Merge pull request #165 from CVCUDA/feat/dlesage/v0.8.x

feat: adding code for release v0.8.0 of CV-CUDA

.github/workflows/codeql.yml

@@ -1,14 +1,3 @@
-# For most projects, this workflow file will not need changing; you simply need
-# to commit it to your repository.
-#
-# You may wish to alter this file to override the set of languages analyzed,
-# or to provide custom queries or build logic.
-#
-# ******** NOTE ********
-# We have attempted to detect the languages in your repository. Please check
-# the `language` matrix defined below to confirm you have the correct set of
-# supported CodeQL languages.
-#
 name: "CodeQL"
 
 on:
@@ -22,11 +11,11 @@ on:
 jobs:
   analyze:
     name: Analyze
-    runs-on: ${{ (matrix.language == 'c-cpp' && 'ubuntu-20.04-64core') || 'ubuntu-latest' }}
-    timeout-minutes: ${{ (matrix.language == 'swift' && 120) || 360 }}
+    runs-on: ubuntu-20.04-64core
+    timeout-minutes: 360
     permissions:
-      actions: read
-      contents: read
+      actions: write
+      contents: write
       security-events: write
 
     strategy:
@@ -36,27 +25,35 @@ jobs:
 
     steps:
     - name: Checkout repository
-      uses: actions/checkout@v3
+      uses: actions/checkout@v4
       with:
         lfs: true
         submodules: 'recursive'
 
     - if: matrix.language == 'c-cpp'
       name: Setup environment
       run: |
+        sudo apt update -y && sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
         sudo apt update -y && sudo apt install -y --no-install-recommends \
         git git-lfs gcc-11 g++-11 ninja-build ccache libgtest-dev libgmock-dev \
-        shellcheck curl doxygen python3 python3-pip python3-dev python3-distutils
+        shellcheck curl doxygen python3 python3-pip python3-dev python3-distutils \
+        texlive-latex-extra ghostscript graphviz \
+        && curl -L https://cmake.org/files/v3.20/cmake-3.20.1-linux-x86_64.tar.gz --output /tmp/cmake-3.20.1.tar.gz \
+        && tar -xzf /tmp/cmake-3.20.1.tar.gz -C /tmp/ && sudo cp -r /tmp/cmake-3.20.1-linux-x86_64/bin/ /usr/local/ \
+        && sudo cp -r /tmp/cmake-3.20.1-linux-x86_64/share/ /usr/local/ && sudo cp -r /tmp/cmake-3.20.1-linux-x86_64/doc/ /usr/local/ \
+        && rm -rf /tmp/cmake-3.20.1*
 
     - if: matrix.language == 'c-cpp'
       name: Install Python Dependencies
       run: |
-        python3 -m pip install sphinx-rtd-theme sphinx==4.5.0 breathe exhale \
-        recommonmark graphviz numpy==1.24.1
+        sudo apt update -y && sudo apt install -y --no-install-recommends \
+        python3 python3-pip python3-dev python3-distutils doxygen && sudo rm -rf /var/lib/apt/lists/* \
+        && python3 -m pip install sphinx-rtd-theme sphinx breathe exhale recommonmark graphviz \
+        && python3 -m pip install numpy==1.24.1 patchelf==0.17.2.1
 
     - if: matrix.language == 'c-cpp'
       name: Install CUDA Toolkit
-      uses: Jimver/[email protected].11
+      uses: Jimver/[email protected].15
       id: cuda-toolkit
       with:
         cuda: '11.7.1'
@@ -72,22 +69,44 @@ jobs:
           nvcc -V
 
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v2
+      uses: github/codeql-action/init@v3
       with:
         languages: ${{ matrix.language }}
         queries: +security-and-quality
 
     - if: matrix.language != 'c-cpp'
       name: Autobuild
-      uses: github/codeql-action/autobuild@v2
+      uses: github/codeql-action/autobuild@v3
 
     - if: matrix.language == 'c-cpp'
       name: Build CMake project
       run: |
         echo "Running CMake project build script"
-        ./ci/build.sh debug build "-DBUILD_SAMPLES=OFF -DBUILD_TESTS=OFF" $*
+        ./ci/build.sh debug build "-DBUILD_SAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_PYTHON=ON" $*
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v2
+      uses: github/codeql-action/analyze@v3
       with:
         category: "/language:${{matrix.language}}"
+
+    - if: matrix.language == 'c-cpp' && github.event_name == 'push'
+      name: Build Docs and Clean up Sphinx Build Directory
+      run: |
+        ./ci/build.sh debug build "-DBUILD_SAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_DOCS=ON -DBUILD_PYTHON=ON" $*
+        find build/docs/sphinx -name '*.doctree' -delete
+        find build/docs/sphinx -name '*.map' -delete
+        find build/docs/sphinx -name '*.pickle' -delete
+        find build/docs/sphinx -name '*.inv' -delete
+        find build/docs/sphinx -name '*.gz' -delete
+
+    - if: matrix.language == 'c-cpp' && github.event_name == 'push'
+      name: Create .nojekyll file
+      run: touch build/docs/sphinx/.nojekyll
+
+    - if: matrix.language == 'c-cpp' && github.event_name == 'push'
+      name: Deploy to GitHub Pages
+      uses: JamesIves/github-pages-deploy-action@v4
+      with:
+        folder: build/docs/sphinx
+        branch: gh-pages
+        clean: true

