def findIntersect(inside_set):
if (len(inside_set)==0):
return [(0,0),(x_max,0),(x_max,y_max),(0,y_max),(0,0)]
elif (len(inside_set)==1):
#print "In 1"
p1=Polygon(inside_set[0])
return list(p1.exterior.coords)
elif (len(inside_set)==2):
#print "In 2"
p1=Polygon(inside_set[0])
p2=Polygon(inside_set[1])
#if (p1.intersection(p2).area !=0):
#print p1.intersection(p2).area
return list(p1.intersection(p2).exterior.coords)
#else:
# return ([])
else:
#print "In >2"
p1=Polygon(inside_set[0])
p2=Polygon(inside_set[1])
a=inside_set.pop(0)
b=inside_set.pop(0)
#if (p1.intersection(p2).area !=0):
#print p1.intersection(p2).area
#explain_validity(p1.intersection(p2))
inside_set.insert(0,list(p1.intersection(p2).exterior.coords))
return findIntersect(inside_set)
def main():
results = open('results.txt','w')
parser = argparse.ArgumentParser(description='Runs text detector on relevant images at window level')
parser.add_argument('classifier_file', help='Path to classifier CLF')
parser.add_argument('-l', '--limit', type=int, metavar='COUNT', required=False, help='Maximum number of images to use')
parser.add_argument('-r', '--random', action="store_true", default=False, required=False, help='Fetch images ordered randomly if limit is active')
args = parser.parse_args()
parameters["classifier_file"] = args.classifier_file
parameters["evaluate_windows"] = True
i = rigor.runner.Runner('text', parameters, limit=args.limit, random=args.random)
results.write("threshold\timageid\texpected\tdetected\n")
for cascade_threshold in (.5,):
parameters['cascade_threshold'] = cascade_threshold
for result in i.run():
image_id = result[0]
detected = result[1]
undetected = result[2]
expected_blob = Polygon()
for expected in result[3]:
expected_blob = expected_blob.union(Polygon(expected))
for dbox in detected:
box = Polygon(dbox)
intersection = expected_blob.intersection(box)
if intersection and (intersection.area / box.area) > parameters["minimum_percent_overlap"]:
results.write("{}\t{}\t1\t1\t\n".format(cascade_threshold,image_id))
else:
results.write("{}\t{}\t1\t0\t\n".format(cascade_threshold,image_id))
for dbox in undetected:
box = Polygon(dbox)
intersection = expected_blob.intersection(box)
if intersection and (intersection.area / box.area) > parameters["minimum_percent_overlap"]:
results.write("{}\t{}\t0\t1\t\n".format(cascade_threshold,image_id))
else:
results.write("{}\t{}\t0\t0\t\n".format(cascade_threshold,image_id))
def test_polygon_line():
'''
intersection between polygon and line
'''
#-------------------------------------------------
# inclusion
#-------------------------------------------------
poly = Polygon([(0,0),(0,1),(1,1),(1,0)])
line = LineString([(0,0), (0.5,0.5)])
iline = poly.intersection(line)
equal(np.sqrt(2)*0.5, iline.length)
a_equal(line, np.array(iline.coords))
#-------------------------------------------------
# partially
#-------------------------------------------------
poly = Polygon([(0,0),(0,1),(1,1),(1,0)])
line = LineString([(0.5,0.5),(1.5,1.5)])
iline = poly.intersection(line)
equal(np.sqrt(2)*0.5, iline.length)
a_equal(LineString([(0.5,0.5),(1,1)]), np.array(iline.coords))
#-------------------------------------------------
# not intersection
#-------------------------------------------------
poly = Polygon([(0,0),(0,1),(1,1),(1,0)])
line = LineString([(1,1),(2,2)])
iline = poly.intersection(line)
equal(0, iline.length)
def draw1dResults(self, ws1dNames, ws1dElevations, levees):
# print 1d water elevation
for pID in range(len(ws1dElevations)):
pID+=1
off_z = pID*self.dz
xmin = self.xmin[pID]
xmax = self.xmax[pID]
zmin = self.zmin[pID]
zmax = self.zmax[pID]
profilepoints = self.bottompoints[pID]
#legend
n = len(ws1dElevations[pID])
h = (n+1.0+(n-1)*0.5)*0.75*self.textheight_bandtitle
dh = 0.75*self.textheight_bandtitle
self.msp.add_line((xmin+dh, off_z+zmin+dh),(xmin+dh, off_z+zmin+h+dh), dxfattribs={'layer': 'frame'})
self.msp.add_line((xmin+self.off_band_x+dh, off_z+zmin+dh),(xmin+self.off_band_x+dh, off_z+zmin+h+dh), dxfattribs={'layer': 'frame'})
self.msp.add_line((xmin+dh, off_z+zmin+dh),(xmin+self.off_band_x+dh, off_z+zmin+dh), dxfattribs={'layer': 'frame'})
self.msp.add_line((xmin+dh, off_z+zmin+h+dh),(xmin+self.off_band_x+dh, off_z+zmin+h+dh), dxfattribs={'layer': 'frame'})
for wID in range(len(ws1dElevations[pID])):
wsElevation = ws1dElevations[pID][wID]
layerName = ws1dNames[wID]
layerColor = 2+wID
# legend
self.msp.add_line((xmin+dh+dh, off_z+zmin+h-(wID+1+wID*0.5)*dh+dh),(xmin+dh+h+dh, off_z+zmin+h-(wID+1+wID*0.5)*dh+dh), dxfattribs={'layer': layerName, 'color':layerColor})
text_M = self.msp.add_text(ws1dNames[wID] +" = %.{0}f m".format(self.dec)%wsElevation, dxfattribs={'height': 0.75*self.textheight_bandtitle})
text_M.set_pos((xmin+dh+h+dh+dh, off_z+zmin+h-(wID+1+wID*0.5)*dh+dh), align='MIDDLE_LEFT')
tup = tuple([(xmin-1.0,off_z+zmax*self.superelev)] + profilepoints + [(xmax+1.0,off_z+zmax*self.superelev)])
bottomLine = Polygon(tup)
wsLine = LineString([(xmin, off_z+wsElevation*self.superelev), (xmax, off_z+wsElevation*self.superelev)])
inters = bottomLine.intersection(wsLine)
if inters.geom_type == "LineString":
self.msp.add_line((inters.coords[:][0][0], off_z+wsElevation*self.superelev), (inters.coords[:][1][0], off_z+wsElevation*self.superelev), dxfattribs={'layer': layerName, 'color':layerColor})
if inters.geom_type == "MultiLineString":
for i in range(len(inters)):
ls = inters[i]
self.msp.add_line((ls.coords[:][0][0], off_z+wsElevation*self.superelev), (ls.coords[:][1][0], off_z+wsElevation*self.superelev), dxfattribs={'layer': layerName, 'color':layerColor})
# print levees
if pID in levees:
for lID in range(len(levees[pID])):
levee_x = levees[pID][lID][0]*xmax
levee_z = levees[pID][lID][1]
bottomLine = LineString(tup)
levee = LineString([(levee_x, off_z+zmin), (levee_x, off_z+zmax)])
inters = bottomLine.intersection(levee)
self.msp.add_line((levee_x, inters.y), (levee_x, off_z+levee_z*self.superelev), dxfattribs={'layer': 'levee', 'color':1})
def make_dsw_dict_ll2cs(self):
cs_obj = self.cs_obj
ll_obj = self.ll_obj
dsw_dict = dict() # {dst:[(s,w),(s,w),...],...}
for dst, (rlat,rlon) in enumerate(cs_obj.latlons):
#print dst
dst_xy_vertices, vor_obj = cs_obj.get_voronoi(dst)
dst_poly = Polygon(dst_xy_vertices)
idx1, idx2, idx3, idx4 = ll_obj.get_surround_idxs(rlat, rlon)
candidates = set([idx1, idx2, idx3, idx4])
if -1 in candidates: candidates.remove(-1)
used_srcs = set()
dsw_dict[dst] = list()
while len(candidates) > 0:
#print '\t', used_srcs
src = candidates.pop()
ll_vertices = ll_obj.get_voronoi(src)
src_xy_vertices = [latlon2xyp(lat,lon,rlat,rlon)[1] \
for lat,lon in ll_vertices]
src_poly = Polygon(src_xy_vertices)
ipoly = dst_poly.intersection(src_poly)
area_ratio = ipoly.area/dst_poly.area
if area_ratio > 1e-10:
dsw_dict[dst].append( (src, area_ratio) )
used_srcs.add(src)
nbrs = set(ll_obj.get_neighbors(src))
candidates.update(nbrs - used_srcs)
return dsw_dict
def nms_discard(self, proposal, accepted_detections, dataframe):
p_idx = proposal[0]
p_label = proposal[1].index[0]
p_xmin = dataframe.iloc[p_idx]['xmin']
p_xmax = dataframe.iloc[p_idx]['xmax']
p_ymin = dataframe.iloc[p_idx]['ymin']
p_ymax = dataframe.iloc[p_idx]['ymax']
p_poly = Polygon([(p_xmin,p_ymin), (p_xmax,p_ymin), (p_xmax,p_ymax), (p_xmin, p_ymax)])
for detection in accepted_detections:
detection = accepted_detections[detection]
d_idx = detection[0]
d_label = detection[1].index[0]
if d_label != p_label:
# No point checking if it isn't the same class of object
continue
else:
d_xmin = dataframe.iloc[d_idx]['xmin']
d_xmax = dataframe.iloc[d_idx]['xmax']
d_ymin = dataframe.iloc[d_idx]['ymin']
d_ymax = dataframe.iloc[d_idx]['ymax']
d_poly = Polygon([(d_xmin,d_ymin), (d_xmax,d_ymin), (d_xmax,d_ymax), (d_xmin, d_ymax)])
intersection = p_poly.intersection(d_poly)
union = p_poly.union(d_poly)
if intersection.area / union.area > 0.3:
return True
break
return False
def box3d_intersection(box_a, box_b):
"""
A simplified calculation of 3d bounding box intersection.
It is assumed that the bounding box is only rotated
around Z axis (yaw) from an axis-aligned box.
:param box_a, box_b: obstacle bounding boxes for comparison
:return: intersection volume (float)
"""
# height (Z) overlap
min_h_a = np.min(box_a[2])
max_h_a = np.max(box_a[2])
min_h_b = np.min(box_b[2])
max_h_b = np.max(box_b[2])
max_of_min = np.max([min_h_a, min_h_b])
min_of_max = np.min([max_h_a, max_h_b])
z_intersection = np.max([0, min_of_max - max_of_min])
if z_intersection == 0:
return 0.
# oriented XY overlap
xy_poly_a = Polygon(zip(*box_a[0:2, 0:4]))
xy_poly_b = Polygon(zip(*box_b[0:2, 0:4]))
xy_intersection = xy_poly_a.intersection(xy_poly_b).area
if xy_intersection == 0:
return 0.
return z_intersection * xy_intersection
class CircularAdapter:
def __init__(self, rotation, size, radius):
self._rotation = rotation
self._size = size
self._radius = radius
points = [(0, 0)]
count = max(2, math.ceil(self._size * 16 / 360))
angle = math.radians(self._rotation - self._size/2)
size = math.radians(self._size)
for i in range(count+1):
x = math.cos(angle + i/count * size) * self._radius
y = math.sin(angle + i/count * size) * self._radius
points.append((x, y))
self._shape = Polygon(points)
@property
def area(self):
return self._shape.area
def intersection(self, other):
result = self._shape.intersection(other._shape)
return CircularWrapper(result)
def union(self, other):
result = self._shape.union(other._shape)
return CircularWrapper(result)
def distance(self, other):
dist_a = (self._rotation - other._rotation) % 360
dist_b = (other._rotation - self._rotation) % 360
dist = min(dist_a, dist_b) - (self._size + other._size) / 2
return max(0, dist)
def partition(self):
partition_by_station_dict = dict()
population_by_station_dict = dict()
station_coordinates = []
for station in self.stations.values():
station_coordinates.append([station.lon, station.lat])
points = np.array(station_coordinates)
partitions = Voronoi(points)
regions, vertices = LoadEstimator.voronoi_finite_polygons_2d(partitions)
polygons = []
for region in regions:
vertices_coordinates = []
for vertice_index in region:
vertices_coordinates.append((vertices[vertice_index][0], vertices[vertice_index][1]))
vertices_coordinates.append(vertices_coordinates[0])
partition_polygon = Polygon(vertices_coordinates)
polygons.append(partition_polygon)
for station in self.stations.values():
if Point(station.lon, station.lat).within(partition_polygon):
partition_by_station_dict[str(station.id)] = partition_polygon.intersection(self.boundary)
population_of_region = self.population_of_region(partition_polygon)
self.root.info('Region of station %s has %s people', str(station.id), str(population_of_region))
population_by_station_dict[str(station.id)] = population_of_region
break
return partition_by_station_dict, population_by_station_dict
def iou_bbox_with_yaw(vol_a, box_a, vol_b, box_b):
"""
A simplified calculation of 3d bounding box intersection
over union. It is assumed that the bounding box is only rotated
around Z axis (yaw) from an axis-aligned box.
:param vol_a, vol_b: precalculated obstacle volumes for comparison
:param box_a, box_b: obstacle bounding boxes for comparison
:return: iou float, intersection volume float
"""
# height (Z) overlap
min_h_a = np.min(box_a[2])
max_h_a = np.max(box_a[2])
min_h_b = np.min(box_b[2])
max_h_b = np.max(box_b[2])
max_of_min = np.max([min_h_a, min_h_b])
min_of_max = np.min([max_h_a, max_h_b])
z_intersection = np.max([0, min_of_max - max_of_min])
if z_intersection == 0:
return 0., 0.
# oriented XY overlap
xy_poly_a = Polygon(zip(*box_a[0:2, 0:4]))
xy_poly_b = Polygon(zip(*box_b[0:2, 0:4]))
xy_intersection = xy_poly_a.intersection(xy_poly_b).area
if xy_intersection == 0:
return 0., 0.
intersection = z_intersection * xy_intersection
union = vol_a + vol_b - intersection
iou = intersection / union
return iou, intersection
def compare_location_results(expected, found):
true_positive = 0
false_positive = 0
false_negative = 0
ambiguous = 0
paired = [False]*len(found)
for e in expected:
p1=Polygon(reshape_list(e))
total_matched = 0
for idx,f in enumerate(found):
p2=Polygon(reshape_list(f))
try:
x = p1.intersection(p2)
if x.area/p1.area > 0.1:
paired[idx] = True
total_matched += 1
true_positive += 1
except:
pass # not sure what to do here
if total_matched == 0:
false_negative += 1
elif total_matched > 1:
ambiguous += 1
for idx in range(len(found)):
if not paired[idx]:
false_positive += 1
return {"tp":true_positive,"fp":false_positive,"fn":false_negative,"ambiguous":ambiguous}
def padded_extent_to_shp( rst1, rst2, npixels, crs, output_shapefile ): ''' convert the extents of 2 overlapping rasters to a shapefile with an expansion of the intersection of the rasters extents by npixels rst1: rasterio raster object rst2: rasterio raster object npixels: tuple of 4 (left(-),bottom(-),right(+),top(+)) number of pixels to expand in each direction. for 5 pixels in each direction it would look like this: (-5. -5. 5, 5) or just in the right and top directions like this: (0,0,5,5). crs: epsg code or proj4string defining the geospatial reference system output_shapefile: string full path to the newly created output shapefile ''' import rasterio, os, sys from shapely.geometry import Polygon # rst to pols resolution = rst1.res[0] ext1 = bounds_to_extent( rst1.bounds ) ext2 = bounds_to_extent( rst2.bounds ) pol1 = Polygon( ext1 ) pol2 = Polygon( ext2 ) isect_ext_pol = pol1.intersection( pol2 ) new_bounds = [ bound+(expand*resolution) for bound, expand in zip( isect_ext_pol.bounds, npixels ) ] new_ext = bounds_to_extent( new_bounds ) return extent_to_shapefile( new_ext, output_shapefile, crs )
def normalize_footprint(footprint: List[Tuple[float, float]]) -> MultiPolygon:
"""Split footprints which cross the anti-meridian
Most applications, including RasterFoundry, cannot handle a single polygon representation
of anti-meridian crossing footprint.
