LizGoban 0.9.0

Highlights:

• Upgrade KataGo to 1.16.0.
• Add visualization of AI's search tree. (Tool > Plot MCTS tree) sample
• Add rank estimation feature if a human model is available:
  • rank estimation (9d, 3d, 1k, 6k, or 15k, by default. Check Edit > Preferences > Finer dan/kyu scan for finer but slower estimation.)
  • each rank's preferences in the winrate graph
  • automatic adjustment of the human-style profile in match vs. AI.
• [Experimental] Show the search tree for "if players try to capture/rescue this stone" by shift + double-click. You need to specify KataGo's option -human-model for good results. (In the all-in-one package for Windows, choose "Human-like Analysis" from "Preset" menu.) ref

Further updates:

• Add board and stone images to the all-in-one package for Windows.
• Add board position copy-paste.
  1. Alt+drag to select the source region.
  2. Edit > Flip / rotate / etc. > copy stones
  3. Alt+drag to select the destination region.
  4. Edit > Flip / rotate / etc. > paste
• Add tsumego frame without ko threats. (Tool > Tsumego frame)
• Add "Next move quiz" to View menu.

Incompatibilities with 0.8.*:

• Upgrade libraries (Electron 36, etc.). So you may need to do "npm install" again if you use LizGoban from the command line.

Human-style features

Choose "Human-like Analysis" or "Human-like Play" from "Preset" menu and refer to "KataGo" section in "Help" menu for details.

To use it on 64bit Windows immediately

Just download the all-in-one package (LizGoban-*_win_*.zip), unzip it, and double-click LizGoban *.exe. You do not need installation, configuration, additional downloads, and so on. Its file size is due to the built-in engine:

• KataGo (eigenavx2, opencl)
• 18 block network (kata1-b18c384nbt-s9996)
• human-trained network (b18c384nbt-humanv0)

You can switch KataGo versions (CPU and GPU) by [Preset] menu in LizGoban. The first run of the GPU version may take a long time (1 hour on a low-spec machine, for example) for its initial tuning. You can also choose "Human-like Analysis" or "Human-like Play" from [Preset] menu. Refer to "KataGo" section in [Help] menu for details.

To customize it on 64bit Windows

If you want to use another network (aka. model, weights), you can simply click the Engine menu and select "Load network weights". Additionally, you can modify the config.json file for more flexible configuration. See README for details.

To use it on other platforms (Mac, Linux, ...)

Download the source code and see README.md.