R2SE_model / mmdet3d_plugin /datasets /data_utils /nuplan_vector_map.py
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import os
import numpy as np
from pyquaternion import Quaternion
from shapely import affinity, ops
from shapely.geometry import LineString, box, MultiPolygon, MultiLineString
from nuplan.common.maps.nuplan_map.map_factory import get_maps_api
from nuplan.common.maps.maps_datatypes import SemanticMapLayer
class VectorizedLocalMap(object):
CLASS2LABEL = {
SemanticMapLayer.LANE: 0,
SemanticMapLayer.LANE_CONNECTOR: 0,
SemanticMapLayer.CROSSWALK: 1,
SemanticMapLayer.ROADBLOCK: 2,
SemanticMapLayer.INTERSECTION: 2,
SemanticMapLayer.CARPARK_AREA: 2,
SemanticMapLayer.ROADBLOCK_CONNECTOR: 2,
SemanticMapLayer.WALKWAYS: 3
}
def __init__(
self,
map_root,
map_version='nuplan-maps-v1.0',
patch_size=(100, 100), # h, w
map_classes={
'centerline': [SemanticMapLayer.LANE, SemanticMapLayer.LANE_CONNECTOR],
'ped_crossing': [SemanticMapLayer.CROSSWALK],
'road_boundary': [SemanticMapLayer.ROADBLOCK, SemanticMapLayer.INTERSECTION, SemanticMapLayer.CARPARK_AREA],
# 'sidewalk': [SemanticMapLayer.WALKWAYS]
},
need_merged=['road_boundary'],
):
super().__init__()
self.map_classes = map_classes
self.patch_size = patch_size
self.need_merged = need_merged
self.MAP_APIS_DICT = {
"us-pa-pittsburgh-hazelwood" : get_maps_api(map_root, map_version, "us-pa-pittsburgh-hazelwood"),
"sg-one-north" : get_maps_api(map_root, map_version, "sg-one-north"),
"us-ma-boston" : get_maps_api(map_root, map_version, "us-ma-boston"),
"us-nv-las-vegas-strip" : get_maps_api(map_root, map_version, "us-nv-las-vegas-strip")
}
def get_patch_coord(self, patch_box, patch_angle: float = 0.0):
"""
Convert patch_box to shapely Polygon coordinates.
:param patch_box: Patch box defined as [x_center, y_center, height, width].
:param patch_angle: Patch orientation in degrees.
:return: Box Polygon for patch_box.
"""
patch_x, patch_y, patch_h, patch_w = patch_box
x_min = patch_x - patch_w / 2.0
y_min = patch_y - patch_h / 2.0
x_max = patch_x + patch_w / 2.0
y_max = patch_y + patch_h / 2.0
patch = box(x_min, y_min, x_max, y_max)
patch = affinity.rotate(patch, patch_angle, origin=(patch_x, patch_y), use_radians=False)
return patch
def gen_vectorized_samples(self, e2g_T, e2g_R, map_location):
'''
use lidar2global to get gt map layers
'''
x, y = (e2g_T[0], e2g_T[1])
patch_angle = Quaternion(e2g_R).yaw_pitch_roll[0]
patch_box = (x, y, self.patch_size[0], self.patch_size[1])
patch_angle = patch_angle / np.pi * 180
vectors = []
for idx, class_name in enumerate(self.map_classes):
geom = self.get_map_geom(patch_box, patch_angle, self.map_classes[class_name], map_location)
if class_name in self.need_merged:
line_list = self.merge_polys_to_lines(geom)
else:
line_list = self.geoms_to_lines(geom)
for line in line_list:
vectors.append({
'pts': line.astype(np.float32),
'pts_num': line.shape[0],
'type': idx
})
return vectors
def gen_drivable_area(self, e2g_T, e2g_R, map_location,no_transform=False):
x, y = (e2g_T[0], e2g_T[1])
patch_angle = Quaternion(e2g_R).yaw_pitch_roll[0]
patch_box = (x, y, self.patch_size[0], self.patch_size[1])
patch_angle = patch_angle / np.pi * 180