Normalizing footprints by splitting them over the anti-meridian fixes cases where
scenes appear to span all longitudes outside their actual footprint.
If a footprint covers the anti-meridian, the shape is shifted 360 degrees, split,
then the split section is moved back.
"""
intersects = intersects_antimeridian(footprint)
if not intersects:
return MultiPolygon([Polygon(footprint)])
else:
shifted_footprint = Polygon([shift_point(p, 0, Side.RIGHT, False, 360) for p in footprint])
left_hemisphere_mask = Polygon([(0, -90), (180, -90), (180, 90), (0, 90), (0, -90)])
left_split = shifted_footprint.intersection(left_hemisphere_mask)
right_split = Polygon([
shift_point((x, y), 180, Side.LEFT, True, -360)
for x, y
in shifted_footprint.difference(left_hemisphere_mask).exterior.coords
])
if left_split.area > 0 and right_split.area > 0:
return MultiPolygon([left_split, right_split])
elif left_split.area > 0:
return MultiPolygon([left_split])
elif right_split.area > 0:
return MultiPolygon([right_split])
else:
return MultiPolygon([])
def intersect_line_polygon_shapely(line, vertices):
"""
Intersect a line segment with a polygon.
INPUT:
- ``line`` -- list of two points
- ``vertices`` -- vertices of the polygon
OUTPUT:
Returns a numpy array of shape (2,).
"""
def in_line(p):
for q in line:
if abs(p[0] - q[0]) < 1e-5 and abs(p[1] - q[1]) < 1e-5:
return True
return False
s_polygon = ShapelyPolygon(vertices)
s_line = ShapelyLineString(line)
try:
coords = (array(p) for p in s_polygon.intersection(s_line).coords)
coords = [p for p in coords if not in_line(p)]
except NotImplementedError:
coords = []
return coords
def decompose_further(cell_node):
cell_polygon = Polygon(cell_node.polygon)
coords = get_coords(cell_polygon)
start_line = get_start_line(cell_polygon)
end_line = get_end_line(cell_polygon)
sorted_indices = sort_indices(coords, start_line)
trap_nodes = []
for index in sorted_indices:
point = Point(coords[index])
box = start_line.union(point).envelope
new_polygon = box.intersection(cell_polygon)
if isinstance(new_polygon, Polygon):
trap_node = TrapNode(new_polygon, parent=cell_node)
cell_node.add_child(trap_node)
trap_nodes.append(trap_node)
elif isinstance(new_polygon, GeometryCollection) or isinstance(new_polygon, MultiPolygon):
for item in new_polygon:
if isinstance(item, Polygon):
trap_node = TrapNode(item, parent=cell_node)
cell_node.add_child(trap_node)
trap_nodes.append(trap_node)
remainder_box = end_line.union(point).envelope
cell_polygon = cell_polygon.intersection(remainder_box)
return trap_nodes
def get_intersection(coords):
"""Given an input list of coordinates, find the intersection
section of corner coordinates. Returns geojson of the
interesection polygon.
"""
ipoly = None
for coord in coords:
if ipoly is None:
ipoly = Polygon(coord)
else:
tmp = Polygon(coord)
ipoly = ipoly.intersection(tmp)
# close the polygon loop by adding the first coordinate again
first_x = ipoly.exterior.coords.xy[0][0]
first_y = ipoly.exterior.coords.xy[1][0]
ipoly.exterior.coords.xy[0].append(first_x)
ipoly.exterior.coords.xy[1].append(first_y)
inter_coords = zip(
ipoly.exterior.coords.xy[0], ipoly.exterior.coords.xy[1])
inter_gj = {"geometry":
{"coordinates": [inter_coords],
"type": "Polygon"},
"properties": {}, "type": "Feature"}
return inter_gj, inter_coords
def poly(polygon_, bm=None, name="Polygon"):
"""
flattens polygons with holes to a mesh with only faces
"""
# bmesh management
nolink = False
if bm == None:
bm = bmesh.new()
else:
nolink = True
if len(polygon_.interiors) > 0:
# find area between inner rings
inner = polygon_.interiors[0]
for i in range(1, len(polygon_.interiors)):
inner = MultiPolygon([Polygon(inner),Polygon(polygon_.interiors[i])])
ch = inner.convex_hull
bridge = ch.difference(inner)
coords(bridge.exterior.coords, "FACE", bm)
inner = ch.exterior
# create two sides around all the interiors
pb = polygon_.bounds
triangle = Polygon((pb[:2],pb[2:],(pb[0],pb[3])))
donut = Polygon(polygon_.exterior.coords, [inner.coords])
half1 = donut.intersection(triangle)
half2 = donut.difference(triangle)
coords(half1.exterior.coords, "FACE", bm)
coords(half2.exterior.coords, "FACE", bm)
else:
coords(polygon_.exterior.coords, "FACE", bm)
if not nolink:
link(bm, name)
def compute_voronoi(keypoints, intersection=None, geometry=False, s=30): # ADDED
"""
Creates a voronoi diagram for all edges in a graph, and assigns a given
weight to each edge. This is based around voronoi polygons generated
by scipy's voronoi method, to determine if an image has significant coverage.
Parameters
----------
graph : object
A networkx graph object
clean_keys : list
Of strings used to apply masks to omit correspondences
s : int
Offset for the corners of the image
"""
vor_keypoints = []
keypoints.apply(lambda x: vor_keypoints.append((x['x'], x['y'])), axis = 1)
if intersection is None:
keypoint_bounds = Polygon(vor_keypoints).bounds
intersection = shapely.geometry.box(keypoint_bounds[0], keypoint_bounds[1],
keypoint_bounds[2], keypoint_bounds[3])
scaled_coords = np.array(scale(intersection, s, s).exterior.coords)
vor_keypoints = np.vstack((vor_keypoints, scaled_coords))
vor = Voronoi(vor_keypoints)
# Might move the code below to its own method depending on feedback
if geometry:
voronoi_df = gpd.GeoDataFrame(data = keypoints, columns=['x', 'y', 'weight', 'geometry'])
else:
voronoi_df = gpd.GeoDataFrame(data = keypoints, columns=['x', 'y', 'weight'])
i = 0
vor_points = np.asarray(vor.points)
for region in vor.regions:
region_point = vor_points[np.argwhere(vor.point_region==i)]
if not -1 in region:
polygon_points = [vor.vertices[i] for i in region]
if len(polygon_points) != 0:
polygon = Polygon(polygon_points)
intersection_poly = polygon.intersection(intersection)
voronoi_df.loc[(voronoi_df["x"] == region_point[0][0][0]) &
(voronoi_df["y"] == region_point[0][0][1]),
'weight'] = intersection_poly.area
if geometry:
voronoi_df.loc[(voronoi_df["x"] == region_point[0][0][0]) &
(voronoi_df["y"] == region_point[0][0][1]),
'geometry'] = intersection_poly
i += 1
return voronoi_df
def findIntersect(inside_set):
if (len(inside_set)==0):
return [(0,0),(x_max,0),(x_max,y_max),(0,y_max),(0,0)]
elif (len(inside_set)==1):
p1=Polygon(inside_set[0])
return list(p1.exterior.coords)
elif (len(inside_set)==2):
p1=Polygon(inside_set[0])
p2=Polygon(inside_set[1])
return list(p1.intersection(p2).exterior.coords)
else:
p1=Polygon(inside_set[0])
p2=Polygon(inside_set[1])
a=inside_set.pop(0)
b=inside_set.pop(0)
inside_set.insert(0,list(p1.intersection(p2).exterior.coords))
return findIntersect(inside_set)
def extract(mergedPopulationFile, mappedSiteFile, intersectionFile):
PopulationXML = ET.ElementTree(file=mergedPopulationFile)
EvacuationXML = ET.ElementTree(file=mappedSiteFile)
PopRoot = PopulationXML.getroot()
EvaRoot = EvacuationXML.getroot()
Schnittmenge = []
for evaArea in EvaRoot.findall("./poly[0]"):
koordinatenStr = evaArea.attrib["shape"]
koordinatenList = [tuple(map(float, x.split(',')))
for x in koordinatenStr.split()]
evacuationArea = Polygon(koordinatenList)
for PopArea in PopRoot.findall("./poly"):
koordinatenStr = PopArea.attrib["shape"]
koordinatenList = [tuple(map(float, x.split(',')))
for x in koordinatenStr.split()]
Gemeinde = Polygon(koordinatenList)
if Gemeinde.intersection(evacuationArea):
for Inhab in PopArea.findall("./param"):
if Inhab.attrib["key"] == "INHABITANTS":
Einwohner = int((Inhab.attrib["value"]))
Einwohner *= Gemeinde.intersection(
evacuationArea).area / Gemeinde.area
Einwohner = str(Einwohner)
Schnittmenge.append(
(Gemeinde.intersection(evacuationArea), Einwohner))
print("merge!")
root = ET.Element('additional')
ET.ElementTree(root)
i = 1
for G in Schnittmenge:
poly = ET.SubElement(root, 'poly')
exterior = G[0].exterior.coords
OutExterior = ''
for elem in exterior:
OutExterior += str(elem[0]) + "," + str(elem[1]) + " "
identity = "Schnittflache" + str(i)
poly.attrib = {
"id": identity, "shape": OutExterior, "inhabitants": G[1]}
i += 1
outstr = minidom.parseString(ET.tostring(root)).toprettyxml(indent=" ")
with open(intersectionFile, 'w') as out:
out.write(outstr)
def quarter_polygon(geom_poly):
#https://pcjericks.github.io/py-gdalogr-cookbook/geometry.html#quarter-polygon-and-create-centroids
(min_x, min_y, max_x, max_y) = geom_poly.bounds
'''
coord0----coord1----coord2
| | |
coord3----coord4----coord5
| | |
coord6----coord7----coord8
'''
coord0 = min_x, max_y
coord1 = min_x+(max_x-min_x)/2, max_y
coord2 = max_x, max_y
coord3 = min_x, min_y+(max_y-min_y)/2
coord4 = min_x+(max_x-min_x)/2, min_y+(max_y-min_y)/2
coord5 = max_x, min_y+(max_y-min_y)/2
coord6 = min_x, min_y
coord7 = min_x+(max_x-min_x)/2, min_y
coord8 = max_x, min_y
polyTopLeft = Polygon([coord0,coord1,coord4,coord3,coord0])
polyTopRight = Polygon([coord1,coord2,coord5,coord4,coord1])
polyBottomLeft = Polygon([coord3,coord4,coord7,coord6,coord3])
polyBottomRight = Polygon([coord4,coord5,coord8,coord7,coord4])
quarterPolyTopLeft = polyTopLeft.intersection(geom_poly)
quarterPolyTopRight = polyTopRight.intersection(geom_poly)
quarterPolyBottomLeft = polyBottomLeft.intersection(geom_poly)
quarterPolyBottomRight = polyBottomRight.intersection(geom_poly)
multipolys = [quarterPolyTopLeft, quarterPolyTopRight, quarterPolyBottomLeft, quarterPolyBottomRight]
polys = []
for geom in multipolys:
if geom.geom_type in ['MultiPolygon', 'GeometryCollection'] :
for geom_part in geom:
if geom_part.geom_type == 'Polygon':
polys.append(geom_part)
else:
polys.append(geom)
return polys
def main():
results = open("results.txt", "w")
parser = argparse.ArgumentParser(description="Runs text detector on relevant images")
parser.add_argument("classifier_file", help="Path to classifier CLF")
parser.add_argument(
"-l", "--limit", type=int, metavar="COUNT", required=False, help="Maximum number of images to use"
)
parser.add_argument(
"-r",
"--random",
action="store_true",
default=False,
required=False,
help="Fetch images ordered randomly if limit is active",
)
args = parser.parse_args()
parameters["classifier_file"] = args.classifier_file
# database_mapper = DatabaseMapper(Database.instance()) # unused!?
results.write("threshold\texpected\tdetected\texpected_box\tdetected_box\n")
# for cascade_threshold in (.1,.2,.3,.4,.5,.6,.7,.8,.9):
for cascade_threshold in (0.5, 0.6):
parameters["cascade_threshold"] = cascade_threshold
i = rigor.runner.Runner("text", parameters, limit=args.limit, random=args.random)
for result in i.run():
detected = result[1]
expected = result[2]
for ebox in expected:
expected_box = Polygon(ebox)
closest_detected = None
closest_intersection = None
closest_distance = None
# find the closest/most overlapping from detected
for dbox in detected:
detected_box = Polygon(dbox)
intersection = detected_box.intersection(expected_box)
if intersection:
distance = detected_box.centroid.distance(expected_box.centroid)
if distance < closest_distance or not closest_distance:
closest_detected = dbox
closest_intersection = intersection
closest_distance = detected_box.centroid.distance(expected_box.centroid)
# if found, print out as hit, remove from expected and detected
if closest_detected:
results.write(
"{}\t1\t1\t{}\t{}\n".format(cascade_threshold, expected_box, Polygon(closest_detected))
)
detected.remove(closest_detected)
# if not found, print out as false negative
else:
results.write("{}\t1\t0\t{}\t{}\n".format(cascade_threshold, expected_box, None))
for bbox in detected:
# detected should be pruned by now, so these are all false positives
results.write("{}\t0\t1\t{}\t{}\n".format(cascade_threshold, None, Polygon(bbox)))
def overlaps(points1, points2):
print 'points1',points1
print 'points2',points2
from shapely.geometry import Polygon
overlap_area = 0
polygon1 = Polygon(points1)
polygon2 = Polygon(points2)
overlap_area = polygon1.intersection(polygon2).area
print "overlap: ", overlap_area
print 'epsilon ', epsilon
return overlap_area > epsilon
def calcCurveErr(workspace,poly,mean,sigma,level):
# see: http://toblerity.org/shapely/manual.html
boundaryestimate = getLevelSet (workspace, mean, level)
# GroundTruth = np.vstack((poly,poly[0]))
GroundTruth=Polygon(GroundTruth)
boundaryestimate=Polygon(boundaryestimate)
mislabeled=boundaryestimate.symmetric_difference(GroundTruth) # mislabeled data ()
boundaryestimate.difference(GroundTruth) #mislabeled as tumor--extra that would be removed
GroundTruth.difference(boundaryestimate) # mislbaled as not-tumor--would be missed and should be cut out
correct=boundaryestimate.intersection(GroundTruth) #correctly labeled as tumor
return correct.area, mislabeled.area
def getIntersection(self,polygonA,B,R,plot=False):
if not SHAPELY:
sys.exit("unable to compute intersections without shapely package")
if(len(B) < 3):
return polygonA
RB = (B*R)
polygonB = Polygon([(RB[i,0],RB[i,2]) for i in range(4)])
intersection = polygonA-polygonB.intersection(polygonA)
if(plot):
plotIntersections(polygonA,polygonB,intersection)
return intersection
def get_useful_building_list(community_border_list, building_border):
# community_border_list 转换为 polygon 的对象
tmp = []
for i in community_border_list:
tmp.append([i[0],i[1]])
community_polygon_obj = Polygon(tmp)
# =============
center_lng = list(community_polygon_obj.centroid.coords)[0][0]
center_lat = list(community_polygon_obj.centroid.coords)[0][1]
tmp_building_border = building_border[(building_border['point_lat']<center_lat+0.02)&
(building_border['point_lat']>center_lat-0.02)&
(building_border['point_lng']<center_lng+0.02)&
(building_border['point_lng']>center_lng-0.02)]
# =============
useful_building_list = []
# len_buildings = len(tmp_building_border)
num = 0
building_coverage_area = 0
building_plot_area = 0
for index,row in tmp_building_border.iterrows():
num += 1
# print (str(num)+'/'+str(len_buildings))
p_list = row[3]
p_floor = row[1]
building_polygon_obj = Polygon(p_list)
point_lng = list(building_polygon_obj.centroid.coords)[0][0]
point_lat = list(building_polygon_obj.centroid.coords)[0][1]
p_point = Point([point_lng,point_lat])
# 建筑物中心点落在小区内，同时建筑物在小区内的面积占建筑物面积的百分之五十以上的，记录下来
try:
if community_polygon_obj.contains(p_point) and community_polygon_obj.intersection(building_polygon_obj).area / building_polygon_obj.area > 0.5:
useful_building_list.append([p_floor,p_list])
building_coverage_area += building_polygon_obj.area
building_plot_area += building_polygon_obj.area * p_floor
except TopologicalError:
pass
# 小区建筑覆盖率低于 0.05 的直接排除
# plot ratio
# coverage ratio
coverage_ratio = building_coverage_area / community_polygon_obj.area
plot_ratio = building_plot_area / community_polygon_obj.area
if coverage_ratio < 0.1 or len(useful_building_list) < 2:
useful_building_list = []
elif plot_ratio < 1:
if len(useful_building_list) < 20:
useful_building_list = []
return coverage_ratio, plot_ratio, useful_building_list
def ploy_overlap(gt, pred):
gt_pts = [(gt[i], gt[i + 1]) for i in range(0, len(gt), 2)]
gt_poly = Polygon(gt_pts)
gt_area = gt_poly.area
pred_pts = [(pred[i], pred[i + 1]) for i in range(0, len(pred), 2)]
pred_poly = Polygon(pred_pts)
pred_area = pred_poly.area
intersection = gt_poly.intersection(pred_poly).area
iou = intersection / (gt_area + pred_area - intersection)
if math.isnan(iou):
iou = 0
return iou
def estimate_object_by_countor(self, contour):
if type(contour) is bool:
return
area = cv2.contourArea(contour)
current_rect = cv2.minAreaRect(contour)
current_box = cv2.cv.BoxPoints(current_rect)
(vx, vy), (x, y), angle = current_rect
prvs_rect = cv2.minAreaRect(self.tracking_data_list[0].get('contour'))
prvs_box = cv2.cv.BoxPoints(prvs_rect)
p1 = Polygon(prvs_box)
p2 = Polygon(current_box)
overlap_ratio = p1.intersection(p2).area/(p1.area + p2.area - p1.intersection(p2).area)
image_ratio = (x * y)/(self.frame_width*self.frame_height)
if self.debug:
print('area: %d, angle: %f, y/x: %f, overlap_ratio: %f'%(area, abs(angle), float(y)/float(x), overlap_ratio))
if (area > 600 and image_ratio < 0.9):
return True
else:
return False
def find_free_position(self, polygon, number=10, step=5):
'''
Checks for collisions with self.conflict_area and in case returns
nearest x, y coord-tuple (minx, miny) where the given polygon does not
collide with self.conflict_area. Only tries to move polygon a certain
times and returns None if no free position could be found.
