bump version to v0.14.0 (#1943)

* update * bump version * Update README.md * fix conflicts * fix ci * fix circleci * upgrade to ubuntu20.04 for github ci * update * install glibc * try to fix cuda build * try to fix cuda build * fix build-cu102 && build_cpu_sdk * revert to setup-python@v2 * try to fix pplnn * fix protobuf --------- Co-authored-by: Xin Chen <irexyc@gmail.com>
2023-04-05 14:28:00 +08:00 · 2023-04-05 14:28:00 +08:00 · c73756366e
parent af16b9a451
commit c73756366e
34 changed files with 113 additions and 150 deletions
--- a/.circleci/test.yml
+++ b/.circleci/test.yml
@ -74,7 +74,7 @@ commands:
      - run:
          name: Install mmcv-full
          command: |
-            python -m pip install opencv-python==4.5.4.60
+            python -m pip install opencv-python==4.5.4.60 opencv-contrib-python==4.5.4.60 opencv-python-headless==4.5.4.60
            python -m pip install mmcv-full==<< parameters.version >> -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
  install_mmcv_cuda:
    parameters:
@ -91,7 +91,7 @@ commands:
      - run:
          name: Install mmcv-full
          command: |
-            python -m pip install opencv-python==4.5.4.60
+            python -m pip install opencv-python==4.5.4.60 opencv-contrib-python==4.5.4.60 opencv-python-headless==4.5.4.60
            python -m pip install mmcv-full==<< parameters.version >> -f https://download.openmmlab.com/mmcv/dist/<< parameters.cuda >>/torch<< parameters.torch >>/index.html
  install_mmdeploy:
    description: "Install MMDeploy"
--- a/.github/workflows/backend-ascend.yml
+++ b/.github/workflows/backend-ascend.yml
@ -21,13 +21,13 @@ permissions:

 jobs:
  build_sdk_demo:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    strategy:
      matrix:
        python-version: [3.7]
    steps:
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Checkout repository
@ -40,9 +40,7 @@ jobs:
        run: |
          sudo apt update
          sudo apt install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc++1-9 libc++abi1-9
-          sudo add-apt-repository ppa:ignaciovizzo/opencv3-nonfree
          sudo apt install libopencv-dev
-          pkg-config --libs opencv
      - name: Install Ascend Toolkit
        run: |
          mkdir -p $GITHUB_WORKSPACE/Ascend
--- a/.github/workflows/backend-ncnn.yml
+++ b/.github/workflows/backend-ncnn.yml
@ -29,7 +29,7 @@ permissions:

 jobs:
  test_onnx2ncnn:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    strategy:
      matrix:
        python-version: [3.7]
@ -39,7 +39,7 @@ jobs:
        with:
          submodules: 'recursive'
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install unittest dependencies
@ -82,12 +82,12 @@ jobs:
        with:
          submodules: 'recursive'
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install mmdeploy
        run: |
-          python3 tools/scripts/build_ubuntu_x64_ncnn.py
          python3 -m pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu
          python3 -m pip install mmcv-full==1.5.1  -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8.0/index.html
+          python3 tools/scripts/build_ubuntu_x64_ncnn.py 8
          python3 -c 'import mmdeploy.apis.ncnn as ncnn_api; assert ncnn_api.is_available(with_custom_ops=True)'
--- a/.github/workflows/backend-ort.yml
+++ b/.github/workflows/backend-ort.yml
@ -31,14 +31,14 @@ jobs:
        with:
          submodules: 'recursive'
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install mmdeploy
        run: |
-          python3 tools/scripts/build_ubuntu_x64_ort.py
          python3 -m pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu
          python3 -m pip install mmcv-full==1.5.1  -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8.0/index.html
+          python3 tools/scripts/build_ubuntu_x64_ort.py 8
          python3 -c 'import mmdeploy.apis.onnxruntime as ort_api; assert ort_api.is_available(with_custom_ops=True)'
      - name: test mmcls full pipeline
        run: |
--- a/.github/workflows/backend-pplnn.yml
+++ b/.github/workflows/backend-pplnn.yml
@ -21,22 +21,15 @@ permissions:

