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Fix a broken link, fix the first set of build issues

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Fix some last-minute build issues
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Bradlee Speice 2012-07-18 12:33:25 -04:00
parent 13105e0f44
commit 7391d4648b
3 changed files with 37 additions and 6 deletions
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20
include/opencv1/libcvautomation/libcvautomation.h
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@ -81,7 +81,23 @@ typedef struct {
* I'm so glad you asked! I've provided a few reference programs - \c cva-match and \c cva-input - that can be used to demonstrate most of libcvautomation's capabilities. I've even provided a BASH wrapper to make it incredibly easy to use BASH with libcvautomation as well (requires that cva-match and cva-input are installed). Python bindings are on their way too. <br>
* Finally, if you want to know how to write your own application tests, please see \ref writing_app_tests for more information on that. I've provided code to give you a basic idea of how they work.
* \section questions Questions? Comments? Concerns?
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/cvautomation">my github repository</a>.*/
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/libcvautomation">my github repository</a>.*/
/** \page libcvautomation
* \author Bradlee Speice <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>
* \date 7/11/2012
* \section intro Introduction
* Welcome to Libcvautomation!
* Libcvautomation is a GUI automation and testing tool based on image recognition and response. This program was designed as a direct replacement for <a href="http://sikuli.org">Sikuli</a> and <a href="https://wiki.ubuntu.com/Xpresser">Xpresser</a>. I was having incredible difficulty getting either of these solutions to work - Sikuli would crash whenever I tried to take a screenshot, and Xpresser was both too new for our Prominent North American Enterprise Linux systems, but also didn't work or \c import correctly. I really liked the way each of these programs approached GUI automation, but they simply didn't work. Additionally, I wanted to create a simple solution - it does what you want it to, and that's it.
* \section how_it_works How Libcvautomation Works
* Libcvautomation represents two software products coming together - <a href="http://opencv.willowgarage.com/wiki/">OpenCV</a> and the <a href="http://www.x.org/docs/Xext/xtest.pdf">XTest extension</a> to the X11 server. OpenCV is used for image recognition, and XTest is used to actually drive the X server. You can dig into \ref libcvautomation-xtest.h to get an idea of what all this library is capable of. <br>
* Basically what happens is that for whenever you need to do image recognition, OpenCV is used to find the images, and XTest is used to generate any events needed. Libcvautomation is mostly a wrapper to integrate both of these products, but also adds some functions like matchSubImage_X11() that allow you to match an image against the X11 root window in place. This means no more <tt>'xwd | convert "<out_name>"'</tt>.
* \section main_using Using Libcvautomation And Writing Application Tests
* So how does one go about using libcvautomation? <br>
* I'm so glad you asked! I've provided a few reference programs - \c cva-match and \c cva-input - that can be used to demonstrate most of libcvautomation's capabilities. I've even provided a BASH wrapper to make it incredibly easy to use BASH with libcvautomation as well (requires that cva-match and cva-input are installed). Python bindings are on their way too. <br>
* Finally, if you want to know how to write your own application tests, please see \ref writing_app_tests for more information on that. I've provided code to give you a basic idea of how they work.
* \section questions Questions? Comments? Concerns?
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/libcvautomation">my github repository</a>.*/
/** \page writing_app_tests Writing Application Tests
* \author Bradlee Speice <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>
@ -255,7 +271,7 @@ typedef struct {
* </ul>
* <li>Set \c USE_SANE_TOLERANCE
* <ul>
* <li>This value implements a more sane way of setting the tolerance value - Where normally the tolerance ranges from \c INT_MIN to \c INT_MAX, the sane tolerance accepts values of 1 - 100 (\f$ 1 \approx 0 \f$, and \f$ 100 \approx \c INT_MAX \f$)
* <li>This value implements a more sane way of setting the tolerance value - Where normally the tolerance ranges from \c INT_MIN to \c INT_MAX, the sane tolerance accepts values of 1 - 100 (\f$ 1 \approx 0 \f$, and \f$ 100 \approx INT\_MAX \f$)
* <li>To enable sane tolerance, set: \code USE_SANE_TOLERANCE="<any_value>" \endcode
* <li>To disable sane tolerance (the default) set: \code USE_SANE_TOLERANCE="" \endcode
* <li>Set \c USE_CENTER