:param polygon: :class:`shapely.geometry.Polygon`
:param number: the number of movements as int or float
:param step: int or float specifying the step which the polygon is moved
at each iteration
'''
number += 1
x, y = polygon.bounds[:2]
# list containing all "visited" bounds
prev_bounds = []
shifts = ((step, 0), (0, step), (-step, 0), (0, -step))
for _ in xrange(number):
minx, miny, maxx, maxy = polygon.bounds
# only shift if cur area does not collide with self.area
# and is within visual map
if (
polygon.within(self.map_area)
and polygon.intersection(self.conflict_area).area == 0
):
return x, y
cur_area = polygon.intersection(self.conflict_area).area
bestdx = bestdy = 0
best_polygon = polygon
#: shift polygon in all directions and search for minimum intersection
for dx, dy in shifts:
coords = utils.translate_coords(polygon.exterior.coords, dx, dy)
shifted = Polygon(tuple(coords))
minx, miny, maxx, maxy = shifted.bounds
# position already "visited" or not within visual map
if shifted.bounds in prev_bounds or not shifted.within(self.map_area):
continue
shifted_area = shifted.intersection(self.conflict_area).area
if shifted_area <= cur_area:
best_polygon = shifted
cur_area = shifted_area
bestdx, bestdy = dx, dy
polygon = best_polygon
x += bestdx
y += bestdy
prev_bounds.append(polygon.bounds)
def localizationAccuracy(truth, pred):
truth = Polygon(truth)
pred = Polygon(pred)
inter = truth.intersection(pred)
union = truth.union(pred)
lr = inter.area / union.area
print ''
print 'tr points -> {0}'.format(truth)
print 'pr points -> {0}'.format(pred)
print ''
print 'inter {0}'.format(inter.area)
print 'union {0}'.format(union.area)
print 'IR {0}'.format(lr)
print ''
return lr
poly1 = Polygon(a).convex_hull #python四边形对象，会自动计算四个点，最后四个点顺序为：左上 左下 右下 右上 左上
print(Polygon(a).convex_hull) #可以打印看看是不是这样子
line2=[923,308,758,342,741,262,907,228]
b=np.array(line2).reshape(4, 2)
poly2 = Polygon(b).convex_hull
print(Polygon(b).convex_hull)
union_poly = np.concatenate((a,b)) #合并两个box坐标，变为8*2
#print(union_poly)
print(MultiPoint(union_poly).convex_hull) #包含两四边形最小的多边形点
if not poly1.intersects(poly2): #如果两四边形不相交
iou = 0
else:
try:
inter_area = poly1.intersection(poly2).area #相交面积
print(inter_area)
#union_area = poly1.area + poly2.area - inter_area
union_area = MultiPoint(union_poly).convex_hull.area
print(union_area)
if union_area == 0:
iou= 0
#iou = float(inter_area) / (union_area-inter_area) #错了
iou=float(inter_area) / union_area
# iou=float(inter_area) /(poly1.area+poly2.area-inter_area)
# 源码中给出了两种IOU计算方式，第一种计算的是: 交集部分/包含两个四边形最小多边形的面积
# 第二种： 交集 / 并集（常见矩形框IOU计算方式）
except shapely.geos.TopologicalError:
print('shapely.geos.TopologicalError occured, iou set to 0')
iou = 0
Line((width + height * 1j) * px_to_cm / 2,
-(width - height * 1j) * px_to_cm / 2)
]
bounding_box = Polygon([[p.start.real, p.start.imag] for p in bounds_lines])
for element in tiling.elements:
points = [element.A, element.B, element.C, element.D]
points = [point * scale_factor for point in points]
center_point = average(points)
new_points = [
margins * point + (1 - margins) * center_point for point in points
]
element_poly = Polygon([[p.real, p.imag] for p in new_points])
test_shape = bounding_box.intersection(element_poly)
if test_shape.is_empty:
continue
x, y = test_shape.exterior.coords.xy
new_points = [x[i] + y[i] * 1j for i in range(len(x))]
path_string += "M {} {}".format(new_points[0].real, new_points[0].imag)
for point in new_points[1:] + new_points[:1]:
path_string += "L {} {}".format(point.real, point.imag)
margins = 1
x_min = width / 2 + margins
y_min = -height * 2 + margins
y_max = y_min + height * 2 + margins * 4
def project_extents(extents, src_proj, dest_proj, tol=1e-6):
x1, y1, x2, y2 = extents
if (isinstance(src_proj, ccrs.PlateCarree) and
not isinstance(dest_proj, ccrs.PlateCarree) and
src_proj.proj4_params['lon_0'] != 0):
xoffset = src_proj.proj4_params['lon_0']
x1 = x1 - xoffset
x2 = x2 - xoffset
src_proj = ccrs.PlateCarree()
# Limit latitudes
cy1, cy2 = src_proj.y_limits
if y1 < cy1: y1 = cy1
if y2 > cy2: y2 = cy2
# Offset with tolerances
x1 += tol
x2 -= tol
y1 += tol
y2 -= tol
# Wrap longitudes
cx1, cx2 = src_proj.x_limits
if isinstance(src_proj, ccrs._CylindricalProjection):
lons = wrap_lons(np.linspace(x1, x2, 10000), -180., 360.)
x1, x2 = lons.min(), lons.max()
else:
if x1 < cx1: x1 = cx1
if x2 > cx2: x2 = cx2
domain_in_src_proj = Polygon([[x1, y1], [x2, y1],
[x2, y2], [x1, y2],
[x1, y1]])
boundary_poly = Polygon(src_proj.boundary)
dest_poly = src_proj.project_geometry(Polygon(dest_proj.boundary), dest_proj).buffer(0)
if src_proj != dest_proj:
# Erode boundary by threshold to avoid transform issues.
# This is a workaround for numerical issues at the boundary.
eroded_boundary = boundary_poly.buffer(-src_proj.threshold)
geom_in_src_proj = eroded_boundary.intersection(
domain_in_src_proj)
try:
geom_clipped_to_dest_proj = dest_poly.intersection(
geom_in_src_proj)
except:
geom_clipped_to_dest_proj = None
if geom_clipped_to_dest_proj:
geom_in_src_proj = geom_clipped_to_dest_proj
try:
geom_in_crs = dest_proj.project_geometry(geom_in_src_proj, src_proj)
except ValueError:
src_name =type(src_proj).__name__
dest_name =type(dest_proj).__name__
raise ValueError('Could not project data from %s projection '
'to %s projection. Ensure the coordinate '
'reference system (crs) matches your data '
'and the kdims.' %
(src_name, dest_name))
else:
geom_in_crs = boundary_poly.intersection(domain_in_src_proj)
return geom_in_crs.bounds
def __call__(self, img, boxes, segments, labels):
'''
apply transform when calling
:param img: numpy.ndarray,(h,w,c)
:param boxes: numpy.ndarray,(n,4), x1,y1,x2,y2
:param segments: list(list),(n)(x),x is variant
:param labels: numpy.ndarray,(n)
:return:
'''
h, w, c = img.shape
while True:
mode = random.choice(self.sample_mode)
if mode == 1:
return img, boxes, segments, labels
min_iou = mode
for i in range(50):
new_w = random.uniform(self.min_crop_size * w, w)
new_h = random.uniform(self.min_crop_size * h, h)
# h / w in [0.5, 2]
if new_h / new_w < 0.5 or new_h / new_w > 2:
continue
left = random.uniform(w - new_w)
top = random.uniform(h - new_h)
patch = np.array(
(int(left), int(top), int(left + new_w), int(top + new_h)))
overlaps = bbox_overlaps(patch.reshape(-1, 4),
boxes.reshape(-1, 4)).reshape(-1)
if overlaps.min() < min_iou:
continue
# center of boxes should inside the crop img
center = (boxes[:, :2] + boxes[:, 2:]) / 2
mask = (center[:, 0] > patch[0]) * (
center[:, 1] > patch[1]) * (center[:, 0] < patch[2]) * (
center[:, 1] < patch[3])
if not mask.any():
continue
# adjust boxes
img = img[patch[1]:patch[3], patch[0]:patch[2]]
# box here is not valid enough
# we shound use mask to generate the new box
# boxes[:, 2:] = boxes[:, 2:].clip(max=patch[2:])
# boxes[:, :2] = boxes[:, :2].clip(min=patch[:2])
# boxes -= np.tile(patch[:2], 2)
boxes = []
out_segments = []
out_labels = []
for j, segment in enumerate(segments):
if not mask[j]:
continue
segment = np.array(segment).reshape(-1, 2)
segment = Polygon(segment)
bound = patch.copy()
bound = bound + np.array([1, 1, -1, -1])
bound = np.vstack((bound[[0, 2, 2,
0]], bound[[1, 1, 3,
3]])).transpose()
bound = Polygon(bound)
segment = bound.intersection(segment)
try:
segment = np.array(segment.exterior.coords)
except Exception as e:
print(e)
continue
segment -= patch[:2]
x1, y1 = np.min(segment, 0)
x2, y2 = np.max(segment, 0)
boxes.append([x1, y1, x2, y2])
out_labels.append(labels[j])
out_segments.append(list(segment.reshape(-1)))
boxes = np.array(boxes).astype(np.int32)
return img, boxes, out_segments, np.array(out_labels)
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 4 10:41:21 2020
@author: alber
"""
import pandas as pd
from shapely.geometry import Polygon
polygon = Polygon([(3, 3), (5, 3), (5, 5), (3, 5)])
other_polygon = Polygon([(1, 1), (4, 1), (4, 3.5), (1, 3.5)])
intersection = polygon.intersection(other_polygon)
print(intersection.area)
p = Polygon([[1,1,1],[2,1,1],[2,2,1],[2,1,2],
[2,2,2],[1,2,2],[1,2,1],[1,1,2]])
q = Polygon([[2.5,1.5,2.5],[2.5,2.5,2.5],[1.5,1.5,2.5],[1.5,2.5,2.5],
[1.5,1.5,1.5],[1.5,2.5,1.5],[2.5,2.5,1.5],[2.5,1.5,1.5]])
intersection = p.intersection(q)
print(intersection.area)
polygon = Polygon([(1, 1), (2, 1), (2, 2), (1, 2)])
other_polygon = Polygon([(1.5, 1.5), (3, 1.5), (1.5, 0.5), (1.5, 0.5)])
intersection = polygon.intersection(other_polygon)
print(intersection.area)
def draw_field(camera):
field_points2d = project_field_to_image(camera)
h, w = camera.height, camera.width
# Check if the entities are 15
assert len(field_points2d) == 15
img_polygon = Polygon([(0, 0), (w - 1, 0), (w - 1, h - 1), (0, h - 1)])
canvas = np.zeros((h, w, 3), dtype=np.uint8)
mask = np.zeros((h, w, 3), dtype=np.uint8)
# Draw the boxes
for i in range(3):
# And make a new image with the projected field
linea = LineString([(field_points2d[i][0, :]),
(field_points2d[i][1, :])])
lineb = LineString([(field_points2d[i][1, :]),
(field_points2d[i][2, :])])
linec = LineString([(field_points2d[i][2, :]),
(field_points2d[i][3, :])])
lined = LineString([(field_points2d[i][3, :]),
(field_points2d[i][0, :])])
if i == 0:
polygon0 = Polygon([(field_points2d[i][0, :]),
(field_points2d[i][1, :]),
(field_points2d[i][2, :]),
(field_points2d[i][3, :])])
intersect0 = img_polygon.intersection(polygon0)
if not intersect0.is_empty:
pts = np.array(list(intersect0.exterior.coords),
dtype=np.int32)
pts = pts[:, :].reshape((-1, 1, 2))
cv2.fillConvexPoly(mask, pts, (255, 255, 255))
intersect0 = img_polygon.intersection(linea)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
if pts.shape[0] < 2:
continue
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]),
(255, 255, 255))
intersect0 = img_polygon.intersection(lineb)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
if pts.shape[0] < 2:
continue
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]),
(255, 255, 255))
intersect0 = img_polygon.intersection(linec)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
if pts.shape[0] < 2:
continue
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]),
(255, 255, 255))
intersect0 = img_polygon.intersection(lined)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
if pts.shape[0] < 2:
continue
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]),
(255, 255, 255))
# lines
for i in range(3, 8):
line1 = LineString([(field_points2d[i][0, :]),
(field_points2d[i][1, :])])
intersect1 = img_polygon.intersection(line1)
if not intersect1.is_empty:
pts = np.array(list(list(intersect1.coords)), dtype=np.int32)
pts = pts[:, :].reshape((-1, 1, 2))
cv2.fillConvexPoly(
canvas,
pts,
(255, 255, 255),
)
# Circles
for ii in range(8, 15):
for i in range(field_points2d[ii].shape[0] - 1):
line2 = LineString([(field_points2d[ii][i, :]),
(field_points2d[ii][i + 1, :])])
intersect2 = img_polygon.intersection(line2)
if not intersect2.is_empty:
pts = np.array(list(list(intersect2.coords)), dtype=np.int32)
pts = pts[:, :].reshape((-1, 1, 2))
cv2.fillConvexPoly(
canvas,
pts,
(255, 255, 255),
)
return canvas[:, :, 0] / 255., mask[:, :, 0] / 255.
def assembly_interfaces_numpy(assembly,
nmax=10,
tmax=1e-6,
amin=1e-1,
lmin=1e-3,
face_face=True,
face_edge=False,
face_vertex=False):
"""Identify the interfaces between the blocks of an assembly.
