OpenCV noise reduction values in blur functions should be generated automatically from noise level of frames.

Directory structure must change.

Draw a diagram about database.

3D Camera needed for calculation of distance between camera and subject.

h2v_net = buildNetwork(2048, 5, 230400, hiddenclass=LSTMLayer, outputbias=False, recurrent=True)

Even with 2048 input neuron, 5 LSTM cell, 230400 output neuron, 5 epochs takes 10 seconds to complete.

For 500 epochs training every sample takes 16 minutes. Which is not an acceptable result.

It seems Hearing to Vision LSTM is impossible with today's hardware.

*It's not even starting if there are 16384 LSTM cells.

See commit 48e29c7

Bonjour j'aimerais savoir si cela est possible de fusionner cerebrum avec dragonfire pour une meilleur capacités

Merci d votre comprehension

If needed add KeyboardInterrupt Exception for infinite loops.

• Reducing the frame rate in vision
• Lossy compress frames in vision
• Lossy compress audio recordings in hearing

High quality microphone needed for better sound recordings.

Synchronization failure.