sphinx-quickstart on Wed Nov 24 07:25:06 2021. You can adapt this file completely to your liking, but it should at least contain the root toctree directive.
This project was designed to adapt the work of Liu et al. and convert it to a mobile device which would allow for in-the-field processing of images and much faster response time and lower network requirements versus a computing cluster that would typically be utilized for these sorts of tasks. While working on this adaptation, we utilized two separate methods to ensure flexibility of classification: a local method powered entirely by the Android device for those phones with the computing capacity to spare, and a REST-based method designed to take advantage of existing networks and send the image back to a computer for offsite processing, storage, and evaluation. The following paper describes implementation, downloading and running instructions, screenshots, and finally comments/critiques.
./quickstart ./installation ./configuring ./development ./changelog
mscg/android/overview mscg/android/demo mscg/android/preprocessing mscg/android/models mscg/android/deployment
mscg/cli/overview mscg/cli/installation mscg/cli/usage
mscg/api/overview mscg/api/demo mscg/api/preprocessing mscg/api/models mscg/api/utilities
results/tables/2021 results/tables/2020