| Name | xatlas JSON |
| Version |
0.0.9
JSON |
| download |
| home_page | |
| Summary | Python bindings for xatlas |
| upload_time | 2024-02-11 20:40:22 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2021 Markus Worchel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
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No requirements were recorded.
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# Python bindings for xatlas
(Unofficial) Python bindings for [xatlas](https://github.com/jpcy/xatlas), a library that generates texture coordinates for triangle meshes.
## Installation
### From source
```bash
git clone --recursive https://github.com/mworchel/xatlas-python.git
pip install ./xatlas-python
```
### Using Pip
```bash
pip install xatlas
```
## Usage
### Parametrize a mesh and export it
```python
import trimesh
import xatlas
# We use trimesh (https://github.com/mikedh/trimesh) to load a mesh but you can use any library.
mesh = trimesh.load_mesh("input.obj")
# The parametrization potentially duplicates vertices.
# `vmapping` contains the original vertex index for each new vertex (shape N, type uint32).
# `indices` contains the vertex indices of the new triangles (shape Fx3, type uint32)
# `uvs` contains texture coordinates of the new vertices (shape Nx2, type float32)
vmapping, indices, uvs = xatlas.parametrize(mesh.vertices, mesh.faces)
# Trimesh needs a material to export uv coordinates and always creates a *.mtl file.
# Alternatively, we can use the `export` helper function to export the mesh as obj.
xatlas.export("output.obj", mesh.vertices[vmapping], indices, uvs)
# Both `xatlas.parametrize` and `xatlas.export` also accept vertex normals
```
### Parametrize multiple meshes using one atlas
```python
mesh1 = trimesh.load_mesh("input1.obj")
mesh2 = trimesh.load_mesh("input2.obj")
atlas = xatlas.Atlas()
atlas.add_mesh(mesh1.vertices, mesh1.faces)
atlas.add_mesh(mesh2.vertices, mesh2.faces)
# Optionally parametrize the generation with
# `xatlas.ChartOptions` and `xatlas.PackOptions`.
atlas.generate()
vmapping1, indices1, uvs1 = atlas[0]
vmapping2, indices2, uvs2 = atlas[1]
```
### Repack multiple parametrized meshes into one atlas
```python
vertices1, indices1, uvs1 = load_mesh_with_uvs("input1.obj")
vertices2, indices2, uvs2 = load_mesh_with_uvs("input2.obj")
atlas = xatlas.Atlas()
atlas.add_uv_mesh(uvs1, indices1)
atlas.add_uv_mesh(uvs2, indices2)
atlas.generate()
vmapping1, indices1, uvs1 = atlas[0]
vmapping2, indices2, uvs2 = atlas[1]
```
### Query the atlas
```python
atlas.mesh_count # Number of meshes
len(atlas) # Convenience binding for `atlas.mesh_count`
atlas.get_mesh(i) # Data for the i-th mesh
atlas[i] # Convenience binding for `atlas.get_mesh`
atlas.width # Width of the atlas
atlas.height # Height of the atlas
atlas.utilization # Utilization of the first atlas
atlas.get_utilization(i) # Utilization of i-th atlas
# The image requires passing custom PackOptions:
# pack_options = xatlas.PackOptions()
# pack_options.create_image = True
# atlas.generate(pack_options=pack_options)
atlas.chart_image # Debug image of the first atlas
atlas.get_chart_image(i) # Debug image of the i-th atlas
... # See xatlas documentation for all properties
```
## License
The xatlas Python bindings are provided under a MIT license. By using, distributing, or contributing to this project, you agree to the terms and conditions of this license.
## References
Test model taken from the [ABC dataset](https://deep-geometry.github.io/abc-dataset/)
Raw data
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"description": "# Python bindings for xatlas\n\n(Unofficial) Python bindings for [xatlas](https://github.com/jpcy/xatlas), a library that generates texture coordinates for triangle meshes.\n\n## Installation\n\n### From source\n\n```bash\ngit clone --recursive https://github.com/mworchel/xatlas-python.git\npip install ./xatlas-python\n```\n\n### Using Pip\n\n```bash\npip install xatlas\n```\n\n## Usage\n\n### Parametrize a mesh and export it\n\n```python\nimport trimesh\nimport xatlas\n\n# We use trimesh (https://github.com/mikedh/trimesh) to load a mesh but you can use any library.\nmesh = trimesh.load_mesh(\"input.obj\")\n\n# The parametrization potentially duplicates vertices.\n# `vmapping` contains the original vertex index for each new vertex (shape N, type uint32).\n# `indices` contains the vertex indices of the new triangles (shape Fx3, type uint32)\n# `uvs` contains texture coordinates of the new vertices (shape Nx2, type float32)\nvmapping, indices, uvs = xatlas.parametrize(mesh.vertices, mesh.faces)\n\n# Trimesh needs a material to export uv coordinates and always creates a *.mtl file.\n# Alternatively, we can use the `export` helper function to export the mesh as obj.\nxatlas.export(\"output.obj\", mesh.vertices[vmapping], indices, uvs)\n\n# Both `xatlas.parametrize` and `xatlas.export` also accept vertex normals\n```\n\n### Parametrize multiple meshes using one atlas\n\n```python\nmesh1 = trimesh.load_mesh(\"input1.obj\")\nmesh2 = trimesh.load_mesh(\"input2.obj\")\n\natlas = xatlas.Atlas()\n\natlas.add_mesh(mesh1.vertices, mesh1.faces)\natlas.add_mesh(mesh2.vertices, mesh2.faces)\n\n# Optionally parametrize the generation with\n# `xatlas.ChartOptions` and `xatlas.PackOptions`.\natlas.generate()\n\nvmapping1, indices1, uvs1 = atlas[0]\nvmapping2, indices2, uvs2 = atlas[1]\n```\n\n### Repack multiple parametrized meshes into one atlas\n\n```python\nvertices1, indices1, uvs1 = load_mesh_with_uvs(\"input1.obj\")\nvertices2, indices2, uvs2 = load_mesh_with_uvs(\"input2.obj\")\n\natlas = xatlas.Atlas()\n\natlas.add_uv_mesh(uvs1, indices1)\natlas.add_uv_mesh(uvs2, indices2)\n\natlas.generate()\n\nvmapping1, indices1, uvs1 = atlas[0]\nvmapping2, indices2, uvs2 = atlas[1]\n```\n\n### Query the atlas\n\n```python\natlas.mesh_count # Number of meshes\nlen(atlas) # Convenience binding for `atlas.mesh_count`\natlas.get_mesh(i) # Data for the i-th mesh\natlas[i] # Convenience binding for `atlas.get_mesh`\n\natlas.width # Width of the atlas \natlas.height # Height of the atlas\n\natlas.utilization # Utilization of the first atlas\natlas.get_utilization(i) # Utilization of i-th atlas\n\n# The image requires passing custom PackOptions:\n# pack_options = xatlas.PackOptions()\n# pack_options.create_image = True\n# atlas.generate(pack_options=pack_options)\natlas.chart_image # Debug image of the first atlas\natlas.get_chart_image(i) # Debug image of the i-th atlas\n\n... # See xatlas documentation for all properties\n```\n\n## License\n\nThe xatlas Python bindings are provided under a MIT license. By using, distributing, or contributing to this project, you agree to the terms and conditions of this license.\n\n## References\n\nTest model taken from the [ABC dataset](https://deep-geometry.github.io/abc-dataset/)\n",
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