Parameters
----------
assembly : compas_assembly.datastructures.Assembly
An assembly of discrete blocks.
nmax : int, optional
Maximum number of neighbours per block.
Default is ``10``.
tmax : float, optional
Maximum deviation from the perfectly flat interface plane.
Default is ``1e-6``.
amin : float, optional
Minimum area of a "face-face" interface.
Default is ``1e-1``.
lmin : float, optional
Minimum length of a "face-edge" interface.
Default is ``1e-3``.
face_face : bool, optional
Test for "face-face" interfaces.
Default is ``True``.
face_edge : bool, optional
Test for "face-edge" interfaces.
Default is ``False``.
face_vertex : bool, optional
Test for "face-vertex" interfaces.
Default is ``False``.
References
----------
The identification of interfaces is discussed in detail here [Frick2016]_.
Examples
--------
.. code-block:: python
pass
"""
# replace by something proper
assembly.edge = {}
assembly.halfedge = {}
for key in assembly.vertices():
assembly.edge[key] = {}
assembly.halfedge[key] = {}
key_index = assembly.key_index()
index_key = assembly.index_key()
blocks = [assembly.blocks[key] for key in assembly.vertices()]
nmax = min(nmax, len(blocks))
block_cloud = assembly.get_vertices_attributes('xyz')
block_nnbrs = _find_nearest_neighbours(block_cloud, nmax)
# k: key of the base block
# i: index of the base block
# block: base block
# nbrs: list of indices of the neighbouring blocks
# frames: list of frames for each of the faces of the base block
# f0: key of the current base face
# A: uvw base frame of f0
# o: origin of the base frame of f0
# xyz0: xyz coordinates of the vertices of f0
# rst0: local coordinates of the vertices of f0, with respect to the frame of f0
# p0: 2D polygon of f0 in local coordinates
# j: index of the current neighbour
# n: key of the current neighbour
# nbr: neighbour block
# k_i: key index map for the vertices of the nbr block
# xyz: xyz coorindates of all vertices of nbr
# rst: local coordinates of all vertices of nbr, with respect to the frame of f0
# f1: key of the current neighbour face
# rst1: local coordinates of the vertices of f1, with respect to the frame of f0
# p1: 2D polygon of f1 in local coordinates
for k in assembly.vertices():
i = key_index[k]
block = assembly.blocks[k]
nbrs = block_nnbrs[i][1]
frames = block.frames()
if face_face:
# parallelise?
# exclude faces with parallel normals
# e.g. exclude overlapping top faces of two neighbouring blocks in same row
for f0, (origin, uvw) in frames.items():
A = array(uvw, dtype=float64)
o = array(origin, dtype=float64).reshape((-1, 1))
xyz0 = array(block.face_coordinates(f0), dtype=float64).reshape((-1, 3)).T
rst0 = solve(A.T, xyz0 - o).T.tolist()
p0 = Polygon(rst0)
for j in nbrs:
n = index_key[j]
if n == k:
continue
if k in assembly.edge and n in assembly.edge[k]:
continue
if n in assembly.edge and k in assembly.edge[n]:
continue
nbr = assembly.blocks[n]
k_i = {key: index for index, key in enumerate(nbr.vertices())}
xyz = array(nbr.get_vertices_attributes('xyz'), dtype=float64).reshape((-1, 3)).T
rst = solve(A.T, xyz - o).T.tolist()
rst = {key: rst[k_i[key]] for key in nbr.vertices()}
for f1 in nbr.faces():
rst1 = [rst[key] for key in nbr.face_vertices(f1)]
if any(fabs(t) > tmax for r, s, t in rst1):
continue
p1 = Polygon(rst1)
if p1.area < amin:
continue
if p0.intersects(p1):
intersection = p0.intersection(p1)
area = intersection.area
if area >= amin:
coords = [[x, y, 0.0] for x, y, z in intersection.exterior.coords]
coords = global_coords_numpy(o, A, coords)
attr = {
'interface_type': 'face_face',
'interface_size': area,
'interface_points': coords.tolist()[:-1],
'interface_origin': origin,
'interface_uvw': uvw,
}
assembly.add_edge(k, n, attr_dict=attr)
def split_regions(slide_path, img_level=2, cnt_level=3):
s_img, mask, cnts = find_tissue_cnt(slide_path, cnt_level)
img_cnt_ratio = 2**(cnt_level - img_level)
wsi_dim = [ele * img_cnt_ratio for ele in s_img.shape[:2]]
slide_head = openslide.OpenSlide(slide_path)
wsi_img = slide_head.read_region((0, 0), img_level, wsi_dim)
wsi_img = np.array(wsi_img)[:, :, :3]
RAW_SIZE = 256
SIZE1, SIZE2, SIZE4 = int(RAW_SIZE / 4), int(RAW_SIZE / 2), RAW_SIZE
split_arr, patch_list = [], []
for c_ind in range(len(cnts)):
cur_cnt = cnts[c_ind] * img_cnt_ratio
cur_cnt = np.squeeze(cur_cnt)
w_coors = [int(round(ele)) for ele in cur_cnt[:, 0].tolist()]
h_coors = [int(round(ele)) for ele in cur_cnt[:, 1].tolist()]
w_min, w_max = min(w_coors), max(w_coors)
h_min, h_max = min(h_coors), max(h_coors)
# Width range to crop
start_w = (w_min - SIZE1) if (w_min - SIZE1) > 0 else 0
num_w = int(math.ceil((w_max - start_w - SIZE2) / SIZE2))
# Height range to crop
start_h = (h_min - SIZE1) if (h_min - SIZE1) > 0 else 0
num_h = int(math.ceil((h_max - start_h - SIZE2) / SIZE2))
poly_cnt = Polygon(cur_cnt)
if poly_cnt.is_valid == False:
continue
for iw in range(0, num_w):
for ih in range(0, num_h):
# determine current rectangular is inside the contour or not
cur_coors = [
(start_w + iw * SIZE2, start_h + ih * SIZE2),
(start_w + iw * SIZE2 + SIZE4, start_h + ih * SIZE2),
(start_w + iw * SIZE2 + SIZE4,
start_h + ih * SIZE2 + SIZE4),
(start_w + iw * SIZE2, start_h + ih * SIZE2 + SIZE4)
]
if start_w + iw * SIZE2 + SIZE4 >= wsi_img.shape[
1] or start_h + ih * SIZE2 + SIZE4 > wsi_img.shape[0]:
continue
patch_cnt = Polygon(cur_coors)
try:
inter_flag = poly_cnt.intersects(patch_cnt)
if inter_flag == False:
continue
else:
inter_cnt = poly_cnt.intersection(patch_cnt)
if inter_cnt.area > patch_cnt.area * 0.5:
split_arr.append(
(start_h + ih * SIZE2, start_w + iw * SIZE2))
split_patch = wsi_img[start_h +
ih * SIZE2:start_h +
ih * SIZE2 + SIZE4, start_w +
iw * SIZE2:start_w +
iw * SIZE2 + SIZE4, :]
patch_list.append(split_patch)
except:
print("Error in Polygon relationship")
return split_arr, patch_list, wsi_dim, s_img, mask
class FloorPlan:
def __init__(self, PLS, parametersOnly=False):
self.PLS = PLS
self.objects = None
self.combinerLength = self.PLS.latticeElementList[
self.PLS.combinerIndex].Length
self.parameters = None # to hold the parameters used in the last build
self.combinerWidth = .3
rCombiner = self.PLS.latticeElementList[self.PLS.combinerIndex].r0
self.combinerInputAngle = np.arcsin(
self.combinerLength /
rCombiner) * 180 / np.pi #Half angle seperation
#between 2 incoming beams, deg
self.combinerInputSep = 2 * self.combinerLength**2 / (2 * rCombiner)
self.bendingRadius = None
self.rOuterBender = .15
self.benderPoints = 50
self.TL1 = None # tracklength 1
self.TL2 = None # trackLength 2
self.wallSpacing = .3 #Minimum distance between wall and any component of the ring. meters
self.focusToWallDistance = 4.4 #distance from focus of the collector magnet to the wall along the nozzle axis, meters
self.Lm4 = None
self.rOuter4 = None
self.Lm3 = None
self.rOuter3 = None
self.Lm1 = None
self.rOuter1 = None
self.Lm2 = None
self.rOuter2 = None
self.rOuterRatio = 6.5 # outer dimension of lens to bore
self.airGap1 = .01 # extra lens spacing for coils
self.airGap2 = .01 # extra lens spacing for coils
self.airGap3 = .01 # extra lens spacing for coils
self.airGap4 = .01 # extra lens spacing for coils
self.coilGapRatio = 2 #ratio between required coil spacing and bore radius
# injector stuff
self.LiMin = self.combinerLength + .2
self.LiMax = 3
self.LmMin = .025
self.LmMax = .5
self.LoMin = .05
self.LoMax = .2
self.Lo = None
self.Lm = None
self.Li = None
self.rOuterShaper = .15 # shaper magnet yoke radius
self.rVacuumTube = .02
# total floorplan stuff
self.distanceFromObjectMax = 4.2 # maximum distance from object of injector to wall
self.combinerLen1Sep = .2 # 20 cm between output of combiner and lens1
self.combiner = None
self.lensShaper = None
self.bender1 = None
self.bender2 = None
self.lens1 = None
self.lens2 = None
self.lens3 = None
self.lens4 = None
self.lens4VacuumTube = None
self.shaperVacuumTube = None
# make floorplan list func
self.floorPlanArgListFunc = None
if parametersOnly == False:
if self.PLS.combinerIndex != None:
temp = []
temp.append(
self.PLS.trackLength -
(self.PLS.latticeElementList[self.PLS.combinerIndex].S +
self.PLS.latticeElementList[self.PLS.combinerIndex].Length
/ 2)) #
# tracklength 1
temp.append(
self.PLS.latticeElementList[self.PLS.combinerIndex].S +
self.PLS.latticeElementList[self.PLS.combinerIndex].Length
/ 2) # tracklength 2
temp.append(self.PLS.latticeElementList[
self.PLS.lensIndices[3]].Length) # lens lengths
temp.append(self.PLS.latticeElementList[
self.PLS.lensIndices[0]].Length) # lens lengths
temp.append(self.PLS.latticeElementList[
self.PLS.lensIndices[1]].Length) # lens lengths
temp.append(self.PLS.latticeElementList[
self.PLS.lensIndices[2]].Length) # lens lengths
temp.append(
self.PLS.latticeElementList[self.PLS.benderIndices[0]].r0
) # bender radius, same for both as of now
temp.append(self.PLS.latticeElementList[
self.PLS.combinerIndex].Length) # length of combiner
temp.append(self.PLS.injector.Lo)
temp.append(self.PLS.injector.Lm)
temp.append(self.PLS.injector.Li)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[1]].rp *
self.rOuterRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[2]].rp *
self.rOuterRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[3]].rp *
self.rOuterRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[0]].rp *
self.rOuterRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[3]].rp *
self.coilGapRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[0]].rp *
self.coilGapRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[1]].rp *
self.coilGapRatio)
temp.append(
self.PLS.latticeElementList[self.PLS.lensIndices[2]].rp *
self.coilGapRatio)
args = self.PLS.sympyVarList.copy()
args.extend(self.PLS.injector.sympyVarList)
self.floorPlanArgListFunc = sym.lambdify(args, temp)
def load_Paramters(self, args):
self.parameters = self.floorPlanArgListFunc(*args)
self.TL1 = self.parameters[0]
self.TL2 = self.parameters[1]
self.Lm1 = self.parameters[2]
self.Lm2 = self.parameters[3]
self.Lm3 = self.parameters[4]
self.Lm4 = self.parameters[5]
self.bendingRadius = self.parameters[6]
self.combinerLength = self.parameters[7]
self.Lo = self.parameters[8]
self.Lm = self.parameters[9]
self.Li = self.parameters[10]
self.rOuter1 = self.parameters[11]
self.rOuter2 = self.parameters[12]
self.rOuter3 = self.parameters[13]
self.rOuter4 = self.parameters[14]
self.airGap1 = self.parameters[15]
self.airGap2 = self.parameters[16]
self.airGap3 = self.parameters[17]
self.airGap4 = self.parameters[18]
def build(self, args, reloadParams=True):
if reloadParams == True:
# don't bother refilling the parameters list if I already di
self.load_Paramters(args)
self.objects = []
self.combiner = Polygon([(0, 0), (0, self.combinerWidth),
(self.combinerLength, self.combinerWidth),
(self.combinerLength, 0)])
self.combiner = translate(self.combiner, yoff=-self.combinerWidth / 2)
self.objects.append(self.combiner)
angle = 180
angleArr = np.linspace(-angle / 2, angle / 2, num=self.benderPoints)
x1 = (self.bendingRadius - self.rOuterBender) * np.cos(
angleArr * np.pi / 180)
y1 = (self.bendingRadius - self.rOuterBender) * np.sin(
angleArr * np.pi / 180)
angleArr = np.linspace(angle / 2, -angle / 2, num=self.benderPoints)
x2 = (self.bendingRadius + self.rOuterBender) * np.cos(
angleArr * np.pi / 180)
y2 = (self.bendingRadius + self.rOuterBender) * np.sin(
angleArr * np.pi / 180)
x = np.append(x1, x2)
y = np.append(y1, y2)
self.bender2 = Polygon(np.column_stack((x[None].T, y[None].T)))
self.lens4 = Polygon([(0, 0), (self.Lm4, 0),
(self.Lm4, self.rOuter4 * 2),
(0, self.rOuter4 * 2)])
self.lens4 = translate(self.lens4,
xoff=-self.Lm4 - self.airGap4,
yoff=-self.rOuter4)
self.lens3 = Polygon([(0, 0), (self.Lm3, 0),
