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GitHub / satinder147 / stone_paper_scissor_defeator_using_opencv_keras

In this repository i tried to replicate a cool project by a japanese scientist who made a machine which had 100 % accuracy in defeating humans in the game of stone-paper and scissors

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/satinder147%2Fstone_paper_scissor_defeator_using_opencv_keras

Stars: 22
Forks: 9
Open Issues: 0

License: mit
Language: Python
Repo Size: 8.79 KB
Dependencies: 18

Created: over 6 years ago
Updated: about 2 years ago
Last pushed: over 5 years ago
Last synced: about 1 year ago

Topics: arduino, computer-vision, convolutional-neural-networks, fast, keras, keras-neural-networks, machine-learning, opencv, python, robust

Files

Readme

Dependencies

requirements_cpu.txt pypi

datetime *
h5py *
keras *
numpy *
opencv-python *
pyttsx3 *
scikit-learn *
sklearn *
tensorflow *
time *

requirements_gpu.txt pypi

h5py *
keras *
numpy *
opencv-python *
pyttsx3 *
scikit-learn *
sklearn *
tensorflow-gpu *