REVA-QCAV/load.py
2017-08-17 15:32:38 +02:00

48 lines
1.2 KiB
Python

import os
import random
import numpy as np
from PIL import Image
from functools import partial
from utils import resize_and_crop, get_square
def get_ids(dir):
"""Returns a list of the ids in the directory"""
return (f[:-4] for f in os.listdir(dir))
def split_ids(ids, n=2):
"""Split each id in n, creating n tuples (id, k) for each id"""
return ((id, i) for i in range(n) for id in ids)
def shuffle_ids(ids):
"""Returns a shuffle list od the ids"""
lst = list(ids)
random.shuffle(lst)
return lst
def to_cropped_imgs(ids, dir, suffix):
"""From a list of tuples, returns the correct cropped img (left or right)"""
for id, pos in ids:
im = resize_and_crop(Image.open(dir + id + suffix))
yield get_square(im, pos)
def get_imgs_and_masks():
"""From the list of ids, return the couples (img, mask)"""
dir_img = 'data/train/'
dir_mask = 'data/train_masks/'
ids = get_ids(dir_img)
ids = split_ids(ids)
ids = shuffle_ids(ids)
imgs = to_cropped_imgs(ids, dir_img, '.jpg')
# need to transform from HWC to CHW
imgs_switched = map(partial(np.transpose, axes=[2, 0, 1]), imgs)
masks = to_cropped_imgs(ids, dir_mask, '_mask.gif')
return zip(imgs_switched, masks)