{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np \nimport pandas as pd \nimport os\n# for dirname, _, filenames in os.walk('/kaggle/input'):\n#     for filename in filenames:\n#         print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pd.options.display.max_columns = 1000000\npd.options.display.max_rows = 1000000000\npd.options.display.max_colwidth = 14","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"os.listdir('/kaggle/input/rfcx-species-audio-detection')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(\"train false positive\")\ntrain_fp = pd.read_csv('/kaggle/input/rfcx-species-audio-detection/train_fp.csv')\nprint(train_fp.head(1))\nprint(\"---------------------------------------------------------------------------\")\nprint(\"sample\")\nsample = pd.read_csv('/kaggle/input/rfcx-species-audio-detection/sample_submission.csv')\nprint(sample.head(1))\nprint(\"---------------------------------------------------------------------------\")\nprint(\"train true positive\")\ntrain_tp = pd.read_csv('/kaggle/input/rfcx-species-audio-detection/train_tp.csv')\nprint(train_tp.head(1))\nprint(\"---------------------------------------------------------------------------\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sample.head(3)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sample.s0.unique()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_tp.head(2)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_fp.head(4)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_fp.recording_id.value_counts()['003b04435']","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"os.listdir('/kaggle/input/rfcx-species-audio-detection/tfrecords/train')[:4]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import tensorflow as tf","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for example in tf.python.python_io.tf_record_iterator(\"/kaggle/input/rfcx-species-audio-detection/tfrecords/train/16-148.tfrec\"):\n#     print(tf.train.Example.FromString(example))\n    jsonMessage = MessageToJson(tf.train.Example.FromString(example))\n    print(jsonMessage)\n    ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from google.protobuf.json_format import 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