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Alpha release.

Video Processor Script

This repository contains a bash script that processes video files in a specified folder using the FFmpeg tool with hevc_nvenc encoding support. The script ensures that FFmpeg with hevc_nvenc is available, and it processes .mkv and .mp4 files by re-encoding them. The script provides a progress bar and an estimated time of arrival (ETA) for the entire processing.

Prerequisites

  • FFmpeg with NVIDIA GPU support (hevc_nvenc): Ensure that FFmpeg is installed and supports the hevc_nvenc encoder.

    ffmpeg -encoders | grep hevc_nvenc

  • Bash Shell: This script is written in Bash and should be run in a Unix-like environment (Linux, macOS).

Usage

  1. Clone the repository:

    git clone https://github.com/yourusername/video-processor.git
cd video-processor

  2. Make the script executable:

    chmod +x process_videos.sh

  3. Run the script:

    Place the script in the directory containing the video files you want to process and then execute it:

    ./process_videos.sh

    Alternatively, you can specify the folder containing the videos:

    folder_path="/path/to/your/video/files" ./process_videos.sh

Script Details

  • Check FFmpeg and hevc_nvenc: The script first checks if FFmpeg with hevc_nvenc support is available. If not, it exits with an error message.

  • Process Video File: It processes each video file by re-encoding it using the hevc_nvenc encoder with quality preset -qp 28.

  • Progress Bar and ETA: The script features a progress bar with an estimated time of arrival (ETA) that updates as each video file is processed.

  • File Validation: It validates the input file to ensure it is a proper video file before attempting to process it.

  • File Size Assessment: The script can assess the quality and size of the file to avoid re-encoding videos that are already small.

Future Plans and Goals

  1. Text User Interface (TUI):

    • Integrate a TUI similar to dua for an interactive and user-friendly experience.

  2. File Quality Assessment:

    • Implement functionality to assess the quality and size of each video file.
    • Skip re-encoding for videos that are already small to save processing time.

  3. Phone Automation:

    • Set up automation with your mobile phone to streamline video processing:
      • When connected to a specified Wi-Fi network, the phone will automatically send captured videos to the computer.
      • The computer will process the videos, save the original, and send the processed video back to the phone.
      • The original video will be deleted from the phone, but both original and processed versions will be saved on the computer.
      • This setup aims to save significant storage space on the phone as videos captured by phones are typically large in size.