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--- resources [2013/08/15 20:57] – wildes
+++ resources [2019/08/23 20:22] (current) – calden
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 A large number of websites contain information of relevance to this course, including the following.
-    * The [[http://www.eecs.yorku.ca/course_archive/2013-14/F/4422/home.html|4422/5323 Course Homepage]] provides information regarding matters particular to this course.
+    * The [[http://www.eecs.yorku.ca/course_archive/2017-18/F/4422/home.html|4422/5323 Course Homepage]] provides information regarding matters particular to this course.
-    * The [[http://www.cvr.yorku.ca|Center for Vision Research Homepage]] provides information about research in computer and biological vision that is done at York University (get involved)!
+    * The [[http://www.cvr.yorku.ca|Center for Vision Research Homepage]] provides information about research in computer and biological vision that is done at York University (get involved)!<html><!--    * The [[http://www.cs.cmu.edu/afs/cs/project/cil/www/vision.html|Computer Vision Homepage]] is a valuable resource for more general information regarding computer vision.--></html>
-    * The Computer Vision Homepage is a valuable resource for more general information regarding computer vision.
+    * The [[http://www.visionscience.com/|Vision Science Homepage]] provides more general information about biological vision.
-    * The Vision Science Homepage provides more general information about biological vision.
-http://www.eecs.yorku.ca/course_archive/2012-13/F/4422/home.html
 ==== Books ====
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     * IEEE International Conference on Image Processing
+==== Tools ====
+=== Programming ===
+The recommended programming languages for use in this course are Python or C++.
+  * [[https://opencv.org/|OpenCV]] provides a powerful open-source tool for computer vision development, and it is a good tool to gain experience with. There are many tutorials which can be found online showcasing the use of OpenCV.
+  * Note that although Jupyter Notebooks are popular tools with a lot of advantages, they are problematic for code release (see [[https://conferences.oreilly.com/jupyter/jup-ny/public/schedule/detail/68282|Joel Grus' slides]] on the topic). Any projects developed in Python should be available outside of Jupyter Notebooks.
+=== Writing ===
+It is recommended that written reports for this course be prepared in LaTeX, which is a commonly used documentation preparation system in computer science.
+  * For those new to LaTeX or who prefer a more graphical interface, [[https://www.lyx.org/|LyX]] can be a helpful and easy to use front-end.