once I've trained my model, how can I use it to recognize an image? thx

[buliuguyy]

I tried to do this by(in python3):
signDetector = GestureRecognizer.load_model(name="sign_detector.pkl.gz")
image = io.imread(r"C:\Users\thinkpad\Desktop\Sign-Language-and-Static-gesture-recognition-using-sklearn-
master\dataset\user_3\A0.jpg")
out1, final_predictions=signDetector.recognize_gesture(image)
print(final_predictions)

however,I received a ValueError from _prepare_colorarray : Input array must have a shape == (..., 3)), got (128, 128, 2)
and i am confused

[mon95]

Sorry, I don't remember the exact details as I did this a long long time ago. But, I'd recommend you check the readme to see if everything aligns.

The error itself looks like you're passing in a 2-channel image (for eg., black and white images) when the input expected would be a 3-channel image (for e.g., RGB color images) - so could you check this?