This week we all started working on different components of the project, the web app, edge detection and looking at the datasets to start building the neural network. Work on the web app had some issues that set us back but the server is now accessible on our tablets which is progress. We’ve done some experimentation with the OpenCV api in Django but we have fully implemented it into the app yet. The app is a crucial part of our project so it is important to get right as it ties together our deep learning and computer vision work. We also still need to create a github repository for synchronization across the different modules we are working on.
The progress with the neural net and image processing are also coming along, at a pace where we will be able to test and debug them in sync. Currently, we still need to have a team meeting about the neural net architecture and design. The main points of contention or inquiry are about specific libraries, the high-level layering of the net, and input data formatting. We also want to look into physically testing the edge detection we are writing, so we are looking into methods or ideas for this. However, the edge detection is just to speed up our net’s learning speed so we aren’t stressing over creating test cases for it specifically.