CMakeLists.txt

@@ -23,7 +23,7 @@ endif()
 
 project(cvcuda
         LANGUAGES C CXX
-        VERSION 0.7.0
+        VERSION 0.8.0
         DESCRIPTION "CUDA-accelerated Computer Vision algorithms"
 )
 

CONTRIBUTING.md

@@ -16,7 +16,7 @@
 
 # Contributing to CV-CUDA
 
-**As of release v0.7.0-beta, CV-CUDA is not accepting outside contribution.**
+**Currently, CV-CUDA is not accepting outside contributions.**
 
 Contributions to CV-CUDA fall into the following categories:
 
@@ -28,8 +28,8 @@ Contributions to CV-CUDA fall into the following categories:
 1. To propose a new feature, please file a new feature request
    [issue](https://github.com/CVCUDA/CV-CUDA/issues/new/choose). Describe the
    intended feature and discuss the design and implementation with the team and
-   community. NOTE: Currently, as of release v0.7.0-beta, CV-CUDA is not accepting
-   outside contribution.
+   community. NOTE: Currently, CV-CUDA is not accepting
+   outside contributions.
 1. To ask a general question, please sumbit a question
    [issue](https://github.com/CVCUDA/CV-CUDA/issues/new/choose). If you need
    more context on a particular issue, please ask in a comment.

DEVELOPER_GUIDE.md

@@ -80,6 +80,7 @@ CV-CUDA includes:
 | Reformat | Converts a planar image into non-planar and vice versa |
 | Remap | Maps pixels in an image with one projection to another projection in a new image. |
 | Resize | Changes the size and scale of an image |
+| ResizeCropConvertReformat | Performs fused Resize-Crop-Convert-Reformat sequence with optional channel reordering |
 | Rotate | Rotates a 2D array in multiples of 90 degrees |
 | SIFT | Identifies and describes features in images that are invariant to scale rotation and affine distortion. |
 | Thresholding | Chooses a global threshold value that is the same for all pixels across the image. |

README.md

@@ -18,7 +18,7 @@
 
 [![License](https://img.shields.io/badge/License-Apache_2.0-yellogreen.svg)](https://opensource.org/licenses/Apache-2.0)
 
-![Version](https://img.shields.io/badge/Version-v0.7.0--beta-blue)
+![Version](https://img.shields.io/badge/Version-v0.8.0--beta-blue)
 
 ![Platform](https://img.shields.io/badge/Platform-linux--64_%7C_win--64_wsl2%7C_aarch64-gray)
 
@@ -76,10 +76,10 @@ Choose the installation method that meets your environment needs.
 
 Download the appropriate .whl file for your computer architecture, Python and CUDA version from the release assets of current CV-CUDA release. Release information of all CV-CUDA releases can be found [here][CV-CUDA GitHub Releases]. Once downloaded, execute the `pip install` command to install the Python wheel. For example:
    ```shell
-   pip install cvcuda_<cu_ver>-0.7.0b0-cp<py_ver>-cp<py_ver>-linux_<arch>.whl
+   pip install cvcuda_<cu_ver>-<x.x.x>-cp<py_ver>-cp<py_ver>-linux_<arch>.whl
    ```
 
-where `<cu_ver>` is the desired CUDA version, `<py_ver>` is the desired Python version and `<arch>` is the desired architecture.
+where `<cu_ver>` is the desired CUDA version, `<x.x.x>` is the CV-CUDA release version, `<py_ver>` is the desired Python version and `<arch>` is the desired architecture.
 
 Please note that the Python wheels are standalone, they include both the C++/CUDA libraries and the Python bindings.
 
@@ -185,8 +185,8 @@ Install the dependencies required to  build the documentation:
 
 On Ubuntu, install the following packages using `apt` and `pip`:
 ```shell
-apt install -y doxygen graphviz python3 python3-pip
-python3 -m pip install sphinx==4.5.0 breathe exhale recommonmark graphviz sphinx-rtd-theme
+apt install -y doxygen graphviz python3 python3-pip sphinx
+python3 -m pip install breathe exhale recommonmark graphviz sphinx-rtd-theme
 ```
 
 Build the documentation:
@@ -249,7 +249,7 @@ pip install cvcuda_cu12-<x.x.x>-cp310-cp310-linux_x86_64.whl
 
 CV-CUDA is an open source project. As part of the Open Source Community, we are
 committed to the cycle of learning, improving, and updating that makes this
-community thrive. However, as of release v0.7.0-beta, CV-CUDA is not yet ready
+community thrive. However, CV-CUDA is not yet ready
 for external contributions.
 
 To understand the process for contributing the CV-CUDA, see our