added github workflow

.github/workflows/build.yml

@@ -0,0 +1,43 @@
+name: Build
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Version Tag'
+        required: false
+        default: '0.6.6'
+      publishReleases:
+        description: 'Publish to Releases'
+        required: false
+        default: 'true'
+
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-java@v2
+        with:
+          distribution: 'temurin'
+          java-version: '11'
+      - uses: gradle/gradle-build-action@v2
+
+      - name: Build Release Package
+        run: |
+          ./gradlew releaseProcessingLib --no-daemon
+      # upload dist
+      - name: Upload binaries to release
+        if: ${{ github.event.inputs.publishReleases == 'true' }}
+        uses: svenstaro/upload-release-action@v2
+        with:
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+          file: release/*
+          tag: "v${{ github.event.inputs.tag }}"
+          release_name: "Version ${{ github.event.inputs.tag }}"
+          body: "Prebuilt opencv-processing libs version ${{ github.event.inputs.tag }}."
+          overwrite: true
+          file_glob: true
+          prerelease: true

README.md

@@ -13,7 +13,7 @@ See the included examples below for an overview of what's possible and links to
 
 **[OpenCV for Processing reference](http://atduskgreg.github.io/opencv-processing/reference/)**
 
-OpenCV for Processing is based on the officially supported [OpenCV Java API](http://docs.opencv.org/java/), currently at version 4.4.0. In addition to using the wrapped functionality, you can import OpenCV modules and use any of its documented functions: [OpenCV javadocs](http://docs.opencv.org/java/). See the advanced examples (HistogramSkinDetection, DepthFromStereo, and Marker Detection) below for details. (This style of API was inspired by Kyle McDonald's [ofxCv addon](https://github.com/kylemcdonald/ofxCv) for OpenFrameworks.) 
+OpenCV for Processing is based on the officially supported [OpenCV Java API](http://docs.opencv.org/java/), currently at version 4.5.5. In addition to using the wrapped functionality, you can import OpenCV modules and use any of its documented functions: [OpenCV javadocs](http://docs.opencv.org/java/). See the advanced examples (HistogramSkinDetection, DepthFromStereo, and Marker Detection) below for details. (This style of API was inspired by Kyle McDonald's [ofxCv addon](https://github.com/kylemcdonald/ofxCv) for OpenFrameworks.) 
 
 Contributions welcome.
 

build.gradle

@@ -7,7 +7,6 @@ group 'gab.opencv'
 version '0.6.6'
 
 def javaCvVersion = '1.5.7'
-def outputName = 'opencv_processing'
 
 // We can set this on the command line too this way: -PjavacppPlatform=linux-x86_64,macosx-x86_64,windows-x86_64,etc
 ext {

gradle/wrapper/gradle-wrapper.properties

@@ -1,6 +1,5 @@
-#Tue Mar 21 22:37:42 CET 2017
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
-zipStoreBase=GRADLE_USER_HOME
-zipStorePath=wrapper/dists
 distributionUrl=https\://services.gradle.org/distributions/gradle-7.3.1-bin.zip
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists