aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
This tool helps anyone needing to analyze visual content by automatically identifying, tracking, or segmenting objects and even estimating human poses in images and real-time video streams. You provide an image, video file, webcam feed, or YouTube URL, and it outputs visual analysis, showing detected items, their locations, and counts. This is ideal for professionals in security, manufacturing, sports analysis, or retail who need to automatically monitor activities or inventory.
408 stars.
Use this if you need to automatically detect specific items, track their movement over time, count occurrences, or analyze human poses in visual media, from surveillance footage to product quality control.
Not ideal if you need to analyze highly specialized objects not covered by common categories, or if your application requires extremely low latency on resource-constrained hardware without a GPU.
Stars
408
Forks
160
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
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