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Update example README.txt files (#57) 

* C++ libraries are now included in the downloaded zip

* It's no longer necessary to override CXX
pull/311/head
Peter Johnson 2019-01-11 13:21:20 -08:00 committed by GitHub
parent 47c38400d1
commit f0982f2f17
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3 changed files with 65 additions and 43 deletions
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29
deps/examples/cpp-multiCameraServer/README.txt vendored
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@ -12,22 +12,33 @@ Building locally on rPi
Building on desktop
===================
--------------
One time setup
--------------
Install the Raspbian compiler [1] as well as GNU make.
Install the Raspbian compiler [1] as well as GNU make [2].
[1]: https://github.com/wpilibsuite/raspbian-toolchain/releases
[2]: (windows) http://gnuwin32.sourceforge.net/packages/make.htm
The lib and include directories from the Pi /usr/local/frc/ directory must
be copied to the desktop machine. Edit the Makefile to change
/usr/local/frc/lib and /usr/local/frc/include to the local desktop locations.
--------
Building
--------
1) Run "make CXX=arm-raspbian9-linux-gnueabihf-g++"
2) Copy multiCameraServerExample and runCamera to /home/pi on the Pi
3) On the Pi, run "./runInteractive" in /home/pi or
"sudo svc -t /service/camera" to restart service.
Run "make"
---------
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 C++ executable" option for Application
3) Click "Browse..." and select the "multiCameraServerExample" executable in
your desktop project directory
4) Click Save
The application will be automatically started. Console output can be seen by
enabling console output in the Vision Status tab.

47
deps/examples/java-multiCameraServer/README.txt vendored
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@ -1,3 +1,29 @@
===================
Building on desktop
===================
--------
Building
--------
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
=======================
@ -6,24 +32,3 @@ Building locally on rPi
2) Run "./install.sh" (replaces /home/pi/runCamera)
3) Run "./runInteractive" in /home/pi or "sudo svc -t /service/camera" to
restart service.
===================
Building on desktop
===================
One time setup
--------------
Copy the .jar files from /home/pi/javalibs on the Pi to the source directory.
Building
--------
1) Run "./gradlew build"
2) Copy build/libs/java-multiCameraServer-all.jar and runCamera to /home/pi on
the Pi. Note: the .jar filename may be different; if it is, either rename
when copying to the Pi or edit runCamera to reflect the new jar name.
3) On the Pi, run "./runInteractive" in /home/pi or
"sudo svc -t /service/camera" to restart service.

32
deps/examples/python-multiCameraServer/README.txt vendored
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@ -1,17 +1,23 @@
=======================
Building locally on rPi
=======================
======================
Deploying from desktop
======================
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 Python file"
option for Application
3) Click "Browse..." and select the "multiCameraServer.py" file in
your desktop project directory
4) Click Save
The application will be automatically started. Console output can be seen by
enabling console output in the Vision Status tab.
========================
Deploying locally on rPi
========================
1) Copy multiCameraServer.py and runCamera to /home/pi
2) Run "./runInteractive" in /home/pi or "sudo svc -t /service/camera" to
restart service.
===================
Building on desktop
===================
1) Copy multiCameraServer.py and runCamera to /home/pi on the Pi
2) On the Pi, run "./runInteractive" in /home/pi or
"sudo svc -t /service/camera" to restart service.