{"action":"created","comment":{"url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments/236764712","pull_request_review_id":178907800,"id":236764712,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIzNjc2NDcxMg==","diff_hunk":"@@ -0,0 +1,170 @@\n+# Licensed to the Apache Software Foundation (ASF) under one\n+# or more contributor license agreements.  See the NOTICE file\n+# distributed with this work for additional information\n+# regarding copyright ownership.  The ASF licenses this file\n+# to you under the Apache License, Version 2.0 (the\n+# \"License\"); you may not use this file except in compliance\n+# with the License.  You may obtain a copy of the License at\n+#\n+#   http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing,\n+# software distributed under the License is distributed on an\n+# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n+# KIND, either express or implied.  See the License for the\n+# specific language governing permissions and limitations\n+# under the License.\n+\n+# coding: utf-8\n+# pylint: disable=\n+\"\"\" Audio Dataset container.\"\"\"\n+__all__ = ['AudioFolderDataset']\n+\n+import os\n+import warnings\n+from mxnet.gluon.data import Dataset\n+from mxnet import ndarray as nd\n+try:\n+    import librosa\n+except ImportError as e:\n+    warnings.warn(\"librosa dependency could not be resolved or \\\n+    imported, could not load audio onto the numpy array. pip install librosa\")\n+\n+\n+class AudioFolderDataset(Dataset):\n+    \"\"\"A dataset for loading Audio files stored in a folder structure like::\n+\n+        root/children_playing/0.wav\n+        root/siren/23.wav\n+        root/drilling/26.wav\n+        root/dog_barking/42.wav\n+            OR\n+        Files(wav) and a csv file that has filename and associated label\n+\n+    Parameters\n+    ----------\n+    root : str\n+        Path to root directory.\n+    transform : callable, default None\n+        A function that takes data and label and transforms them\n+    train_csv: str, default None\n+       train_csv should be populated by the training csv filename\n+    file_format: str, default '.wav'\n+        The format of the audio files(.wav)\n+    skip_rows: int, default 0\n+        While reading from csv file, how many rows to skip at the start of the file to avoid reading in header\n+\n+\n+    Attributes\n+    ----------\n+    synsets : list\n+        List of class names. `synsets[i]` is the name for the integer label `i`\n+    items : list of tuples\n+        List of all audio in (filename, label) pairs.\n+\n+    \"\"\"\n+    def __init__(self, root, train_csv=None, file_format='.wav', skip_rows=0):\n+        if not librosa:\n+            warnings.warn(\"pip install librosa to continue.\")\n+            return\n+        self._root = os.path.expanduser(root)\n+        self._exts = ['.wav']\n+        self._format = file_format\n+        self._train_csv = train_csv\n+        if file_format.lower() not in self._exts:\n+            raise RuntimeError(\"format {} not supported currently.\".format(file_format))\n+\n+        self._list_audio_files(self._root, skip_rows=skip_rows)\n+\n+\n+    def _list_audio_files(self, root, skip_rows=0):\n+        \"\"\"Populates synsets - a map of index to label for the data items.\n+        Populates the data in the dataset, making tuples of (data, label)\n+        \"\"\"\n+        self.synsets = []\n+        self.items = []\n+        if self._train_csv is None:","path":"example/gluon/urban_sounds/datasets.py","position":89,"original_position":86,"commit_id":"214d4baf259fe067bb7deb60349d31c85d1fa40d","original_commit_id":"4fe850c854f58a728ac3cf182c6694a6b01d4b1c","user":{"login":"vandanavk","id":9017059,"node_id":"MDQ6VXNlcjkwMTcwNTk=","avatar_url":"https://avatars2.githubusercontent.com/u/9017059?v=4","gravatar_id":"","url":"https://api.github.com/users/vandanavk","html_url":"https://github.com/vandanavk","followers_url":"https://api.github.com/users/vandanavk/followers","following_url":"https://api.github.com/users/vandanavk/following{/other_user}","gists_url":"https://api.github.com/users/vandanavk/gists{/gist_id}","starred_url":"https://api.github.com/users/vandanavk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vandanavk/subscriptions","organizations_url":"https://api.github.com/users/vandanavk/orgs","repos_url":"https://api.github.com/users/vandanavk/repos","events_url":"https://api.github.com/users/vandanavk/events{/privacy}","received_events_url":"https://api.github.com/users/vandanavk/received_events","type":"User","site_admin":false},"body":"`if