-
Notifications
You must be signed in to change notification settings - Fork 0
/
visibility_old.py
157 lines (127 loc) · 5.49 KB
/
visibility_old.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
from functools import partial
# from sklearn.preprocessing import MinMaxScaler
from pathlib import Path
import geopandas as gpd
import numpy as np
import shapely.affinity as shaff
import shapely.geometry as shg
# from pathlib import Path
import visilibity as vis
from PIL import Image
from lgblkb_tools import logger, Folder
from lgblkb_tools.common.utils import run_cmd
from lgblkb_tools.gdal_datasets import DataSet
from lgblkb_tools.geometry import FieldPoly
# from lgblkb_tools.geometry.field_utils import generate_visible_poly
from lgblkb_tools.geometry.field_utils import epsilon
# from lgblkb_tools.visualize import Plotter
# from osgeo import gdal
from lgblkb_tools.visualize import Plotter
from scipy.ndimage import gaussian_filter, binary_erosion, binary_dilation
from skimage.filters import threshold_otsu
# from shapely.geometry import Polygon
def set_georeference(plain_geom, ds: DataSet, nrows=None):
transform = ds.transform
nrows = nrows or ds.array.shape[0]
scaled_geom = shaff.scale(plain_geom, xfact=transform[1], yfact=abs(transform[5]), origin=(0, 0))
out_geom = shaff.translate(scaled_geom, transform[0], transform[3] + transform[5] * nrows)
return out_geom
def vectorize(mask, filepath, ds: DataSet, nrows=None):
filepath = Path(filepath).with_suffix('.bmp')
assert mask.min() == 0
assert mask.max() == 1
Image.fromarray(np.uint8(mask) * 255, 'L').save(filepath)
vector_path = filepath.with_suffix('.geojson')
run_cmd(f'potrace -b geojson --alphamax 0 -u 100 -i -o {vector_path} {filepath}', debug=True)
image_geoms = gpd.GeoSeries(gpd.read_file(vector_path).geometry, crs=f"epsg:{ds.epsg}") \
.map(partial(set_georeference, ds=ds, nrows=nrows))
image_geoms.to_file(vector_path, driver='GeoJSON')
return image_geoms
def get_vis_env(polygon: FieldPoly):
if polygon.is_clockwise: polygon = polygon.reversed
vis_env = vis.Environment([polygon.vis_poly, *(x.vis_poly for x in polygon.holes)])
assert vis_env.is_valid(epsilon)
return vis_env
def makePoints(polygon):
x_arr, y_arr = polygon.exterior.coords.xy
points = []
for j in range(len(x_arr)):
points.append(vis.Point(x_arr[j], y_arr[j]))
return points
def getXPoints(points):
x_arr = []
for point in points:
x_arr.append(point.x())
return x_arr
def getYpoints(points):
y_arr = []
for point in points:
y_arr.append(point.y())
return y_arr
epsilon = 0.0000001
@logger.trace()
def main():
# FieldPoly.synthesize(50, hole_count=1).plot(c='red', alpha=0.3, lw=10) \
# .get_visible_poly(ThePoint([500, 500]).plot(c='k', lw=5)).plot()
# plt.show()
# return
# work_folder = data_folder['dauka_tutorial_1']
work_folder = Folder('/home/daulet/Desktop/zones')
original_path = work_folder['4-3-1_out.tiff']
logger.info("original_path: %s", original_path)
original_ds = DataSet(original_path)
orig_array = np.where(original_ds.array == -9999, np.nan, original_ds.array)
orig_array = np.where(np.isnan(orig_array), np.nanmin(orig_array), orig_array)
filtered_array = gaussian_filter(orig_array, sigma=1)
otsu_threshold = threshold_otsu(filtered_array)
mask = filtered_array > otsu_threshold
eroded_mask = binary_erosion(mask, iterations=5)
dilated_mask: np.ndarray = binary_dilation(eroded_mask, iterations=5).astype(int)
# output to tiff
# DataSet.from_array(dilated_mask, original_ds.geo_info) \
# .to_file(str(Path(original_path).with_name('output.tiff')), 'GTiff', no_data_value=0, dtype=gdal.GDT_Byte)
geoms: gpd.GeoSeries = vectorize(dilated_mask, work_folder['vectorized.geojson'], original_ds)
geom_extent = shg.Polygon(geoms.cascaded_union.envelope.boundary)
# FieldPoly().bounds_xy
# shg.Polygon(shg.Polygon().boundary)
# for geom in geoms:
# geom_extent = geom_extent.difference(geom)
# otirik_env = FieldPoly(geom_extent).plot(c='red')
# # res = otirik_env.get_visible_poly(ThePoint(otirik_env.geometry.centroid)).plot(c='k').plot()
# res = otirik_env.get_visible_poly(ThePoint([0, 0])).plot(c='k').plot()
# # logger.info("res:\n%s", res)
# # visible_zone.plot()
# plt.show()
print('!!!!!!!!!', geoms)
# for i in range(len(geoms)):
# x_arr, y_arr = geoms[i].exterior.coords.xy
# holes = [[0] * len(x_arr)] * len(geoms)
# for j in range(len(x_arr)):
# holes[i][j] = vis.Point(x_arr[j], y_arr[j])
# holes_x = holes[i][j].x()
vis_polygons = []
x_arr = []
y_arr = []
for i in range(len(geoms)):
points = makePoints(geoms[i])
vis_polygons.append(vis.Polygon(points))
x_arr.append(getXPoints(points))
y_arr.append(getYpoints(points))
print('Hole in standard form: ', vis_polygons[i].is_in_standard_form())
points = makePoints(geom_extent)
walls = vis.Polygon(points)
# vis_polygons.insert(0, walls)
env = vis.Environment([walls, vis_polygons[0]])
print('Walls in standard form : ', walls.is_in_standard_form())
print('Environment is valid : ', env.is_valid(epsilon))
observer = vis.Point(673000, 5665000)
observer.snap_to_boundary_of(env, epsilon)
print('!!!!', vis_polygons, '!!!!!!')
observer.snap_to_vertices_of(env, epsilon)
# isovist = vis.Visibility_Polygon(observer, env, epsilon)
plotter = Plotter()
plotter.add_images(mask, eroded_mask, dilated_mask)
plotter.plot(lbrtwh=(1e-3, 1e-3, 1 - 1e-3, 1 - 1e-3, 1e-3, 0)).show()
return
if __name__ == '__main__':
main()