(self.Lm3, self.rOuter3 * 2),
(0, self.rOuter3 * 2)])
self.lens3 = translate(self.lens3,
xoff=-self.Lm3 - self.airGap3,
yoff=self.bendingRadius - self.rOuter3)
self.lens4VacuumTube = Polygon([
(0, 0),
(self.TL2 - self.combinerLength - self.Lm4 - self.airGap4, 0),
(self.TL2 - self.combinerLength - self.Lm4 - self.airGap4,
self.rVacuumTube * 2), (0, self.rVacuumTube * 2)
])
self.lens4VacuumTube = translate(self.lens4VacuumTube,
xoff=self.combinerLength,
yoff=-self.rVacuumTube)
self.lens4VacuumTube = rotate(self.lens4VacuumTube,
self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.bender2 = translate(self.bender2, yoff=self.bendingRadius)
self.lens3 = translate(self.lens3, yoff=self.bendingRadius)
self.bender2 = rotate(self.bender2,
self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.lens3 = rotate(self.lens3,
self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.lens4 = rotate(self.lens4,
self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.bender2 = translate(self.bender2, yoff=self.combinerInputSep / 2)
self.lens3 = translate(self.lens3, yoff=self.combinerInputSep / 2)
self.lens4 = translate(self.lens4, yoff=self.combinerInputSep / 2)
tempx = self.TL2 * np.cos(self.combinerInputAngle * np.pi / 180)
tempy = self.TL2 * np.sin(self.combinerInputAngle * np.pi / 180)
self.bender2 = translate(self.bender2, xoff=tempx, yoff=tempy)
self.lens3 = translate(self.lens3, xoff=tempx, yoff=tempy)
self.lens4 = translate(self.lens4, xoff=tempx, yoff=tempy)
self.objects.append(self.bender2)
self.objects.append(self.lens4)
self.objects.append(self.lens3)
self.objects.append(self.lens4VacuumTube)
self.bender1 = Polygon(np.column_stack((x[None].T, y[None].T)))
self.bender1 = rotate(self.bender1, 180, origin=(0, 0))
self.bender1 = translate(self.bender1,
yoff=self.bendingRadius,
xoff=-self.TL1)
self.lens1 = Polygon([(0, 0), (self.Lm1, 0),
(self.Lm1, self.rOuter1 * 2),
(0, self.rOuter1 * 2)])
self.lens1 = translate(self.lens1,
xoff=-self.TL1 + self.airGap1,
yoff=-self.rOuter1)
self.lens2 = Polygon([(0, 0), (self.Lm2, 0),
(self.Lm2, self.rOuter2 * 2),
(0, self.rOuter2 * 2)])
self.lens2 = translate(self.lens2,
xoff=-self.TL1 + self.airGap2,
yoff=2 * self.bendingRadius - self.rOuter2)
self.objects.append(self.bender1)
self.objects.append(self.lens1)
self.objects.append(self.lens2)
self.lensShaper = Polygon([(0, 0), (self.Lm, 0),
(self.Lm, self.rOuterShaper * 2),
(0, self.rOuterShaper * 2)])
self.lensShaper = translate(self.lensShaper,
yoff=-self.rOuterShaper,
xoff=self.combinerLength)
self.lensShaper = rotate(self.lensShaper,
-self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.lensShaper = translate(self.lensShaper,
yoff=-self.combinerInputSep / 2)
tempx = (self.Li - self.combinerLength) * np.cos(
self.combinerInputAngle * np.pi / 180)
tempy = (self.Li - self.combinerLength) * np.sin(
self.combinerInputAngle * np.pi / 180)
self.lensShaper = translate(self.lensShaper, xoff=tempx, yoff=-tempy)
self.shaperVacuumTube = Polygon([(0, 0),
(self.Li - self.combinerLength, 0),
(self.Li - self.combinerLength,
self.rVacuumTube * 2),
(0, self.rVacuumTube * 2)])
self.shaperVacuumTube = translate(self.shaperVacuumTube,
yoff=-self.rVacuumTube,
xoff=self.combinerLength)
self.shaperVacuumTube = rotate(self.shaperVacuumTube,
-self.combinerInputAngle,
origin=(self.combinerLength, 0))
self.shaperVacuumTube = translate(self.shaperVacuumTube,
yoff=-self.combinerInputSep / 2)
self.objects.append(self.lensShaper)
self.objects.append(self.shaperVacuumTube)
# numShapes=len(self.objects)
# temp=np.zeros((numShapes,numShapes))
# for i in range(numShapes):
# for j in range(i+1,numShapes):
# temp[i,j]=1
# print(temp)
def show_Floor_Plan(self, sol=None, args=None):
if args != None: # if someone provides values for arguments then build it, otherwise its already built
self.build(args)
if sol != None:
self.build(sol.args)
if (sol == None and args == None) or (sol != None and args != None):
raise Exception(
'YOU CANNOT PROVIDE BOTH A SOLUTION AND ARGUMENTS TO PLOT')
for i in range(len(self.objects)):
plt.plot(*self.objects[i].exterior.xy)
plt.xlim(-2, 2)
plt.ylim(-1, 3)
plt.show()
def calculate_Cost(self,
args=None,
offset=4,
areaWeight=100,
lineWeight=1):
# This method works fast by only building the floorplan, which takes a few ms, if all simple costs return zero
# use fractional overlapping area, (area overlapping)/(total area)
totalCost = 0
if args is not None:
# if no arguments are provided, just use the cpreviously built floorplan. otherwise rebuild
self.load_Paramters(args)
xMostLeft = (self.Lo + self.Lm + self.Li) * np.cos(
self.combinerInputAngle * np.pi /
180) #the most leftward point of the
#bender. This is used to prevent the layout from impinging onto the wall and too keep enough seperation
xMostLeft += self.TL1 + self.bendingRadius + self.rOuterBender
if xMostLeft > (self.focusToWallDistance - self.wallSpacing):
totalCost += lineWeight * np.abs(xMostLeft -
(self.focusToWallDistance -
self.wallSpacing))
if self.Li < self.LiMin:
totalCost += lineWeight * np.abs(self.LiMin - self.Li)
if self.Li > self.LiMax:
totalCost += lineWeight * np.abs(self.Li - self.LiMax)
if self.TL1 < 0:
totalCost += lineWeight * np.abs(self.TL1)
if self.TL2 < 0:
totalCost += lineWeight * np.abs(self.TL2)
if (self.Lm2 + self.Lm3 + self.airGap2 + self.airGap3) > (
self.TL1 + self.TL2): # if the two lenses overlap
totalCost += lineWeight * np.abs(
(self.Lm2 + self.Lm3 + self.airGap2 + self.airGap3) -
(self.TL1 + self.TL2))
if (self.Li + self.Lm + self.Lo + self.TL1 +
self.bendingRadius) > self.distanceFromObjectMax:
totalCost += lineWeight * np.abs(
(self.Li + self.Lm + self.Lo + self.TL1 + self.bendingRadius) -
self.distanceFromObjectMax)
if (self.TL1 - self.Lm1 - self.airGap1) < self.combinerLen1Sep:
# if there is not enough room between the combiner output and next lens for optical pumping:
totalCost += lineWeight * np.abs(
(self.TL1 - self.Lm1 - self.airGap1) - self.combinerLen1Sep)
if (self.TL2 - self.Lm4 - self.combinerLength) < 0:
# if lens 4 is impinging on the combiner
totalCost += lineWeight * np.abs(self.TL2 - self.Lm4 -
self.combinerLength)
if totalCost < 1E-10: # to prevent rounding errors that screwed me up before
area = 0
if args is not None:
# if args are None then use the current floorplan
self.build(args, reloadParams=False)
area += self.lens1.intersection(
self.combiner).area / (self.lens1.area + self.combiner.area
) # fractional area overlap
# between lens1 and combiner
area += self.lens4.intersection(
self.lensShaper).area / (self.lens1.area + self.lensShaper.area
) # farctional area overlap
# between lens4 and shaper lens
area += self.bender2.intersection(self.lensShaper).area / (
self.lensShaper.area + self.bender2.area
) # fractional area overlap
# between shaper lens and bender 2
area += self.shaperVacuumTube.intersection(self.lens4).area / (
self.shaperVacuumTube.area + self.lens4.area)
area += self.lens4VacuumTube.intersection(self.lensShaper).area / (
self.lens4VacuumTube.area + self.lensShaper.area)
area += self.shaperVacuumTube.intersection(self.bender2).area / (
self.shaperVacuumTube.area + self.bender2.area)
totalCost += area * areaWeight
return totalCost + offset
def _shift_polygon(self, polygon):
"""
shifts a polygon according to the origin longitude
"""
if self.lon0 == 0.0:
return [polygon] # no need to shift anything
from shapely.geometry import Polygon
# we need to split and join some polygons
poly_coords = []
holes = []
for (lon, lat) in polygon.exterior.coords:
poly_coords.append((lon - self.lon0, lat))
for hole in polygon.interiors:
hole_coords = []
for (lon, lat) in hole.coords:
hole_coords.append((lon - self.lon0, lat))
holes.append(hole_coords)
poly = Polygon(poly_coords, holes)
polygons = []
#print "shifted polygons", (time.time() - start)
#start = time.time()
try:
p_in = poly.intersection(self.bounds)
polygons += hasattr(p_in, 'geoms') and p_in.geoms or [p_in]
except:
pass
#print "computed polygons inside bounds", (time.time() - start)
#start = time.time()
try:
p_out = poly.symmetric_difference(self.bounds)
out_geoms = hasattr(p_out, 'geoms') and p_out.geoms or [p_out]
except:
out_geoms = []
pass
#print "computed polygons outside bounds", (time.time() - start)
#start = time.time()
for polygon in out_geoms:
ext_pts = []
int_pts = []
s = 0 # at first we compute the avg longitude
c = 0
for (lon, lat) in polygon.exterior.coords:
s += lon
c += 1
left = s / float(c) < -180 # and use it to decide where to shift the polygon
for (lon, lat) in polygon.exterior.coords:
ext_pts.append((lon + (-360, 360)[left], lat))
for interior in polygon.interiors:
pts = []
for (lon, lat) in interior.coords:
pts.append((lon + (-360, 360)[left], lat))
int_pts.append(pts)
polygons.append(Polygon(ext_pts, int_pts))
# print "shifted outside polygons to inside", (time.time() - start)
return polygons
class Poly(object):
def __init__(self, pts):
super(Poly, self).__init__()
self.points = pts
self.poly = Polygon
self.updatePolygon()
def move(self, x, y):
for pt in self.points:
pt.move(x, y)
self.updatePolygon()
def scale(self, r):
for pt in self.points:
pt.scale(r)
self.updatePolygon()
def updatePolygon(self):
self.poly = Polygon([(pnt.x(), pnt.y()) for pnt in self.points])
# self.poly = Polygon([(1,2),(1,1),(5,5)])
def containsPoint(self, pnt):
self.poly.contains(pnt.pnt)
def intersects(self, poly):
return self.poly.intersects(poly.poly)
def intersection(self, poly):
if not self.intersects(poly):
return None
try:
poly = self.poly.intersection(poly.poly)
if type(poly) is Polygon:
return Poly(Poly.getPointsFromShapelyPoly(poly))
except Exception:
return None
return None
def union(self, poly): #does not return a Poly object
return self.poly.union(poly.poly)
def subtractPoly(self, poly):
spoints = list(self.points)
if len(self.points) > 4:
pnts = self.points
size = len(pnts)
for i in range(size):
p1, p2 = pnts[(i - 1) % size], pnts[(i + 1) % size]
vec1 = pnts[i] - p1
vec2 = p2 - pnts[i]
if vec1.isParallel(vec2, 0.05):
spoints.remove(pnts[i])
if len(spoints) > 4:
return [self]
def getTopLeft(points):
minY = min([pnt.y() for pnt in points])
minX = None
minPnt = None
for pnt in points:
if pnt.y() == minY:
if not minPnt:
minPnt = pnt
minX = pnt.x()
if pnt.x() < minX:
minPnt = pnt
minX = pnt.x()
return minPnt
pntM = getTopLeft(spoints)
indM = [
i for i, pnt in enumerate(spoints)
if pnt.x() == pntM.x() and pnt.y() == pntM.y()
][0]
vecL = spoints[(indM + 1) % len(spoints)] - spoints[indM]
vecW = spoints[(indM - 1) % len(spoints)] - spoints[indM]
if vecW.magn() > vecL.magn():
vecL, vecW = vecW, vecL
pPntM = None
minS = None
for pnt in poly.points:
vec = pnt - pntM
if vec.isParallel(vecL):
if not pPntM:
pPntM = pnt
minS = vec.magn()
elif minS > vec.magn():
pPntM = pnt
minS = vec.magn()
if not pPntM:
# from UI import Plotter
# from matplotlib import pyplot as plt
# print("ERROR GEOM2D: NO PARALLELISM")
# print(self)
# print(poly)
# Plotter.plotPolys([self],1)
# Plotter.plotPolys([poly], 2)
# Plotter.plotPolys([self,poly], 2)
# plt.show()
return [self]
# pPntM = getTopLeft(poly.points)
pIndM = [
i for i, pnt in enumerate(poly.points)
if pnt.x() == pPntM.x() and pnt.y() == pPntM.y()
][0]
pvecL = poly.points[(pIndM + 1) %
len(poly.points)] - poly.points[pIndM]
pvecW = poly.points[(pIndM - 1) %
len(poly.points)] - poly.points[pIndM]
# print(vecL)
# print(vecW)
# print(pvecL)
# print(pvecW)
if pvecW.isParallel(vecL, 0.05):
pvecW, pvecL = pvecL, pvecW
if not pvecL.isParallel(vecL, 0.05):
print(
"ERROR GEOM2D SUBTRACTPOLY: NOT PARALLEL, THEY SHOULD BE PARALLEL!"
)
return [self]
vecp = pPntM - pntM
if pntM.x() == pPntM.x() and pntM.y() == pPntM.y():
if pvecL.magn() == vecL.magn():
