Image recognition by DNN and CNN
Simple Deep neural networks and Convolutional Neural Networks used to recognise 2D images of deformed objects generated with Houdini.
Few different representations of objects ware gathered to determinate which will work the best:
- Voxels
- Projection on plane (distance from plane surface)
- Projection on cylinder
- Projection on sphere
Visualisation of filters
To understand networks a little bit better I created a visualization of filters and activations:
It’s in /obj/visualize_filters of recreate_pivot_volume.hiplc
Testing
Test is in /obj/test of recreate_pivot_volume.hiplc
Colored lines on the right part of this screenshot represent orientations predicted by different networks.