 jobs:
  script_install:
-    runs-on: ubuntu-18.04
-    strategy:
-      matrix:
-        python-version: [3.7]
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
      - name: Install mmdeploy
        run: |
-          python3 tools/scripts/build_ubuntu_x64_pplnn.py
          python3 -m pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu
          python3 -m pip install mmcv-full==1.5.1  -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8.0/index.html
+          python3 tools/scripts/build_ubuntu_x64_pplnn.py 8
          python3 -c 'import mmdeploy.apis.pplnn as pplnn_api; assert pplnn_api.is_available()'
--- a/.github/workflows/backend-rknn.yml
+++ b/.github/workflows/backend-rknn.yml
@ -22,7 +22,7 @@ permissions:

 jobs:
  build_rknpu2:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
@ -34,7 +34,7 @@ jobs:
        run: |
          sh -x tools/scripts/ubuntu_cross_build_rknn.sh rk3588
  build_rknpu:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
--- a/.github/workflows/backend-snpe.yml
+++ b/.github/workflows/backend-snpe.yml
@ -21,7 +21,7 @@ permissions:

 jobs:
  build_sdk_demo:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
@ -34,9 +34,7 @@ jobs:
          sudo apt install wget libprotobuf-dev protobuf-compiler
          sudo apt update
          sudo apt install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc++1-9 libc++abi1-9
-          sudo add-apt-repository ppa:ignaciovizzo/opencv3-nonfree
          sudo apt install libopencv-dev
-          pkg-config --libs opencv
      - name: Install snpe
        run: |
          wget https://media.githubusercontent.com/media/tpoisonooo/mmdeploy_snpe_testdata/main/snpe-1.59.tar.gz
--- a/.github/workflows/backend-torchscript.yml
+++ b/.github/workflows/backend-torchscript.yml
@ -21,7 +21,7 @@ permissions:

 jobs:
  script_install:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    strategy:
      matrix:
        python-version: [3.7]
@ -31,9 +31,9 @@ jobs:
        with:
          submodules: 'recursive'
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install mmdeploy
        run: |
-          python3 tools/scripts/build_ubuntu_x64_torchscript.py
+          python3 tools/scripts/build_ubuntu_x64_torchscript.py 8
--- a/.github/workflows/backend-tvm.yml
+++ b/.github/workflows/backend-tvm.yml
@ -31,14 +31,14 @@ jobs:
        with:
          submodules: 'recursive'
      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install mmdeploy
        run: |
-          python3 tools/scripts/build_ubuntu_x64_tvm.py
-          source ~/mmdeploy.env
          python3 -m pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu
          python3 -m pip install mmcv-full==1.5.1  -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8.0/index.html
          python3 -m pip install decorator psutil scipy attrs tornado pytest
+          python3 tools/scripts/build_ubuntu_x64_tvm.py 8
+          source ~/mmdeploy.env
          python3 -c 'import mmdeploy.apis.tvm as tvm_api; assert tvm_api.is_available()'
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@ -25,7 +25,7 @@ permissions:

 jobs:
  build_cpu_model_convert:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    strategy:
      matrix:
        python-version: [3.7]
@ -39,9 +39,9 @@ jobs:
            torch_version: torch1.9
            torchvision: 0.10.0
    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: Install PyTorch
@ -63,7 +63,7 @@ jobs:
          coverage report -m

  build_cpu_sdk:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
@ -73,16 +73,18 @@ jobs:
        run: sudo apt update
      - name: gcc-multilib
        run: |
-          sudo apt install gcc-multilib g++-multilib wget libprotobuf-dev protobuf-compiler
          sudo apt update
-          sudo apt install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc++1-9 libc++abi1-9
-          sudo add-apt-repository ppa:ignaciovizzo/opencv3-nonfree
-          sudo apt install libopencv-dev lcov wget
-          pkg-config --libs opencv
+          sudo apt install libopencv-dev lcov wget -y
      - name: Build and run SDK unit test without backend
        run: |
          mkdir -p build && pushd build
-          cmake .. -DCMAKE_CXX_COMPILER=g++-7  -DMMDEPLOY_CODEBASES=all    -DMMDEPLOY_BUILD_SDK=ON     -DMMDEPLOY_BUILD_SDK_PYTHON_API=OFF     -DMMDEPLOY_TARGET_DEVICES=cpu   -DMMDEPLOY_COVERAGE=ON  -DMMDEPLOY_BUILD_TEST=ON
+          cmake .. \
+            -DMMDEPLOY_CODEBASES=all \
+            -DMMDEPLOY_BUILD_SDK=ON \
+            -DMMDEPLOY_BUILD_SDK_PYTHON_API=OFF \
+            -DMMDEPLOY_TARGET_DEVICES=cpu \
+            -DMMDEPLOY_COVERAGE=ON \
+            -DMMDEPLOY_BUILD_TEST=ON
          make -j2
          mkdir -p mmdeploy_test_resources/transform
          cp ../tests/data/tiger.jpeg mmdeploy_test_resources/transform/
@ -101,7 +103,7 @@ jobs:
      - name: update
        run: sudo apt update
      - name: Set up Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: 3.8
      - name: gcc-multilib
@ -109,14 +111,14 @@ jobs:
          sh -x tools/scripts/ubuntu_cross_build_aarch64.sh

  build_cuda102:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
    env:
      FORCE_CUDA: 1
    strategy:
      matrix:
-        python-version: [3.7]
+        python-version: [3.8]
        torch: [1.9.0+cu102]
        mmcv: [1.4.2]
        include:
@ -124,26 +126,19 @@ jobs:
            torch_version: torch1.9
            torchvision: 0.10.0+cu102
    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
+      - uses: actions/checkout@v3
      - name: Install system dependencies
        run: |
          apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
-          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev python${{matrix.python-version}}-dev
-          apt-get clean
-          rm -rf /var/lib/apt/lists/*
+          apt-get update && apt-get install -y git
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install dependencies
        run: |
          python -V
+          python -m pip install -U pip
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cu102/${{matrix.torch_version}}/index.html
-          CFLAGS=`python -c 'import sysconfig;print("-I"+sysconfig.get_paths()["include"])'` python -m pip install -r requirements.txt
-          pip install -U pycuda
-          python -m pip install -U numpy
+          python -m pip install -r requirements.txt
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
@ -155,41 +150,30 @@ jobs:
          coverage report -m

  build_cuda111:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.8.0-cuda11.1-cudnn8-devel
-
    strategy:
      matrix:
-        python-version: [3.7]
+        python-version: [3.8]
        torch: [1.8.0+cu111]
        mmcv: [1.4.2]
        include:
          - torch: 1.8.0+cu111
            torch_version: torch1.8
            torchvision: 0.9.0+cu111
-
    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
+      - uses: actions/checkout@v3
      - name: Install system dependencies
        run: |
          apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
-          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev python${{matrix.python-version}}-dev
-          apt-get clean
-          rm -rf /var/lib/apt/lists/*
-      - name: Install PyTorch
-        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+          apt-get update && apt-get install -y git
      - name: Install dependencies
        run: |
          python -V
+          python -m pip install -U pip
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cu111/${{matrix.torch_version}}/index.html
-          CFLAGS=`python -c 'import sysconfig;print("-I"+sysconfig.get_paths()["include"])'` python -m pip install -r requirements.txt
-          pip install -U pycuda
-          python -m pip install -U numpy
+          python -m pip install -r requirements.txt
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
--- a/.github/workflows/java_api.yml
+++ b/.github/workflows/java_api.yml
@ -19,14 +19,14 @@ permissions:

 jobs:
  test_java_api:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: Set up Python 3.7
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: 3.7
      - name: Install unittest dependencies
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@ -7,11 +7,11 @@ permissions:

 jobs:
  lint:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
      - name: Set up Python 3.7
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: 3.7
      - name: Install pre-commit hook
--- a/.github/workflows/quantize.yml
+++ b/.github/workflows/quantize.yml
@ -21,7 +21,7 @@ permissions:

 jobs:
  test_ncnn_PTQ:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.8.0-cuda11.1-cudnn8-devel

