pieeatingninjas / winmlplayground Goto Github PK

Test out and add Inception V2 Model to the sample app

Test out and add Tiny YOLOv2 Model (object detection) to the sample app

Test out and add CaffeNet 1.2 Model to the sample app

Test out and add Inception V1 Model to the sample app

Move preprocessing logic to separate helper class, passing in shape, mean, std

Currently the View are exact copies of each other. Move the current controls to one UserControl which can be added on each separate view.

When an image exceeds the expected input dimensions, we need to automatically do a center crop on the image.

Currenlty the sample app only shows classification models, hence the 5 most likely classifications are shown.
Models like YOLO can identify multiple objects in a picture so these kinds of object detection models should be handled differently and the results need to visualized as well.

Adjust postprocessing of DenseNet as the probability doesn't seem to be OK. The classification itself seems to be good, but the probability pct not.

Currently a lot of code is being repeated in the ViewModels.
Move as much code as possible to a base ViewModel that when adding new models, as less work as possible should be done.

Test out and add MNIST Handwritten Digit Recognition Model to the sample app

Test out and add FER+ Emotion Recognition Model to the sample app