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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.

Model RepositoryHugging Face

Technical Details

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

Applicable Scenarios

  • Scenario detection

License

Model:APACHE-2.0

Supported Devices

  • Dragonwing IQ-9075 EVK
  • QCS8275 (Proxy)
  • QCS8450 (Proxy)
  • QCS8550 (Proxy)
  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • Samsung Galaxy S22 5G
  • Samsung Galaxy S22 Ultra 5G
  • Samsung Galaxy S22+ 5G
  • Samsung Galaxy S23
  • Samsung Galaxy S23 Ultra
  • Samsung Galaxy S23+
  • Samsung Galaxy S24
  • Samsung Galaxy S24 Ultra
  • Samsung Galaxy S24+
  • Samsung Galaxy S25
  • Samsung Galaxy S25 Ultra
  • Samsung Galaxy S25+
  • Samsung Galaxy Tab S8
  • Snapdragon 8 Elite Gen 5 QRD
  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD
  • Xiaomi 12
  • Xiaomi 12 Pro
  • XR2 Gen 2 (Proxy)

Supported Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075
  • Snapdragon® 8 Elite Mobile
  • Snapdragon® 8 Elite Gen 5 Mobile
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile
  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

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