# print("REMOVING IT ALL!!!")
# print(self)
# print(poly)
return []
return [
Poly([
pPntM + pvecL, pPntM + pvecL + pvecW, pntM + vecL + pvecW,
pntM + vecL
])
]
if vecp.magn() + pvecL.magn() == vecL.magn():
return [Poly([pntM, pPntM, pPntM + pvecW, pntM + pvecW])]
# return [self]
polys = [
Poly([pntM, pPntM, pPntM + pvecW, pntM + pvecW]),
Poly([
pPntM + pvecL, pPntM + pvecL + pvecW, pntM + vecL + pvecW,
pntM + vecL
])
]
# print(polys[0])
# print(polys[1])
return polys
# return [self]
def copy(self):
return Poly([pnt.copy() for pnt in self.points])
def area(self):
return self.poly.area
def centroid(self):
return self.poly.centroid
def momentX(self):
pts = [[p.x(), p.y()] for p in self.points][::-1]
return inertia(pts)[0]
def momentY(self):
pts = [[p.x(), p.y()] for p in self.points][::-1]
return inertia(pts)[1]
def __copy__(self):
return self.copy()
def __str__(self):
s = "polygon:\n"
for pnt in self.points:
s += str(pnt) + '\n'
return s
@staticmethod
def getPointsFromShapelyPoly(polygon):
pnts = []
for pnt in polygon.exterior.coords:
pnts.append(Pnt(pnt[0], pnt[1]))
del pnts[-1]
return pnts
from shapely.geometry import box, Polygon
import rtree
gridcell_shape = box(129.5, -27.0, 129.75, 27.25)
# Populate R-tree index with bounds of grid cells
for pos, cell in enumerate(gridcell_shape):
# assuming cell is a shapely object
idx.insert(pos, cell.bounds)
# Example polygon
xy = [[130.21001, 27.200001], [129.52, 27.34], [129.45, 27.1], [130.13, 26.950001]]
polygon_shape = Polygon(xy)
# Example grid cell
gridcell_shape = box(129.5, -27.0, 129.75, 27.25)
# The intersection
polygon_shape.intersection(gridcell_shape).area
# In[ ]:
from osgeo import ogr
import shapely
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from descartes import PolygonPatch
import shapely
wkt1 = "POLYGON ((1208064.271243039 624154.6783778917, 1208064.271243039 601260.9785661874, 1231345.9998651114 601260.9785661874, 1231345.9998651114 624154.6783778917, 1208064.271243039 624154.6783778917))"
wkt2 = "POLYGON ((1199915.6662253144 633079.3410163528, 1199915.6662253144 614453.958118695, 1219317.1067437078 614453.958118695, 1219317.1067437078 633079.3410163528, 1199915.6662253144 633079.3410163528)))"
poly1 = ogr.CreateGeometryFromWkt(wkt1)
poly2 = ogr.CreateGeometryFromWkt(wkt2)
def GetVoPolygons(pos1,course1,speed1,pos2,course2,speed2):
# 获得四个VO区域的多边形坐标集合
# pos1为本船的位置向量，pos2为目标船位置向量
# course1为本船的航向，course2为目标船航向，正北为0°，向右旋转为正
# speed1为本船速度，speed2为目标船速度，m/s
#返回的是shapely格式的polygon
#船舶1的坐标
pp1 = np.array(pos1)
#船舶2速度向量终点坐标，起点为本船位置
pp2 = np.array([pp1[0] + speed2 * np.sin(course2 * np.pi / 180) * SCALE,\
pp1[1] + speed2 * np.cos(course2 * np.pi / 180) * SCALE])
#从pos1指向pos2的向量
vec12 = np.array(pos2) - pp1
#vec12逆时针旋转90°得到的向量
vec12_rotate90 = np.array([vec12[0] * np.cos(np.pi / 2) - vec12[1] * np.sin(np.pi / 2),\
vec12[0] * np.sin(np.pi / 2) + vec12[1] * np.cos(np.pi / 2)])
pp4,pp3 = lc.LineCircleIntersection(pp1,V_MAX * SCALE, pp2, vec12_rotate90)
gamma = math.asin(DCPA / np.linalg.norm(vec12)) * 180 / np.pi #安全角度
#相对位置向量顺时针旋转gamma后的向量
vec_rotate_right = [vec12[0] * np.cos(gamma * np.pi / 180) + vec12[1] * np.sin(gamma * np.pi / 180),\
-vec12[0] * np.sin(gamma * np.pi / 180) + vec12[1] * np.cos(gamma * np.pi / 180)]
#相对位置向量顺时针旋转gamma后的向量
vec_rotate_left = [vec12[0] * np.cos(gamma * np.pi / 180) - vec12[1] * np.sin(gamma * np.pi / 180),\
vec12[0] * np.sin(gamma * np.pi / 180) + vec12[1] * np.cos(gamma * np.pi / 180)]
p_temp1, p_temp2 = lc.LineCircleIntersection(pp1,V_MAX * SCALE, pp2, vec_rotate_right)
#这里还需要进一步判断
vec1 = pp3 - pp1
vec2 = p_temp1 - pp1
if vec1[0] * vec2[1] - vec2[0] * vec1[1] > 0:
pp5 = p_temp1
else:
pp5 = p_temp2
p_temp1, p_temp2 = lc.LineCircleIntersection(pp1,V_MAX * SCALE, pp2, vec_rotate_left)
#这里还需要进一步判断
vec1 = p_temp1 - pp1
vec2 = pp4 - pp1
if vec1[0] * vec2[1] - vec2[0] * vec1[1] > 0:
pp6 = p_temp1
else:
pp6 = p_temp2
pp7 = np.array([pp1[0] + V_MAX * SCALE * np.sin((course1 + ALPHA_MAX) * np.pi / 180),\
pp1[1] + V_MAX * SCALE * np.cos((course1 + ALPHA_MAX) * np.pi / 180)])
pp8 = np.array([pp1[0] + V_MAX * SCALE * np.sin((course1 - ALPHA_MAX) * np.pi / 180),\
pp1[1] + V_MAX * SCALE * np.cos((course1 - ALPHA_MAX) * np.pi / 180)])
##########################################################################
#计算多个矩形区域
# 1:整个速度向量区域
point_temp = ga.GetArcPoints(pp1,pp7,pp8)
poly_whole = np.vstack((pp1, pp7,point_temp,pp8)) #多个矩阵合并
#python四边形对象，会自动生成逆时针的凸多边形
poly_whole = Polygon(poly_whole).convex_hull
#2：速度障碍区域
point_temp = ga.GetArcPoints(pp1,pp5,pp6)
poly_vo = np.vstack((pp2, pp5,point_temp,pp6)) #多个矩阵合并
poly_vo = Polygon(poly_vo).convex_hull
#3:poly_front
point_temp = ga.GetArcPoints(pp1,pp6,pp4)
poly_front = np.vstack((pp2, pp6,point_temp,pp4)) #多个矩阵合并
poly_front = Polygon(poly_front).convex_hull
#4:poly_rear
point_temp = ga.GetArcPoints(pp1,pp3,pp5)
poly_rear = np.vstack((pp2, pp3,point_temp,pp5)) #多个矩阵合并
poly_rear = Polygon(poly_rear).convex_hull
#5:poly_diverging
point_temp = ga.GetArcPoints(pp1,pp4,pp3)
poly_diverging = np.vstack((pp3,pp4,point_temp)) #多个矩阵合并
poly_diverging = Polygon(poly_diverging).convex_hull
####################################################
#求多个区域与poly_whole的相交区域
if not poly_vo.intersects(poly_whole): #如果两四边形不相交
poly_vo = []
else:
poly_vo = poly_vo.intersection(poly_whole)
if not poly_front.intersects(poly_whole): #如果两四边形不相交
poly_front = []
else:
poly_front = poly_front.intersection(poly_whole)
if not poly_rear.intersects(poly_whole): #如果两四边形不相交
poly_rear = []
else:
poly_rear = poly_rear.intersection(poly_whole)
if not poly_diverging.intersects(poly_whole): #如果两四边形不相交
poly_diverging = []
else:
poly_diverging = poly_diverging.intersection(poly_whole)
##########################################################################
return poly_vo,poly_front,poly_rear,poly_diverging
#pos1 = [1000,-5134]
#course1 = 0
#speed1 = 5.144
#
#pos2 = [5446,2567]
#course2 = 240
#speed2 = 5.144
#
#poly_vo,poly_front,poly_rear,poly_diverging = GetVoPolygons(pos1,course1,speed1,pos2,course2,speed2)
#
#print(poly_vo)
def iou(boxa: List, boxb: List) -> float:
a = Polygon(boxa)
b = Polygon(boxb)
intersect_area = a.intersection(b).area
union_area = a.union(b).area
return intersect_area / union_area
def calculate_intersection(box_1, box_2):
poly_1 = Polygon(box_1)
poly_2 = Polygon(box_2)
intersection_area = poly_1.intersection(poly_2).area
return intersection_area
def __find_areas(self, vor, boundary):
import itertools
if boundary is not list:
boundary = boundary.tolist()
if boundary[0] != boundary[-1]:
boundary.append(boundary[0])
bounds = Polygon(boundary)
#diagonal of bounding box = safe maximum distance to add:
radius = common.distance((bounds.bounds[0], bounds.bounds[1]),
(bounds.bounds[2], bounds.bounds[3]))
vor = self.__voronoi_correction(vor, radius)
regions, vertices = self.__voronoi_finite_polygons_2d(vor, radius)
areas = []
for region in regions:
#check for polygon validity:
vs = np.asarray([tuple(vertices[i]) for i in region])
if len(vs) < 3:
print "NON-POLYGON=>no area record"
areas.append(np.nan)
continue
p = Polygon(vs)
if not p.is_valid:
#brute-force validation of polygon
c = vs.mean(axis=0)
angles = np.arctan2(vs[:, 1] - c[1], vs[:, 0] - c[0])
cc_order = np.argsort(angles)
print len(
cc_order), ": INVALID POLYGON! Start permuting! (", len(
angles), "points)",
#permutation works on last elements of list first. However,
#the first elements of the Voronoi vertices for a region tend
#to be the ones that are wrongly defined
perm = itertools.permutations(cc_order[::-1])
while True:
try:
opa = np.array(perm.next())
p = Polygon(vs[opa[::-1]])
except:
print "RAN OUT OF PERMUTATIONS!"
raise
if p.is_valid:
print "VALIDATED POLYGON! End permuting!"
break
#intersect with boundary (river polygon)
inter = p.intersection(bounds)
#calculate area
if inter.type not in ['Polygon', 'MultiPolygon']:
print inter.type, "NON-POLYGON=>no area record"
areas.append(np.nan) #unknown area
elif inter.type == 'MultiPolygon':
a = 0.0
for poly in inter:
a += abs(poly.area)
areas.append(a)
else:
areas.append(abs(inter.area))
#adjust voronoi data structure
vor.regions = [[]] + regions #add initial empty region
vor.vertices = vertices
return np.array(areas), vor
def _compute_bbox_height(self, height, width, ref_width, yaw):
yaw -= math.pi / 2
fixed_width = int(ref_width / self.bvres)
cosy = np.cos(yaw)
siny = np.sin(yaw)
cosyrect = np.cos(yaw + np.pi / 2)
sinyrect = np.sin(yaw + np.pi / 2)
# Compute the two possible car lengths
l0 = abs((height - abs(cosyrect * fixed_width)) / cosy) if round(
cosy, 3) != 0 else 0 # TODO Check if 0 is right value
l1 = abs((width - abs(sinyrect * fixed_width)) / siny) if round(
siny, 3) != 0 else 0 # TODO Check if 0 is right value
# pdb.set_trace()
# Compute vertexes for the aligned bbox
aligned_v0 = (-height / 2, -width / 2)
aligned_v1 = (-height / 2, +width / 2)
aligned_v2 = (+height / 2, +width / 2)
aligned_v3 = (+height / 2, -width / 2)
# Compute rotated vertexes for the bbox 0
alignedl0_corners = np.array([[-l0 / 2, -fixed_width / 2],
[-l0 / 2, +fixed_width / 2],
[+l0 / 2, +fixed_width / 2],
[+l0 / 2, -fixed_width / 2]])
# Compute rotated vertexes for the bbox 1
alignedl1_corners = np.array([[-l1 / 2, -fixed_width / 2],
[-l1 / 2, +fixed_width / 2],
[+l1 / 2, +fixed_width / 2],
[+l1 / 2, -fixed_width / 2]])
# Compute rotation matrix
c, s = np.cos(yaw), np.sin(yaw)
R = np.array([[c, -s], [s, c]])
# Rotate all corners at once by yaw
rot0_corners = np.dot(alignedl0_corners, R.T)
rot1_corners = np.dot(alignedl1_corners, R.T)
# Compute IoU between aligned bbox and the two refined proposals
aligned_poly = Polygon(
[aligned_v0, aligned_v1, aligned_v2, aligned_v3])
poly0 = Polygon([
tuple(rot0_corners[0]),
tuple(rot0_corners[1]),
tuple(rot0_corners[2]),
tuple(rot0_corners[3])
])
poly1 = Polygon([
tuple(rot1_corners[0]),
tuple(rot1_corners[1]),
tuple(rot1_corners[2]),
tuple(rot1_corners[3])
])
intersection_p0 = poly0.intersection(aligned_poly).area
intersection_p1 = poly1.intersection(aligned_poly).area
iou_p0 = intersection_p0 / (aligned_poly.area + poly0.area -
intersection_p0)
iou_p1 = intersection_p1 / (aligned_poly.area + poly1.area -
intersection_p1)
# Return the car length with higher IoU with the aligned bbox
return l0 if iou_p0 > iou_p1 else l1
flags_near = []
path_pixels = []
inds = []
rats = []
err = False
for ix, iy in zip(indx[flags], indy[flags]):
xc = xp[iy, ix]
yc = yp[iy, ix]
pc = Point(xc, yc)
poly_pixel = Polygon([
(xc - xhlf, yc - yhlf), (xc - xhlf, yc + yhlf),
(xc + xhlf, yc + yhlf), (xc + xhlf, yc - yhlf),
(xc - xhlf, yc - yhlf)
])
try:
poly_intersect = poly_buffer.intersection(poly_pixel)
except Exception:
sys.stderr.write(
'Warning, error occured at (ix,iy)=({},{}), ii={}\n'.
format(ix, iy, ii))
err = True
continue
rat = poly_intersect.area / poly_pixel.area
if rat > 1.0e-10:
inds.append(np.ravel_multi_index((iy, ix), data_shape))
rats.append(rat)
if opts.debug or opts.check:
flags_inside.append(pc.within(poly_buffer))
flags_near.append(rat > 1.0e-10)
path_pixel = Path([(xc - xhlf, yc - yhlf),
(xc - xhlf, yc + yhlf),
def compute_iou(box1, box2):
a = Polygon(torch.t(box1)).convex_hull
b = Polygon(torch.t(box2)).convex_hull
return a.intersection(b).area / a.union(b).area
def plate(self, ptype, lat, decMax, rMax):
lw = 1
pltLimit = 1
rMax = pltLimit
self.p.setProjection(ptype, 0, 90, decMax, rMax)
# circle1 = plt.Circle( (0,0), self.Rmax, linewidth=lw, color=self.plateCircleColor, fill=False)
# self.ax.add_artist(circle1)
#self.plotHorizon(18.0)
n = 100
p = []
for i in range(n):
t = float(i) / float(n - 1) * 2.0 * np.pi
x = (np.sin(t))
y = (np.cos(t))
p.append((x, y))
circleShape = Polygon(p)
n = 100
hrotate = 18
lon = 0
#self.a.setLatLong(lat, lon)
altLine = self.a.createAltPath(0.0, n, hrotate)
pAltLine = self.p.projectSimpleLine(altLine)
#self.plotSimpleLine(pAltLine)
horizonShape = Polygon(pAltLine)
if ptype == 2:
plateShape = circleShape.difference(horizonShape)
elif ptype == 4:
plateShape = horizonShape.intersection(circleShape)
else:
print "ptype = ", ptype, " error in plate"
exit()
ax = plt.gca()
ax.add_patch(
descartes.PolygonPatch(plateShape, fc='b', ec='k', alpha=0.4))
#ax.add_patch(descartes.PolygonPatch(ll1, fc='r', ec='k', alpha=0.2))
font0 = FontProperties()
fontl = font0.copy()
fontl.set_family(
"sans-serif"
) # ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
fontl.set_style("normal") # ['normal', 'italic', 'oblique']
fontl.set_weight(
"bold"
) # ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
rhr = rMax * 0.93
for hr in range(24):
theta = float(hr) * 15. * np.pi / 180.
x = rhr * np.sin(-theta)
y = rhr * np.cos(-theta)
rot = 180. + float(hr) * 15.
hhh = hr % 12
if hhh <> 0:
ss = str(hhh)
elif hr == 0:
ss = "MID\n NIGHT"
else:
ss = "NOON"
if hr > 14 or hr < 10:
plt.text(x,
y,
ss,
fontproperties=fontl,
fontsize=self.plateFontSize,
verticalalignment="center",
horizontalalignment="center",
rotation=rot,
color=self.plateFontColor)
dth = 4.0
theta = (float(hr) * 15. + dth) * np.pi / 180.
x = rhr * np.sin(-theta)
y = rhr * np.cos(-theta)
rot = 180. + float(hr) * 15.
if hr > 0 and hr < 11:
ss = "AM"
elif hr > 12 and hr < 24:
ss = "PM"
else:
ss = ""
if hr > 14 or hr < 10:
plt.text(x,
y,
ss,
fontsize=self.plateFontSize,
fontproperties=fontl,
color=self.plateFontColor,
verticalalignment="center",
horizontalalignment="center",
rotation=rot)
# 15 minute marks
rhr = rMax
rhr2 = rMax * 0.985
rhr3 = rMax * 0.96
for fm in range(0, 24 * 4):
theta = float(fm) / 4.0 * 15. * np.pi / 180.
x1 = rhr * np.sin(-theta)
y1 = rhr * np.cos(-theta)
if fm % 4 > 0:
x2 = rhr2 * np.sin(-theta)
y2 = rhr2 * np.cos(-theta)
else:
x2 = rhr3 * np.sin(-theta)
y2 = rhr3 * np.cos(-theta)
rot = 180. + float(hr) * 15.