not self._train_csv` ?","created_at":"2018-11-27T17:18:42Z","updated_at":"2018-11-27T17:38:38Z","html_url":"https://github.com/apache/incubator-mxnet/pull/13325#discussion_r236764712","pull_request_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/13325","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments/236764712"},"html":{"href":"https://github.com/apache/incubator-mxnet/pull/13325#discussion_r236764712"},"pull_request":{"href":"https://api.github.com/repos/apache/incubator-mxnet/pulls/13325"}},"in_reply_to_id":236477430},"pull_request":{"url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/13325","id":232168331,"node_id":"MDExOlB1bGxSZXF1ZXN0MjMyMTY4MzMx","html_url":"https://github.com/apache/incubator-mxnet/pull/13325","diff_url":"https://github.com/apache/incubator-mxnet/pull/13325.diff","patch_url":"https://github.com/apache/incubator-mxnet/pull/13325.patch","issue_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/13325","number":13325,"state":"open","locked":false,"title":"[MXNET-1210 ] Gluon Audio - Example","user":{"login":"gaurav-gireesh","id":28286834,"node_id":"MDQ6VXNlcjI4Mjg2ODM0","avatar_url":"https://avatars1.githubusercontent.com/u/28286834?v=4","gravatar_id":"","url":"https://api.github.com/users/gaurav-gireesh","html_url":"https://github.com/gaurav-gireesh","followers_url":"https://api.github.com/users/gaurav-gireesh/followers","following_url":"https://api.github.com/users/gaurav-gireesh/following{/other_user}","gists_url":"https://api.github.com/users/gaurav-gireesh/gists{/gist_id}","starred_url":"https://api.github.com/users/gaurav-gireesh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gaurav-gireesh/subscriptions","organizations_url":"https://api.github.com/users/gaurav-gireesh/orgs","repos_url":"https://api.github.com/users/gaurav-gireesh/repos","events_url":"https://api.github.com/users/gaurav-gireesh/events{/privacy}","received_events_url":"https://api.github.com/users/gaurav-gireesh/received_events","type":"User","site_admin":false},"body":"## Description ##\r\nContribute an Example for performing a task with Audio data that demonstrates the following abilities: \r\n- to be able to load audio (only .wav files supported currently) files and make an AudioDataset (NDArrays),\r\n- apply some popular audio transforms on the audio data( example scaling, MEL, MFCC etc.),\r\n- load the Dataset using Gluon's DataLoader, train a neural network ( Ex: MLP) with this transformed audio dataset,\r\n- perform a simple audio data related task such as sounds classification - 1 audio clip with 1 label( Multiclass sound classification problem).\r\n- have an end to end example for a sample Audio multi class classification task (Urban Sounds Classification)\r\n\r\n**Note** : This example uses AudioFolderDataset and applies transforms to extract features from audio file and does a classification task. Current design of the AudioFolderDataset is below:\r\nhttps://cwiki.apache.org/confluence/display/MXNET/Gluon+-+Audio\r\n\r\n\r\n## Checklist ##\r\n### Essentials ###\r\nPlease feel free to remove inapplicable items for your PR.\r\n- [x] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes)\r\n- [x] Changes are complete (i.e. I finished coding on this PR)\r\n- [x] All changes have test coverage:\r\n- Steps in the example can be followed to test the example\r\n- [x] Code is well-documented\r\n- [x] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change\r\n- [x] Example contributed\r\n\r\n\r\n\r\n## Comments ##\r\n- This feature allows to take first step in audio data related tasks and needs to be extended for more generic as well as advanced use cases \r\n   - Design [here](https://cwiki.apache.org/confluence/display/MXNET/Gluon+-+Audio)- Dev list discussion [here](https://lists.apache.org/thread.html/e2568b8b492fbeeafbe73a8abe9ca814e66d288977635c7a62cfa121@%3Cdev.mxnet.apache.org%3E)\r\n","created_at":"2018-11-20T01:57:09Z","updated_at":"2018-11-27T17:38:37Z","closed_at":null,"merged_at":null,"merge_commit_sha":"31cf46d67025173f90af28a9e080447a85fdbe42","assignee":null,"assignees":[],"requested_reviewers":[{"login":"szha","id":2626883,"node_id":"MDQ6VXNlcjI2MjY4ODM=","avatar_url":"https://avatars2.githubusercontent.com/u/2626883?v=4","gravatar_id":"","url":"https://api.github.com/users/szha","html_url":"https://github.com/szha","followers_url":"https://api.github.com/users/szha/followers","following_url":"https://api.github.com/users/szha/following{/other_user}","gists_url":"https://api.github.com/users/szha/gists{/gist_id}","starred_url":"https://api.github.com/users/szha/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/szha/subscriptions","organizations_url":"https://api.github.com/users/szha/orgs","repos_url":"https://api.github.com/users/szha/repos","events_url":"https://api.github.com/users/szha/events{/privacy}","received_events_url":"https://api.github.com/users/szha/received_events","type":"User","site_admin":false}],"requested_teams":[],"labels":[{"id":1018798522,"node_id":"MDU6TGFiZWwxMDE4Nzk4NTIy","url":"https://api.github.com/repos/apache/incubator-mxnet/labels/pr-awaiting-review","name":"pr-awaiting-review","color":"d93f0b","default":false}],"milestone":null,"commits_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/13325/commits","review_comments_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/13325/comments","review_comment_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments{/number}","comments_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/13325/comments","statuses_url":"https://api.github.com/repos/apache/incubator-mxnet/statuses/214d4baf259fe067bb7deb60349d31c85d1fa40d","head":{"label":"gaurav-gireesh:urbansounds","ref":"urbansounds","sha":"214d4baf259fe067bb7deb60349d31c85d1fa40d","user":{"login":"gaurav-gireesh","id":28286834,"node_id":"MDQ6VXNlcjI4Mjg2ODM0","avatar_url":"https://avatars1.githubusercontent.com/u/28286834?v=4","gravatar_id":"","url":"https://api.github.com/users/gaurav-gireesh","html_url":"https://github.com/gaurav-gireesh","followers_url":"https://api.github.com/users/gaurav-gireesh/followers","following_url":"https://api.github.com/users/gaurav-gireesh/following{/other_user}","gists_url":"https://api.github.com/users/gaurav-gireesh/gists{/gist_id}","starred_url":"https://api.github.com/users/gaurav-gireesh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gaurav-gireesh/subscriptions","organizations_url":"https://api.github.com/users/gaurav-gireesh/orgs","repos_url":"https://api.github.com/users/gaurav-gireesh/repos","events_url":"https://api.github.com/users/gaurav-gireesh/events{/privacy}","received_events_url":"https://api.github.com/users/gaurav-gireesh/received_events","type":"User","site_admin":false},"repo":{"id":148394563,"node_id":"MDEwOlJlcG9zaXRvcnkxNDgzOTQ1NjM=","name":"incubator-mxnet","full_name":"gaurav-gireesh/incubator-mxnet","private":false,"owner":{"login":"gaurav-gireesh","id":28286834,"node_id":"MDQ6VXNlcjI4Mjg2ODM0","avatar_url":"https://avatars1.githubusercontent.com/u/28286834?v=4","gravatar_id":"","url":"https://api.github.com/users/gaurav-gireesh","html_url":"https://github.com/gaurav-gireesh","followers_url":"https://api.github.com/users/gaurav-gireesh/followers","following_url":"https://api.github.com/users/gaurav-gireesh/following{/other_user}","gists_url":"https://api.github.com/users/gaurav-gireesh/gists{/gist_id}","starred_url":"https://api.github.com/users/gaurav-gireesh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gaurav-gireesh/subscriptions","organizations_url":"https://api.github.com/users/gaurav-gireesh/orgs","repos_url":"https://api.github.com/users/gaurav-gireesh/repos","events_url":"https://api.github.com/users/gaurav-gireesh/events{/privacy}","received_events_url":"https://api.github.com/users/gaurav-gireesh/received_events","type":"User","site_admin":false},"html_url":"https://github.com/gaurav-gireesh/incubator-mxnet","description":"Lightweight, 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