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--- resources [2017/08/22 00:09] – wildes
+++ resources [2019/08/23 20:22] (current) – calden
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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.