Metadata-Version: 2.1
Name: pyraymesh
Version: 0.1.4
Summary: A library for ray-mesh intersections on triangular meshes
Home-page: https://github.com/dwastberg/pyraymesh
Author-Email: =?utf-8?q?Dag_W=C3=A4stberg?= <dwastberg@gmail.com>
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Mathematics
Project-URL: Homepage, https://github.com/dwastberg/pyraymesh
Requires-Python: >=3.10
Requires-Dist: numpy
Description-Content-Type: text/markdown

# pyraymesh

## Description

`pyraymesh` is a Python library for performing ray intersection and occlusion
tests on 3D meshes using a Bounding Volume Hierarchy (BVH). The library uses
the C++ library [bvh](https://github.com/madmann91/bvh) for building the BVH and performing the intersection tests.

While this library is reasonably fast for simpler meshes (benchmarks coming soon), it is not as fast as Embree, espcially for larger and more complex meshes. However, it does not
have any dependencies on external libraries, and is thus easier to install and use.

## Installation

Install the package either by 

```sh
pip install pyraymesh
```

or cloning the repo and using pip:

```sh   
pip install .
```

Note that the package requires a C++ compiler to build the C++ extension.

## Usage

### Building the BVH

To build the BVH for a mesh:

```python
from pyraymesh import Mesh
import numpy as np

vertices = np.array([[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0]])
faces = np.array([[0, 1, 2], [2, 3, 0]])
mesh = Mesh(vertices, faces)
mesh.build("medium")
```

The `build` method takes a string argument that specifies the BVH build type, which can be one of the following:
"low", "medium" and "high". The build type determines the trade-off between build time and query time. For most cases
"medium" is almost always the right choice.

### Ray Intersection

To perform ray intersection tests:

```python
ray_origin = [[0.1, 0.2, 1], [0.2, 0.1, 1]]
ray_direction = [[0, 0, -1], [0, 0, 1]]
## or 
ray_origin = [[0.1, 0.2, 1], [0.2, 0.1, 1]]
ray_direction = [0, 0, -1]  # multiple rays with same direction
## or 
ray_origin = [0.1, 0.2, 1]
ray_direction = [[0, 0, -1], [0, 0, 1]]  # multiple rays with same origin

result = mesh.intersect(ray_origin, ray_direction, tnear=0, tfar=1000)
print(result.num_hits)
print(result.coords)
print(result.tri_ids)
print(result.distances)
```
If you set `tnear` to a value greater than 0, the intersection tests will ignore any intersections that are closer 
than `tnear`. Similarly, if you set `tfar` to a value less than infinity, the intersection tests will ignore any 
intersections that are farther than `tfar`.

### Reflections

If you want to get the reflection of the rays, add the `calculate_reflections = True` 
parameter to the `intersect` method:

```python
ray_origin = [[0.1, 0.2, 1], [0.2, 0.1, 1]]
ray_direction = [[0, 0, -1], [0, 0, 1]]
result = mesh.intersect(ray_origin, ray_direction, tnear=0, tfar=1000, calculate_reflections=True)
print(result.reflections)
```
results.reflections is a list  of noramlized vectors representing the directions of the 
reflection of the rays. Only do this if you need the reflections, as it will slow down the
intersection tests.



### Occlusion Test

If you just care about whether a ray is occluded or not (i.e., you don't care about
the intersection point) you can use the `occlusion` method which is faster than the
`intersect` method and just returns list of booleans.

```python
ray_origin = [[0.1, 0.2, 1], [0.2, 0.1, 1]]
ray_direction = [[0, 0, -1], [0, 0, 1]]
occluded = mesh.occlusion(ray_origin, ray_direction)
print(occluded)
```

## Testing

To run the tests:

```sh
pytest
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
