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# Copyright (c) 2022 PaddlePaddle Authors. 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.
import os
import os.path as osp
import argparse
from math import ceil
from tqdm import tqdm
from utils import Raster, save_geotiff, time_it
def _calc_window_tf(geot, loc):
x, hr, r1, y, r2, vr = geot
nx, ny = loc
return (x + nx * hr, hr, r1, y + ny * vr, r2, vr)
@time_it
def split_data(image_path, mask_path, block_size, save_dir):
if not osp.exists(save_dir):
os.makedirs(save_dir)
os.makedirs(osp.join(save_dir, "images"))
if mask_path is not None:
os.makedirs(osp.join(save_dir, "masks"))
image_name, image_ext = image_path.replace("\\",
"/").split("/")[-1].split(".")
image = Raster(image_path)
mask = Raster(mask_path) if mask_path is not None else None
if mask is not None and (image.width != mask.width or
image.height != mask.height):
raise ValueError("image's shape must equal mask's shape.")
rows = ceil(image.height / block_size)
cols = ceil(image.width / block_size)
total_number = int(rows * cols)
with tqdm(total=total_number) as pbar:
for r in range(rows):
for c in range(cols):
loc_start = (c * block_size, r * block_size)
image_title = image.getArray(loc_start,
(block_size, block_size))
image_save_path = osp.join(save_dir, "images", (
image_name + "_" + str(r) + "_" + str(c) + "." + image_ext))
window_geotf = _calc_window_tf(image.geot, loc_start)
save_geotiff(image_title, image_save_path, image.proj,
window_geotf)
if mask is not None:
mask_title = mask.getArray(loc_start,
(block_size, block_size))
mask_save_path = osp.join(save_dir, "masks",
(image_name + "_" + str(r) + "_" +
str(c) + "." + image_ext))
save_geotiff(mask_title, mask_save_path, image.proj,
window_geotf)
pbar.update(1)
parser = argparse.ArgumentParser(description="input parameters")
parser.add_argument("--image_path", type=str, required=True, \
help="Path of input image.")
parser.add_argument("--mask_path", type=str, default=None, \
help="Path of input labels.")
parser.add_argument("--block_size", type=int, default=512, \
help="Size of image block. Default value is 512.")
parser.add_argument("--save_dir", type=str, default="dataset", \
help="Directory to save the results. Default value is `dataset`.")
if __name__ == "__main__":
args = parser.parse_args()
split_data(args.image_path, args.mask_path, args.block_size, args.save_dir)