/
preprocess.py
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/
preprocess.py
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# d
#
# 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.
# ============================================================================
"""pre process for 310 inference"""
import os
import argparse
import numpy as np
from src.dataset_test import TrainDataLoader
def parse(arg=None):
"""Define configuration of preprocess"""
parser = argparse.ArgumentParser()
parser.add_argument('--dataroot', type=str)
return parser.parse_args(arg)
def preprocess_data():
""" preprocess data """
testdataloader = TrainDataLoader(args.dataroot)
Names = []
for data in os.listdir(args.dataroot):
name = data.split(".")[0]
Names.append(name)
Names = sorted(Names)
i = 0
for data in testdataloader.dataset.create_dict_iterator():
data, data_org = data["data"], data["data_org"]
file_name = Names[i]
data_name = os.path.join("./preprocess_Data/data/", file_name + ".bin")
data_shape_name = os.path.join("./preprocess_Data/data_shape/", file_name + ".bin")
data.asnumpy().tofile(data_name)
data_shape = np.array([data_org.shape[1], data_org.shape[2]]).astype(np.int64)
data_shape.tofile(data_shape_name)
i += 1
if __name__ == "__main__":
args = parse()
preprocess_data()