Merge pull request #149 from alicevision/dev/ci/add_actions

[ci] added github actions for CI

Author: fabiencastan

.github/workflows/continuous-integration.yml

@@ -0,0 +1,69 @@
+name: Continuous Integration
+
+on:
+  push:
+    branches:
+      - master
+      - develop
+    # Skip jobs when only documentation files are changed
+    paths-ignore:
+      - '**.md'
+      - '**.rst'
+      - 'docs/**'
+  pull_request:
+    paths-ignore:
+      - '**.md'
+      - '**.rst'
+      - 'docs/**'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        container: ["alicevision/popsift-deps:cuda10.2-ubuntu18.04", "alicevision/popsift-deps:cuda11.8.0-ubuntu20.04", "alicevision/popsift-deps:cuda12.1.0-ubuntu22.04"]
+        build_tpe: ["Release", "Debug"]
+        exclude:
+        # excludes debug on this one as it has a segmentation fault during the compilation (!)
+        - container: "alicevision/popsift-deps:cuda12.1.0-ubuntu22.04"
+          build_tpe: "Debug"
+
+    container:
+      image: ${{ matrix.container }}
+
+    env:
+      DEPS_INSTALL_DIR: /opt/
+      BUILD_TYPE: ${{ matrix.build_tpe }}
+      CTEST_OUTPUT_ON_FAILURE: 1
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: Prepare File Tree
+        run: |
+          mkdir ./build
+          mkdir ./build_as_3rdparty
+          mkdir ../popsift_install
+
+      - name: Configure CMake
+        working-directory: ./build
+        run: |
+          cmake .. \
+           -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
+           -DBUILD_SHARED_LIBS:BOOL=ON \
+           -DCMAKE_PREFIX_PATH="${DEPS_INSTALL_DIR}" \
+           -DPopSift_BUILD_DOCS:BOOL=OFF \
+           -DCMAKE_INSTALL_PREFIX:PATH=$PWD/../../popsift_install
+
+      - name: Build
+        working-directory: ./build
+        run: |
+          make -j$(nproc) install
+
+      - name: Build As Third Party
+        working-directory: ./build_as_3rdparty
+        run: |
+          cmake ../src/application \
+           -DBUILD_SHARED_LIBS:BOOL=ON \
+           -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
+           -DCMAKE_PREFIX_PATH:PATH="$PWD/../../popsift_install;${DEPS_INSTALL_DIR}"
+          make -j$(nproc)

Dockerfile_deps

@@ -7,7 +7,7 @@ LABEL maintainer="AliceVision Team [email protected]"
 # see https://hub.docker.com/r/nvidia/cuda/
 #
 # For example, to create a ubuntu 16.04 with cuda 8.0 for development, use
-# docker build --build-arg CUDA_TAG=8.0 --tag alicevision/popsift-deps:cuda${CUDA_TAG}-ubuntu${OS_TAG} .
+# docker build --build-arg CUDA_TAG=8.0 --tag alicevision/popsift-deps:cuda${CUDA_TAG}-ubuntu${OS_TAG} -f Dockerfile_deps .
 #
 # then execute with nvidia docker (https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0))
 # docker run -it --runtime=nvidia popsift_deps
@@ -32,12 +32,12 @@ RUN apt-get clean && apt-get update && apt-get install -y --no-install-recommend
         libboost-thread-dev \
  && rm -rf /var/lib/apt/lists/*
 
- # Manually install cmake
+# Manually install cmake
 WORKDIR /tmp/cmake
-ENV CMAKE_VERSION=3.17
+ENV CMAKE_VERSION=3.24
 ENV CMAKE_VERSION_FULL=${CMAKE_VERSION}.2
-RUN wget https://cmake.org/files/v3.17/cmake-${CMAKE_VERSION_FULL}.tar.gz && \
-    tar zxvf cmake-${CMAKE_VERSION_FULL}.tar.gz && \
+RUN wget https://cmake.org/files/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION_FULL}.tar.gz && \
+    tar zxf cmake-${CMAKE_VERSION_FULL}.tar.gz && \
     cd cmake-${CMAKE_VERSION_FULL} && \
     ./bootstrap --prefix=/usr/local  -- -DCMAKE_BUILD_TYPE:STRING=Release -DCMAKE_USE_OPENSSL:BOOL=ON && \
     make -j$(nproc) install && \

README.md

@@ -1,7 +1,8 @@
 
 # PopSift
 
-[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3728/badge)](https://bestpractices.coreinfrastructure.org/projects/3728)  [![Codacy Badge](https://api.codacy.com/project/badge/Grade/8b0f7a68bc0d4df2ac89c6e732917caa)](https://app.codacy.com/manual/alicevision/popsift?utm_source=github.com&utm_medium=referral&utm_content=alicevision/popsift&utm_campaign=Badge_Grade_Settings)
+[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3728/badge)](https://bestpractices.coreinfrastructure.org/projects/3728) 
+[![Codacy Badge](https://app.codacy.com/project/badge/Grade/64f9192b53df46b483e7cf5be7e2dddd)](https://app.codacy.com/gh/alicevision/popsift/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)
 
 PopSift is an open-source implementation of the SIFT algorithm in CUDA.
 PopSift tries to stick as closely as possible to David Lowe's famous paper [1], while extracting features from an image in real-time at least on an NVidia GTX 980 Ti GPU.
@@ -100,10 +101,12 @@ In particular, users can choose to generate results very similar to VLFeat or re
 We acknowledge that there is at least one SIFT implementation that is vastly faster, but it makes considerable sacrifices in terms of accuracy and compatibility.
 
 ## Continuous integration:
-- [![Build Status](https://travis-ci.org/alicevision/popsift.svg?branch=master)](https://travis-ci.org/alicevision/popsift) master branch.
-- [![Build Status](https://travis-ci.org/alicevision/popsift.svg?branch=develop)](https://travis-ci.org/alicevision/popsift) develop branch.
-- [![Build status](https://ci.appveyor.com/api/projects/status/rsm5269hs288c2ji/branch/develop?svg=true)](https://ci.appveyor.com/project/AliceVision/popsift/branch/develop)
-  develop branch.
+
+* ![Continuous Integration](https://github.com/alicevision/popsift/workflows/Continuous%20Integration/badge.svg?branch=master) master branch on Linux.
+
+* ![Continuous Integration](https://github.com/alicevision/popsift/workflows/Continuous%20Integration/badge.svg?branch=develop) develop branch on Linux.
+
+* [![Build status](https://ci.appveyor.com/api/projects/status/rsm5269hs288c2ji/branch/develop?svg=true)](https://ci.appveyor.com/project/AliceVision/popsift/branch/develop) develop branch on Windows.
 
 ## License