Source code for

# Copyright 2019 Huawei Technologies Co., Ltd
# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
Cifar100 convert tool for MindRecord.

from importlib import import_module
import os
import numpy as np

from mindspore import log as logger
from .cifar100 import Cifar100
from ..common.exceptions import PathNotExistsError
from ..filewriter import FileWriter
from ..shardutils import check_filename, SUCCESS
    cv2 = import_module("cv2")
except ModuleNotFoundError:
    cv2 = None

__all__ = ['Cifar100ToMR']

[docs]class Cifar100ToMR: """ Class is for transformation from cifar100 to MindRecord. Args: source (str): the cifar100 directory to be transformed. destination (str): the MindRecord file path to transform into. Raises: ValueError: If source or destination is invalid. """ def __init__(self, source, destination): check_filename(source) self.source = source files = os.listdir(self.source) train_data_flag = False test_data_flag = False for file in files: if file == "train": train_data_flag = True if file == "test": test_data_flag = True if not train_data_flag: raise PathNotExistsError("train") if not test_data_flag: raise PathNotExistsError("test") check_filename(destination) self.destination = destination self.writer = None
[docs] def transform(self, fields=None): """ Executes transformation from cifar100 to MindRecord. Args: fields (list[str]): list of index field, ie. ["fine_label", "coarse_label"]. Returns: SUCCESS/FAILED, whether successfully written into MindRecord. """ if fields and not isinstance(fields, list): raise ValueError("The parameter fields should be None or list") cifar100_data = Cifar100(self.source, False) cifar100_data.load_data() images = cifar100_data.images"train images: {}".format(images.shape)) fine_labels = cifar100_data.fine_labels"train images fine label: {}".format(fine_labels.shape)) coarse_labels = cifar100_data.coarse_labels"train images coarse label: {}".format(coarse_labels.shape)) test_images = cifar100_data.Test.images"test images: {}".format(test_images.shape)) test_fine_labels = cifar100_data.Test.fine_labels"test images fine label: {}".format(fine_labels.shape)) test_coarse_labels = cifar100_data.Test.coarse_labels"test images coarse label: {}".format(coarse_labels.shape)) data_list = _construct_raw_data(images, fine_labels, coarse_labels) test_data_list = _construct_raw_data(test_images, test_fine_labels, test_coarse_labels) if _generate_mindrecord(self.destination, data_list, fields, "img_train") != SUCCESS: return FAILED if _generate_mindrecord(self.destination + "_test", test_data_list, fields, "img_test") != SUCCESS: return FAILED return SUCCESS
def _construct_raw_data(images, fine_labels, coarse_labels): """ Construct raw data from cifar100 data. Args: images (list): image list from cifar100. fine_labels (list): fine label list from cifar100. coarse_labels (list): coarse label list from cifar100. Returns: SUCCESS/FAILED, whether successfully written into MindRecord. """ if not cv2: raise ModuleNotFoundError("opencv-python module not found, please use pip install it.") raw_data = [] for i, img in enumerate(images): fine_label =[i][0]) coarse_label =[i][0]) _, img = cv2.imencode(".jpeg", img[..., [2, 1, 0]]) row_data = {"id": int(i), "data": img.tobytes(), "fine_label": int(fine_label), "coarse_label": int(coarse_label)} raw_data.append(row_data) return raw_data def _generate_mindrecord(file_name, raw_data, fields, schema_desc): """ Generate MindRecord file from raw data. Args: file_name (str): File name of MindRecord File. fields (list[str]): Fields would be set as index which could not belong to blob fields and type could not be 'array' or 'bytes'. raw_data (dict): Dict of raw data. schema_desc (str): String of schema description. Returns: SUCCESS/FAILED, whether successfully written into MindRecord. """ schema = {"id": {"type": "int64"}, "fine_label": {"type": "int64"}, "coarse_label": {"type": "int64"}, "data": {"type": "bytes"}}"transformed MindRecord schema is: {}".format(schema)) writer = FileWriter(file_name, 1) writer.add_schema(schema, schema_desc) if fields and isinstance(fields, list): writer.add_index(fields) writer.write_raw_data(raw_data) return writer.commit()