vhad/torch-mesh-isect
1
0
Fork 0
mirror of https://github.com/gosticks/torch-mesh-isect.git synced 2025-10-16 11:55:35 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Vassilis Choutas 2019-06-11 12:20:29 +02:00 committed by GitHub
parent 1e1b52d81a
commit b08485c539
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 14 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
README.md
View File

@ -43,28 +43,29 @@ provide a conical distance field based loss for resolving the interpenetrations.
Before installing anything please make sure to set the environment variable
*$CUDA_SAMPLES_INC* to the path that contains the header `helper_math.h`.
To install the model simply you can:
1. To install from PyPi simply run:
```Shell
pip install torch-mesh-isect
```
2. To install the module and the rendering dependencies run:
```Shell
pip
install torch-mesh-isect[all]
```
3. Clone this repository and install it using the *setup.py* script:
To install the module you can:
1. Clone this repository and install it using the *setup.py* script:
```Shell
git clone https://github.com/vchoutas/torch-mesh-isect
python setup.py install
```
2. Install from PyPi the pre-compiled version for 1.1.0 and CUDA 10.0 simply run:
```Shell
pip install torch-mesh-isect
```
3. To install the module and the rendering dependencies run:
```Shell
pip
install torch-mesh-isect[all]
```
## Examples
* [Collision Detection](./examples/detect_and_plot_collisions.py): Given an
input mesh file, detect and plot all the collisions.
* [Body model Collision resolution](./examples/smpl_untangle.py): Resolve self
penetrations for a body model
* [Batch Collision resolution](./examples/batch_smpl_untangle.py): Same as the
second example, except that a batch of examples is processed simultaneously