<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en" xmlns="http://www.w3.org/2005/Atom"><title>Recent changes to wiki</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/" rel="alternate"/><link href="https://sourceforge.net/p/gpuedgedetector/wiki/feed.atom" rel="self"/><id>https://sourceforge.net/p/gpuedgedetector/wiki/</id><updated>2013-06-23T22:40:00.191000Z</updated><subtitle>Recent changes to wiki</subtitle><entry><title>Introducing version 2.5.1 modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Introducing%2520version%25202.5.1/" rel="alternate"/><published>2013-06-23T22:40:00.191000Z</published><updated>2013-06-23T22:40:00.191000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.net5e24b2808aa3b3c2117d540d07b3541e32577706</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;p&gt;Changelogs:&lt;/p&gt;
&lt;p&gt;2.5.1:&lt;br /&gt;
-Fixed a bug that allowed the high threshold to be lower than the low threshold in Canny.&lt;/p&gt;
&lt;p&gt;2.5.0:&lt;br /&gt;
-Load any kind of known image types&lt;br /&gt;
-In addition to sigma and brightness, changing thresholds in canny is now possible&lt;br /&gt;
-Fixed a bug that prevented the sigma to affect on the final result&lt;br /&gt;
-vastly improved the performance (now 10x faster).&lt;br /&gt;
-Texture memory is used in some new functions to improve the performance&lt;br /&gt;
-Added a test mode&lt;br /&gt;
-Windows version now is more appealing (Some formatting tricks to dynamically show the variables in a fixed place)&lt;/p&gt;
&lt;p&gt;1.1.3:&lt;br /&gt;
-Added a Windows installer&lt;br /&gt;
-Fixed bugs&lt;/p&gt;&lt;/div&gt;</summary></entry><entry><title>Home modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-11T11:29:47.646000Z</published><updated>2013-05-11T11:29:47.646000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.net20e8eec97b69bc336dbace31978687817b24d965</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
@@ -4,15 +4,17 @@

 However, in overall, we think it is great for educational purposes out of the box, but needs a little tweaking in order to put it into more professional use. We have a plan to do so in future but don't wait for us, feel free to contribute.

-The binary includes on screen instructions on how to change the filter or change some variables. However, to change the input image, more effort is needed. To do so you have two options for now:
-
-1- You can find '"lena.pgm"' in 'EdgeFilter.cpp' and replace it with your own file path. Needless to say, it has to be in the same position as the lena.pgm is in the project directory or you can give the direct path to your image. Also it has to be in ".pgm" format for now. If your images are in other formats, there are some free online image converters that are capable of converting your image to pgm format and they work quite well (this doesn't justify our laziness, sorry).
-
-2- You can replace the original 'lena.pgm' with your own with the same name, if you don't want to change the code. The code will detect the right dimensions automatically. 
-
-Hopefully we will find a more convenient way to change the input image and import other formats.
+The binary includes on screen instructions on how to change the filter or change some variables. UPDATE: you can change the image on the go - see below. 

 Hope you enjoy the code.

+
+
+GPU Edge Detector 0.0.2
+
+-Now you can enter your own image with pressing 'v' on your keyboard.
+-Also who needs lena if you have a prettier one :D - just bring the binary file with you, no lena!
+-Two sample images are included
+
 [[members limit=20]]
 [[download_button]]
&lt;/pre&gt;
&lt;/div&gt;</summary></entry><entry><title>Discussion for Home page</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-11T11:27:12.955000Z</published><updated>2013-05-11T11:27:12.955000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.net3394d734d329a4c4e780f8187330debb0ee24de9</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;p&gt;GPU Edge Detector 0.0.2&lt;/p&gt;
&lt;p&gt;-Now you can enter your own image with pressing 'v' on your keyboard.&lt;br /&gt;
-Also who needs lena if you have a prettier one :D - just bring the binary file with you, no lena!&lt;br /&gt;
-Two sample images are included&lt;/p&gt;&lt;/div&gt;</summary></entry><entry><title>Home modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-09T20:09:20.605000Z</published><updated>2013-05-09T20:09:20.605000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.net6c95c4cf6203e953cb52f9cc9418e243f3abb1cd</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -1,16 +1,16 @@
 Welcome to GPU Edge Detector wiki.

-We hope you find the code useful. What we've tried to do here is to combine all known edge detection algorithms into one package. Also this uses the fastest method yet (as far as we know and only on NVIDIA graphic cards). Unfortunately, this implementation limits the use of this code to NVIDIA graphic card, we'd appreciate if you port it to openCl, in this way, users in other platforms would also enjoy using this app.
+We hope you find the code useful. What we've tried to do here is to combine all known edge detection algorithms into one package. Also this uses the fastest method yet (as far as we know and only on NVIDIA graphic cards). Unfortunately, this implementation limits the use of this code to NVIDIA graphic cards, we'd appreciate it if you port it to OpenCl, in this way, users in other platforms would also enjoy using this app.

-However, overall, we think it is great for educational purpose out of the box, but need a little tweaking in order to put it into more professional use. We have a plan to do so in future but don't wait for us, feel free to contribute.
+However, in overall, we think it is great for educational purposes out of the box, but needs a little tweaking in order to put it into more professional use. We have a plan to do so in future but don't wait for us, feel free to contribute.

-The binary includes on screen instructions on how to change the filter or change some variables. However to change the input image, there is more effort needed. To do so you have two options for now:
+The binary includes on screen instructions on how to change the filter or change some variables. However, to change the input image, more effort is needed. To do so you have two options for now:

-1- You can find '"lena.pgm"' in 'EdgeFilter.cpp' and replace it with your own file path. Needless to say, it has to be in the same position as the lena.pgm is in the project directory.
+1- You can find '"lena.pgm"' in 'EdgeFilter.cpp' and replace it with your own file path. Needless to say, it has to be in the same position as the lena.pgm is in the project directory or you can give the direct path to your image. Also it has to be in ".pgm" format for now. If your images are in other formats, there are some free online image converters that are capable of converting your image to pgm format and they work quite well (this doesn't justify our laziness, sorry).

-2- You can replace the original 'lena.pgm' with your own with the same name, if you don't want to change the code. The code will detect the right demensions automatically. 
+2- You can replace the original 'lena.pgm' with your own with the same name, if you don't want to change the code. The code will detect the right dimensions automatically. 

-Hopefully we will find a more convenient way to do this.
+Hopefully we will find a more convenient way to change the input image and import other formats.

 Hope you enjoy the code.

&lt;/pre&gt;
&lt;/div&gt;</summary></entry><entry><title>Home modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-09T20:03:26.442000Z</published><updated>2013-05-09T20:03:26.442000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.net22ed611c768b9235199053b501dcc03d62f62062</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -1,6 +1,6 @@
 Welcome to GPU Edge Detector wiki.

-We hope you find the code useful. What we've tried to do here is to combine all known edge detection algorithms and provide them into on package. Also this uses the fastest method yet (as far as we know and only on NVIDIA graphic cards). Unfortunately, this implementation limits the use of this code to NVIDIA graphic card, we'd appreciate if you port it to openCl, in this way, users in other platforms would also enjoy using this app.
+We hope you find the code useful. What we've tried to do here is to combine all known edge detection algorithms into one package. Also this uses the fastest method yet (as far as we know and only on NVIDIA graphic cards). Unfortunately, this implementation limits the use of this code to NVIDIA graphic card, we'd appreciate if you port it to openCl, in this way, users in other platforms would also enjoy using this app.

 However, overall, we think it is great for educational purpose out of the box, but need a little tweaking in order to put it into more professional use. We have a plan to do so in future but don't wait for us, feel free to contribute.

&lt;/pre&gt;
&lt;/div&gt;</summary></entry><entry><title>Home modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-09T18:46:32.135000Z</published><updated>2013-05-09T18:46:32.135000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.netf622ce995c879304d329263c6d7001b9044096e0</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1,8 +1,18 @@
-Welcome to your wiki!
+Welcome to GPU Edge Detector wiki.

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].
+We hope you find the code useful. What we've tried to do here is to combine all known edge detection algorithms and provide them into on package. Also this uses the fastest method yet (as far as we know and only on NVIDIA graphic cards). Unfortunately, this implementation limits the use of this code to NVIDIA graphic card, we'd appreciate if you port it to openCl, in this way, users in other platforms would also enjoy using this app.

-The wiki uses [Markdown](/p/gpuedgedetector/wiki/markdown_syntax/) syntax.
+However, overall, we think it is great for educational purpose out of the box, but need a little tweaking in order to put it into more professional use. We have a plan to do so in future but don't wait for us, feel free to contribute.
+
+The binary includes on screen instructions on how to change the filter or change some variables. However to change the input image, there is more effort needed. To do so you have two options for now:
+
+1- You can find '"lena.pgm"' in 'EdgeFilter.cpp' and replace it with your own file path. Needless to say, it has to be in the same position as the lena.pgm is in the project directory.
+
+2- You can replace the original 'lena.pgm' with your own with the same name, if you don't want to change the code. The code will detect the right demensions automatically. 
+
+Hopefully we will find a more convenient way to do this.
+
+Hope you enjoy the code.

 [[members limit=20]]
 [[download_button]]
&lt;/pre&gt;
&lt;/div&gt;</summary></entry><entry><title>Home modified by Soroosh Bateni</title><link href="https://sourceforge.net/p/gpuedgedetector/wiki/Home/" rel="alternate"/><published>2013-05-09T10:04:21.167000Z</published><updated>2013-05-09T10:04:21.167000Z</updated><author><name>Soroosh Bateni</name><uri>https://sourceforge.net/u/soroosh129/</uri></author><id>https://sourceforge.netc560bb2997ee4de0adb9b93e5a6e41d8fd413992</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;p&gt;Welcome to your wiki!&lt;/p&gt;
&lt;p&gt;This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: &lt;span&gt;[SamplePage]&lt;/span&gt;.&lt;/p&gt;
&lt;p&gt;The wiki uses &lt;a class="" href="/p/gpuedgedetector/wiki/markdown_syntax/"&gt;Markdown&lt;/a&gt; syntax.&lt;/p&gt;
&lt;p&gt;&lt;h6&gt;Project Members:&lt;/h6&gt;&lt;ul class="md-users-list"&gt;&lt;li&gt;&lt;a href="/u/soroosh129/"&gt;Soroosh Bateni&lt;/a&gt; (admin)&lt;/li&gt;&lt;/ul&gt;&lt;br /&gt;
&lt;p&gt;&lt;span class="download-button-518b74a324b0d95f732e40bc" style="margin-bottom: 1em; display: block;"&gt;&lt;/span&gt;&lt;/p&gt;&lt;/p&gt;&lt;/div&gt;</summary></entry></feed>