plt.plot([x1, x2], [y1, y2],
linewidth=2,
color=self.plateFontColor)
# plt.text(x, y, "x", fontsize=36, verticalalignment="center", horizontalalignment="center", rotation=rot)
#quote = "When I heard the learn'd astronomer, \n When the proofs, the figures, were arranged in columns before me, \n When I was shows the charts and diagrams, to add, divide, and measure them, \n When I sitting heard the astronomer where he lectured with much applause from the lecture-room, \n How soon unaccountable I became tired and sick, \n Till rising and glidering out I wander'd off by myself, \n In the mystical moist night-air, and from time to time, \n Look'd up in perfect silence at the star. \n Walt Whitman, The Learn'd Astronomer"
#plt.text(-0.5, 0.4, quote, fontsize=5, verticalalignment = "center", horizontalalignment="left")
font0 = FontProperties()
fontq = font0.copy()
fontq.set_family(
"sans-serif"
) # ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
fontq.set_style("italic") # ['normal', 'italic', 'oblique']
fontq.set_weight(
"bold"
) # ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
quote = "For my part, I know nothing with certainty, \n but the sight of the stars makes me dream. \n - Vincent Van Gogh"
plt.text(-0.0,
0.4,
quote,
fontsize=10,
fontproperties=fontq,
verticalalignment="center",
horizontalalignment="center",
color=self.plateFontColor)
# https://matplotlib.org/examples/pylab_examples/fonts_demo.html
font0 = FontProperties()
fontt = font0.copy()
fontt.set_family(
"sans-serif"
) # ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
fontt.set_style("italic") # ['normal', 'italic', 'oblique']
fontt.set_weight(
"bold"
) # ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
plt.text(0.0,
0.5,
"The Night Sky",
fontsize=24,
fontproperties=fontt,
verticalalignment="center",
horizontalalignment="center",
color=self.plateFontColor)
class RBox:
def __init__(self, rotate_rect: List[int], label=-1):
"""
:param rotate_rect: [x1, y1, x2, y2, x3, y3, x4, y4, angle]
"""
assert len(rotate_rect) == 9
self.update(rotate_rect)
self.label = label
def update(self, rotate_rect: List[int]):
self.rotate_rect = rotate_rect
self.x1 = rotate_rect[0]
self.y1 = rotate_rect[1]
self.x2 = rotate_rect[2]
self.y2 = rotate_rect[3]
self.x3 = rotate_rect[4]
self.y3 = rotate_rect[5]
self.x4 = rotate_rect[6]
self.y4 = rotate_rect[7]
self.angle = rotate_rect[8]
self.center = (self.x1 + self.x3) / 2, (self.y1 + self.y3) / 2
self.cx = self.center[0]
self.cy = self.center[1]
self.points = [
(rotate_rect[0], rotate_rect[1]),
(rotate_rect[2], rotate_rect[3]),
(rotate_rect[4], rotate_rect[5]),
(rotate_rect[6], rotate_rect[7]),
]
self.poly = Polygon(self.points)
self.meaningful_angle = self.get_meaningful_angle()
def ioo(self, other: Union["RBox", Polygon]):
if self.poly.area == 0:
return 0
if isinstance(other, Polygon):
inter = self.poly.intersection(other).area
else:
inter = self.poly.intersection(other.poly).area
return inter / self.poly.area
def _is_same(self, rbox: "RBox"):
for i in range(9):
if self.rotate_rect[i] != rbox.rotate_rect[i]:
return False
return True
def get_meaningful_angle(self):
# 返回易于理解的angle
# 当框为顺时针旋转时，返回的角度大于0
ordered_points = order_points(np.array(self.points))
self.up_left = ordered_points[0, :]
self.up_right = ordered_points[1, :]
self.down_right = ordered_points[2, :]
self.down_left = ordered_points[3, :]
angle = (
np.arctan2(
[self.up_right[1] - self.up_left[1]],
[self.up_right[0] - self.up_left[0]],
)
/ np.pi
* 180
)
return angle[0]
def get_relative_rbox(self, center_point, delta_l, delta_t, delta_r, delta_b,
angle=None): # delta_xxx 为非负数 相对center_point的偏移
"""
用于找和当前rbox倾斜角度一样的rbox，通常用于以背景框找前景框，center_point为锚点,delta_ltrb为各个边距锚点的距离
"""
p1 = (-delta_l, delta_b)
p2 = (delta_r, delta_b)
p3 = (delta_r, -delta_t)
p4 = (-delta_l, -delta_t)
points = [p4, p3, p2, p1]
# p1-4为左上角起顺时针四点的转正后坐标系的坐标，本函数目的是求该四个点转正前的坐标,注意直角坐标系y轴向上
# 先按本rbox的angle旋转
if angle is None:
angle = self.meaningful_angle
theta = -angle
cos_theta = math.cos(theta / 180 * math.pi)
sin_theta = math.sin(theta / 180 * math.pi)
rotated_points = []
for point in points:
x = point[0] * cos_theta + point[1] * sin_theta
y = -point[0] * sin_theta + point[1] * cos_theta
rotated_points.append((x, y))
# 平移，将up_left_point 从原点
trans_point = []
for point in rotated_points:
x = int(point[0] + center_point[0])
y = int(point[1] + center_point[1])
trans_point.extend([x, y])
return RBox([*trans_point[0:8], angle])
@property
def height(self):
return np.sqrt(
(self.up_left[0] - self.down_left[0]) ** 2
+ (self.up_left[1] - self.down_left[1]) ** 2
)
@staticmethod
def from_RotatedBoxWithLabel(data: RotatedBoxWithLabel) -> "RBox":
return RBox(
[
data.bbox.x1,
data.bbox.y1,
data.bbox.x2,
data.bbox.y2,
data.bbox.x3,
data.bbox.y3,
data.bbox.x4,
data.bbox.y4,
data.bbox.angle,
],
label=data.label,
)
@property
def width(self):
return np.sqrt(
(self.up_left[0] - self.up_right[0]) ** 2 + \
(self.up_left[1] - self.up_right[1]) ** 2
)
def __eq__(self, other: "RBox"):
return self._is_same(other)
def __ne__(self, other: "RBox"):
return not self._is_same(other)
def __getitem__(self, index):
return self.rotate_rect[index]
def __len__(self):
return len(self.rotate_rect)
def __str__(self):
return "[%.2f %.2f %.2f %.2f %.2f %.2f %.2f %.2f]" % tuple(self.rotate_rect)
#Import library
from shapely.geometry import Polygon
#This script calculates the proportion area of square amoug a list of sqaure
#Parameters
polygon_to_test1 = Polygon([(0, 0), (0, 0.5), (1, 0.5), (1, 0)])
polygon_to_test2 = Polygon([(0, 0), (0, 0.5),(0.5, 0.5), (0, 0.5) ])
polygon_to_test=[polygon_to_test1,polygon_to_test1]
polygon_ref_1 = Polygon([(0, 0), (0, 2), (2, 2), (2, 0)])
polygon_ref_2 = Polygon([(0, 0), (0, 3), (2, 3), (2, 0)])
nombre_imagette_oiseau=0
for i in polygon_to_test:
intersection_1=polygon_ref_1.intersection(i)
intersection_2=polygon_ref_2.intersection(i)
proportion_1=intersection_1.area/polygon_ref_1.area
proportion_2=intersection_2.area/polygon_ref_2.area
max_proportion_test1=max(proportion_1,proportion_2)
if (max_proportion_test1>0.5) :
nombre_imagette_oiseau+=1
print(nombre_imagette_oiseau)
def area_of_intersection(det_x, det_y, gt_x, gt_y):
p1 = Polygon(np.stack([det_x, det_y], axis=1)).buffer(0)
p2 = Polygon(np.stack([gt_x, gt_y], axis=1)).buffer(0)
return float(p1.intersection(p2).area)
def seed_neurons(self,
neurons=None,
container=None,
on_area=None,
xmin=None,
xmax=None,
ymin=None,
ymax=None,
soma_radius=0,
unit=None,
return_quantity=None):
'''
Return the positions of the neurons inside the
:class:`Shape`.
Parameters
----------
neurons : int, optional (default: None)
Number of neurons to seed. This argument is considered only if the
:class:`Shape` has no `parent`, otherwise, a position is generated
for each neuron in `parent`.
container : :class:`Shape`, optional (default: None)
Subshape acting like a mask, in which the neurons must be
contained. The resulting area where the neurons are generated is
the :func:`~shapely.Shape.intersection` between of the current
shape and the `container`.
on_area : str or list, optional (default: None)
Area(s) where the seeded neurons should be.
xmin : double, optional (default: lowest abscissa of the Shape)
Limit the area where neurons will be seeded to the region on the
right of `xmin`.
xmax : double, optional (default: highest abscissa of the Shape)
Limit the area where neurons will be seeded to the region on the
left of `xmax`.
ymin : double, optional (default: lowest ordinate of the Shape)
Limit the area where neurons will be seeded to the region on the
upper side of `ymin`.
ymax : double, optional (default: highest ordinate of the Shape)
Limit the area where neurons will be seeded to the region on the
lower side of `ymax`.
unit : string (default: None)
Unit in which the positions of the neurons will be returned, among
'um', 'mm', 'cm', 'dm', 'm'.
return_quantity : bool, optional (default: False)
Whether the positions should be returned as ``pint.Quantity``
objects (requires Pint).
.. versionchanged:: 0.5
Accepts `pint` units and `return_quantity` argument.
Note
----
If both `container` and `on_area` are provided, the intersection of
the two is used.
Returns
-------
positions : array of double with shape (N, 2) or `pint.Quantity` if
`return_quantity` is `True`.
'''
return_quantity = (self._return_quantity
if return_quantity is None else return_quantity)
if return_quantity:
unit = self._unit if unit is None else unit
if not _unit_support:
raise RuntimeError("`return_quantity` requested but Pint is "
"not available. Please install it first.")
if _unit_support:
from .units import Q_
if isinstance(xmin, Q_):
xmin = xmin.m_as(unit)
if isinstance(xmax, Q_):
xmax = xmax.m_as(unit)
if isinstance(ymin, Q_):
ymin = ymin.m_as(unit)
if isinstance(ymax, Q_):
ymax = ymax.m_as(unit)
if isinstance(soma_radius, Q_):
soma_radius = soma_radius.m_as(unit)
positions = None
if neurons is None and self._parent is not None:
neurons = self._parent.node_nb()
if neurons is None:
raise ValueError("`neurons` cannot be None if `parent` is None.")
if on_area is not None:
if not hasattr(on_area, '__iter__'):
on_area = [on_area]
min_x, min_y, max_x, max_y = self.bounds
custom_shape = (container is not None)
if container is None and on_area is None:
# set min/max
if xmin is None:
xmin = -np.inf
if ymin is None:
ymin = -np.inf
if xmax is None:
xmax = np.inf
if ymax is None:
ymax = np.inf
min_x = max(xmin, min_x) # smaller that Shape max x
assert min_x <= self.bounds[2], "`min_x` must be inside Shape."
min_y = max(ymin, min_y) # smaller that Shape max y
assert min_y <= self.bounds[3], "`min_y` must be inside Shape."
max_x = min(xmax, max_x) # larger that Shape min x
assert max_x >= self.bounds[0], "`max_x` must be inside Shape."
max_y = min(ymax, max_y) # larger that Shape min y
assert max_y >= self.bounds[1], "`max_y` must be inside Shape."
# remaining tests
if self._geom_type == "Rectangle":
xx = uniform(min_x + soma_radius,
max_x - soma_radius,
size=neurons)
yy = uniform(min_y + soma_radius,
max_y - soma_radius,
size=neurons)
positions = np.vstack((xx, yy)).T
elif (self._geom_type == "Disk"
and (xmin, ymin, xmax, ymax) == self.bounds):
theta = uniform(0, 2 * np.pi, size=neurons)
# take some precaution to stay inside the shape
r = (self.radius - soma_radius) *\
np.sqrt(uniform(0, 0.99, size=neurons))
positions = np.vstack((r * np.cos(theta) + self.centroid[0],
r * np.sin(theta) + self.centroid[1])).T
else:
custom_shape = True
container = Polygon([(min_x, min_y), (min_x, max_y),
(max_x, max_y), (max_x, min_y)])
elif on_area is not None:
custom_shape = True
area_shape = Polygon()
for area in on_area:
area_shape = area_shape.union(self._areas[area])
if container is not None:
container = container.intersection(area_shape)
else:
container = area_shape
assert container.area > 0, "`container` and `on_area` have " +\
"empty intersection."
# enter here only if Polygon or `container` is not None
if custom_shape:
seed_area = self.intersection(container)
area_buffer = seed_area.buffer(-soma_radius)
if not area_buffer.is_empty:
seed_area = area_buffer
assert not seed_area.is_empty, "Empty area for seeding, check " +\
"your `container` and min/max values."
if not isinstance(seed_area, (Polygon, MultiPolygon)):
raise ValueError("Invalid boundary value for seed region; "
"check that the min/max values you requested "
"are inside the shape.")
if _opengl_support:
triangles = []
if isinstance(seed_area, MultiPolygon):
for g in seed_area.geoms:
triangles.extend((Polygon(v) for v in triangulate(g)))
else:
triangles = [Polygon(v) for v in triangulate(seed_area)]
positions = rnd_pts_in_tr(triangles, neurons)
else:
logger.warning("Random point generation can be very slow "
"without advanced triangulation methods. "
"Please install PyOpenGL for faster seeding "
"inside complex shapes.")
points = []
while len(points) < neurons:
new_x = uniform(min_x, max_x, neurons - len(points))
new_y = uniform(min_y, max_y, neurons - len(points))
for x, y in zip(new_x, new_y):
p = Point(x, y)
if seed_area.contains(p):
points.append((x, y))
positions = np.array(points)
if unit is not None and unit != self._unit:
positions *= conversion_magnitude(unit, self._unit)
if _unit_support and return_quantity:
from .units import Q_
return positions * Q_("um" if unit is None else unit)
return positions
def clean(self, handPoints, mainImg):
cleanWeight = 0.01
hand = Polygon(handPoints)
if self.frontExposed:
face = Polygon(self.frontPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(
hand) # IMPOSSIBLE GEOMETRY PROBLEM
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.frontPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.frontFace = cv2.addWeighted(self.frontFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
if self.backExposed:
face = Polygon(self.backPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(hand)
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.backPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.backFace = cv2.addWeighted(self.backFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
if self.topExposed:
face = Polygon(self.topPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(hand)
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.topPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.topFace = cv2.addWeighted(self.topFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
if self.bottomExposed:
face = Polygon(self.bottomPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(hand)
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.bottomPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.bottomFace = cv2.addWeighted(self.bottomFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
if self.leftExposed:
face = Polygon(self.leftPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(hand)
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.leftPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.leftFace = cv2.addWeighted(self.leftFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
if self.rightExposed:
face = Polygon(self.rightPoints)
try:
if face.intersects(hand):
intersectionPoly = face.intersection(hand)
intersectionPoly = list(intersectionPoly.exterior.coords)
intersectionMask = np.zeros(
(mainImg.shape[0], mainImg.shape[1]), np.uint8)
cv2.fillPoly(intersectionMask,
[np.int32(intersectionPoly)], (255, 255, 255))
tempColor = np.zeros(
(mainImg.shape[0], mainImg.shape[1], 3), np.uint8)
tempColor[:] = self.color
transformPerspective = cv2.getPerspectiveTransform(
np.array(self.rightPoints, dtype="float32"),
np.array([[0, 0], [memSize_X, 0],
[memSize_X, memSize_Y], [0, memSize_Y]],
dtype="float32"))
intersectionMask = cv2.bitwise_and(tempColor,
tempColor,
mask=intersectionMask)
intersectionMask = cv2.warpPerspective(
intersectionMask, transformPerspective,
(memSize_X, memSize_Y))
self.rightFace = cv2.addWeighted(self.rightFace, 1.0,
intersectionMask,
cleanWeight, 0)
except shapely.errors.TopologicalError:
pass
def calc_iou(poly1, poly2):
assert(len(poly1) == 4 and len(poly2) == 4)
a = Polygon([(p['x'], p['y']) for p in poly1])
b = Polygon([(p['x'], p['y']) for p in poly2])
return a.intersection(b).area / a.union(b).area
class Gui:
def __init__(self):
pygame.init()
self.screen = pygame.display.set_mode((WIDTH, HEIGHT))
self.clock = pygame.time.Clock()
self.mode = INTERIOR_POLY
self.angle_center_pos = 0.0
def new(self):
self.interior_poly_points = []
self.exterior_poly_points = []
self.checkpoint_lines = []
self.interior_polygon = None
self.exterior_polygon = None
def run(self):
self.playing = True
while self.playing:
self.dt = self.clock.tick(
FPS) / 1000 # Controls update speed (FPS per second)
self.events()
self.update()
self.draw()
def close(self):
pygame.quit()
quit()
def update(self):
pygame.display.set_caption(f"{TITLE} || Mode: {self.mode}")
def draw(self):
self.screen.fill(COLORS['grass'])
# Draw interior polygon
point_rad = 30
for x, y in self.interior_poly_points:
pygame.gfxdraw.aacircle(self.screen, x, y, point_rad,
COLORS["red"])
if (len(self.interior_poly_points) >= 3):
pygame.gfxdraw.aapolygon(self.screen, self.interior_poly_points,
COLORS["red"])
# Draw interior polygon
point_rad = 30
for x, y in self.exterior_poly_points:
pygame.gfxdraw.aacircle(self.screen, x, y, point_rad,
COLORS["blue"])
if (len(self.exterior_poly_points) >= 3):
pygame.gfxdraw.aapolygon(self.screen, self.exterior_poly_points,
COLORS["blue"])
# Draw checkpoint lines
for i, p in enumerate(self.checkpoint_lines):
x1, y1 = p[0]
x2, y2 = p[1]
color = Color("#000000")
if i == 0:
color = COLORS["green"]
elif i == len(self.checkpoint_lines) - 1:
color = COLORS["red"]
pygame.gfxdraw.line(self.screen, int(x1), int(y1), int(x2),
int(y2), color)
pygame.display.flip()
def events(self):
# catch all events here
mx, my = pygame.mouse.get_pos()
for event in pygame.event.get():
if event.type == pygame.QUIT:
self.close()
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_1:
self.mode = INTERIOR_POLY
if event.key == pygame.K_2:
self.mode = EXTERIOR_POLY
if event.key == pygame.K_3:
self.mode = CHECKPOINT
if event.key == pygame.K_4:
self.mode = SPAWN_DIRECTION
if event.key == pygame.K_RETURN:
print("> Storing data ...")
