From cd5c4ce7f107048d5f19bda787c3a30a910c1c02 Mon Sep 17 00:00:00 2001 From: Peng Lu Date: Mon, 17 Apr 2023 14:52:53 +0800 Subject: [PATCH] [Fix] Update Ubuntu version to fix CI (#2239) --- .circleci/test.yml | 13 ++- .github/workflows/merge_stage_test.yml | 58 +++++++++----- .github/workflows/pr_stage_test.yml | 80 ++++++++++++++++--- .../rtmpose/ap10k/rtmpose_ap10k.md | 2 +- .../coco/resnet_debias_coco.md | 2 +- .../rtmpose/coco/rtmpose_coco.md | 20 ++--- .../rtmpose/crowdpose/rtmpose_crowdpose.md | 2 +- .../rtmpose/mpii/rtmpose_mpii.md | 6 +- .../coco-wholebody/rtmpose_coco-wholebody.md | 6 +- 9 files changed, 136 insertions(+), 53 deletions(-) diff --git a/.circleci/test.yml b/.circleci/test.yml index 305544a94e..534ba7fa4e 100644 --- a/.circleci/test.yml +++ b/.circleci/test.yml @@ -83,7 +83,7 @@ jobs: type: string cuda: type: enum - enum: ["11.0"] + enum: ["11.0", "11.7"] cudnn: type: integer default: 8 @@ -157,8 +157,8 @@ workflows: - lint - build_cpu: name: maximum_version_cpu - torch: 1.13.0 - torchvision: 0.14.0 + torch: 2.0.0 + torchvision: 0.15.1 python: 3.9.0 requires: - minimum_version_cpu @@ -174,6 +174,13 @@ workflows: cuda: "11.0" requires: - hold + - build_cuda: + name: maximum_version_gpu + torch: 2.0.0 + cuda: "11.7" + cudnn: 8 + requires: + - hold merge_stage_test: when: not: diff --git a/.github/workflows/merge_stage_test.yml b/.github/workflows/merge_stage_test.yml index a9ff9715d9..d2a64590ae 100644 --- a/.github/workflows/merge_stage_test.yml +++ b/.github/workflows/merge_stage_test.yml @@ -18,7 +18,7 @@ concurrency: jobs: build_cpu_py: - runs-on: ubuntu-18.04 + runs-on: ubuntu-22.04 strategy: matrix: python-version: [3.8, 3.9] @@ -27,9 +27,9 @@ jobs: - torch: 1.8.1 torchvision: 0.9.1 steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -45,10 +45,13 @@ jobs: pip install -U openmim mim install 'mmcv >= 2.0.0rc1' - name: Install MMDet - run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x + run: | + python -m pip install --upgrade pip setuptools wheel + pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x - name: Install other dependencies run: | 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 @@ -60,7 +63,7 @@ jobs: coverage report -m build_cpu_pt: - runs-on: ubuntu-18.04 + runs-on: ubuntu-22.04 strategy: matrix: python-version: [3.7] @@ -82,10 +85,13 @@ jobs: torchvision: 0.13.1 - torch: 1.13.0 torchvision: 0.14.0 + - torch: 2.0.0 + torchvision: 0.15.1 + python-version: 3.8 steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -101,10 +107,13 @@ jobs: pip install -U openmim mim install 'mmcv >= 2.0.0rc1' - name: Install MMDet - run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x + run: | + python -m pip install --upgrade pip setuptools wheel + pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x - name: Install other dependencies run: | 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 @@ -126,7 +135,7 @@ jobs: fail_ci_if_error: false build_cu102: - runs-on: ubuntu-18.04 + runs-on: ubuntu-22.04 container: image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel strategy: @@ -136,9 +145,9 @@ jobs: - torch: 1.8.1 cuda: 10.2 steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -161,24 +170,35 @@ jobs: mim install 'mmcv >= 2.0.0rc1' pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x 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: | - python setup.py check -m -s - TORCH_CUDA_ARCH_LIST=7.0 pip install -e . + coverage run --branch --source mmpose -m pytest tests/ + coverage xml + coverage report -m build_windows: - runs-on: ${{ matrix.os }} + 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@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -186,7 +206,7 @@ jobs: - name: Install lmdb run: python -m pip install lmdb - name: Install PyTorch - run: python -m pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html + run: python -m pip install torch==${{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 @@ -195,11 +215,13 @@ jobs: mim install 'mmcv >= 2.0.0rc1' python -m pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x python -m pip install -r requirements/tests.txt + python -m pip install -r requirements/runtime.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 . + python -m pip install --upgrade pip setuptools wheel + python -m pip install -e . -v - name: Run unittests and generate coverage report run: | pytest tests/ diff --git a/.github/workflows/pr_stage_test.yml b/.github/workflows/pr_stage_test.yml index 74d041d0b0..c5f99b0ebd 100644 --- a/.github/workflows/pr_stage_test.yml +++ b/.github/workflows/pr_stage_test.yml @@ -16,7 +16,7 @@ concurrency: jobs: build_cpu: - runs-on: ubuntu-18.04 + runs-on: ubuntu-22.04 strategy: matrix: python-version: [3.7] @@ -24,9 +24,9 @@ jobs: - torch: 1.8.1 torchvision: 0.9.1 steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -37,12 +37,14 @@ jobs: run: pip install torch==${{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 >= 2.0.0rc1' pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x 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 @@ -63,16 +65,16 @@ jobs: fail_ci_if_error: false build_cu102: - runs-on: ubuntu-18.04 + 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@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -96,24 +98,75 @@ jobs: mim install 'mmcv >= 2.0.0rc1' pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x 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: | - python setup.py check -m -s - TORCH_CUDA_ARCH_LIST=7.0 pip install -e . + pip install -U numpy + pip install git+https://github.com/open-mmlab/mmengine.git@main + pip install -U openmim + mim install 'mmcv >= 2.0.0rc1' + pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x + 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: ${{ matrix.os }} + 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@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Upgrade pip @@ -121,7 +174,7 @@ jobs: - name: Install lmdb run: python -m pip install lmdb - name: Install PyTorch - run: python -m pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html + run: python -m pip install torch==${{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 @@ -134,7 +187,8 @@ jobs: python -m pip install -r requirements/poseval.txt - name: Build and install run: | - python -m pip install -e . + python -m pip install --upgrade pip setuptools wheel + python -m pip install -e . -v - name: Run unittests and generate coverage report run: | pytest tests/ diff --git a/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md index 6303a131da..bfa509c917 100644 --- a/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md +++ b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md @@ -22,4 +22,4 @@ Results on AP-10K validation set | Arch | Input Size | AP | AP50 | AP75 | APM | APL | ckpt | log | | :----------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :------------: | :------------: | :-----------------------------------------: | :----------------------------------------: | -| [rtmpose-m](./rtmpose-m_8xb64-210e_ap10k-256x256.py) | 256x256 | 0.722 | 0.939 | 0.788 | 0.569 | 0.728 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.json) | +| [rtmpose-m](/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose-m_8xb64-210e_ap10k-256x256.py) | 256x256 | 0.722 | 0.939 | 0.788 | 0.569 | 0.728 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.json) | diff --git a/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md index 0820fdd296..40e3660e4f 100644 --- a/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md +++ b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md @@ -54,4 +54,4 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da | Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log | | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: | -| [debias-ipr_resnet_50](/configs/body_2d_keypoint/integral_regression/coco/ipr_res50_debias--8xb64-210e_coco-256x256.py) | 256x256 | 0.675 | 0.872 | 0.740 | 0.765 | 0.928 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.log.json) | +| [debias-ipr_resnet_50](/configs/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256.py) | 256x256 | 0.675 | 0.872 | 0.740 | 0.765 | 0.928 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.log.json) | diff --git a/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md index 2b3d4447e1..1e88d51255 100644 --- a/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md +++ b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md @@ -59,13 +59,13 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da | Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log | | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: | -| [rtmpose-t](./rtmpose-t_8xb256-420e_coco-256x192.py) | 256x192 | 0.682 | 0.883 | 0.759 | 0.736 | 0.920 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.json) | -| [rtmpose-s](./rtmpose-s_8xb256-420e_coco-256x192.py) | 256x192 | 0.716 | 0.892 | 0.789 | 0.768 | 0.929 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.json) | -| [rtmpose-m](./rtmpose-m_8xb256-420e_coco-256x192.py) | 256x192 | 0.746 | 0.899 | 0.817 | 0.795 | 0.935 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.json) | -| [rtmpose-l](./rtmpose-l_8xb256-420e_coco-256x192.py) | 256x192 | 0.758 | 0.906 | 0.826 | 0.806 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.json) | -| [rtmpose-t-aic-coco](./rtmpose-t_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.685 | 0.880 | 0.761 | 0.738 | 0.918 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.json) | -| [rtmpose-s-aic-coco](./rtmpose-s_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.722 | 0.892 | 0.794 | 0.772 | 0.929 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.json) | -| [rtmpose-m-aic-coco](./rtmpose-m_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.758 | 0.903 | 0.826 | 0.806 | 0.940 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.json) | -| [rtmpose-l-aic-coco](./rtmpose-l_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.765 | 0.906 | 0.835 | 0.813 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.json) | -| [rtmpose-m-aic-coco](./rtmpose-m_8xb256-420e_aic-coco-384x288.py) | 384x288 | 0.770 | 0.908 | 0.833 | 0.816 | 0.943 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.json) | -| [rtmpose-l-aic-coco](./rtmpose-l_8xb256-420e_aic-coco-384x288.py) | 384x288 | 0.773 | 0.907 | 0.835 | 0.819 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.json) | +| [rtmpose-t](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_coco-256x192.py) | 256x192 | 0.682 | 0.883 | 0.759 | 0.736 | 0.920 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.json) | +| [rtmpose-s](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_coco-256x192.py) | 256x192 | 0.716 | 0.892 | 0.789 | 0.768 | 0.929 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.json) | +| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_coco-256x192.py) | 256x192 | 0.746 | 0.899 | 0.817 | 0.795 | 0.935 