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dataset_builder.py
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dataset_builder.py
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#!/usr/bin/env python
""" DatasetBuilder: aggregate utilities to build large images datasets"""
from __future__ import print_function
import os
from shutil import copy2
from scipy import ndimage, misc
import numpy as np
__author__ = "Amine BENDAHMANE (@AmineHorseman)"
__email__ = "bendahmane.amine@gmail.com"
__license__ = "GPL"
__date__ = "May 6nd, 2016"
class DatasetBuilder(object):
""" Aggregate utilities to build large datasets (renaming files, spliting categories,
creating labels, loading data...) """
merge_files_counter = 1
rename_files_counter = 1
flatten_images = []
labels = []
def __init__(self):
print("\nPreparing DatasetBuilder...")
@staticmethod
def check_folder_existance(folderpath, throw_error_if_no_folder=False, display_msg=True):
""" check if a folder exists.
If throw_error_if_no_folder = True and the folder does not exist:
the method will print an error message and stop the program,
Otherwise:
the method will create the folder
"""
if not os.path.exists(folderpath):
if throw_error_if_no_folder:
print("Error: folder '" + folderpath + "' does not exist")
exit()
else:
os.makedirs(folderpath)
if display_msg:
print("Target folder '", folderpath, "' does not exist...")
print(" >> Folder created")
@classmethod
def rename_files(cls, source_folder, target_folder, extensions=('.jpg', '.jpeg', '.png')):
""" list subfolders recursively and rename files according to
the following the pattern: 1.jpg, 2.jpg..."""
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# copy files and rename:
print("Renaming files '", source_folder, "' files...")
cls.rename_files_counter = 1
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.rename_files(source_folder + '/' + filename,
target_folder + '/' + filename,
extensions=extensions)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
copy2(source_folder + "/" + filename,
target_folder + "/" + str(cls.rename_files_counter))
cls.rename_files_counter += 1
else:
for extension in extensions:
if filename.endswith(extension):
copy2(source_folder + "/" + filename,
target_folder + "/" + str(cls.rename_files_counter) + extension)
cls.rename_files_counter += 1
@classmethod
def reshape_images(cls, source_folder, target_folder, height=128, width=128,
extensions=('.jpg', '.jpeg', '.png')):
""" copy images and reshape them"""
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# read images and reshape:
print("Resizing '", source_folder, "' images...")
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.reshape_images(source_folder + '/' + filename,
target_folder + '/' + filename,
height, width, extensions=extensions)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
copy2(source_folder + "/" + filename,
target_folder + "/" + filename)
image = ndimage.imread(target_folder + "/" + filename, mode="RGB")
image_resized = misc.imresize(image, (height, width))
misc.imsave(target_folder + "/" + filename, image_resized)
else:
for extension in extensions:
if filename.endswith(extension):
copy2(source_folder + "/" + filename,
target_folder + "/" + filename)
image = ndimage.imread(target_folder + "/" + filename, mode="RGB")
image_resized = misc.imresize(image, (height, width))
misc.imsave(target_folder + "/" + filename, image_resized)
@classmethod
def merge_folders(cls, source_folder, target_folder,
extensions=('.jpg', '.jpeg', '.png')):
""" merge images in separated folders in one single folder
The images will be renamed"""
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# copy files and rename:
print("Merging '", source_folder, "' files...")
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.merge_folders(source_folder + '/' + filename,
target_folder, extensions=extensions)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
copy2(source_folder + "/" + filename,
target_folder + "/" + str(cls.merge_files_counter))
cls.merge_files_counter += 1
else:
for extension in extensions:
if filename.endswith(extension):
copy2(source_folder + "/" + filename,
target_folder + "/" + str(cls.merge_files_counter) + extension)
cls.merge_files_counter += 1
@classmethod
def convert_to_grayscale(cls, source_folder, target_folder,
extensions=('.jpg', '.jpeg', '.png')):
""" convert images from RGB to Grayscale"""
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# read images and reshape:
print("Convert '", source_folder, "' images to grayscale...")
