YAMNet is a pre-trained neural network that employs the MobileNetV1 depthwise-separable convolution architecture. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 04:17:44.338726: W tensorflow/compiler/tf2tensorrt/utils/py_:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. 04:17:44.338717: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer_plugin.so.7' dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 04:17:44.338584: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer.so.7' dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory pip install -q 'tensorflow=2.11.*' # tensorflow_io 0.28 is compatible with TensorFlow 2.11 pip install -q 'tensorflow_io=0.28.*' import os Start by installing TensorFlow I/O, which will make it easier for you to load audio files off disk. Build a new model using the YAMNet embeddings to classify cat and dog sounds.

Load and use the YAMNet model for inference.YAMNet is a pre-trained deep neural network that can predict audio events from 521 classes, such as laughter, barking, or a siren.

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