Update example README.txt files (#57)
* C++ libraries are now included in the downloaded zip * It's no longer necessary to override CXX
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deps/examples/cpp-multiCameraServer/README.txt
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29
deps/examples/cpp-multiCameraServer/README.txt
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@ -12,22 +12,33 @@ Building locally on rPi
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Building on desktop
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===================
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--------------
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One time setup
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--------------
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Install the Raspbian compiler [1] as well as GNU make.
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Install the Raspbian compiler [1] as well as GNU make [2].
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[1]: https://github.com/wpilibsuite/raspbian-toolchain/releases
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[2]: (windows) http://gnuwin32.sourceforge.net/packages/make.htm
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The lib and include directories from the Pi /usr/local/frc/ directory must
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be copied to the desktop machine. Edit the Makefile to change
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/usr/local/frc/lib and /usr/local/frc/include to the local desktop locations.
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--------
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Building
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--------
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1) Run "make CXX=arm-raspbian9-linux-gnueabihf-g++"
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2) Copy multiCameraServerExample and runCamera to /home/pi on the Pi
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3) On the Pi, run "./runInteractive" in /home/pi or
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"sudo svc -t /service/camera" to restart service.
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Run "make"
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---------
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Deploying
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---------
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On the rPi web dashboard:
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1) Make the rPi writable by selecting the "Writable" tab
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2) In the rPi web dashboard Application tab, select the
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"Uploaded C++ executable" option for Application
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3) Click "Browse..." and select the "multiCameraServerExample" executable in
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your desktop project directory
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4) Click Save
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The application will be automatically started. Console output can be seen by
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enabling console output in the Vision Status tab.
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47
deps/examples/java-multiCameraServer/README.txt
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47
deps/examples/java-multiCameraServer/README.txt
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@ -1,3 +1,29 @@
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===================
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Building on desktop
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===================
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--------
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Building
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--------
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1) Run "./gradlew build"
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---------
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Deploying
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---------
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On the rPi web dashboard:
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1) Make the rPi writable by selecting the "Writable" tab
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2) In the rPi web dashboard Application tab, select the "Uploaded Java jar"
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option for Application
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3) Click "Browse..." and select the "java-multiCameraServer-all.jar" file in
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your desktop project directory in the build/libs subdirectory
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4) Click Save
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The application will be automatically started. Console output can be seen by
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enabling console output in the Vision Status tab.
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=======================
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Building locally on rPi
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=======================
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@ -6,24 +32,3 @@ Building locally on rPi
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2) Run "./install.sh" (replaces /home/pi/runCamera)
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3) Run "./runInteractive" in /home/pi or "sudo svc -t /service/camera" to
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restart service.
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===================
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Building on desktop
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===================
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One time setup
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--------------
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Copy the .jar files from /home/pi/javalibs on the Pi to the source directory.
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Building
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--------
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1) Run "./gradlew build"
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2) Copy build/libs/java-multiCameraServer-all.jar and runCamera to /home/pi on
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the Pi. Note: the .jar filename may be different; if it is, either rename
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when copying to the Pi or edit runCamera to reflect the new jar name.
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3) On the Pi, run "./runInteractive" in /home/pi or
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"sudo svc -t /service/camera" to restart service.
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@ -1,17 +1,23 @@
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=======================
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Building locally on rPi
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=======================
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======================
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Deploying from desktop
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======================
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On the rPi web dashboard:
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1) Make the rPi writable by selecting the "Writable" tab
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2) In the rPi web dashboard Application tab, select the "Uploaded Python file"
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option for Application
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3) Click "Browse..." and select the "multiCameraServer.py" file in
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your desktop project directory
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4) Click Save
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The application will be automatically started. Console output can be seen by
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enabling console output in the Vision Status tab.
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========================
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Deploying locally on rPi
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========================
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1) Copy multiCameraServer.py and runCamera to /home/pi
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2) Run "./runInteractive" in /home/pi or "sudo svc -t /service/camera" to
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restart service.
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===================
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Building on desktop
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===================
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1) Copy multiCameraServer.py and runCamera to /home/pi on the Pi
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2) On the Pi, run "./runInteractive" in /home/pi or
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"sudo svc -t /service/camera" to restart service.
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