# 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)