ManiFold

Overview

ManiFold, developed by SVECTOR, features cutting-edge AI models designed for high performance across diverse domains. It delivers scalability, efficiency, and state-of-the-art results. This document provides an in-depth guide on the capabilities of the ManiFold models and how to integrate them into your applications.

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3D Construction Demo (CAR)

3D Construction Demo (TV)

Installation

To get started, ensure your environment meets these requirements:

• Python Version: 3.8 or higher
• Dependencies:
  • torch
  • safetensors
  • numpy

Install the dependencies using:

pip install torch safetensors numpy

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Features

• State-of-the-Art Performance: Designed for efficiency and scalability.
• Flexible Integration: Compatible with modern machine learning frameworks.
• Versatile Applications: Suitable for tasks ranging from image analysis to advanced AI workflows.

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Example Use Cases

1. 3D Reconstruction: Generate sparse and dense 3D models with high accuracy.
2. Image Analysis: Leverage advanced image conditioning for enhanced visual processing.
3. AI Workflow Integration: Streamline AI tasks with robust model capabilities.

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Support

For assistance or inquiries, please contact us:

• Email: ai@svector.co.in
• Website: SVECTOR

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License

This project is licensed under the SVECTOR Proprietary License. Refer to the LICENSE file for more details.

license: cc-by-nc-3.0

Credits

• Developed by: SVECTOR

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Tagline: Empowering the Future with Intelligent Solutions.