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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience. This project combines the capabilities of GPT-4, FFmpeg, and OpenCV to automate the process of identifying highlights in videos
| Date | Stars |
|---|---|
| 2026-07-31 | 767 |
| 2026-08-06 | 768 |
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#AI-Shorts-Creator! 🎥✂️ (WIP, You Might face some Bugs) AI-Shorts-Creator is a powerful tool designed for content creators, podcasters, and video enthusiasts to effortlessly extract captivating segments from their videos. Leveraging the advanced language model GPT-4, this innovative solution intelligently analyzes video transcripts to identify the most viral and exciting moments. By harnessing the capabilities of FFmpeg and OpenCV, AI-Shorts-Creator automatically crops videos, allowing you to focus on the key highlights and provide an enhanced viewing experience. ## AI-Shorts-Creator is a powerful tool designed to: - Automatically extract captivating segments from videos. - Identify the most viral and exciting moments using GPT-4. - Crop videos to emphasize key highlights with precise face detection. - Streamline video editing and save time by eliminating manual searching. - Work seamlessly with various video formats for maximum compatibility. - Enhance the viewing experience for your audience with perfectly cropped highlights. ## Examples: Source Video : https://www.youtube.com/watch?v=NHaczOsMQ20  ## Output Shorts: <div align="center"> <img src="https://github.com/NisaarAgharia/AI-Video-Cropper/assets/22457544/81b0759b-7cc9-4622-9440-3ccf9400ede2" alt="Demo GIF 1" width="280"/> <img src="https://github.com/NisaarAgharia/AI-Video-Cropper/assets/22457544/f3ea6e7d-f999-4597-87fc-0166c1be7840" alt="Demo GIF 2" width="280"/> <img src="https://github.com/NisaarAgharia/AI-Video-Cropper/assets/22457544/8aeeb666-cff0-493a-8a9a-18780badd79f" alt="Demo GIF 3" width="280"/> </div> https://github.com/NisaarAgharia/AI-Shorts-Creator/assets/22457544/318c8cf1-bcc3-4ed7-a979-7af17e545e6e Get started with AI-Shorts-Creator today and unlock the potential of your videos like never before! Requirements - Python 3.x - `pytube` library (install with `pip install pytube`) - `opencv-python` library (install with `pip install opencv-python`) - `openai` library (install with `pip install openai`) - `youtube-transcript-api` library (install with `pip install youtube-transcript-api`) - FFmpeg (install according to your operating system) ## Usage 1. Install the required libraries by running the following command: ```shell pip install -r requirements.txt ``` 2. Install FFmpeg by following the installation instructions for your operating system. Make sure the `ffmpeg` command is accessible from the command line. 3. Set up your OpenAI API key by replacing `openai.api_key = ''` with your actual OpenAI API key. 4. Modify the `video_id` variable in the `main()` function to specify the YouTube video you want to process. 5. Run the script: ```shell python auto_cropper.py ``` The script will download the YouTube video, analyze its transcript using OpenAI's GPT-4, extract the best sections based on the analysis, crop the video using FFmpeg, and apply face detection using OpenCV to further refine the cropping. ## Additional Information - The `download_video(url, filename)` function downloads a YouTube video by providing the URL and specifying the filename. - The `segment_video(response)` function segments the video into interesting sections based on a transcript analysis using OpenAI's GPT-4 model. - The `detect_faces(video_file)` function uses face detection to identify faces in a video file. - The `crop_video(faces, input_file, output_file)` function crops the video around the detected faces using FFmpeg. - The `is_talking_in_batch(frames)` function analyzes the lip movement or facial muscle activity within a batch of frames to determine if talking behavior is present. - The `adjust_focus(frame, talking)` function applies visual effects or adjustments to emphasize the speaker in the frame. Please note that the GPT-4 model and transcript analysis functionality in the provided code are simulated and not fully functiona
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matched fp:80f0bdd6b76258e5, topic:opencv