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.convert_to_grayscale(source_folder + '/' + filename,
target_folder + '/' + filename,
extensions=extensions)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
copy2(source_folder + "/" + filename,
target_folder + "/" + filename)
image = ndimage.imread(target_folder + "/" + filename, flatten=True)
misc.imsave(target_folder + "/" + filename, image)
else:
for extension in extensions:
if filename.endswith(extension):
copy2(source_folder + "/" + filename,
target_folder + "/" + filename)
image = ndimage.imread(target_folder + "/" + filename, flatten=True)
misc.imsave(target_folder + "/" + filename, image)
@classmethod
def convert_format(cls, source_folder, target_folder,
extensions=('.jpg', '.jpeg', '.png'), new_extension='.jpg'):
""" change images from one format to another (eg. change png files to jpeg) """
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# read images and reshape:
print("Change format of '", source_folder, "' files...")
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.convert_format(source_folder + '/' + filename,
target_folder + '/' + filename,
extensions=extensions, new_extension=new_extension)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
copy2(source_folder + "/" + filename,
target_folder + "/" + filename + new_extension)
image = ndimage.imread(target_folder + "/" + filename + new_extension)
misc.imsave(target_folder + "/" + filename + new_extension, image)
else:
for extension in extensions:
if filename.endswith(extension):
new_filename = os.path.splitext(filename)[0] + new_extension
copy2(source_folder + "/" + filename,
target_folder + "/" + new_filename)
image = ndimage.imread(target_folder + "/" + new_filename)
misc.imsave(target_folder + "/" + new_filename, image)
@classmethod
def convert_to_array(cls, source_folder, target_folder, create_labels_file=False,
extensions=('.jpg', '.jpeg', '.png')):
""" Read all images in subfolders and convert them to a single array """
# check source_folder and target_folder:
cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
cls.check_folder_existance(target_folder, display_msg=False)
if source_folder[-1] == "/":
source_folder = source_folder[:-1]
if target_folder[-1] == "/":
target_folder = target_folder[:-1]
# read images and concatenate:
print("Converting '", source_folder, "' images...")
for filename in os.listdir(source_folder):
if os.path.isdir(source_folder + '/' + filename):
cls.convert_to_array(source_folder + '/' + filename, target_folder,
create_labels_file=create_labels_file, extensions=extensions)
else:
if extensions == '' and os.path.splitext(filename)[1] == '':
image = ndimage.imread(source_folder + "/" + filename, mode="RGB")
cls.flatten_images.append(image[:,:,0] + image[:,:,1] + image[:,:,2])
if create_labels_file:
cls.labels.append(source_folder.replace('/', '_'))
else:
for extension in extensions:
if filename.endswith(extension):
image = ndimage.imread(source_folder + "/" + filename, mode="RGB")
cls.flatten_images.append(image[:,:,0] + image[:,:,1] + image[:,:,2])
if create_labels_file:
cls.labels.append(source_folder.replace('/', '_'))
@classmethod
def convert_to_single_file(cls, source_folder, target_folder, create_labels_file=False,
extensions=('.jpg', '.jpeg', '.png')):
""" Convert dataset images to a single file (array of images)
The algorithm generates labels automatically according to subfolders"""
# convert files in source_folder to data array and labels array:
print("Converting images to single file...")
cls.flatten_images = []
cls.labels = []
cls.convert_to_array(source_folder, target_folder, create_labels_file=create_labels_file,
extensions=extensions)
# convert string labels to numeric type:
if create_labels_file:
print("Converting Labels to numeric type...")
keys = list(set(cls.labels)) # unique list of labels
numeric_labels = dict(zip(keys, range(len(keys))))
for i in xrange(len(cls.labels)):
cls.labels[i] = numeric_labels[cls.labels[i]]
# save files:
print(" Saving...")
np.save(target_folder + '/data.npy', cls.flatten_images)
print(" > Images saved to: ", target_folder + '/data.npy')
if create_labels_file:
np.save(target_folder + '/labels.npy', cls.labels)
print(" > Labels saved to: ", target_folder + '/labels.npy')