Category : real-time

Simply, Imagine I have 100 trained Neural Networks, And a Test image( or Samples, tensor, vector etc.) I want to calculate output of all my trained nets on test sample, One simple way is to use for loop, and calculate network responses one by one. Like so : def show_reconstructions(model,X_test): reconstructions = model.predict(X_test) return reconstructions ..

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Using Python for Google Realtime Streaming, But always getting this ERROR. req = (types.StreamingRecognizeRequest(audio_content=content) File "/srv/www/livestream_new_venv/lib/python3.8/site-packages/proto/message.py", line 514, in init pb_value = marshal.to_proto(pb_type, value) File "/srv/www/livestream_new_venv/lib/python3.8/site-packages/proto/marshal/marshal.py", line 200, in to_proto proto_type.DESCRIPTOR.has_options AttributeError: ‘NoneType’ object has no attribute ‘DESCRIPTOR’ Searched many places found in some articles that the problem is due to google-speech version so also ..

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