Amine

Yes I append the landmarks with the hog features and the flatten image, then I feed everything to the SVM. Since it's supervised learning, the SVM expects also the labels...

In this svm version I concatenate the two, but in the other repository using cnn indeed I feed the images alones in a 2d convolutional layer, and I feed the...

What was the model you used?

I have a hypothesis but not sure: may be the landmarks are useful only on small architecture, like the 5-layers model I used, but in the case of bigger models...

It looks like opencv can't access to your camera can you provide more details about the error and check if your opencv can read images from the camera?

Hi @swastikbanerjee07, thank you for your help Currently, we have to manually donwload the following 2 files before using the training script: - fer2013.csv - shape_predictor_68_face_landmarks.dat The idea is to...

Hi, 1. yes you should import urllib, but do not write the code in parameters.py, instead create a new file. The parameters.py file is only reserved for configuration variables. 2....

You can use it and cite the repository as reference. Otherwise it will be considered as plagiarism

Can you add a print statement before line 55 to check the size of data['X'], data['X2'] and data['Y']?

I don't recommend CNN for speech recognition, since it's a temporal data I would recommend RNN or LSTM. The question is rather large, you have many possibilities, I think you...