Last active
June 4, 2018 06:52
-
-
Save DonghoonPark12/445163537ed94a7e600096a77c7054bd to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/bin/bash | |
# Copyright 2016 Google Inc. All Rights Reserved. | |
# | |
# 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. | |
# ============================================================================== | |
# Script to download and preprocess ImageNet Challenge 2012 | |
# training and validation data set. | |
# | |
# The final output of this script are sharded TFRecord files containing | |
# serialized Example protocol buffers. See build_imagenet_data.py for | |
# details of how the Example protocol buffers contain the ImageNet data. | |
# | |
# The final output of this script appears as such: | |
# | |
# data_dir/train-00000-of-01024 | |
# data_dir/train-00001-of-01024 | |
# ... | |
# data_dir/train-00127-of-01024 | |
# | |
# and | |
# | |
# data_dir/validation-00000-of-00128 | |
# data_dir/validation-00001-of-00128 | |
# ... | |
# data_dir/validation-00127-of-00128 | |
# | |
# Note that this script may take several hours to run to completion. The | |
# conversion of the ImageNet data to TFRecords alone takes 2-3 hours depending | |
# on the speed of your machine. Please be patient. | |
# | |
# **IMPORTANT** | |
# To download the raw images, the user must create an account with image-net.org | |
# and generate a username and access_key. The latter two are required for | |
# downloading the raw images. | |
# | |
# usage: | |
# ./download_and_preprocess_imagenet.sh [data-dir] | |
set -e | |
if [ -z "$1" ]; then | |
echo "usage download_and_preprocess_imagenet.sh [data dir]" | |
exit | |
fi | |
# Create the output and temporary directories. | |
DATA_DIR="${1%/}" | |
SCRATCH_DIR="${DATA_DIR}/raw-data/" | |
mkdir -p "${DATA_DIR}" | |
mkdir -p "${SCRATCH_DIR}" | |
WORK_DIR="$0.runfiles/inception/inception" | |
# Download the ImageNet data. | |
LABELS_FILE="${WORK_DIR}/data/imagenet_lsvrc_2015_synsets.txt" | |
DOWNLOAD_SCRIPT="${WORK_DIR}/data/download_imagenet.sh" | |
"${DOWNLOAD_SCRIPT}" "${SCRATCH_DIR}" "${LABELS_FILE}" | |
# Note the locations of the train and validation data. | |
TRAIN_DIRECTORY="${SCRATCH_DIR}train/" | |
VALIDATION_DIRECTORY="${SCRATCH_DIR}validation/" | |
# Preprocess the validation data by moving the images into the appropriate | |
# sub-directory based on the label (synset) of the image. | |
echo "Organizing the validation data into sub-directories." | |
PREPROCESS_VAL_SCRIPT="${WORK_DIR}/data/preprocess_imagenet_validation_data.py" | |
VAL_LABELS_FILE="${WORK_DIR}/data/imagenet_2012_validation_synset_labels.txt" | |
"${PREPROCESS_VAL_SCRIPT}" "${VALIDATION_DIRECTORY}" "${VAL_LABELS_FILE}" | |
# Convert the XML files for bounding box annotations into a single CSV. | |
echo "Extracting bounding box information from XML." | |
BOUNDING_BOX_SCRIPT="${WORK_DIR}/data/process_bounding_boxes.py" | |
BOUNDING_BOX_FILE="${SCRATCH_DIR}/imagenet_2012_bounding_boxes.csv" | |
BOUNDING_BOX_DIR="${SCRATCH_DIR}bounding_boxes/" | |
"${BOUNDING_BOX_SCRIPT}" "${BOUNDING_BOX_DIR}" "${LABELS_FILE}" \ | |
| sort >"${BOUNDING_BOX_FILE}" | |
echo "Finished downloading and preprocessing the ImageNet data." | |
# Build the TFRecords version of the ImageNet data. | |
BUILD_SCRIPT="${WORK_DIR}/build_imagenet_data" | |
OUTPUT_DIRECTORY="${DATA_DIR}" | |
IMAGENET_METADATA_FILE="${WORK_DIR}/data/imagenet_metadata.txt" | |
"${BUILD_SCRIPT}" \ | |
--train_directory="${TRAIN_DIRECTORY}" \ | |
--validation_directory="${VALIDATION_DIRECTORY}" \ | |
--output_directory="${OUTPUT_DIRECTORY}" \ | |
--imagenet_metadata_file="${IMAGENET_METADATA_FILE}" \ | |
--labels_file="${LABELS_FILE}" \ | |
--bounding_box_file="${BOUNDING_BOX_FILE}" |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment