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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 1,40 @@ | ||
| import argparse | ||
| import torch | ||
| from torch.utils.data import DataLoader | ||
| import sys, os | ||
| import pickle | ||
| sys.path.insert(0, os.path.join( | ||
| os.path.dirname(os.path.realpath(__file__)), "../../")) | ||
| import deep_audio_features.bin.basic_test | ||
| import deep_audio_features.bin.config | ||
| import numpy | ||
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| if __name__ == '__main__': | ||
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| # Read arguments -- model | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('-m', '--model', required=True, | ||
| type=str, help='Model') | ||
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| parser.add_argument('-i', '--input', required=True, | ||
| type=str, help='Input file for testing') | ||
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| parser.add_argument('-s', '--segmentation', required=False, | ||
| action='store_true', | ||
| help='Return segment predictions') | ||
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| parser.add_argument('-L', '--layers', required=False, default=0, | ||
| help='Number of final layers to cut. Default is 0.') | ||
| args = parser.parse_args() | ||
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| # Get arguments | ||
| model = args.model | ||
| ifile = args.input | ||
| layers_dropped = int(args.layers) | ||
| segmentation = args.segmentation | ||
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| # Test the model | ||
| d, p = deep_audio_features.bin.basic_test.test_model(modelpath=model, | ||
| ifile=ifile, | ||
| layers_dropped=layers_dropped, | ||
| test_segmentation=segmentation) |