You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
70 lines
2.7 KiB
70 lines
2.7 KiB
# 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 codecs |
|
import cv2 |
|
import numpy as np |
|
import argparse |
|
import geojson |
|
from tqdm import tqdm |
|
from utils import Raster, save_geotiff, translate_vector, time_it |
|
|
|
|
|
def _gt_convert(x_geo, y_geo, geotf): |
|
a = np.array([[geotf[1], geotf[2]], [geotf[4], geotf[5]]]) |
|
b = np.array([x_geo - geotf[0], y_geo - geotf[3]]) |
|
return np.round(np.linalg.solve(a, b)).tolist() # 解一元二次方程 |
|
|
|
|
|
@time_it |
|
# TODO: update for vector2raster |
|
def convert_data(image_path, geojson_path): |
|
raster = Raster(image_path) |
|
tmp_img = np.zeros((raster.height, raster.width), dtype=np.int32) |
|
# vector to EPSG from raster |
|
temp_geojson_path = translate_vector(geojson_path, raster.proj) |
|
geo_reader = codecs.open(temp_geojson_path, "r", encoding="utf-8") |
|
feats = geojson.loads(geo_reader.read())["features"] # 所有图像块 |
|
geo_reader.close() |
|
for feat in tqdm(feats): |
|
geo = feat["geometry"] |
|
if geo["type"] == "Polygon": # 多边形 |
|
geo_points = geo["coordinates"][0] |
|
elif geo["type"] == "MultiPolygon": # 多面 |
|
geo_points = geo["coordinates"][0][0] |
|
else: |
|
raise TypeError( |
|
"Geometry type must be `Polygon` or `MultiPolygon`, not {}.". |
|
format(geo["type"])) |
|
xy_points = np.array([ |
|
_gt_convert(point[0], point[1], raster.geot) for point in geo_points |
|
]).astype(np.int32) |
|
# TODO: Label category |
|
cv2.fillPoly(tmp_img, [xy_points], 1) # 多边形填充 |
|
ext = "." + geojson_path.split(".")[-1] |
|
save_geotiff(tmp_img, |
|
geojson_path.replace(ext, ".tif"), raster.proj, raster.geot) |
|
os.remove(temp_geojson_path) |
|
|
|
|
|
parser = argparse.ArgumentParser() |
|
parser.add_argument("--raster_path", type=str, required=True, \ |
|
help="Path of original raster image.") |
|
parser.add_argument("--geotiff_path", type=str, required=True, \ |
|
help="Path to store the geotiff file (the coordinate system is WGS84).") |
|
|
|
if __name__ == "__main__": |
|
args = parser.parse_args() |
|
convert_data(args.raster_path, args.geotiff_path)
|
|
|