Changes between Version 31 and Version 32 of VisionFramework

Timestamp:

Nov 25, 2017, 11:30:52 AM (7 years ago)

Author:

benjialbert

Comment:

--

VisionFramework

@@ -212 +212 @@
 * {{{Main_class = name of the class file with main method}}}
  * For example, where {{{Vision.class}}} is the class file, {{{Main_class = Vision}}}
+----
+----
+----
+=== C++ Projects with OpenCV ===
+'''NOTE: our performance doubled when we transitioned to C++ from Java'''
+
+Let's install an IDE so we do not have to keep writing in vi/vim/nano:
+{{{
+sudo apt-get install codeblocks
+}}}
+
+We experienced a bug that constantly crashed CodeBlocks:
+Navigate to: {{{Settings -> Editor -> Code completion -> Symbols browser}}} and check {{{Disable symbols browser}}}
+(the {{{Code completion}}} tab is on the west panel of the configure editor.)
+
+Navigate to: {{{File -> New -> Project -> Console Application}}}
+and fill in the fields that come up.
+
+If your {{{Management}}} tab is not visible, open it by selecting: {{{View -> Manager}}}
+Also, if your {{{Logs & others}}} tab is not open already, select {{{View -> Logs}}}
+
+Now right click your project in the {{{Management}}} tab and navigate to: {{{Build options... -> Linker settings}}}
+
+Under the {{{Link libraries}}} panel, select {{{Add}}} and select all OpenCV shared object (.so) files located in {{{/home/pi/opencv/build/lib/*.so}}}
+(You can [ctrl + left-click] multiple *.so] files to add them all at once)
+
+Now let's navigate to: {{{Search directories -> Linker}}}
+In the {{{Linker}}} tab, select {{{Add}}} and add the path to your opencv lib: {{{/home/pi/opencv/build/lib}}}
+
+===== Tricks and Tips =====
+Using OpenCV with the Raspberry Pi 3 ribbon cable camera is a little cumbersome because you cannot use many of the VideoCapture.set(char*,int) functions.[[BR]]
+Instead, we use system commands to set camera settings via the v4l2-ctl library.
+
+For FRC retroreflective tape segmentation, use the following system commands to prevent auto adjustment features such as {{{auto exposure}}}, {{{white balance}}}, and {{{exposure time}}}:
+* v4l2-ctl --set-ctrl=auto_exposure=1
+* v4l2-ctl --set-ctrl=white_balance_auto_preset=0
+* v4l2-ctl --set-ctrl=auto_exposure_bias=0
+* v4l2-ctl --set-ctrl=exposure_time_absolute=100
+
+Make your C++ program set these options by using the {{{stdlib.h}}} {{{system(char*)}}} command which simply takes a string command as input.