Python-简单快速实时可定制的机器学习音频分类器

[{"title":"（ 51 个子文件 61.62MB ） Python-简单快速实时可定制的机器学习音频分类器","children":[{"title":"ml-sound-classifier-master","children":[{"title":"common.py <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"visualize.py <span style='color:#111;'> 4.01KB </span>","children":null,"spread":false},{"title":"title.jpg <span style='color:#111;'> 145.57KB </span>","children":null,"spread":false},{"title":"deskwork_detector.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"mobilenetv2_fsd2018_41cls.h5 <span style='color:#111;'> 7.10MB </span>","children":null,"spread":false},{"title":"alexbased_small_fsd2018_41cls.h5 <span style='color:#111;'> 4.03MB </span>","children":null,"spread":false},{"title":"alexbased_small_fsd2018_41cls.pb <span style='color:#111;'> 4.01MB </span>","children":null,"spread":false},{"title":"mobilenetv2_fsd2018_41cls.pb <span style='color:#111;'> 6.91MB </span>","children":null,"spread":false},{"title":"mobilenetv2_fsd2018_41cls.txt <span style='color:#111;'> 19.73MB </span>","children":null,"spread":false},{"title":"mobilenetv2_small_fsd2018_41cls.h5 <span style='color:#111;'> 7.10MB </span>","children":null,"spread":false}],"spread":true},{"title":"test","children":[{"title":"test_lib_train.py <span style='color:#111;'> 1003B </span>","children":null,"spread":false}],"spread":true},{"title":"sample","children":[{"title":"desktop_sounds.wav <span style='color:#111;'> 1.12MB </span>","children":null,"spread":false},{"title":"fireworks.wav <span style='color:#111;'> 1.07MB </span>","children":null,"spread":false}],"spread":true},{"title":"sound_models.py <span style='color:#111;'> 2.82KB </span>","children":null,"spread":false},{"title":"premitive_file_predictor.py <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"realtime_predictor.py <span style='color:#111;'> 4.36KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"lib_train.py <span style='color:#111;'> 16.57KB </span>","children":null,"spread":false},{"title":"ext","children":[{"title":"download.sh <span style='color:#111;'> 619B </span>","children":null,"spread":false}],"spread":true},{"title":"EXAMPLE_APPS.md <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"RaspberryPi.md <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 28B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 11.92KB </span>","children":null,"spread":false},{"title":"apps","children":[{"title":"fsdkaggle2018small","children":[{"title":"train_mobilenetv2.py <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"train_alexbased.py <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false}],"spread":false},{"title":"IF201812","children":[{"title":"IF201812-Preprocess.ipynb <span style='color:#111;'> 6.92KB </span>","children":null,"spread":false},{"title":"IF201812-Train-Eval-All.ipynb <span style='color:#111;'> 190.35KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 982B </span>","children":null,"spread":false}],"spread":false},{"title":"fsdkaggle2018","children":[{"title":"train_mobilenetv2.py <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"train_alexbased.py <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"FSDKaggle2018-TF-Model-Coversion.ipynb <span style='color:#111;'> 4.84MB </span>","children":null,"spread":false},{"title":"FSDKaggle2018-Visualize.ipynb <span style='color:#111;'> 9.52MB </span>","children":null,"spread":false}],"spread":false},{"title":"urban-sound","children":[{"title":"train.py <span style='color:#111;'> 871B </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false}],"spread":false},{"title":"cnn-laser-machine-listener","children":[{"title":"CNN-LML-Preprocess-Data.ipynb <span style='color:#111;'> 78.86KB </span>","children":null,"spread":false},{"title":"CNN-LML-Visualize.ipynb <span style='color:#111;'> 894.71KB </span>","children":null,"spread":false},{"title":"cnn-alexbased-laser-machine-listener.pb <span style='color:#111;'> 3.97MB </span>","children":null,"spread":false},{"title":"CNN-LML-Another-Attempt-AlexNetBased.ipynb <span style='color:#111;'> 524.86KB </span>","children":null,"spread":false},{"title":"CNN-LML-Train.ipynb <span style='color:#111;'> 120.36KB </span>","children":null,"spread":false},{"title":"CNN-LML-TF-Model-Conversion.ipynb <span style='color:#111;'> 4.78MB </span>","children":null,"spread":false},{"title":"cnn-model-laser-machine-listener.pb <span style='color:#111;'> 6.77MB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 589B </span>","children":null,"spread":false},{"title":"download.sh <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"model_based_on_fsd.h5 <span style='color:#111;'> 6.96MB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"convert_keras_to_tf.py <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false},{"title":"template_realtime_mels_viewer.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"rpi","children":[{"title":"config.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]