pravj / semantris-solver

Automated solver for Semantris using OpenCV and Word Embeddings

semantris-solver

Automated solver for Semantris using OpenCV and Word Embeddings

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Setup

Clone the repository

git clone [e-mail]:pravj/semantris-solver.git

Setup Python environment with the required packages

pip install -r requirements.txt

Setup OpenCV and Tesseract

• Install OpenCV and Tesseract for your OS

Setup word embeddings

• Download pre-trained word2vec from Google News corpus
• Set the model path as an environment variable SEMANTRIS_SOLVER_WORD2VEC_PATH

export SEMANTRIS_SOLVER_WORD2VEC_PATH=/path/to/GoogleNews-vectors-negative300.bin

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Usage

Semantris Solver

Usage:
  main.py play [--mode=<mode>] [--verbose]
  main.py (-h | --help)
  main.py --version

Options:
  -h --help      Show this screen
  --version      Show version
  --verbose      Print game activity logs
  --mode=<mode>  Semantris game mode [default: arcade]

• For now it only supports the arcade mode of the game.
• Using the --verbose flag will enable the verbose logging configuration.

python main.py play --mode=arcade --verbose

• It will take 5-10 minutes to load the word embedding model
• Start the arcade version (in blue color theme) of the game in a full screen mode
• Put the cursor in the game input field for the system to enter the suggestions
• Wait for the magic model to load 🎉

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Arcade mode

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Pravendra Singh