mp4-to-jpg-click 1.3.7

A CLI tool to extract frames from MP4/MOV videos with intelligent frame skipping and duplicate detection

Video Frame Extraction Tool

This tool allows you to extract frames from video files, with features like deduplication and dynamic frame skipping.

Features

This Video Frame Extraction Tool is designed to optimize your workflow with powerful, customizable features for handling video frame processing. Below are the standout capabilities:

• Versatile Video Format Support: Work with popular video formats including .mp4 and .mov.
• Frame Deduplication: Integrates an intelligent algorithm to eliminate similar frames, ensuring each extracted frame is unique. Customize the similarity threshold to fit your needs.
• Adaptive Frame Skipping: Dynamically skips frames to maintain efficiency without sacrificing quality. The tool automatically adjusts skipping based on the video's FPS and duration, or you can customize the settings to your preferences.
• Custom Frame Limits: Exercise complete control over your output. Set a cap on the maximum number of frames extracted from each video or across all your video processing tasks.
• Fast Processing: Leverages the power of multi-core CPUs to speed up frame extraction, enabling parallel processing of video files.
• User-Friendly GUI: A graphical user interface simplifies file selection and settings adjustments, making it accessible to users of all skill levels.

Requirements

• Python 3.6+
• Required Python packages (listed in requirements.txt):
  • opencv-python
  • tqdm
  • loguru
  • imagededup
  • click
  • tkinter

Installation

1. Clone the repository:

   git clone [https://github.com/yourusername/video-frame-extraction-tool.git](https://github.com/yourusername/video-frame-extraction-tool.git)
   cd video-frame-extraction-tool
   

2. Install the required Python packages:

   pip install -r requirements.txt
   

Usage:

python extract_frames.py [OPTIONS]

CLI arguments:

Tailor the tool's operation with command-line arguments to fit your project requirements:

• --threshold FLOAT Set the similarity threshold for deduplication (range: 0.5 to 1.0). A higher value results in stricter deduplication.
• --no-deduplication Disables the frame deduplication feature.
• --no-fps-skip Stops the tool from skipping frames based on FPS, extracting every frame.
• --no-time-skip Prevents frame skipping based on video duration.
• --max-frames INTEGER Limit the total number of frames to be generated from all processed videos.
• --max-frames-per-video INTEGER Specify a maximum number of frames to be extracted from each individual video.

Example usage:

python extract_frames.py --threshold 0.95 --max-frames 5000 --max-frames-per-video 1000

This fine-tuned approach provides a robust and flexible solution to efficiently manage frame extraction projects with precision control over output quality and operational parameters.

How It Works

Frame Extraction & Optimization

• Variable Frame Skipping: Based on the set parameters and video characteristics (FPS and length), the tool calculates an optimal frame skipping strategy to balance between processing speed and output quality.
• Parallel Processing: Distributes the workload across available CPU cores, significantly reducing the time required for frame extraction.
• Efficient Frame Saving: Extracted frames are saved as JPG images, with an option to adjust the quality and resolution to meet specific needs.

Deduplication for Quality Control:

• Utilizes a CNN-based method to analyze and compare frames for near-duplicate detection.
• Customizable threshold: Allows precision control over what is considered a duplicate, adjustable via the --threshold argument.
• Organizes and relocates duplicates to a designated folder, ensuring your main output directory contains only unique frames.

Contributing

Contributions are welcome! Please open issues or submit pull requests.

Contact

For questions or feedback, please contact [e-mail]].