Video-Subtitle-Extractor (VSE) is a powerful tool for extracting subtitles from videos in SRT format. This guide will take you through the steps to set up and use VSE effectively.

Getting Started

Before diving into the installation and usage, let’s make sure you know what you’ll need:

• Python 3.8 or higher
• Operating System: Windows, macOS, or Linux
• CUDA and cuDNN installed for GPU usage

Installation Steps

Follow these user-friendly instructions to install VSE:

1. Download Miniconda for your operating system:
   • Windows
   • MacOS
   • Linux
2. Open your command line interface and run:

   cd D:\tools\video-subtitle-extractor

3. Create and activate a new Conda environment with Python 3.8:

   conda create -n videoEnv python=3.8

   conda activate videoEnv

4. Install the required packages:

   pip install -r requirements.txt

Using VSE

VSE can be used in two ways: through a Graphical User Interface (GUI) or Command Line Interface (CLI). Choose whichever method suits you best.

Graphical User Interface (GUI)

• To run the GUI, use:

  python gui.py

Command Line Interface (CLI)

• To execute from the command line:

  python .\backend\main.py

Understanding the Code: An Analogy

Imagine you are a chef preparing a gourmet meal (your video). The ingredients (subtitles) need to be perfectly extracted and organized to create the best dish. In this analogy:

• The backendconfig.py file is your kitchen’s layout, organizing how everything comes together.
• The requirements.txt is the grocery list, ensuring you have all the necessary ingredients to create your dish.
• The environment you create with Conda is akin to preparing the meal prep area, ensuring everything you need is within reach.

Every step from setting up your kitchen to cooking the final dish is analogous to preparing your environment and using VSE effectively!

Troubleshooting

If you encounter issues during installation or usage, consider the following troubleshooting tips:

• Ensure that the correct version of Python and Conda is installed on your system.
• If you face OSError regarding the geos_c.dll, uninstall and reinstall Shapely with:

  pip uninstall Shapely -y

  conda install Shapely

• Make sure CUDA and cuDNN are properly set up according to your system’s GPU specifications.
• If using GPU, check that your drivers are up to date.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.