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I trained the classifier as explained in your post, and got a trained model. I'm now trying to put together a script that can take a grayscale image from the RPi Camera V2, then return a value from 0-6 depending on the emotion it detected using the trained model. However, I don't know how to feed the landmarks I extracted from the image to the model. I tried replicating some snippets of your code in order to get the desired results, but always ended up feeding incompatible data to the "predict()" function. How could this be done?
The text was updated successfully, but these errors were encountered:
I trained the classifier as explained in your post, and got a trained model. I'm now trying to put together a script that can take a grayscale image from the RPi Camera V2, then return a value from 0-6 depending on the emotion it detected using the trained model. However, I don't know how to feed the landmarks I extracted from the image to the model. I tried replicating some snippets of your code in order to get the desired results, but always ended up feeding incompatible data to the "predict()" function. How could this be done?
The text was updated successfully, but these errors were encountered: