Mr-Homeless/waldo
A Vision Transformer-based system that analyzes Counter-Strike 2 gameplay footage to detect potential cheating behavior.
Not currently ranked — collecting fresh signals.
star history
This system applies deep learning and Vision Transformer technology to examine gameplay video clips, specifically focusing on extracting and analyzing killshot moments. Users can train models locally on their own footage using labeled data (cheating vs. legitimate) and then run inference to receive confidence scores ranging from 0.0 (likely legitimate) to 1.0 (likely cheating). Frame-by-frame analysis is provided with results automatically persisted for later review.
Frequently asked
- What is Mr-Homeless/waldo?
- A Vision Transformer-based system that analyzes Counter-Strike 2 gameplay footage to detect potential cheating behavior.
- Is waldo open source?
- Yes — Mr-Homeless/waldo is an open-source project tracked on heatdrop.
- What language is waldo written in?
- Mr-Homeless/waldo is primarily written in Python.
- How popular is waldo?
- Mr-Homeless/waldo has 437 stars on GitHub.
- Where can I find waldo?
- Mr-Homeless/waldo is on GitHub at https://github.com/Mr-Homeless/waldo.