🎥 Python and OpenCV-based scene cut/transition detection program & library.
Video Processing in Python
OmniShotCut is a sensitive and more informative SoTA on Shot Boundary Detection task.
A Simple NSFW Classifier Based on Keras and Tensorflow
Attempt to use perceptual hash (pHash) to segment a video into "scenes" very quickly (Normally under a minute for hour long HD videos).
An AI-powered tool for summarizing YouTube videos by generating scene descriptions, translating them, and creating subtitled videos with text-to-speech narration
Resync Chapters by snapping them to Scene Changes
Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve Labs, Runway, and Descript.
Code to detect scenes and transitions in videos and compose a video to visualize the data.
OpenSceneSense is a Python library that harnesses AI for advanced video analysis, offering customizable frame and audio insights for dynamic applications in media, education, and content moderation.
Progression Boost and other encoding and filtering scripts
🎥 Yet another neural shot detector implemented in C++
AWS Sample for extracting sensor data and detecting scenes from autonomous driving data collected in ROS bag files.
scene detect and auto cut implementation
Video Processor script that automates AD making
Shorts Maker generates vertical video clips from longer gameplay footage. This Python library and CLI tool detects scenes, computes audio and video action profiles (sound intensity + visual motion), and combines them to rank scenes by overall intensity.
🏍️ A clustering tool providing exact and near de-duplication of images using vector embeddings.
YouTube Thumbnail Generator with AI-powered face detection and image generation
AI assisted video editing pipeline | scene analysis, LLM edit planning, Shotstack/ffmpeg rendering, and YouTube publishing.
When significant neurons of trained neural networks is dropped gradually, the trained model loses it ability to classify the label correctly.
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