This repository contains a machine learning model that predicts the degree of interpolation between a cube and a sphere mesh. The convolutional neural network (CNN) model achieves an average error of ~0.066 when prediction sphere-cube interpolation in the range of [0, 1]
Images ranging from cube(0) to sphere(1)
0.0067 0.5024 0.9994
- spherecube-prediction.ipynb - CNN prediction model
- spherecube.blend - Blender model
- spherecube.blend.py - Blendtorch image generation
- sphercube.py - Creates dataset by launching multiple instances of spherecube.blend.py