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FFMediaToolkit is a cross-platform video decoder/encoder library for .NET that uses FFmpeg native libraries. It supports video frames extraction, reading stream metadata and creating videos from bitmaps in any format supported by FFmpeg.
By doing frame subtraction to a pre-selected frame, the script detect abnormalities in a video. Extract the differences' snapshot and record its information to a log file
🚀✨ Meet `yt_to_shots.py`, your go-to script for snagging 🔥 frames from YouTube vids & turning your PC into a cosmic wonderland! 🌌 Download vids, extract cool shots 📸, ditch the repeats 🔄, & even say bye to the vid after grabbing its goodies. Perfect for those spacey wallpapers or project vibes. Supports Arabic titles too! 🌍➡️🌌 Dive in & let
1. frames.py ::: Extract all frames according to default fps. 2. fixed_fps.py ::: Extract all frames with a fixed fps. 3. fixed_fps_length.py ::: Extract all frames with a fixed fps and untill a defined video length.
Context Understanding from Videos analyzes video content by extracting frames and audio, then detecting objects, faces, emotions, and actions. It uses Python with OpenCV, MoviePy, and YOLO. Future plans include embedding models for improved context analysis.