tianqiraf/DouZero_For_HappyDouDiZhu
基于DouZero定制AI实战欢乐斗地主 observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1879
- days_rel: n/a
- days_push: 1558
- n_releases_24m: 0
Adoption not part of the score
2065 stars · 443 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python desktop application that applies the DouZero reinforcement-learning Dou Dizhu (Chinese card game) AI to the popular Happy DouDiZhu game. It captures the game window, recognizes cards via template matching, and suggests moves in real time through a PyQt interface.
Use cases
- get AI move suggestions while playing Happy DouDiZhu
- run DouZero models against a live card game
- recognize playing cards from screen captures
- experiment with reinforcement learning game agents in practice
- adjust screen coordinates for pixel-level card detection
- compare SL, DouZero-WP, and DouZero-ADP pretrained models
When to choose
- you want to use DouZero AI with the Happy DouDiZhu Windows client
- you need a ready-made screen-recognition card game assistant
- you want to study applying RL models to real game UIs
When to avoid
- you need a headless or cross-platform solution
- your screen resolution differs significantly from 1920x1080 and you cannot adjust coordinates
- you want a general-purpose card game engine rather than a game-specific assistant
Facets
application · maturity maintenance
machine-learning deep-learning computer-vision image-processing gui artificial-intelligence machine-learning gaming-tools computer-vision windows python douzero doudizhu card-game-ai screen-recognition pyqt reinforcement-learning game-assistant desktop
1 source
- readme: https://github.com/tianqiraf/DouZero_For_HappyDouDiZhu · fetched 2026-08-28 · 5ba6349444b7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tianqiraf/DouZero_For_HappyDouDiZhu | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="tianqiraf/DouZero_For_HappyDouDiZhu")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem