[GitHub] stu1130 commented on a change in pull request #13325: [MXNET-1210 ] Gluon Audio - Example

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stu1130 commented on a change in pull request #13325: [MXNET-1210 ] Gluon Audio - Example
URL: https://github.com/apache/incubator-mxnet/pull/13325#discussion_r235140256
 
 

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 File path: example/gluon/urban_sounds/datasets.py
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# coding: utf-8
+# pylint: disable=
+""" Audio Dataset container."""
+__all__ = ['AudioFolderDataset']
+
+import os
+import warnings
+from mxnet.gluon.data import Dataset
+from mxnet import ndarray as nd
+try:
+    import librosa
+except ImportError as e:
+    warnings.warn("gluon/contrib/data/audio/datasets.py : librosa dependency could not be resolved or \
+    imported, could not load audio onto the numpy array.")
+
+
+class AudioFolderDataset(Dataset):
+    """A dataset for loading Audio files stored in a folder structure like::
+
+        root/children_playing/0.wav
+        root/siren/23.wav
+        root/drilling/26.wav
+        root/dog_barking/42.wav
+            OR
+        Files(wav) and a csv file that has filename and associated label
+
+    Parameters
+    ----------
+    root : str
+        Path to root directory.
+    transform : callable, default None
+        A function that takes data and label and transforms them
+    train_csv: str, default None
+       train_csv should be populated by the training csv filename
+    file_format: str, default '.wav'
+        The format of the audio files(.wav, .mp3)
+    skip_rows: int, default 0
+        While reading from csv file, how many rows to skip at the start of the file to avoid reading in header
+
+
+    Attributes
+    ----------
+    synsets : list
+        List of class names. `synsets[i]` is the name for the integer label `i`
+    items : list of tuples
+        List of all audio in (filename, label) pairs.
+
+    """
+    def __init__(self, root, train_csv=None, file_format='.wav', skip_rows=0):
+        if not librosa:
+            warnings.warn("pip install librosa to continue.")
+            return
+        self._root = os.path.expanduser(root)
+        self._exts = ['.wav']
+        self._format = file_format
+        self._train_csv = train_csv
+        if file_format.lower() not in self._exts:
+            warnings.warn("format {} not supported currently.".format(file_format))
+            return
+        self._list_audio_files(self._root, skip_rows=skip_rows)
+
+
+    def _list_audio_files(self, root, skip_rows=0):
+        """Populates synsets - a map of index to label for the data items.
+        Populates the data in the dataset, making tuples of (data, label)
+        """
+        self.synsets = []
+        self.items = []
+        if self._train_csv is None:
+            for folder in sorted(os.listdir(root)):
+                path = os.path.join(root, folder)
+                if not os.path.isdir(path):
+                    warnings.warn('Ignoring %s, which is not a directory.'%path, stacklevel=3)
 
 Review comment:
   nit: unify warning formatting style: either `%` or `.foramt()`

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