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View Code? Open in Web Editor NEWLeverage OpenCV for real time object detection and path planning in robotic targeting system.
Leverage OpenCV for real time object detection and path planning in robotic targeting system.
=================== Building on desktop =================== -------- Building -------- Java 11 is required to build. Set your path and/or JAVA_HOME environment variable appropriately. 1) Run "./gradlew build" --------- Deploying --------- On the rPi web dashboard: 1) Make the rPi writable by selecting the "Writable" tab 2) In the rPi web dashboard Application tab, select the "Uploaded Java jar" option for Application 3) Click "Browse..." and select the "java-multiCameraServer-all.jar" file in your desktop project directory in the build/libs subdirectory 4) Click Save The application will be automatically started. Console output can be seen by enabling console output in the Vision Status tab. ======================= Building locally on rPi ======================= 1) Run "./gradlew build" 2) Run "./install.sh" (replaces /home/pi/runCamera) 3) Run "./runInteractive" in /home/pi or "sudo svc -t /service/camera" to restart service.
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