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"""config.py
"""
import os
import types
config = types.SimpleNamespace()
# Subdirectory name for saving trained weights and models
config.SAVE_DIR = 'saves'
# Subdirectory name for saving TensorBoard log files
config.LOG_DIR = 'logs'
# Default path to the ImageNet TFRecords dataset files
config.DEFAULT_DATASET_DIR = ''
# Number of parallel workers for generating training/validation data
config.NUM_DATA_WORKERS = 128
# Do image data augmentation or not
config.DATA_AUGMENTATION = True
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