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analytics

Video Search & Summarization: AI-Powered Media Intelligence

GPU-accelerated framework for building vision agents that can search, analyze, and extract insights from video content. Perfect for startups leveraging AI-driven media analytics.
1,499 stars317 forksPythonQuality 8/10Updated 6/2/2026100% free · open source
What it does

This tool helps startups analyze and extract insights from video content using AI-powered vision agents

When to use it
  • •When you need to automatically identify and tag objects or events in videos
  • •When you want to summarize long videos into shorter, highlights-only versions
  • •When you need to search large video libraries for specific content or patterns
Quick start
  1. 1Clone the GitHub repository and install the required Python dependencies
  2. 2Follow the README instructions to set up a GPU-accelerated environment
  3. 3Choose a reference architecture that aligns with your use case and modify it to suit your needs
  4. 4Test your vision agent with sample video data to ensure it's working as expected
Ready-to-paste prompt
python video_analysis.py --input_video=/path/to/input/video.mp4 --output_summary=/path/to/output/summary.json

Topics

agents
llm
rag
skills
video-analytics
video-search
vlm
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

9
top-level files
7
folders
99.0M
repo size
Other
license
Key files
.pre-commit-config.yaml
README.md
File tree
.github/
agent/
assets/
deployments/
scripts/
skills/
ui/
.gitattributes
.pre-commit-config.yaml
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE
LICENSE-3rd-party.txt
LICENSE.DATA
README.md
SECURITY.md
Quick Actions
Details
Creator
NVIDIA-AI-Blueprints
Language
Python
Category
analytics
Published
10/22/2024

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