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.
Not supported
This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:save
Input resolution:1x3x1024
Model size:13.2 MB
Applicable Scenarios
- Scenario detection
License
Model:APACHE-2.0
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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