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.json) | +| [rtmpose-l](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_coco-256x192.py) | 256x192 | 0.758 | 0.906 | 0.826 | 0.806 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.json) | +| [rtmpose-t-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.685 | 0.880 | 0.761 | 0.738 | 0.918 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.json) | +| [rtmpose-s-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.722 | 0.892 | 0.794 | 0.772 | 0.929 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.json) | +| [rtmpose-m-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.758 | 0.903 | 0.826 | 0.806 | 0.940 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.json) | +| [rtmpose-l-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-256x192.py) | 256x192 | 0.765 | 0.906 | 0.835 | 0.813 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.json) | +| [rtmpose-m-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-384x288.py) | 384x288 | 0.770 | 0.908 | 0.833 | 0.816 | 0.943 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.json) | +| [rtmpose-l-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-384x288.py) | 384x288 | 0.773 | 0.907 | 0.835 | 0.819 | 0.942 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.json) | diff --git a/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md index 35048ee9ef..a75855d564 100644 --- a/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md +++ b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md @@ -57,4 +57,4 @@ Results on CrowdPose test with [YOLOv3](https://github.com/eriklindernoren/PyTor | Arch | Input Size | AP | AP50 | AP75 | AP (E) | AP (M) | AP (H) | ckpt | log | | :--------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :----: | :----: | :----: | :--------------------------------------------: | :-------------------------------------------: | -| [rtmpose-m](./rtmpose-m_8xb64-210e_crowdpose-256x192.py) | 256x192 | 0.706 | 0.841 | 0.765 | 0.799 | 0.719 | 0.582 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.json) | +| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose-m_8xb64-210e_crowdpose-256x192.py) | 256x192 | 0.706 | 0.841 | 0.765 | 0.799 | 0.719 | 0.582 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.json) | diff --git a/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md index b9c8f5a6bd..b31df64403 100644 --- a/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md +++ b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md @@ -38,6 +38,6 @@ Results on MPII val set -| Arch | Input Size | Mean / w. flip | Mean@0.1 | ckpt | log | -| :-------------------------------------------------- | :--------: | :------------: | :------: | :---------------------------------------------------------: | :--------------------------------------------------------: | -| [rtmpose-m](./rtmpose-m_8xb64-210e_mpii-256x256.py) | 256x256 | 0.907 | 0.348 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.json) | +| Arch | Input Size | Mean / w. flip | Mean@0.1 | ckpt | log | +| :------------------------------------------------------- | :--------: | :------------: | :------: | :------------------------------------------------------: | :------------------------------------------------------: | +| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/mpii/rtmpose-m_8xb64-210e_mpii-256x256.py) | 256x256 | 0.907 | 0.348 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.json) | diff --git a/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md index 75cf6245ff..ae338afe1e 100644 --- a/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md +++ b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md @@ -57,6 +57,6 @@ Results on COCO-WholeBody v1.0 val with detector having human AP of 56.4 on COCO | Arch | Input Size | Body AP | Body AR | Foot AP | Foot AR | Face AP | Face AR | Hand AP | Hand AR | Whole AP | Whole AR | ckpt | log | | :-------------------------------------- | :--------: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :------: | :--------------------------------------: | :-------------------------------------: | -| [rtmpose-m](./rtmpose-m_8xb64-270e_coco-wholebody-256x192.py) | 256x192 | 0.697 | 0.743 | 0.660 | 0.749 | 0.822 | 0.858 | 0.483 | 0.564 | 0.604 | 0.667 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.json) | -| [rtmpose-l](./rtmpose-l_8xb64-270e_coco-wholebody-256x192.py) | 256x192 | 0.721 | 0.764 | 0.693 | 0.780 | 0.844 | 0.876 | 0.523 | 0.600 | 0.632 | 0.694 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.json) | -| [rtmpose-l](./rtmpose-l_8xb32-270e_coco-wholebody-384x288.py) | 384x288 | 0.736 | 0.776 | 0.738 | 0.810 | 0.895 | 0.918 | 0.591 | 0.659 | 0.670 | 0.723 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.json) | +| [rtmpose-m](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-m_8xb64-270e_coco-wholebody-256x192.py) | 256x192 | 0.697 | 0.743 | 0.660 | 0.749 | 0.822 | 0.858 | 0.483 | 0.564 | 0.604 | 0.667 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.json) | +| [rtmpose-l](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb64-270e_coco-wholebody-256x192.py) | 256x192 | 0.721 | 0.764 | 0.693 | 0.780 | 0.844 | 0.876 | 0.523 | 0.600 | 0.632 | 0.694 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.json) | +| [rtmpose-l](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py) | 384x288 | 0.736 | 0.776 | 0.738 | 0.810 | 0.895 | 0.918 | 0.591 | 0.659 | 0.670 | 0.723 | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.json) |