-
Notifications
You must be signed in to change notification settings - Fork 5.1k
/
classification_dataset.py
56 lines (44 loc) · 1.69 KB
/
classification_dataset.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
# Copyright 2022 The MediaPipe Authors.
#
# Licensed 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.
"""Common classification dataset library."""
from typing import List, Optional, Tuple
import tensorflow as tf
from mediapipe.model_maker.python.core.data import dataset as ds
class ClassificationDataset(ds.Dataset):
"""Dataset Loader for classification models."""
def __init__(
self,
dataset: tf.data.Dataset,
label_names: List[str],
size: Optional[int] = None,
):
super().__init__(dataset, size)
self._label_names = label_names
@property
def num_classes(self: ds._DatasetT) -> int:
return len(self._label_names)
@property
def label_names(self: ds._DatasetT) -> List[str]:
return self._label_names
def split(self: ds._DatasetT,
fraction: float) -> Tuple[ds._DatasetT, ds._DatasetT]:
"""Splits dataset into two sub-datasets with the given fraction.
Primarily used for splitting the data set into training and testing sets.
Args:
fraction: float, demonstrates the fraction of the first returned
subdataset in the original data.
Returns:
The splitted two sub datasets.
"""
return self._split(fraction, self._label_names)