PointNet

Deep learning model for 3D object classification using point cloud data.

PointNet is a pioneering neural network architecture designed to directly consume unordered point cloud data for tasks such as classification and segmentation. It learns spatial features from raw 3D points without requiring voxelization or image projections.

Technical Details

Model checkpoint:save
Input resolution:1x3x1024
Model size:13.2 MB

Applicable Scenarios

  • Scenario detection

License

Supported IoT Devices

  • Dragonwing IQ-9075 EVK
  • QCS8275 (Proxy)
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075

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