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# KaTrain v1.0 # KaTrain v1.0
This repository contains tool for analyzing and playing go with AI feedback. This repository contains tool for analyzing and playing go with AI feedback from KataGo.
The idea is to give immediate feedback on the many large mistakes we make in terms of inefficient moves.
It is based on the KataGo AI and relies heavily on score estimation rather than win rate. The original idea was to give immediate feedback on the many large mistakes we make in terms of inefficient moves,
but has since grown to include a wide range of features.
Some uses include: Some uses include:
* Review your games to find the moves that were most costly in terms of points lost. * Review your games to find the moves that were most costly in terms of points lost.
* Play against AI and get immediate feedback on mistakes with option to retry. * Play against AI and get immediate feedback on mistakes with option to retry.
* Play against weakened versions of AI.
* Play against a stronger player and use the retry option instead of handicap stones. * Play against a stronger player and use the retry option instead of handicap stones.
* Play a match with an evenly matched friend where both players get instant feedback.
![screenshot](https://imgur.com/t3Im6Xu.png) ![screenshot](https://imgur.com/t3Im6Xu.png)
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* Download the repository by clicking the green *Clone or download* on this page and *Download zip*. Extract the contents. * Download the repository by clicking the green *Clone or download* on this page and *Download zip*. Extract the contents.
* Make sure you have a python installation, I will assume Anaconda (Python 3.7), available [here](https://www.anaconda.com/distribution/#download-section). * Make sure you have a python installation, I will assume Anaconda (Python 3.7), available [here](https://www.anaconda.com/distribution/#download-section).
* Open 'Anaconda prompt' from the start menu and navigate to where you extracted the zip file. * Open 'Anaconda prompt' from the start menu and navigate to where you extracted the zip file using the `cd <folder>` command.
* Execute the command 'pip install kivy' * Execute the command `pip install kivy_deps.glew kivy_deps.sdl2 kivy_deps.gstreamer kivy`
* Start the app by running `python katrain.py` in the directory where you downloaded the scripts. Note that the program can be slow to initialize the first time, due to kata's gpu tuning. * Start the app by running `python katrain.py` in the directory where you downloaded the scripts. Note that the program can be slow to initialize the first time, due to kata's gpu tuning.
### Installation for Linux/Mac users ### Installation for Linux/Mac users