HuguesTHOMAS / KPConv-PyTorch

Kernel Point Convolution implemented in PyTorch
MIT License
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Add Toronto3D dataset #227

Closed Yarroudh closed 1 year ago

Yarroudh commented 1 year ago

I've trained KPFCNN model on Toronto3D Mobile LiDAR dataset using XYZRGB-Intensity. The results are presented as follow:

Overall Accuracy: 94.7% mean Intersection-over-Union: 79% IoU of each class (ignored unclassified):

  1. Road: 96.6%
  2. Road markings: 61.7%
  3. Natural: 95.1%
  4. Building: 89.1%
  5. Utility line: 82.5%
  6. Pole: 78.4%
  7. Car: 87.1%
  8. Fence: 41.8%

For comparison, the results reported by WeikaiTan using coordinates only:

OA: 95.39% mIoU: 69.11%

image

I can also provide the pretrained model if needed.