{"id":320,"date":"2020-04-18T03:12:32","date_gmt":"2020-04-18T03:12:32","guid":{"rendered":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/?p=320"},"modified":"2020-04-18T20:15:00","modified_gmt":"2020-04-18T20:15:00","slug":"jerrys-status-update-for-04-18-week-10","status":"publish","type":"post","link":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/2020\/04\/18\/jerrys-status-update-for-04-18-week-10\/","title":{"rendered":"Jerry’s Status Update for 04\/18 (Week 10)"},"content":{"rendered":"

Progress<\/strong><\/h2>\n

This week, I kept working on getting the point to work with a 3×5 bin larger room. With the new dataset, the multitask model was getting 0.94 validation x accuracy and 0.95 validation y accuracy, but the results were not smooth when running it on a test video and panning the point around the room.<\/p>\n

So, I tried using a regression output rather than a categorical output, such that the model would be able to relate information about how close the bins are instead of treating the bins as independent. This gave a much smoother result, but still has issues in the panning video.<\/p>\n

\"\"<\/p>\n

To address the smoothness in the testing videos, I added additional data of moving my arm around while pointing to a bin. This adds noise to the data and lets the model learn that even though I am moving my arm, I am still pointing to a bin. This worked well when I tried it on pointing to one side of the room. I will continue to try this method to cover more parts of the room.<\/p>\n

I currently am manually evaluating the test videos, if I have time I will try to add labels to it so I can quantatitively test it.<\/p>\n

Deliverables next week<\/strong><\/h2>\n

Next week, I will have gotten the point to work on the entire room.<\/p>\n

Schedule<\/strong><\/h2>\n

On schedule.<\/p>\n","protected":false},"excerpt":{"rendered":"

Progress This week, I kept working on getting the point to work with a 3×5 bin larger room. With the new dataset, the multitask model was getting 0.94 validation x accuracy and 0.95 validation y accuracy, but the results were not smooth when running it on a test video and panning the point around the … <\/p>\n

Continue reading “Jerry’s Status Update for 04\/18 (Week 10)”<\/span><\/a><\/p>\n","protected":false},"author":307,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6,5],"tags":[11,10],"_links":{"self":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/posts\/320"}],"collection":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/users\/307"}],"replies":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/comments?post=320"}],"version-history":[{"count":3,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/posts\/320\/revisions"}],"predecessor-version":[{"id":328,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/posts\/320\/revisions\/328"}],"wp:attachment":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/media?parent=320"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/categories?post=320"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamf2\/wp-json\/wp\/v2\/tags?post=320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}