in datasets/lsun_bedroom.py [0:0]
def read_images(lmdb_path, image_size):
env = lmdb.open(lmdb_path, map_size=1099511627776, max_readers=100, readonly=True)
with env.begin(write=False) as transaction:
cursor = transaction.cursor()
for _, webp_data in cursor:
img = Image.open(io.BytesIO(webp_data))
width, height = img.size
scale = image_size / min(width, height)
img = img.resize(
(int(round(scale * width)), int(round(scale * height))),
resample=Image.BOX,
)
arr = np.array(img)
h, w, _ = arr.shape
h_off = (h - image_size) // 2
w_off = (w - image_size) // 2
arr = arr[h_off : h_off + image_size, w_off : w_off + image_size]
yield arr