Look who's talking!
Last week! This week Gauri worked on improving the conditions under which the classifier will work well by training the classifier on images with heads behind the hand gestures. However, this proved to reduce the overall accuracy of the classifier and did not provide the …
Last status report! I’m actually going to miss working on capstone 🙂
This week I worked on putting final touches on the animation such as making changes that we talked about last week and adding functionality for mode switches, text, arrows and more clarity to the visuals. After shrutika had worked on integration for a while I helped her debug the integration of the audio and visual input with the animation and we got manual mode working! We then got automatic mode working. Gauri, Shrutika and I worked on smoothing out the pipeline from input to animation with things such as frame rate and speed of animation screen update as well as trying a couple of things to speed up the process. We also made some more modifications to the animation to make it easier to use for new users. Finally, we are now working on creating our final video and report.
This week was finalizing everything and filming the video! Finalizing everything mainly involved making the overall control loop and connecting it to the animation, as though it was connected to an actual device/motors in this case. We had created all of the separate pieces in …
Last status report! This week we wrapped up all loose ends of our project and finished integrating it all! 🙂 We also worked on our final presentation slides, I prepared for the presentation since it was my turn this time. We think it went well. …
This week we finished all of the independent part of our projects, tested it, and worked on getting everything working to the requirements we had set for ourselves (like accuracy for the classifier, sound, …).
Right now we are working on our presentation, and this week all we have left is to integrate and make the demo video!
We finished our classifier this week (it works!!!) and tested it on the pi with the pi camera. We realized a lot of little things, like how much better the classifier works with a bright light on the person compared to a dim light. I …
We basically finished all the independent parts of our project this week! I worked on a few things: Our classifier had a 95%+ accuracy on just identifying left vs right. However, I realized earlier this week that it would classify everything it saw as left …
This week I worked on the animation that will be the output for our final project. The animation will represent how the actual device would have worked if the circumstances had allowed us to work with the motors, motor hats and 3D printers etc.
Working on the animation was more difficult than I expected initially as we have several layers that are part of our display as well as different modes and components to control. It has also been interesting to work on the animation because the expectations for it continue to change as I work on it more. I have been using photo editors, drawing software, as well as pygame to create a realistic simulation of our use case.
I hope to have a great visual aid to help people understand the use case and the output of our project!
This week we all continued to work on the areas of the project we began working on last week! I worked on collecting, labeling and organizing real images for the classifier. I tweaked some parameters for the classifier and ran it many times with different …