6fd1b02496
Changes name of folder from tensorflow to tflite-micro and updates docs to reference TensorFlow Lite Micro specifically instead of TensorFlow. Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
76 lines
2.8 KiB
Python
76 lines
2.8 KiB
Python
# Lint as: python3
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# coding=utf-8
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Split data into train, validation and test dataset according to person.
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That is, use some people's data as train, some other people's data as
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validation, and the rest ones' data as test. These data would be saved
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separately under "/person_split".
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It will generate new files with the following structure:
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├──person_split
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│ ├── test
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│ ├── train
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│ └──valid
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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import random
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from data_split import read_data
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from data_split import write_data
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def person_split(whole_data, train_names, valid_names, test_names):
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"""Split data by person."""
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random.seed(30)
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random.shuffle(whole_data)
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train_data = []
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valid_data = []
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test_data = []
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for idx, data in enumerate(whole_data): # pylint: disable=unused-variable
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if data["name"] in train_names:
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train_data.append(data)
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elif data["name"] in valid_names:
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valid_data.append(data)
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elif data["name"] in test_names:
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test_data.append(data)
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print("train_length:" + str(len(train_data)))
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print("valid_length:" + str(len(valid_data)))
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print("test_length:" + str(len(test_data)))
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return train_data, valid_data, test_data
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if __name__ == "__main__":
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data = read_data("./data/complete_data")
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train_names = [
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"hyw", "shiyun", "tangsy", "dengyl", "jiangyh", "xunkai", "negative3",
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"negative4", "negative5", "negative6"
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]
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valid_names = ["lsj", "pengxl", "negative2", "negative7"]
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test_names = ["liucx", "zhangxy", "negative1", "negative8"]
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train_data, valid_data, test_data = person_split(data, train_names,
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valid_names, test_names)
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if not os.path.exists("./person_split"):
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os.makedirs("./person_split")
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write_data(train_data, "./person_split/train")
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write_data(valid_data, "./person_split/valid")
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write_data(test_data, "./person_split/test")
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