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Introduce the 1.0.0rc0 version of MMTracking (#725)
* Introduce the 1.0.0rc0 version of MMTracking * fix typo
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‎.circleci/config.yml‎

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version: 2.1
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# version: 2.1
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jobs:
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lint:
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docker:
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- image: cimg/python:3.7.4
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steps:
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- checkout
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- run:
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name: Install pre-commit hook
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command: |
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pip install pre-commit
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pre-commit install
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- run:
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name: Linting
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command: pre-commit run --all-files
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- run:
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name: Check docstring coverage
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command: |
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pip install interrogate
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interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 50 mmtrack
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build_cpu:
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parameters:
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# The python version must match available image tags in
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# https://circleci.com/developer/images/image/cimg/python
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python:
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type: string
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default: "3.7.4"
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torch:
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type: string
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torchvision:
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type: string
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docker:
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- image: cimg/python:<< parameters.python >>
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resource_class: large
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steps:
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- checkout
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- run:
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name: Install Libraries
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command: |
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sudo apt-get update
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sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
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- run:
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name: Configure Python & pip
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command: |
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python -m pip install --upgrade pip
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python -m 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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- run:
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name: Install mmtrack dependencies
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command: |
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python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
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python -m pip install mmdet
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python -m pip install -r requirements.txt
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python -m pip install git+https://github.com/votchallenge/toolkit.git
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- run:
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name: Build and install
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command: |
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python -m 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 mmtrack -m pytest tests/
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python -m coverage xml
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python -m coverage report -m
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build_cu101:
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machine:
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image: ubuntu-1604-cuda-10.1:201909-23
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resource_class: gpu.nvidia.small
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steps:
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- checkout
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- run:
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name: Install Libraries
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command: |
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sudo apt-get update
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sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
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- run:
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name: Configure Python & pip
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command: |
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pyenv global 3.7.0
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python -m pip install --upgrade pip
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python -m 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==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
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- run:
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name: Install mmtrack dependencies
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# python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
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command: |
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python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
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python -m pip install mmdet
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python -m pip install -r requirements.txt
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python -m pip install git+https://github.com/votchallenge/toolkit.git
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- run:
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name: Build and install
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command: |
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python setup.py check -m -s
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TORCH_CUDA_ARCH_LIST=7.0 python -m 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 pytest tests/
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workflows:
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unit_tests:
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jobs:
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- lint
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- build_cpu:
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name: build_cpu_th1.6
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torch: 1.6.0
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torchvision: 0.7.0
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.7
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torch: 1.7.0
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torchvision: 0.8.1
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.8_py3.9
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torch: 1.8.0
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torchvision: 0.9.0
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python: "3.9.0"
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.9_py3.8
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torch: 1.9.0
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torchvision: 0.10.0
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python: "3.8.0"
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.9_py3.9
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torch: 1.9.0
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torchvision: 0.10.0
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python: "3.9.0"
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requires:
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- lint
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- build_cu101:
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requires:
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- build_cpu_th1.6
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- build_cpu_th1.7
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- build_cpu_th1.8_py3.9
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- build_cpu_th1.9_py3.8
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- build_cpu_th1.9_py3.9
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# jobs:
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# lint:
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# docker:
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# - image: cimg/python:3.7.4
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# steps:
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# - checkout
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# - run:
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# name: Install pre-commit hook
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# command: |
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# pip install pre-commit
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# pre-commit install
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# - run:
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# name: Linting
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# command: pre-commit run --all-files
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# - run:
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# name: Check docstring coverage
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# command: |
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# pip install interrogate
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# interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 50 mmtrack
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# build_cpu:
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# parameters:
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# # The python version must match available image tags in
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# # https://circleci.com/developer/images/image/cimg/python
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# python:
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# type: string
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# default: "3.7.4"
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# torch:
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# type: string
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# torchvision:
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# type: string
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# docker:
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# - image: cimg/python:<< parameters.python >>
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# resource_class: large
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# steps:
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# - checkout
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# - run:
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# name: Install Libraries
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# command: |
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# sudo apt-get update
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# sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
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# - run:
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# name: Configure Python & pip
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# command: |
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# python -m pip install --upgrade pip
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# python -m 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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# - run:
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# name: Install mmtrack dependencies
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# command: |
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# python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
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# python -m pip install mmdet
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# python -m pip install -r requirements.txt
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# python -m pip install git+https://github.com/votchallenge/toolkit.git
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# - run:
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# name: Build and install
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# command: |
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# python -m 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 mmtrack -m pytest tests/
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# python -m coverage xml
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# python -m coverage report -m
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# build_cu101:
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# machine:
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# image: ubuntu-1604-cuda-10.1:201909-23
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# resource_class: gpu.nvidia.small
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# steps:
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# - checkout
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# - run:
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# name: Install Libraries
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# command: |
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# sudo apt-get update
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# sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
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# - run:
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# name: Configure Python & pip
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# command: |
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# pyenv global 3.7.0
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# python -m pip install --upgrade pip
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# python -m 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==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
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# - run:
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# name: Install mmtrack dependencies
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# # python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
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# command: |
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# python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
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# python -m pip install mmdet
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# python -m pip install -r requirements.txt
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# python -m pip install git+https://github.com/votchallenge/toolkit.git
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# - run:
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# name: Build and install
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# command: |
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# python setup.py check -m -s
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# TORCH_CUDA_ARCH_LIST=7.0 python -m 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 pytest tests/
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# workflows:
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# unit_tests:
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# jobs:
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# - lint
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# - build_cpu:
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# name: build_cpu_th1.6
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# torch: 1.6.0
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# torchvision: 0.7.0
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# requires:
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# - lint
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# - build_cpu:
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# name: build_cpu_th1.7
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# torch: 1.7.0
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# torchvision: 0.8.1
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# requires:
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# - lint
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# - build_cpu:
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# name: build_cpu_th1.8_py3.9
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# torch: 1.8.0
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# torchvision: 0.9.0
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# python: "3.9.0"
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# requires:
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# - lint
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# - build_cpu:
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# name: build_cpu_th1.9_py3.8
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# torch: 1.9.0
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# torchvision: 0.10.0
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# python: "3.8.0"
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# requires:
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# - lint
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# - build_cpu:
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# name: build_cpu_th1.9_py3.9
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# torch: 1.9.0
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# torchvision: 0.10.0
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# python: "3.9.0"
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# requires:
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# - lint
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# - build_cu101:
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# requires:
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# - build_cpu_th1.6
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# - build_cpu_th1.7
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# - build_cpu_th1.8_py3.9
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# - build_cpu_th1.9_py3.8
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# - build_cpu_th1.9_py3.9

‎README.md‎

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## What's New
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- Release [OC-SORT](configs/mot/ocsort/) pretrained models.
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We release MMTracking 1.0.0rc0, the first version of MMTracking 1.x.
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v0.13.0 was released in 29/04/2022.
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Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
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Built upon the new [training engine](https://github.com/open-mmlab/mmengine), MMTracking 1.x unifies the interfaces of datasets, models, evaluation, and visualization.
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We also support more methods in MMTracking 1.x, such as [StrongSORT](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/mot/strongsort) for MOT, [Mask2Former](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/vis/mask2former) for VIS, [PrDiMP](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/sot/prdimp) for SOT.
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Please refer to [dev-1.x](https://github.com/open-mmlab/mmtracking/tree/dev-1.x) branch for the using of MMTracking 1.x.
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## Installation
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