whisdev

whisdev / soccer-video-detection-ai-agent

Public

soccer video detection ai agent

scorevision.io football football-analytics keypoint-detection player soccer-analytics
41
41
100% credibility
Found Mar 24, 2026 at 41 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

This repository provides an AI tool for processing soccer videos to detect players, classify them into teams using appearance, and identify key points on the pitch for field mapping.

How It Works

1
⚽ Discover the Soccer Video Analyzer

You find this fun tool that uses AI to break down soccer videos, spotting players, teams, and field markers.

2
📥 Download to Your Computer

Grab the project files and save them in a folder on your machine so you can start using it.

3
🧠 Add the Smart Model Files

Put the special AI brain files (like player_detect.pt) into the weights folder to give it the smarts it needs.

4
🎥 Pick Your Video and Start

Choose a soccer video file, tell the tool where to save results, and hit go to let the magic happen.

5
⏳ Watch It Analyze

Sit back as the AI scans every frame, finding players, sorting teams by jerseys, and mapping the field.

✨ Enjoy Labeled Highlights

Get an awesome new video with boxes around players colored by team, dots on field spots, and data files to explore.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 41 to 41 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is soccer-video-detection-ai-agent?

This Python tool processes soccer videos to detect players, classify them into Team 1 or Team 2, and pinpoint 32 pitch keypoints for field normalization via homography. Feed it a match clip via CLI like `python run.py --video soccer.mp4 --output-dir output --save-video`, and get annotated videos, JSON results with bounding boxes and keypoints, plus optional warped field templates. Built for soccer analytics github workflows, it handles broadcast footage for github soccer analysis, soccer videos goals, or soccer videos skills breakdowns.

Why is it gaining traction?

It delivers a ready-to-run pipeline for soccer video camera feeds, auto-clustering teams from jersey appearances with color fallback, skipping manual labeling hassles in alternatives. GPU acceleration keeps inference snappy on long clips, outputting structured data for downstream soccer stats github or soccer prediction models. Devs dig the zero-config setup after grabbing weights, perfect for quick prototypes in soccer stream processing or soccer video games 2025.

Who should use this?

Sports data engineers building soccer analytics github tools or github soccer api backends. Soccer betting devs needing player tracking for github soccer betting odds. Indie game makers prototyping soccer manager sims or soccer video games free with real match overlays. Soccer content creators analyzing soccer videos shorts/on youtube for skills or goals.

Verdict

Grab it for targeted soccer video detection if you're in the niche—solid CLI, clear outputs, and docs make it usable out-of-box despite 41 stars and 1.0% credibility score signaling early maturity. Test on your hardware first; lacks broad validation but primes well for custom soccer agent extensions.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.