output = {
"interior_poly": self.interior_poly_points,
"exterior_poly": self.exterior_poly_points,
"checkpoints": self.checkpoint_lines
}
if type(self.angle_center_pos) == float:
output["direction"] = self.angle_center_pos
else:
output["direction"] = False
with open('Tracks/track_data.json', 'w') as f:
json.dump(output, f, indent=4)
print("> Successfully stored data")
if event.type == pygame.MOUSEBUTTONDOWN:
if self.mode == INTERIOR_POLY:
self.interior_poly_points.append([mx, my])
if len(self.interior_poly_points) >= 3:
self.interior_polygon = Polygon(
self.interior_poly_points)
if self.mode == EXTERIOR_POLY:
self.exterior_poly_points.append([mx, my])
if len(self.exterior_poly_points) >= 3:
self.exterior_polygon = Polygon(
self.exterior_poly_points)
if self.mode == CHECKPOINT:
# Check if location is within proper bounds
pos = [mx, my]
p_pos = Point(pos)
if not (self.exterior_polygon and self.interior_polygon):
return
if not (self.exterior_polygon.contains(p_pos)
and not self.interior_polygon.contains(p_pos)):
return
default_half_length = 800
half_length = default_half_length
degrees = 360
skip = 2
exterior_intersections = []
interior_intersections = []
for i in range(0, degrees, skip):
p1 = [
pos[0] + cos(radians(i)) * half_length,
pos[1] + sin(radians(i)) * half_length
]
p_p1 = Point(p1)
l1 = LineString([p1, pos])
try:
interior_i = self.interior_polygon.intersection(
l1).coords
interior_i = [x for x in interior_i]
interior_i.sort(key=lambda x: hypot(
pos[0] - x[0], pos[1] - x[1]))
exterior_i = self.exterior_polygon.exterior.intersection(
l1).coords
except:
continue
if len(interior_i) > 0:
dist = hypot(pos[0] - interior_i[0][0],
pos[1] - interior_i[0][1])
interior_intersections.append(
[dist, interior_i[0]])
else: #intersects b
dist = hypot(pos[0] - exterior_i[0][0],
pos[1] - exterior_i[0][1])
exterior_intersections.append(
[dist, exterior_i[0]])
interior_intersections.sort(key=lambda x: x[0])
exterior_intersections.sort(key=lambda x: x[0])
final_checkpoint_line = [
interior_intersections[0][1],
exterior_intersections[0][1]
]
self.checkpoint_lines.append(final_checkpoint_line)
if self.mode == SPAWN_DIRECTION:
if type(self.angle_center_pos) == float:
self.angle_center_pos = [mx, my]
else:
self.angle_center_pos = atan2(
self.angle_center_pos[0] - mx,
self.angle_center_pos[1] - my)
print("Angle set to: ",
self.angle_center_pos * (180 / pi))
def polygon_split(polygon: Polygon,
split_line: LineString) -> Optional[Tuple[Polygon, Polygon]]:
"""Split a polygon into two other polygons along split_line.
Attempts to split a polygon into two other polygons. Here, a number of
assumptions has to be made. That is, that split_line is a proper line
connecting boundaries of a polygon. Also, that split_line does not connect
outside boundary to a boundary of hole. This is a undefined behaviour.
TODO: With current implementation, it may be possible to do non-decomposing
cuts. But, some thought needs to be put in.
Assumptions:
Input polygon and split_line are valid.
Args:
polygon: Shapely polygon object.
split_line: Shapely LineString object.
Returns:
(P1, P2): A tuple of Shapely polygons resulted from the split. If error occured,
returns [].
"""
# This calculates the points on the boundary where the split will happen.
ext_line = polygon.exterior
common_pts = ext_line.intersection(split_line)
logger.debug("Cut: %s Intersection: %s" % (split_line, common_pts))
# No intersection check.
if not common_pts:
return None
# This intersection should always have only 2 points.
if not isinstance(common_pts, MultiPoint):
return None
# Should only ever contain two points.
if len(common_pts) != 2:
return None
# Split line should be inside polygon.
if not split_line.within(polygon):
return None
# Check to see if cut line touches any holes
for hole in polygon.interiors:
if split_line.intersects(hole):
return None
split_boundary = ext_line.difference(split_line)
# Check that split_boundary is a collection of linestrings
if not isinstance(split_boundary, MultiLineString):
return None
# Make sure there are only 2 linestrings in the collection
if len(split_boundary) > 3 or len(split_boundary) < 2:
return None
logger.debug("Split boundary: %s", split_boundary)
# Even though we use LinearRing, there is no wrap around and diff produces
# 3 strings. Need to union. Not sure if combining 1st and last strings
# is guaranteed to be the right combo. For now, place a check.
if len(split_boundary) == 3:
if split_boundary[0].coords[0] != split_boundary[-1].coords[-1]:
logger.warn(
"The assumption that pts0[0] == pts2[-1] DOES not hold. Need"
" to investigate.")
return None
line1 = LineString(
list(
list(split_boundary[-1].coords)[:-1] +
list(split_boundary[0].coords)))
else:
line1 = split_boundary[0]
line2 = split_boundary[1]
if len(line1.coords) < 3 or len(line2.coords) < 3:
return None
mask1 = Polygon(line1)
mask2 = Polygon(line2)
if (not mask1.is_valid) or (not mask2.is_valid):
return None
res_p1_pol = polygon.intersection(mask1)
res_p2_pol = polygon.intersection(mask2)
if not isinstance(res_p1_pol, Polygon):
return None
if not isinstance(res_p2_pol, Polygon):
return None
if not res_p1_pol.is_valid:
return None
if not res_p2_pol.is_valid:
return None
return res_p1_pol, res_p2_pol
def determine_occupancy(indexes, box):
global slot2Value, slot3Value
slot2Value = 0
slot3Value = 0
boxess = []
ROI_car = []
ED = []
perc_ED = []
temp = []
IoU = []
Status = []
diagonal_slot = []
centroid_slot_x = []
centroid_slot_y = []
area_slot = []
carX = 0
carY = 0
allCentroidCar = []
ED = []
perc_ED = []
Status = []
min_ed_car = []
car_id = []
count = 0
idx_and_car = []
idx_car_list = []
IoU = []
slotImage = []
carImage = []
iou = []
car_idx = []
# Load koodinat npy
ROI_slot = np.load('coordinate/camera8.npy', allow_pickle=True)
for i in range(len(indexes)):
boxess.append([])
boxess[i].append(box[i][0])
boxess[i].append(box[i][1])
boxess[i].append(box[i][2] + box[i][0])
boxess[i].append(box[i][3] + box[i][1])
for i in range(len(indexes)):
ROI_car.append([(boxess[i][0], boxess[i][3]),
(boxess[i][0], boxess[i][1]),
(boxess[i][2], boxess[i][1]),
(boxess[i][2], boxess[i][3])])
# inisialisasi array
for i in range(len(ROI_slot)):
new = []
new1 = []
new2 = []
new3 = [0, 0]
for j in (ROI_slot[i]):
new.append(0)
new1.append(0)
new2.append(0)
diagonal_slot.append(new)
centroid_slot_x.append(new1)
centroid_slot_y.append(new2)
for i in range(len(ROI_slot)):
new = []
for j in (ROI_slot[i]):
new.append(0)
area_slot.append(new)
for row in range(len(ROI_slot)):
for slots in range(len(ROI_slot[row])):
x1 = ROI_slot[row][slots][0][0]
y1 = ROI_slot[row][slots][0][1]
x2 = ROI_slot[row][slots][1][0]
y2 = ROI_slot[row][slots][1][1]
x3 = ROI_slot[row][slots][2][0]
y3 = ROI_slot[row][slots][2][1]
x4 = ROI_slot[row][slots][3][0]
y4 = ROI_slot[row][slots][3][1]
# menghitung centroid slot
centroid_slot_x[row][slots] = (x3 + x1) / 2
centroid_slot_y[row][slots] = (y3 + y1) / 2
d1 = math.sqrt(((y3 - y1)**2) + ((x3 - x1)**2))
d2 = math.sqrt(((y4 - y2)**2) + ((x4 - x2)**2))
if d1 < d2:
diagonal_slot[row][slots] = d1
else:
diagonal_slot[row][slots] = d2
area_slot[row][slots] = (abs(
((x1 * y2 - y1 * x2) + (x2 * y3 - y2 * x3) +
(x3 * y4 - y3 * x4) + (x4 * y1 - y4 * x1)) / 2))
# plotting slot parkir
plottedImage = image.copy()
rows, cols, channels = plottedImage.shape
for i in range(len(ROI_slot)):
new = []
new1 = []
new2 = []
for j in (ROI_slot[i]):
new.append(0)
new1.append(0)
new2.append(0)
ED.append(new)
perc_ED.append(new)
Status.append(new1)
IoU.append(new2)
# gambar titik centroid di mobil
for car in range(len(ROI_car)):
x1 = ROI_car[car][0][0]
y1 = ROI_car[car][0][1]
x3 = ROI_car[car][2][0]
y3 = ROI_car[car][2][1]
centroid_car_x = (x1 + x3) / 2
centroid_car_y = (y1 + y3) / 2
allCentroidCar.append((int(centroid_car_x), int(centroid_car_y)))
mod = cv2.circle(plottedImage,
(int(centroid_car_x), int(centroid_car_y)), 4,
(0, 0, 255), -1)
intersect = []
count = 0
for row in range(len(ROI_slot)):
slotImage.append([])
carImage.append([])
iou.append([])
for slots in range(len(ROI_slot[row])):
slotImage[row].append([])
carImage[row].append([])
iou[row].append([])
slotImage[row][slots] = np.zeros_like(image)
carImage[row][slots] = np.zeros_like(image)
centroid_slot_xx = centroid_slot_x[row][slots]
centroid_slot_yy = centroid_slot_y[row][slots]
# titik di slot
mod = cv2.circle(plottedImage,
(int(centroid_slot_xx), int(centroid_slot_yy)), 4,
(0, 0, 255), -1)
temp = []
temp2 = []
for car in range(len(ROI_car)):
x1 = ROI_car[car][0][0]
y1 = ROI_car[car][0][1]
x3 = ROI_car[car][2][0]
y3 = ROI_car[car][2][1]
centroid_car_x = (x1 + x3) / 2
centroid_car_y = (y1 + y3) / 2
temp.append(
math.sqrt(((centroid_slot_yy - centroid_car_y)**2) +
((centroid_slot_xx - centroid_car_x)**2)))
temp2.append(car)
p = Polygon(ROI_slot[row][slots])
q = Polygon(ROI_car[car])
intersect.append(q.intersection(p).area)
min_ed = min(temp)
idx = temp.index(min(temp))
idx_car = temp2[idx]
idx_car_list.append(idx_car)
min_ed_car.append([idx_car, row, slots, min_ed])
roi1 = np.array(ROI_slot[row][slots])
roi2 = np.array(ROI_car[idx_car])
cv2.fillPoly(slotImage[row][slots], pts=[roi1], color=(0, 0, 255))
cv2.fillPoly(carImage[row][slots], pts=[roi2], color=(0, 0, 255))
iou[row][slots] = cv2.bitwise_and(slotImage[row][slots],
carImage[row][slots])
iouu = np.array(iou[row][slots])
# print(iouu)
dst = cv2.add(plottedImage, iouu)
plottedImage[0:rows, 0:cols] = dst
ED[row][slots] = min(temp)
perc_ED[row][slots] = (ED[row][slots] /
diagonal_slot[row][slots]) * 100
max_intrsct = max(intersect)
IoU[row][slots] = ((max_intrsct / area_slot[row][slots]) * 100)
if perc_ED[row][slots] < 75:
if IoU[row][slots] == 0:
Status[row][slots] = 'VACANT'
elif IoU[row][slots] > 0:
Status[row][slots] = 'OCCUPIED'
else:
Status[row][slots] = 'VACANT'
x = [min_ed_car[i][0] for i in range(len(min_ed_car))]
h = max(idx_car_list)
for count in range(h + 1):
tempp = []
slott = []
for i in range(len(x)):
if (x[i] in x[:i]) or (x[i] in x[i + 1:]):
if x[i] == count:
tempp.append(min_ed_car[i][3])
slott.append([min_ed_car[i][1], min_ed_car[i][2]])
if not tempp:
minn = 99999
else:
minn = min(tempp)
indx = tempp.index(min(tempp))
for i in range(len(slott)):
if (i == indx):
ED[slott[i][0]][slott[i][1]] = minn
perc_ED[slott[i][0]][slott[i][1]] = (
ED[slott[i][0]][slott[i][1]] /
diagonal_slot[slott[i][0]][slott[i][1]]) * 100
if perc_ED[slott[i][0]][slott[i][1]] < 75:
Status[slott[i][0]][slott[i][1]] = 'OCCUPIED'
else:
Status[slott[i][0]][slott[i][1]] = 'VACANT'
else:
Status[slott[i][0]][slott[i][1]] = 'VACANT'
for row in range(len(ROI_slot)):
for slots in range(len(ROI_slot[row])):
if Status[row][slots] == 'OCCUPIED':
slot2Value += 1
else:
slot3Value += 1
fontScale = 0.8
for row in range(len(ROI_slot)):
for slots in range(len(ROI_slot[row])):
# draw ROI_slot
mod = cv2.polylines(plottedImage,
np.int32([ROI_slot[row][slots]]),
True, (255, 0, 0),
thickness=2)
# draw Status_slot
mod = cv2.putText(plottedImage, Status[row][slots],
(int(centroid_slot_x[row][slots]) - 10,
int(centroid_slot_y[row][slots])),
cv2.FONT_HERSHEY_SIMPLEX, 0.3, (255, 255, 0), 1,
cv2.LINE_AA)
# Text slot
# PENTING extY GANTI KE '0' UNTUK CAMERA 8 DAN '15' UNTUK CAMERA 1. BIAR TIDAK TUMPANG TINDIH
extY = 0
minROISlot = min(ROI_slot[row][slots])
org = (minROISlot[0], minROISlot[1] + extY)
slotId = "(" + str(row) + "-" + str(slots) + ")"
font = cv2.FONT_HERSHEY_PLAIN
cv2.putText(plottedImage, slotId, org, font, fontScale,
(255, 255, 255), 1)
for row in range(len(ROI_slot)):
for slots in range(len(ROI_slot[row])):
distancez = []
if Status[row][slots] == 'VACANT':
continue
else:
centSlotX = int(centroid_slot_x[row][slots])
centSlotY = int(centroid_slot_y[row][slots])
for i in allCentroidCar:
distancez.append(
euclideanDistance((centSlotX, centSlotY),
(i[0], i[1])))
minDistancezIndex = distancez.index(min(distancez))
centCarX = allCentroidCar[minDistancezIndex][0]
centCarY = allCentroidCar[minDistancezIndex][1]
mod = cv2.line(plottedImage, (centSlotX, centSlotY),
(centCarX, centCarY), (0, 255, 255), 2)
return plottedImage
def calculate_IOU_cornell(box_model, box_label):
p1 = Polygon(box_model).convex_hull
p2 = Polygon(box_label).convex_hull
iou = p1.intersection(p2).area / (p1.area + p2.area -
p1.intersection(p2).area)
return iou