
VividCut-AI
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VividCut-AI is a powerful tool for automating video editing processes with AI. It simplifies tasks such as video clipping, content extraction, and face tracking. The framework streamlines the video editing process using AI-driven techniques, extracts relevant segments based on user queries, automatically tracks and crops faces in videos, clips and processes video segments based on AI-identified content, and automates the video processing workflow. VividCut-AI utilizes technologies like Faiss for similarity search, Moviepy for video processing, OpenAI for content extraction, and YOLO for face tracking in videos.
README:
Follow the installation steps below for running VividCut-AI locally. Please read "installation-notes.md" for more details.
Here's a demonstration of VividCut-AI's capabilities:
These examples illustrate the transformation from a raw video segment to a fully processed clip, showcasing the power of VividCut-AI.
If you appreciate the work and would like to support future developments, consider buying me a coffee!
VividCut-AI is a powerful framework for automating video editing processes. It simplifies tasks such as video clipping, content extraction, and face tracking.
-
ποΈ Automated editing framework: Streamlines the video editing process using AI-driven techniques.
-
π Content Extraction: Extracts relevant segments based on user queries using a Faiss index built with
Alibaba-NLP/gte-large-en-v1.5
embeddings. -
π£οΈ Face Tracking and Cropping: Automatically tracks and crops faces in videos using YOLO models.
-
π Video Clipping: Clips and processes video segments based on AI-identified content.
-
ππ₯ Automation: Automates the video processing workflow, making it easier for content creators to produce high-quality videos.
To run VividCut-AI locally, follow these steps:
-
Clone the Repository:
git clone https://github.com/Mbonea-Mjema/VividCut-AI.git cd VividCut-AI
-
Install the Dependencies:
pip install -r requirements.txt sudo apt-get install ffmpeg
-
Run the CLI:
python CLI.py
-
Don't forget to include your Groq API key in the
CLI.py
code to enable the AI functionalities.
-
π¬ The
AIEditor
component processes video transcripts and identifies key segments. -
π₯ The
VideoProcessor
component handles video clipping, face tracking, and cropping.
π‘ VividCut-AI offers powerful tools for automating video editing, making it an essential tool for content creators.
VividCut-AI utilizes the following technologies:
- Faiss: For fast and efficient similarity search.
- Moviepy: For video processing and editing.
- OpenAI: For AI-driven content extraction and processing.
- YOLO: For object detection and face tracking in video.
These technologies provide a robust framework for automating video editing processes.
As an open-source project, we welcome contributions, whether it's a new feature, improved infrastructure, or better documentation.
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VividCut-AI is a powerful tool for automating video editing processes with AI. It simplifies tasks such as video clipping, content extraction, and face tracking. The framework streamlines the video editing process using AI-driven techniques, extracts relevant segments based on user queries, automatically tracks and crops faces in videos, clips and processes video segments based on AI-identified content, and automates the video processing workflow. VividCut-AI utilizes technologies like Faiss for similarity search, Moviepy for video processing, OpenAI for content extraction, and YOLO for face tracking in videos.
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