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include:
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- torch: 1.8.1
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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- name: Install MMDet
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run: mim install 'mmdet>=3.0.0'
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run: pip install git+https://github.com/open-mmlab/[email protected]
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- name: Install other dependencies
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run: pip install -r requirements/tests.txt
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- name: Build and install
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.1, 1.13.0]
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torch: [1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0]
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include:
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- torch: 1.6.0
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torchvision: 0.7.0
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- torch: 1.7.1
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torchvision: 0.8.2
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- torch: 1.8.1
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torchvision: 0.9.1
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- torch: 1.9.1
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torchvision: 0.11.2
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- torch: 1.11.0
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torchvision: 0.12.0
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- torch: 1.12.1
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torchvision: 0.13.1
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- torch: 1.12.0
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torchvision: 0.13.0
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- torch: 1.13.0
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torchvision: 0.14.0
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- torch: 2.0.0
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- python-version: 3.8
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torch: 2.0.0
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torchvision: 0.15.1
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python-version: 3.8
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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- name: Install MMDet
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run: mim install 'mmdet>=3.0.0'
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run: pip install git+https://github.com/open-mmlab/[email protected]
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- name: Install other dependencies
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run: pip install -r requirements/tests.txt
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- name: Build and install
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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mim install 'mmdet>=3.0.0'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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mim install 'mmdet>=3.0.0'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmcv -m pytest tests
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coverage xml
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coverage report -m
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build_cu117:
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runs-on: ubuntu-22.04
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container:
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image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
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strategy:
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matrix:
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python-version: [3.9]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Upgrade pip
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run: pip install pip --upgrade && pip install wheel
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install system dependencies
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run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
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- name: Install mmdet3d dependencies
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run: |
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .
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platform: [cpu, cu111]
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torchvision: [0.9.1]
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include:
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- python-version: 3.8
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platform: cu117
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torch: 2.0.0
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torchvision: 0.15.1
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python }}
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python }}
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python-version: ${{ matrix.python-version }}
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- name: Upgrade pip
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run: python -m pip install pip --upgrade && pip install wheel
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- name: Install lmdb
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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mim install 'mmdet>=3.0.0'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .

‎.github/workflows/pr_stage_test.yml

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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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- name: Install MMDet
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run: mim install 'mmdet>=3.0.0'
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run: pip install git+https://github.com/open-mmlab/[email protected]
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- name: Install other dependencies
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run: pip install -r requirements/tests.txt
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- name: Build and install
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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mim install 'mmdet>=3.0.0'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmdet3d -m pytest tests/
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coverage xml
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coverage report -m
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build_cu117:
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runs-on: ubuntu-22.04
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container:
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image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
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strategy:
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matrix:
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python-version: [3.9]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Upgrade pip
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run: pip install pip --upgrade && pip install wheel
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install system dependencies
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run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
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- name: Install mmdet3d dependencies
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run: |
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc4'
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pip install git+https://github.com/open-mmlab/[email protected]
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pip install -r requirements/tests.txt
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- name: Build and install
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run: pip install -e .
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platform: [cpu, cu111]
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torch: [1.8.1]
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torchvision: [0.9.1]
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include:
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- python-version: 3.8
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platform: cu117
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torch: 2.0.0
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torchvision: 0.15.1
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/[email protected]
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- name: Build and install
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run: pip install -e .

‎.github/workflows/test_mim.yml

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include:
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- torch: 1.8.1
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torch_version: torch1.8
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torchvision: 0.9.1
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- name: Set up Python ${{ matrix.python-version }}

‎.readthedocs.yml

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version: 2
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build:
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os: ubuntu-22.04
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tools:
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python: "3.8"
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formats:
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- epub
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version: 3.7
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- requirements: requirements/docs.txt
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- requirements: requirements/readthedocs.txt

‎README.md

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We have constructed a comprehensive LiDAR semantic segmentation benchmark on SemanticKITTI, including Cylinder3D, MinkUNet and SPVCNN methods. Noteworthy, the improved MinkUNetv2 can achieve 70.3 mIoU on the validation set of SemanticKITTI. We have also supported the training of BEVFusion and an occupancy prediction method, TPVFomrer, in our `projects`. More new features about 3D perception are on the way. Please stay tuned!
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**v1.3.0** was released in 18/10/2023:
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- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects`
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- Enhance demos with new 3D inferencers
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**v1.2.0** was released in 4/7/2023
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- Support [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) in `mmdet3d/config`
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- Support [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) in `mmdet3d/configs`
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- Support the inference of [DSVT](<(https://arxiv.org/abs/2301.06051)>) in `projects`
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- Support downloading datasets from [OpenDataLab](https://opendatalab.com/) using `mim`
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