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README.md

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+---
+language: en
+tags:
+  - point-cloud
+  - 3d-classification
+  - pytorch
+  - pointnet
+  - modelnet10
+license: mit
+---
+
+# Vanilla PointNet — ModelNet10 Classifier
+
+Simplified PointNet (no T-Nets) for 3D object classification on ModelNet10.
+
+## Architecture
+| Stage | Layers |
+|-------|--------|
+| Feature Extraction | Conv1d(3→64→128→1024) + BN + ReLU |
+| Global Aggregation | Global max-pool → 1024-d vector |
+| Classification     | FC(1024→512→256→10) + BN + Dropout |
+
+## Classes
+`bathtub · bed · chair · desk · dresser · monitor · night_stand · sofa · table · toilet`
+
+## Usage
+```python
+import torch
+from model import VanillaPointNet
+
+model = VanillaPointNet(num_classes=10)
+model.load_state_dict(torch.load("pytorch_model.bin", map_location="cpu"))
+model.eval()
+
+pts = torch.randn(1, 3, 1024)   # (B, 3, N)
+print(model(pts).argmax(1))
+```