# simple-knn

**Repository Path**: casually/simple-knn

## Basic Information

- **Project Name**: simple-knn
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-08
- **Last Updated**: 2025-04-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

simple-knn
---

Description: It compute the **average distance to the nearest neighbors** for a set of 3D points.

Install:
```bash
pip install git+https://github.com/camenduru/simple-knn

# or 
git clone https://github.com/camenduru/simple-knn && cd simple-knn
pip install .
```

Usage:
```python
from simple_knn._C import distCUDA2

# shape: [N, 3]
demopc = torch.from_numpy(np.load("/path")).float().cuda().contiguous() 

# shape: [N]
mean_distances = distCUDA2(demopc)
```