@ -36,26 +36,17 @@ jobs:
            torchvision: 0.9.0+cu111

    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
+      - uses: actions/checkout@v3
      - name: Install system dependencies
        run: |
          apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
-          apt-get update && apt-get install -y wget ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev python${{matrix.python-version}}-dev
-          apt-get clean
-          rm -rf /var/lib/apt/lists/*
-      - name: Install PyTorch
-        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+          apt-get update && apt-get install -y git
      - name: Install dependencies
        run: |
          python -V
+          python -m pip install -U pip
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cu111/${{matrix.torch_version}}/index.html
-          CFLAGS=`python -c 'import sysconfig;print("-I"+sysconfig.get_paths()["include"])'` python -m pip install -r requirements.txt
-          python -m pip install -U numpy
-
+          python -m pip install -r requirements.txt
      - name: Install mmcls
        run: |
          cd ~
--- a/.github/workflows/rust_api.yml
+++ b/.github/workflows/rust_api.yml
@ -19,7 +19,7 @@ permissions:

 jobs:
  test_rust_api:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
@ -27,7 +27,7 @@ jobs:
          submodules: 'recursive'

      - name: Set up Python 3.7
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
        with:
          python-version: 3.7
      - name: Install latest nightly Rust
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@ -5,7 +5,7 @@ endif ()
 message(STATUS "CMAKE_INSTALL_PREFIX: ${CMAKE_INSTALL_PREFIX}")

 cmake_minimum_required(VERSION 3.14)
-project(MMDeploy VERSION 0.13.0)
+project(MMDeploy VERSION 0.14.0)

 set(CMAKE_CXX_STANDARD 17)

--- a/README.md
+++ b/README.md
@ -30,7 +30,8 @@ English | [简体中文](README_zh-CN.md)

 ## Highlights

-The new v1 version has been released, which is adapted to the preview version of upstream codebase, please **align the version** when using it.
+The MMDeploy 1.x has been released, which is adapted to upstream codebases from OpenMMLab 2.0. Please **align the version** when using it.
+The default branch has been switched to `main` from `master`. MMDeploy 0.x (`master`) will be deprecated and new features will only be added to MMDeploy 1.x (`main`) in future.

 | mmdeploy | mmengine |   mmcv   |  mmdet   | others |
 | :------: | :------: | :------: | :------: | :----: |
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@ -28,9 +28,10 @@

 [English](README.md) | 简体中文

-## 1.x 预览版本
+## MMDeploy 1.x 版本

-全新的 v1 版本已发布，针对上游算法预览版做适配，使用时务必**对齐版本**。
+全新的 MMDeploy 1.x 已发布，该版本适配OpenMMLab 2.0生态体系，使用时务必**对齐版本**。
+MMDeploy 代码库默认分支从`master`切换至`main`。 MMDeploy 0.x (`master`)将逐步废弃，新特性将只添加到 MMDeploy 1.x (`main`)。

 | mmdeploy | mmengine |   mmcv   |  mmdet   | mmcls and others |
 | :------: | :------: | :------: | :------: | :--------------: |
--- a/demo/csharp/image_classification/image_classification.csproj
+++ b/demo/csharp/image_classification/image_classification.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.Extensions" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
--- a/demo/csharp/image_restorer/image_restorer.csproj
+++ b/demo/csharp/image_restorer/image_restorer.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/demo/csharp/image_segmentation/image_segmentation.csproj
+++ b/demo/csharp/image_segmentation/image_segmentation.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/demo/csharp/object_detection/object_detection.csproj
+++ b/demo/csharp/object_detection/object_detection.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/demo/csharp/ocr_detection/ocr_detection.csproj
+++ b/demo/csharp/ocr_detection/ocr_detection.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/demo/csharp/ocr_recognition/ocr_recognition.csproj
+++ b/demo/csharp/ocr_recognition/ocr_recognition.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/demo/csharp/pose_detection/pose_detection.csproj
+++ b/demo/csharp/pose_detection/pose_detection.csproj
@ -14,7 +14,7 @@
  </PropertyGroup>

