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data_augment.py
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data_augment.py
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import random
import imageio
import numpy as np
import glob
import os
from skimage import transform
def random_rotation(image_arr, msk_arr):
# pick a random degree
random_degree = random.uniform(-25, 25)
rotated_img = transform.rotate(image_arr, random_degree)
rotated_msk = transform.rotate(msk_arr, random_degree)
rotated_img = rotated_img * 255.0
rotated_img = rotated_img.astype(np.int8)
return rotated_img, rotated_msk
def vertical_flip(image_arr, msk_arr):
return np.flip(image_arr, 0), np.flip(msk_arr, 0)
def horizontal_flip(image_arr, msk_arr):
return np.flip(image_arr, 1), np.flip(msk_arr, 1)
def hor_vert_flip(image_arr, msk_arr):
ver_img = np.flip(image_arr, 0)
ver_msk = np.flip(msk_arr, 0)
ver_hor_img = np.flip(ver_img, 1)
ver_hor_msk = np.flip(ver_msk, 1)
return ver_hor_img, ver_hor_msk
def rotate_90(image_arr, msk_arr):
rotated_img = transform.rotate(image_arr, 90)
rotated_msk = transform.rotate(msk_arr, 90)
rotated_img = rotated_img * 255.0
rotated_img = rotated_img.astype(np.int8)
return rotated_img, rotated_msk
def rotate_180(image_arr, msk_arr):
rotated_img = transform.rotate(image_arr, 180)
rotated_msk = transform.rotate(msk_arr, 180)
rotated_img = rotated_img * 255.0
rotated_img = rotated_img.astype(np.int8)
return rotated_img, rotated_msk
def rotate_270(image_arr, msk_arr):
rotated_img = transform.rotate(image_arr, 270)
rotated_msk = transform.rotate(msk_arr, 270)
rotated_img = rotated_img * 255.0
rotated_img = rotated_img.astype(np.int8)
return rotated_img, rotated_msk
def get_files(folder_path):
# get all files
images = glob.glob(
os.path.join(folder_path, '*tif*')
)
return images
def get_img_arr(image_path):
img_split = image_path.split('\\')[-1]
img_name = img_split.replace('.tif', '')
msk_path = image_path.replace('.tif', '_gt.bmp')
# read image as an two dimensional array of pixels
image_to_transform = imageio.imread(image_path)
msk_to_transform = imageio.imread(msk_path)
return image_to_transform, msk_to_transform, img_name
def flip(data_dir):
"""
:param data_dir: directory locate data
:return: None
"""
# 0: represent vertical flip
# 1: represent horizontal flip
# 2: represent horizontal and vertical flip
flip_trans = {
'0': vertical_flip,
'1': horizontal_flip,
'2': hor_vert_flip
}
images = get_files(data_dir)
for image in images:
for key in flip_trans:
img2trans, msk2trans, img_name = get_img_arr(image)
img_transformed, msk_transformed = flip_trans[key](img2trans, msk2trans)
print('flip ' + img_name)
img_file_name = '{}/{}_{}.tif'.format(data_dir, img_name, key)
msk_file_name = '{}/{}_{}_gt.bmp'.format(data_dir, img_name, key)
imageio.imwrite(img_file_name, img_transformed)
imageio.imwrite(msk_file_name, msk_transformed)
def rotate(data_dir):
images = get_files(data_dir)
for image in images:
img2trans, msk2trans, img_name = get_img_arr(image)
img_transformed, msk_transformed = rotate_90(img2trans, msk2trans)
print('rotate ' + img_name)
img_file_name = '{}/{}_{}.tif'.format(data_dir, img_name, 'rotate_90')
msk_file_name = '{}/{}_{}_gt.bmp'.format(data_dir, img_name, 'rotate_90')
imageio.imwrite(img_file_name, img_transformed)
imageio.imwrite(msk_file_name, msk_transformed)
def apply_random_rotate(data_dir, num):
images = get_files(data_dir)
for image in images:
for i in range(num):
img2trans, msk2trans, img_name = get_img_arr(image)
img_transformed, msk_transformed = random_rotation(img2trans, msk2trans)
print('randomly rotate ' + img_name)
img_file_name = '{}/{}_{}.tif'.format(data_dir, img_name, 'random_rotate'+str(i))
msk_file_name = '{}/{}_{}_gt.bmp'.format(data_dir, img_name, 'random_rotate'+str(i))
imageio.imwrite(img_file_name, img_transformed)
imageio.imwrite(msk_file_name, msk_transformed)
def main():
data_dir = './contest_data/'
# do flip first
flip(data_dir)
# rotate 90 degrees
rotate(data_dir)
# do rotate randomly, generate 5 files per image
apply_random_rotate(data_dir, 5)
# images = get_files(data_dir)
if __name__ == '__main__':
main()