- Kaylan Burleigh
- Maurizio Pellegrino
- C.Al Rive
- W. Todd Doughty
- Dr. Sudeep Das (OpenTable)
Code and inspiration pulled from the following sources:
- Our mentor, Dr. Sudeep Das, https://github.com/datamusing/herokuFlaskBootstrapDeployed
- Mr. Miguel Grinberg, http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
- Mr. Miguel Molina, url='http://www.runnable.com/'
- Click on the 4 Links at the top to navigate around
- Click on "Show_Test_Data"
- This shows 1 of 200 images (selected randomly) from our Test Data Set. Both "HOG" and "Blob" classifiers were trained on the same 300 image Training Data Set.
- You select what you see in the image, hit the "analyze" button, and the HOG/Blob results are output.
- To keep doing this for new images, hit the "yes" button at bottom
- Click on "Upload_Local_Image"
- Upload an image from you computer, select what you see in the image, hit "analyze" button
- WAIT for ~ 10-20 sec, it runs the trained HOG and Blob classifiers on your image so takes a bit, then HOG and Blob results output, and additional info for how each classifier works
- Add text describing the project, how the classifiers work, about us, links to github, etc.
- Think of how turn into game. Maybe show histogram "live" of how many correct HOG classifier gets correct versus Blob classifier versus User
- CSS files to make it look awesome