  <ItemGroup>
-    <PackageReference Include="MMDeployCSharp" Version="0.13.0" />
+    <PackageReference Include="MMDeployCSharp" Version="0.14.0" />
    <PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
  </ItemGroup>
--- a/docs/en/02-how-to-run/prebuilt_package_windows.md
+++ b/docs/en/02-how-to-run/prebuilt_package_windows.md
@ -21,7 +21,7 @@

 ______________________________________________________________________

-This tutorial takes `mmdeploy-0.13.0-windows-amd64.zip` and `mmdeploy-0.13.0-windows-amd64-cuda11.3.zip` as examples to show how to use the prebuilt packages. The former supports onnxruntime cpu inference, the latter supports onnxruntime-gpu and tensorrt inference.
+This tutorial takes `mmdeploy-0.14.0-windows-amd64.zip` and `mmdeploy-0.14.0-windows-amd64-cuda11.3.zip` as examples to show how to use the prebuilt packages. The former supports onnxruntime cpu inference, the latter supports onnxruntime-gpu and tensorrt inference.

 The directory structure of the prebuilt package is as follows, where the `dist` folder is about model converter, and the `sdk` folder is related to model inference.

@ -81,8 +81,8 @@ In order to use `ONNX Runtime` backend, you should also do the following steps.
 5. Install `mmdeploy` (Model Converter) and `mmdeploy_runtime` (SDK Python API).

   ```bash
-   pip install mmdeploy==0.13.0
-   pip install mmdeploy-runtime==0.13.0
+   pip install mmdeploy==0.14.0
+   pip install mmdeploy-runtime==0.14.0
   ```

   :point_right: If you have installed it before, please uninstall it first.
@ -100,7 +100,7 @@ In order to use `ONNX Runtime` backend, you should also do the following steps.
   ![sys-path](https://user-images.githubusercontent.com/16019484/181463801-1d7814a8-b256-46e9-86f2-c08de0bc150b.png)
   :exclamation: Restart powershell to make the environment variables setting take effect. You can check whether the settings are in effect by `echo $env:PATH`.

-8. Download SDK C/cpp Library mmdeploy-0.13.0-windows-amd64.zip
+8. Download SDK C/cpp Library mmdeploy-0.14.0-windows-amd64.zip

 ### TensorRT

@ -109,8 +109,8 @@ In order to use `TensorRT` backend, you should also do the following steps.
 5. Install `mmdeploy` (Model Converter) and `mmdeploy_runtime` (SDK Python API).

   ```bash
-   pip install mmdeploy==0.13.0
-   pip install mmdeploy-runtime-gpu==0.13.0
+   pip install mmdeploy==0.14.0
+   pip install mmdeploy-runtime-gpu==0.14.0
   ```

   :point_right: If you have installed it before, please uninstall it first.
@ -129,7 +129,7 @@ In order to use `TensorRT` backend, you should also do the following steps.

 7. Install pycuda by `pip install pycuda`

-8. Download SDK C/cpp Library mmdeploy-0.13.0-windows-amd64-cuda11.3.zip
+8. Download SDK C/cpp Library mmdeploy-0.14.0-windows-amd64-cuda11.3.zip

 ## Model Convert

@ -141,7 +141,7 @@ After preparation work, the structure of the current working directory should be

 ```
 ..
-|-- mmdeploy-0.13.0-windows-amd64
+|-- mmdeploy-0.14.0-windows-amd64
 |-- mmclassification
 |-- mmdeploy
 `-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -189,7 +189,7 @@ After installation of mmdeploy-tensorrt prebuilt package, the structure of the c

