{"id":1388,"date":"2017-05-09T01:07:59","date_gmt":"2017-05-09T01:07:59","guid":{"rendered":"http:\/\/blogs.discovery.wisc.edu\/projects\/?p=1388"},"modified":"2017-05-09T04:13:54","modified_gmt":"2017-05-09T04:13:54","slug":"in-conclusion","status":"publish","type":"post","link":"https:\/\/blogs.discovery.wisc.edu\/projects\/2017\/05\/09\/in-conclusion\/","title":{"rendered":"In conclusion"},"content":{"rendered":"
1) Describe your final project. What have you accomplished over the course of the semester?<\/b><\/span><\/div>\n
\n

The goal of my final project was to create an IPD (inter-pupillary distance) calculator, i.e a program that detects and calculates the distance in millimeters between the two pupils of the subject \/ research participant. This is done through circle detection via Hough Circles, and some camera calibration (pixels to mm) through mouse input. I have accomplished this goal for the most part, with some non-major consistency issues.<\/p>\n

Other accomplishments were learning how to use the OpenCV library (and coding libraries in general), and the language Python. I came into this project with negligible knowledge of python and its syntax\/rules, and ending the semester I feel to have a much better grasp on the language. Finally, this was the first project that forced me to use and learn the command line, due to the nature of python.<\/p>\n<\/div>\n


\n2) Describe your overall feelings about the project. Are you happy, content, frustrated, etc with the results?<\/b><\/span>
\n<\/b><\/span><\/div>\n
I am content with the results, though frustrated with some inconsistency. Some methods I used and small algorithms I wrote work for some images and don’t work \/ work somewhat inaccurately for other images. Overall I am glad to have taken this opportunity to participate in research and feel that I have learned a lot, not only about Python\/OpenCV but about the Virtual Reality field in general.<\/div>\n
<\/div>\n
One particularly satisfying thing is overcoming my fears of not finishing the project. When I started it, everything seemed so intimidating as I wasn’t familiar with a lot of the tools I was using, so it was an uphill struggle.<\/div>\n

\n3) What were some of the largest hurdles you encountered over the semester and how did you approach these challenges.<\/b><\/span><\/b><\/div>\n
\n

As mentioned in answer 2 and in many of my blog posts, the biggest hurdle I encountered was inconsistent results. A temporary – although admittedly not great -solution I have used is to alter parameters in my methods used by image basis as needed.<\/p>\n

Other big hurdles were finding and understanding documentation and applying them to my project. Most OpenCV resources available were for C++, and the ones I found for Python were often for Python 2 rather than 3. Similarly I often encountered issues adjusting my code as a lot of online assistance I found was in Python 2.<\/p>\n

One scary hurdle involved having to urgently factory-reset my computer a few weeks ago after an onslaught of viruses and this forced me to reinstall OpenCV, numpy, PyCharm, and some other stuff. Fortunately, I had all my code backed up so none of that was lost.<\/p>\n<\/div>\n

<\/div>\n
4) If you had more time, what would you do next on your project?<\/b><\/span><\/div>\n
I would keep working on trying to make it more consistent and trying out other methods to detect circles. Since I had issues with blob detection and chessboard pattern detection, I would spend more time trying to figure out why these wouldn’t work for me and how to get them to work. I would clean up the code to make it more efficient, make it more user-friendly, generalize the program more, potentially add a webcam feature, and if I wanted to go above and beyond if I had more time I would try to create a GUI for the project.<\/div>\n","protected":false},"excerpt":{"rendered":"

1) Describe your final project. What have you accomplished over the course of the semester? The goal of my final project was to create an IPD (inter-pupillary distance) calculator, i.e a program that detects and calculates the distance in millimeters … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":196,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[35],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/posts\/1388"}],"collection":[{"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/users\/196"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/comments?post=1388"}],"version-history":[{"count":5,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/posts\/1388\/revisions"}],"predecessor-version":[{"id":1393,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/posts\/1388\/revisions\/1393"}],"wp:attachment":[{"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/media?parent=1388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/categories?post=1388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/projects\/wp-json\/wp\/v2\/tags?post=1388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}