KITS19 training and inference pipeline

(Note that code and this instruction are in draft state due to rush with the competition, to be refactored)

• setup SparseConvNet framework as described in [https://github.com/facebookresearch/SparseConvNet#setup]
• get train/val/test data for kits19 at [https://github.com/neheller/kits19] and put into corresponding root repo folders
• copy the code from this repo into SparseConvNet/examples/ScanNet/ folder:
  • convert.py - data format convert utils
  • data.py - config parameters for train and inference
  • infer.py - main for the inference code
  • unet.py - main for training code
  • validate.py - main for validation
  • visualize.py - main for exporting png images from the CT scan