Depth Lab

Introduction

DepthLab is a project hosted on Hugging Face, developed by Johanan0528. The repository is designed for depth-related tasks, potentially including depth estimation and analysis.

Architecture

The architectural details of DepthLab have not been explicitly outlined in the provided document. The model may utilize neural networks or other machine learning techniques common in depth estimation tasks.

Training

The README or documentation does not provide specific information about the training process of DepthLab, such as datasets used, training epochs, or model performance metrics.

Guide: Running Locally

To run DepthLab locally, follow these general steps:

1. Clone the Repository: Use git clone https://huggingface.co/Johanan0528/DepthLab to clone the repository.
2. Install Dependencies: Ensure you have Python and necessary libraries installed, often listed in a requirements.txt file.
3. Run the Model: Execute the script or notebook provided, adjusting any parameters for your specific use case.

For improved performance, consider using cloud-based GPUs such as those offered by AWS, Google Cloud Platform, or Azure.

License

DepthLab is licensed under the Apache 2.0 License, allowing for both personal and commercial use with attribution.