Computer Vision - Rock, Paper, Scissors

Work in Progress

Rock, paper, scissors using Teachable Machine to collect images to create a model that recognises hand gestures.

Creating the Model

First step was to create the image model using Teachable Machine. Using the built in webcam, recording specific hand gestures directly to the website, between 300 - 450 images, infront of a plain backgroud and without my face in the same frame.
Creating four different classes for the three specific hand gestures associated with the game and allowing those images to train the machine. This took a couple of minutes.
Once the machine has been trained, the model is ready to be previewed and downloaded.

Once the model has been downloaded to a .h5 file, the game play can be written.
Using python to create a simple rock, paper, scissors game where the computers choice is a random guess and you are able to input your guess before the computers guess is revealed.

def play():
    player = get_user_choice()
    computer = get_computer_choice()
    print(get_winner(computer, player))

After testing the game, it was clear that the code was not recognising the user/player input when the first letter of the word was not capitalised.
A simple adjustment of using the .capitalize() method to ensure that what ever the input from the use is, the first letter will be capitalised.