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FFmpeg Encoder Decoder for Python

website·Indexed 30 days ago

https://cainmagi.github.io/flask-sqlalchemy-compat

A Python library for video encoding and decoding using FFmpeg. It provides classes such as MpegEncoder for encoding and managing video files, MpegDecoder for decoding and rescaling video frames, and MpegServer and MpegClient for pushing and receiving real-time video streams. The library supports version 3.1.0, 3.2.x, and a preview version.

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What's inside FFmpeg-Encoder-Decoder-for-Python

  1. Overview of FFmpeg-Encoder-Decoder-for-Python

    FFmpeg-Encoder-Decoder-for-Python is a library based on FFmpeg, Python-C-API, and C++11 that allows developers to use all FFmpeg video encoders. Unlike wrappers that use command-line pipes, this library calls the FFmpeg C API directly. It is designed for research scenarios and uses np.ndarray (NumPy) as its primary data format, enabling seamless integration between NumPy and FFmpeg.

  2. Overview of MpegClient for real-time video decoding

    MpegClient is a frame-scale video stream client used for real-time online video decoding. It maintains a background thread to continuously fetch and decode remote video frames into a circular buffer. Users must initialize the decoder before reading frames and close it after completion (though it will auto-close upon instance destruction). It supports thread control via start() to synchronize the buffer with the live stream and terminate() to pause updates.
    import mpegCoder
cln = mpegCoder.MpegClient()

  4. Overview of FFmpeg-Encoder-Decoder-for-Python

    FFmpeg-Encoder-Decoder-for-Python is a library implemented using the FFmpeg C APIs, Python-C-API, and C++11. Unlike CLI-driven wrappers, it interacts directly with FFmpeg's C libraries and uses np.ndarray (NumPy) as the primary data format, allowing developers to combine NumPy and FFmpeg for high-performance video processing.

  5. Overview of FFmpeg-Encoder-Decoder-for-Python

    FFmpeg-Encoder-Decoder-for-Python is a library implemented using the FFmpeg C APIs, Python-C-API, and C++11. Unlike CLI-driven wrappers, it provides direct access to FFmpeg's internal APIs and uses np.ndarray (NumPy) as the primary data format, allowing developers to integrate NumPy and FFmpeg directly for video processing.

  6. Overview of FFmpeg Encoder Decoder for Python

    The FFmpeg Encoder Decoder for Python is a C++ based library designed for Python 3.5+ and numpy 1.13+. It provides encoding and decoding capabilities for both Linux and Windows platforms. A key advantage of this library is that it does not theoretically require a separate FFmpeg installation on the system to function.

  7. Overview of FFmpeg-Encoder-Decoder-for-Python

    FFmpeg-Encoder-Decoder-for-Python is a library written in C++11 and Python-C-API that provides direct access to FFmpeg's C API. Unlike wrappers that use command-line pipes, this library interacts directly with FFmpeg core, allowing for frame-level read/write operations where each frame is represented as a NumPy np.ndarray. It supports automatic detection of video formats and codecs during decoding/demuxing and allows manual control over encoding formats, bitrates, and other parameters.

  8. Overview of the Flask-SQLAlchemy-Lite demo application

    The app_fsqla_lite.py demo implements a complete Flask application with the following features:

    • Authentication system powered by Flask-Login.
    • Role-based access control: Admin users can access all user lists and entries, while regular users can only access their own entries.
    • Database backend: Uses Flask-SQLAlchemy-Lite by default, falling back to Flask-SQLAlchemy if the Lite version is unavailable.
    • User management: Includes hashed password storage with set_password() and validate_password() methods in the User ORM.

  9. Overview of FFmpeg Encoder Decoder for Python

    The FFmpeg Encoder Decoder for Python is a C++ based library designed for Python 3.5+ and numpy 1.13+. It provides encoding and decoding capabilities for both Linux and Windows platforms. A key feature of this library is that it does not theoretically require a separate FFmpeg installation on the system to function.

  11. Overview of flask-sqlalchemy-compat

    flask-sqlalchemy-compat provides compatibility support between flask_sqlalchemy and flask_sqlalchemy_lite. Its primary purpose is to allow developers to use an interface similar to flask_sqlalchemy_lite on Python versions <= 3.8 by leveraging flask_sqlalchemy, eliminating the need to maintain two separate codebases for different Python versions.

  12. Overview of FFmpeg Encoder Decoder for Python

    The FFmpeg Encoder Decoder for Python is a C++ based library designed for Python 3.5+ and numpy 1.13+. It provides encoding and decoding capabilities for both Linux and Windows platforms. A key feature of this library is that it theoretically does not require a separate FFmpeg installation on the system to function.