21
include/opencv2/libcvautomation/libcvautomation.h
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@ -30,7 +30,6 @@
#include <opencv2/highgui/highgui_c.h>
#include <opencv2/imgproc/imgproc_c.h>
/* X11 includes */
#include <X11/Xlib.h>
#include <X11/Xutil.h>
@ -84,7 +83,23 @@ typedef struct {
* I'm so glad you asked! I've provided a few reference programs - \c cva-match and \c cva-input - that can be used to demonstrate most of libcvautomation's capabilities. I've even provided a BASH wrapper to make it incredibly easy to use BASH with libcvautomation as well (requires that cva-match and cva-input are installed). Python bindings are on their way too. <br>
* Finally, if you want to know how to write your own application tests, please see \ref writing_app_tests for more information on that. I've provided code to give you a basic idea of how they work.
* \section questions Questions? Comments? Concerns?
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/cvautomation">my github repository</a>.*/
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/libcvautomation">my github repository</a>.*/
/** \page libcvautomation
* \author Bradlee Speice <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>
* \date 7/11/2012
* \section intro Introduction
* Welcome to Libcvautomation!
* Libcvautomation is a GUI automation and testing tool based on image recognition and response. This program was designed as a direct replacement for <a href="http://sikuli.org">Sikuli</a> and <a href="https://wiki.ubuntu.com/Xpresser">Xpresser</a>. I was having incredible difficulty getting either of these solutions to work - Sikuli would crash whenever I tried to take a screenshot, and Xpresser was both too new for our Prominent North American Enterprise Linux systems, but also didn't work or \c import correctly. I really liked the way each of these programs approached GUI automation, but they simply didn't work. Additionally, I wanted to create a simple solution - it does what you want it to, and that's it.
* \section how_it_works How Libcvautomation Works
* Libcvautomation represents two software products coming together - <a href="http://opencv.willowgarage.com/wiki/">OpenCV</a> and the <a href="http://www.x.org/docs/Xext/xtest.pdf">XTest extension</a> to the X11 server. OpenCV is used for image recognition, and XTest is used to actually drive the X server. You can dig into \ref libcvautomation-xtest.h to get an idea of what all this library is capable of. <br>
* Basically what happens is that for whenever you need to do image recognition, OpenCV is used to find the images, and XTest is used to generate any events needed. Libcvautomation is mostly a wrapper to integrate both of these products, but also adds some functions like matchSubImage_X11() that allow you to match an image against the X11 root window in place. This means no more <tt>'xwd | convert "<out_name>"'</tt>.
* \section main_using Using Libcvautomation And Writing Application Tests
* So how does one go about using libcvautomation? <br>
* I'm so glad you asked! I've provided a few reference programs - \c cva-match and \c cva-input - that can be used to demonstrate most of libcvautomation's capabilities. I've even provided a BASH wrapper to make it incredibly easy to use BASH with libcvautomation as well (requires that cva-match and cva-input are installed). Python bindings are on their way too. <br>
* Finally, if you want to know how to write your own application tests, please see \ref writing_app_tests for more information on that. I've provided code to give you a basic idea of how they work.
* \section questions Questions? Comments? Concerns?
* Please send any feedback to <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>. Pull requests can be submitted to <a href="https://github.com/DjBushido/libcvautomation">my github repository</a>.*/
/** \page writing_app_tests Writing Application Tests
* \author Bradlee Speice <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>>
@ -258,7 +273,7 @@ typedef struct {
* </ul>
* <li>Set \c USE_SANE_TOLERANCE
* <ul>
* <li>This value implements a more sane way of setting the tolerance value - Where normally the tolerance ranges from \c INT_MIN to \c INT_MAX, the sane tolerance accepts values of 1 - 100 (\f$ 1 \approx 0 \f$, and \f$ 100 \approx \c INT_MAX \f$)
* <li>This value implements a more sane way of setting the tolerance value - Where normally the tolerance ranges from \c INT_MIN to \c INT_MAX, the sane tolerance accepts values of 1 - 100 (\f$ 1 \approx 0 \f$, and \f$ 100 \approx INT\_MAX \f$)
* <li>To enable sane tolerance, set: \code USE_SANE_TOLERANCE="<any_value>" \endcode
* <li>To disable sane tolerance (the default) set: \code USE_SANE_TOLERANCE="" \endcode
* <li>Set \c USE_CENTER

2
libcvautomation/Makefile.am
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@ -8,7 +8,7 @@ AM_LIBS = -shared
#Lists the libraries to build
lib_LTLIBRARIES = libcvautomation.la
libcvautomation_la_SOURCES = libcvautomation-opencv.c libcvautomation-opencv.h libcvautomation-xlib.c libcvautomation-xlib.h libcvautomation.h libcvautomation-xtest.c libcvautomation-xtest.h
libcvautomation_la_SOURCES = libcvautomation-opencv.c libcvautomation-xlib.c libcvautomation-xtest.c
#libcvautomation_CFLAGS = -shared -I$(top_srcdir)/include -I$(top_srcdir)/libcvautomation -I$(top_srcdir)/include/libcvautomation
#Lists the headers to distribute