 ```
 ..
-|-- mmdeploy-0.13.0-windows-amd64-cuda11.3
+|-- mmdeploy-0.14.0-windows-amd64-cuda11.3
 |-- mmclassification
 |-- mmdeploy
 `-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -252,8 +252,8 @@ The structure of current working directory：

 ```
 .
-|-- mmdeploy-0.13.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
-|-- mmdeploy-0.13.0-windows-amd64-onnxruntime1.8.1
+|-- mmdeploy-0.14.0-windows-amd64
+|-- mmdeploy-0.14.0-windows-amd64-cuda11.3
 |-- mmclassification
 |-- mmdeploy
 |-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -324,7 +324,7 @@ The following describes how to use the SDK's C API for inference

   It is recommended to use `CMD` here.

-   Under `mmdeploy-0.13.0-windows-amd64\\example\\cpp\\build\\Release` directory：
+   Under `mmdeploy-0.14.0-windows-amd64\\example\\cpp\\build\\Release` directory：

   ```
   .\image_classification.exe cpu C:\workspace\work_dir\onnx\resnet\ C:\workspace\mmclassification\demo\demo.JPEG
@ -344,7 +344,7 @@ The following describes how to use the SDK's C API for inference

   It is recommended to use `CMD` here.

-   Under `mmdeploy-0.13.0-windows-amd64-cuda11.3\\example\\cpp\\build\\Release` directory
+   Under `mmdeploy-0.14.0-windows-amd64-cuda11.3\\example\\cpp\\build\\Release` directory

   ```
   .\image_classification.exe cuda C:\workspace\work_dir\trt\resnet C:\workspace\mmclassification\demo\demo.JPEG
--- a/docs/en/get_started.md
+++ b/docs/en/get_started.md
@ -117,14 +117,14 @@ Take the latest precompiled package as example, you can install it as follows:

 ```shell
 # 1. install MMDeploy model converter
-pip install mmdeploy==0.13.0
+pip install mmdeploy==0.14.0

 # 2. install MMDeploy sdk inference
 # you can install one to install according whether you need gpu inference
 # 2.1 support onnxruntime
-pip install mmdeploy-runtime==0.13.0
+pip install mmdeploy-runtime==0.14.0
 # 2.2 support onnxruntime-gpu, tensorrt
-pip install mmdeploy-runtime-gpu==0.13.0
+pip install mmdeploy-runtime-gpu==0.14.0

