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Welcome to the One-Shot Video Object Segmentation (OSVOS) repository! OSVOS is a project focused on the development and implementation of algorithms for performing one-shot video object segmentation tasks.

• Introduction
• Features
• Installation
• Usage
• Contributing
• License

The One-Shot Video Object Segmentation (OSVOS) project aims to provide a framework for segmenting objects in videos using one-shot learning techniques. It leverages deep learning models and computer vision algorithms to achieve accurate and efficient segmentation results.

• One-shot video object segmentation
• Integration with popular datasets
• Support for different deep learning architectures
• Evaluation metrics for assessing segmentation performance
• Visualization tools for analyzing segmentation results

To install the OSVOS project, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/gargmegham/OSVOS.git

2. Navigate to the project directory:

   cd OSVOS

3. Install the required dependencies:

   pip install -r requirements.txt

To use the OSVOS project, follow the instructions provided in the documentation.

We welcome contributions from the community to help improve and enhance the OSVOS project. Please refer to the contributing guidelines for detailed instructions on how to contribute.

The OSVOS project is licensed under the MIT License. See the LICENSE file for more information.