BAICVRI/bellande_step_models_executables
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Ronaldson Bellande 2024-04-20 17:49:49 -04:00 committed by GitHub
parent 39d522d0c0
commit e7b75673f0
1 changed files with 9 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
README.md
View File

@ -3,18 +3,15 @@
**Temporarily Disabled** **Temporarily Disabled**
### Research Organization for Open-source/Semi-open-source API ### Research Organization for Open-source/Semi-open-source API
- The API documentation for the Bellande Step can be found on [Bellande Robotics & Sensors Research Innovation Center](https://robotics-sensors.github.io), a platform dedicated to open-source and semi-open-source APIs. - The API documentation for the Bellande Step Models can be found on [Bellande Robotics & Sensors Research Innovation Center](https://robotics-sensors.github.io), a platform dedicated to open-source and semi-open-source APIs.
### Model Downloads ### Model Downloads
- For downloading the Bellande Step Model, please visit [Bellande Artificial Intelligence & Computer Vision Research Innovation Center Website](https://artificial-intelligence-computer-vision.github.io) - For downloading the Bellande Step Models, please visit [Bellande Artificial Intelligence & Computer Vision Research Innovation Center Website](https://artificial-intelligence-computer-vision.github.io)
### API Documentation ### Models Information
- **2D Space**: Users can download the 2D model from [Hugging Face - Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://huggingface.co/Artificial-Intelligence-Computer-Vision) #### Open-Source Models to Download
- **3D Space**: Downloadable resources related to the 3D space dimension can be accessed from [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io). - **2D Space**: Users can download the 2D model from [Hugging Face - Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://huggingface.co/Artificial-Intelligence-Computer-Vision) with precision of 1 decimal.
- **4D Space**: Resources pertaining to the 4D space dimension can also be found on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io).
- **5D Space**: Similarly, resources for the 5D space dimension are available on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io).
- **6D Space**: Resources for the 6D space dimension can be found on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io). #### Close-Source Models to Download, visit research organization website to see how to obtain a Close-Source Model
- **7D Space**: Access resources related to the 7D space dimension from [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io). - **2D Space - 10D Space**: Downloadable resources related to the different dimension can be accessed from [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io) with precision of 10 decimal.
- **8D Space**: Resources for the 8D space dimension can be found on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io).
- **9D Space**: Resources for the 9D space dimension can be found on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io).
- **10D Space**: Resources for the 10D space dimension can be found on [Bellande Artificial Intelligence & Computer Vision Research Innovation Center](https://artificial-intelligence-computer-vision.github.io).