 # 3. install inference engine
 # 3.1 install TensorRT
@ -229,9 +229,9 @@ result = inference_model(
 You can directly run MMDeploy demo programs in the precompiled package to get inference results.

 ```shell
-wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.13.0/mmdeploy-0.13.0-linux-x86_64-cuda11.3.tar.gz
-tar xf mmdeploy-0.13.0-linux-x86_64-cuda11.3
-cd mmdeploy-0.13.0-linux-x86_64-cuda11.3
+wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.14.0/mmdeploy-0.14.0-linux-x86_64-cuda11.3.tar.gz
+tar xf mmdeploy-0.14.0-linux-x86_64-cuda11.3
+cd mmdeploy-0.14.0-linux-x86_64-cuda11.3
 # run python demo
 python example/python/object_detection.py cuda ../mmdeploy_model/faster-rcnn ../mmdetection/demo/demo.jpg
 # run C/C++ demo
--- a/docs/zh_cn/02-how-to-run/prebuilt_package_windows.md
+++ b/docs/zh_cn/02-how-to-run/prebuilt_package_windows.md
@ -23,7 +23,7 @@ ______________________________________________________________________

 目前，`MMDeploy`在`Windows`平台下提供`cpu`以及`cuda`两种Device的预编译包，其中`cpu`版支持使用onnxruntime cpu进行推理，`cuda`版支持使用onnxruntime-gpu以及tensorrt进行推理，可以从[Releases](https://github.com/open-mmlab/mmdeploy/releases)获取。。

-本篇教程以`mmdeploy-0.13.0-windows-amd64.zip`和`mmdeploy-0.13.0-windows-amd64-cuda11.3.zip`为例，展示预编译包的使用方法。
+本篇教程以`mmdeploy-0.14.0-windows-amd64.zip`和`mmdeploy-0.14.0-windows-amd64-cuda11.3.zip`为例，展示预编译包的使用方法。

 为了方便使用者快速上手，本教程以分类模型(mmclassification)为例，展示两种预编译包的使用方法。

@ -89,8 +89,8 @@ ______________________________________________________________________
 5. 安装`mmdeploy`（模型转换）以及`mmdeploy_runtime`（模型推理Python API）的预编译包

   ```bash
-   pip install mmdeploy==0.13.0
-   pip install mmdeploy-runtime==0.13.0
+   pip install mmdeploy==0.14.0
+   pip install mmdeploy-runtime==0.14.0
   ```

   :point_right: 如果之前安装过，需要先卸载后再安装。
@ -108,7 +108,7 @@ ______________________________________________________________________
   ![sys-path](https://user-images.githubusercontent.com/16019484/181463801-1d7814a8-b256-46e9-86f2-c08de0bc150b.png)
   :exclamation: 重启powershell让环境变量生效，可以通过 echo $env:PATH 来检查是否设置成功。

-8. 下载 SDK C/cpp Library mmdeploy-0.13.0-windows-amd64.zip
+8. 下载 SDK C/cpp Library mmdeploy-0.14.0-windows-amd64.zip

 ### TensorRT

@ -117,8 +117,8 @@ ______________________________________________________________________
 5. 安装`mmdeploy`（模型转换）以及`mmdeploy_runtime`（模型推理Python API）的预编译包

   ```bash
-   pip install mmdeploy==0.13.0
-   pip install mmdeploy-runtime-gpu==0.13.0
+   pip install mmdeploy==0.14.0
+   pip install mmdeploy-runtime-gpu==0.14.0
   ```

   :point_right: 如果之前安装过，需要先卸载后再安装
@ -137,7 +137,7 @@ ______________________________________________________________________

 7. 安装pycuda `pip install pycuda`

-8. 下载 SDK C/cpp Library mmdeploy-0.13.0-windows-amd64-cuda11.3.zip
+8. 下载 SDK C/cpp Library mmdeploy-0.14.0-windows-amd64-cuda11.3.zip

 ## 模型转换

@ -149,7 +149,7 @@ ______________________________________________________________________

 ```
 ..
-|-- mmdeploy-0.13.0-windows-amd64
+|-- mmdeploy-0.14.0-windows-amd64
 |-- mmclassification
 |-- mmdeploy
 `-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -197,7 +197,7 @@ export2SDK(deploy_cfg, model_cfg, work_dir, pth=model_checkpoint, device=device)

 ```
 ..
-|-- mmdeploy-0.13.0-windows-amd64-cuda11.3
+|-- mmdeploy-0.14.0-windows-amd64-cuda11.3
 |-- mmclassification
 |-- mmdeploy
 `-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -260,8 +260,8 @@ export2SDK(deploy_cfg, model_cfg, work_dir, pth=model_checkpoint, device=device)

 ```
 .
-|-- mmdeploy-0.13.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
-|-- mmdeploy-0.13.0-windows-amd64-onnxruntime1.8.1
+|-- mmdeploy-0.14.0-windows-amd64
+|-- mmdeploy-0.14.0-windows-amd64-cuda11.3
 |-- mmclassification
 |-- mmdeploy
 |-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
@ -340,7 +340,7 @@ python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet

   这里建议使用cmd，这样如果exe运行时如果找不到相关的dll的话会有弹窗

-   在mmdeploy-0.13.0-windows-amd64-onnxruntime1.8.1\\example\\cpp\\build\\Release目录下：
+   在mmdeploy-0.14.0-windows-amd64\\example\\cpp\\build\\Release目录下：

