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+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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+#
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+# Licensed under the Apache License, Version 2.0 (the "License");
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+# you may not use this file except in compliance with the License.
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+# You may obtain a copy of the License at
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+#
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+# http://www.apache.org/licenses/LICENSE-2.0
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+#
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+# Unless required by applicable law or agreed to in writing, software
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+# distributed under the License is distributed on an "AS IS" BASIS,
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+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+# See the License for the specific language governing permissions and
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+# limitations under the License.
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+
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+import warnings
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+
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+warnings.filterwarnings("ignore", category=DeprecationWarning)
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+
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+import os.path as osp
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+from pathlib import Path
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+from typing import List, Tuple, Union, Optional
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+import webbrowser
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+import numpy as np
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+from folium import folium, Map, LayerControl
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+from folium.raster_layers import TileLayer, ImageOverlay
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+from paddlers.transforms.functions import to_uint8
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+
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+try:
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+ from osgeo import gdal, osr
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+except:
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+ import gdal
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+ import osr
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+
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+CHINATILES = (
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+ "GeoQ China Community",
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+ "GeoQ China Street",
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+ "AMAP China",
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+ "TencentMap China",
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+ "BaiduMaps China", )
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+
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+
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+def map_display(mask_path: str,
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+ img_path: Optional[str]=None,
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+ band_list: Union[List[int], Tuple[int, ...], None]=None,
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+ save_path: Optional[str]=None,
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+ tiles: str="GeoQ China Community") -> folium.Map:
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+ """
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+ Show mask (and original image) on an online map.
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+
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+ Args:
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+ mask_path (str): Path of predicted or ground-truth masks.
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+ img_path (str|None, optional): Path of the original image. Defaults to None.
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+ band_list (list[int]|tuple[int]|None, optional):
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+ Bands to select from the original image for display (the band index starts from 1).
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+ If None, use all bands. Defaults to None.
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+ save_path (str, optional): Path of the .html file to save the visualization results.
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+ In Jupyter Notebook environments,
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+ leave `save_path` as None to display the result immediately in the notebook.
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+ Defaults to None.
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+ tiles (str): Map tileset to use. Due to boundary question,
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+ the map tileset provided by folium cannot be selected.
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+ * Only can choose from this list:
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+ - "GeoQ China Community", "GeoQ China Street" (from http://www.geoq.cn/)
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+ - "AMAP China" (from https://www.amap.com/)
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+ - "TencentMap China" (from https://map.qq.com/)
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+ - "BaiduMaps China" (from https://map.baidu.com/) {
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+ It is worked in some cases, but it is not recommended.
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+ }
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+
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+ Defaults to "GeoQ China Community".
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+
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+ These tileset have been corrected through the public algorithm on the Internet.
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+ * Please read the relevant terms of use carefully:
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+ - GeoQ [GISUNI] (http://geoq.cn/useragreement.html)
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+ - AMap [AutoNavi] (https://wap.amap.com/doc/serviceitem.html)
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+ - Tencent Map (https://ugc.map.qq.com/AppBox/Landlord/serveagreement.html)
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+ - Baidu Map (https://map.baidu.com/zt/client/service/index.html)
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+
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+ Returns:
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+ folium.Map: An example of folium map.
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+ """
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+
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+ if tiles not in CHINATILES:
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+ raise ValueError("The `tiles` must in {}, not {}.".format(CHINATILES,
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+ tiles))
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+ fmap = Map(
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+ tiles=tiles,
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+ min_zoom=1,
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+ max_zoom=24, )
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+ if img_path is not None:
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+ layer, _ = Raster(img_path, band_list).get_layer()
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+ layer.add_to(fmap)
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+ layer, center = Raster(mask_path).get_layer()
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+ layer.add_to(fmap)
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+ if center is not None:
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+ fmap.location = center
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+ fmap.fit_bounds(layer.bounds)
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+ LayerControl().add_to(fmap)
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+ if save_path:
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+ fmap.save(save_path)
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+ webbrowser.open(save_path)
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+ return fmap
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+
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+
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+class OpenAsEPSG4326Error(Exception):
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+ pass
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+
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+
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+class Raster:
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+ def __init__(
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+ self,
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+ path: str,
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+ band_list: Union[List[int], Tuple[int, ...], None]=None) -> None:
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+ self.src_data = Converter.open_as_WGS84(path)
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+ if self.src_data is None:
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+ raise OpenAsEPSG4326Error("Faild to open {} in EPSG:4326.".format(
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+ path))
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+ self.name = Path(path).stem
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+ self.set_bands(band_list)
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+ self._get_info()
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+
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+ def get_layer(self) -> ImageOverlay:
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+ layer = ImageOverlay(self._get_array(), self.wgs_range, name=self.name)
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+ return layer, self.wgs_center
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+
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+ def set_bands(self,
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+ band_list: Union[List[int], Tuple[int, ...], None]) -> None:
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+ self.bands = self.src_data.RasterCount
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+ if band_list is None:
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+ if self.bands == 3:
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+ band_list = [1, 2, 3]
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+ else:
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+ band_list = [1]
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+ band_list_lens = len(band_list)
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+ if band_list_lens not in (1, 3):
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+ raise ValueError("The lenght of band_list must be 1 or 3, not {}.".
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+ format(str(band_list_lens)))
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+ if max(band_list) > self.bands or min(band_list) < 1:
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+ raise ValueError("The range of band_list must within [1, {}].".
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+ format(str(self.bands)))
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+ self.band_list = band_list
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+
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+ def _get_info(self) -> None:
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+ self.width = self.src_data.RasterXSize
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+ self.height = self.src_data.RasterYSize
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+ self.geotf = self.src_data.GetGeoTransform()
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+ self.proj = self.src_data.GetProjection() # WGS84
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+ self.wgs_range = self._get_WGS84_range()
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+ self.wgs_center = self._get_WGS84_center()
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+
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+ def _get_WGS84_range(self) -> List[List[float]]:
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+ converter = Converter(self.proj, self.geotf)
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+ lat1, lon1 = converter.xy2latlon(self.height - 1, 0)
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+ lat2, lon2 = converter.xy2latlon(0, self.width - 1)
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+ return [[lon1, lat1], [lon2, lat2]]
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+
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+ def _get_WGS84_center(self) -> List[float]:
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+ clat = (self.wgs_range[0][0] + self.wgs_range[1][0]) / 2
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+ clon = (self.wgs_range[0][1] + self.wgs_range[1][1]) / 2
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+ return [clat, clon]
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+
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+ def _get_array(self) -> np.ndarray:
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+ band_array = []
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+ for b in self.band_list:
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+ band_i = self.src_data.GetRasterBand(b).ReadAsArray()
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+ band_array.append(band_i)
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+ ima = np.stack(band_array, axis=0)
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+ if self.bands == 1:
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+ # the type is complex means this is a SAR data
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+ if isinstance(type(ima[0, 0]), complex):
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+ ima = abs(ima)
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+ ima = ima.squeeze()
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+ else:
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+ ima = ima.transpose((1, 2, 0))
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+ ima = to_uint8(ima, True)
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+ return ima
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+
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+
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+class Converter:
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+ def __init__(self, proj: str, geotf: tuple) -> None:
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+ # source data
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+ self.source = osr.SpatialReference()
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+ self.source.ImportFromWkt(proj)
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+ self.geotf = geotf
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+ # target data
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+ self.target = osr.SpatialReference()
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+ self.target.ImportFromEPSG(4326)
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+
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+ @classmethod
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+ def open_as_WGS84(self, path: str) -> gdal.Dataset:
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+ if not osp.exists(path):
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+ raise FileNotFoundError("{} not found.".format(path))
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+ result = gdal.Warp("", path, dstSRS="EPSG:4326", format="VRT")
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+ return result
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+
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+ def xy2latlon(self, row: int, col: int) -> List[float]:
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+ px = self.geotf[0] + col * self.geotf[1] + row * self.geotf[2]
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+ py = self.geotf[3] + col * self.geotf[4] + row * self.geotf[5]
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+ ct = osr.CoordinateTransformation(self.source, self.target)
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+ coords = ct.TransformPoint(px, py)
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+ return coords[:2]
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