   ```
   .\image_classification.exe cpu C:\workspace\work_dir\onnx\resnet\ C:\workspace\mmclassification\demo\demo.JPEG
@ -360,7 +360,7 @@ python .\mmdeploy\demo\python\image_classification.py cpu .\work_dir\onnx\resnet

   这里建议使用cmd，这样如果exe运行时如果找不到相关的dll的话会有弹窗

-   在mmdeploy-0.13.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\\example\\cpp\\build\\Release目录下：
+   在mmdeploy-0.14.0-windows-amd64-cuda11.3\\example\\cpp\\build\\Release目录下：

   ```
   .\image_classification.exe cuda C:\workspace\work_dir\trt\resnet C:\workspace\mmclassification\demo\demo.JPEG
--- a/docs/zh_cn/get_started.md
+++ b/docs/zh_cn/get_started.md
@ -113,14 +113,14 @@ mim install mmcv-full

 ```shell
 # 1. 安装 MMDeploy 模型转换工具（含trt/ort自定义算子）
-pip install mmdeploy==0.13.0
+pip install mmdeploy==0.14.0

 # 2. 安装 MMDeploy SDK推理工具
 # 根据是否需要GPU推理可任选其一进行下载安装
 # 2.1 支持 onnxruntime 推理
-pip install mmdeploy-runtime==0.13.0
+pip install mmdeploy-runtime==0.14.0
 # 2.2 支持 onnxruntime-gpu tensorrt 推理
-pip install mmdeploy-runtime-gpu==0.13.0
+pip install mmdeploy-runtime-gpu==0.14.0

 # 3. 安装推理引擎
 # 3.1 安装推理引擎 TensorRT
@ -223,10 +223,10 @@ result = inference_model(
 你可以直接运行预编译包中的 demo 程序，输入 SDK Model 和图像，进行推理，并查看推理结果。

 ```shell
-wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.13.0/mmdeploy-0.13.0-linux-x86_64-cuda11.3.tar.gz
-tar xf mmdeploy-0.13.0-linux-x86_64-cuda11.3
+wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.14.0/mmdeploy-0.14.0-linux-x86_64-cuda11.3.tar.gz
+tar xf mmdeploy-0.14.0-linux-x86_64-cuda11.3

-cd mmdeploy-0.13.0-linux-x86_64-cuda11.3
+cd mmdeploy-0.14.0-linux-x86_64-cuda11.3
 # 运行 python demo
 python example/python/object_detection.py cuda ../mmdeploy_model/faster-rcnn ../mmdetection/demo/demo.jpg
 # 运行 C/C++ demo
--- a/mmdeploy/version.py
+++ b/mmdeploy/version.py
@ -1,7 +1,7 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 from typing import Tuple

-__version__ = '0.13.0'
+__version__ = '0.14.0'
 short_version = __version__


--- a/requirements/codebases.txt
+++ b/requirements/codebases.txt
@ -1,7 +1,6 @@
 mmaction2<1.0.0
 mmcls>=0.21.0,<=0.22.1
 mmdet>=2.19.0,<=2.20.0
-mmdet3d<1.0.0
 mmedit<1.0.0
 mmocr>=0.3.0,<=0.4.1
 mmpose>=0.24.0,<=0.25.1
--- a/requirements/runtime.txt
+++ b/requirements/runtime.txt
@ -2,7 +2,7 @@ grpcio
 matplotlib
 multiprocess
 numpy
-onnx>=1.8.0
-protobuf<=3.20.2
+onnx>=1.13.0
+protobuf==3.20.2
 six
 terminaltables
--- a/resources/introduction.png
+++ b/resources/introduction.png
--- a/tools/package_tools/packaging/mmdeploy_runtime/version.py
+++ b/tools/package_tools/packaging/mmdeploy_runtime/version.py
@ -1,2 +1,2 @@
 # Copyright (c) OpenMMLab. All rights reserved.
-__version__ = '0.13.0'
+__version__ = '0.14.0'
--- a/tools/scripts/ubuntu_utils.py
+++ b/tools/scripts/ubuntu_utils.py
@ -29,8 +29,6 @@ def get_job(argv) -> int:
        nproc = cmd_result('nproc')
        if nproc is not None and len(nproc) > 0:
            job = max(int(nproc) - 2, 1)
-        else:
-            job = 1
    else:
        job = int(argv[1])
    return job