geom = self.get_map_geom(patch_box, patch_angle, self.map_classes['road_boundary'], map_location,no_transform)
multi_polygon = self.merge_polys_to_one(geom)
return multi_polygon
def get_map_geom(self, patch_box, patch_angle, layer_names, map_location, no_transform=False):
patch_x = patch_box[0]
patch_y = patch_box[1]
patch = self.get_patch_coord(patch_box, patch_angle)
map_api = self.MAP_APIS_DICT[map_location]
map_geom = []
for layer_name in layer_names:
records = map_api._get_proximity_map_object(patch, layer_name)
for record in records:
if layer_name in [SemanticMapLayer.LANE, SemanticMapLayer.LANE_CONNECTOR]:
line = record.baseline_path.linestring
new_line = line.intersection(patch)
if new_line.is_empty:
continue
if not no_transform:
new_line = affinity.rotate(new_line, -patch_angle, origin=(patch_x, patch_y), use_radians=False)
new_line = affinity.affine_transform(new_line,
[1.0, 0.0, 0.0, 1.0, -patch_x, -patch_y])
map_geom.append((layer_name, new_line))
elif layer_name in [SemanticMapLayer.CROSSWALK, SemanticMapLayer.WALKWAYS, SemanticMapLayer.ROADBLOCK, SemanticMapLayer.INTERSECTION]:
polygon = record.polygon
if polygon.is_valid:
new_polygon = polygon.intersection(patch)
if new_polygon.is_empty:
continue
new_polygon = affinity.rotate(new_polygon, -patch_angle,
origin=(patch_x, patch_y), use_radians=False)
new_polygon = affinity.affine_transform(new_polygon,
[1.0, 0.0, 0.0, 1.0, -patch_x, -patch_y])
if new_polygon.geom_type == 'Polygon':
new_polygon = MultiPolygon([new_polygon])
map_geom.append((layer_name, new_polygon))
return map_geom
def _one_type_line_geom_to_instances(self, line_geom):
line_instances = []
for line in line_geom:
if not line.is_empty:
if line.geom_type == 'MultiLineString':
for single_line in line.geoms:
line_instances.append(single_line)
elif line.geom_type == 'LineString':
line_instances.append(line)
else:
print(line.geom_type)
raise NotImplementedError
line_instances = [np.asarray(line.coords) for line in line_instances if len(line.coords) > 1]
return line_instances
def geoms_to_lines(self, geoms):
lines = []
for layer_name, geom in geoms:
if geom.geom_type == 'MultiPolygon':
lines.extend(self.poly_to_lines(geom))
else:
lines.append(geom)
return self._one_type_line_geom_to_instances(lines)
def poly_to_lines(self, poly):
max_x = self.patch_size[1] / 2
max_y = self.patch_size[0] / 2
local_patch = box(-max_x + 0.2, -max_y + 0.2, max_x - 0.2, max_y - 0.2)
if poly.geom_type == 'Polygon':
poly = MultiPolygon([poly])
exteriors = []
interiors = []
for p in poly.geoms:
exteriors.append(p.exterior)
for inter in p.interiors:
interiors.append(inter)
results = []
for ext in exteriors:
if ext.is_ccw:
ext.coords = list(ext.coords)[::-1]
lines = ext.intersection(local_patch)
if isinstance(lines, MultiLineString):
lines = ops.linemerge(lines)
results.append(lines)
for inter in interiors:
if not inter.is_ccw:
inter.coords = list(inter.coords)[::-1]
lines = inter.intersection(local_patch)
if isinstance(lines, MultiLineString):
lines = ops.linemerge(lines)
results.append(lines)
return results
def merge_polys_to_lines(self, polygon_geom):
roads = [poly[1] for poly in polygon_geom]
exteriors = []
interiors = []
union_segments = ops.unary_union(roads)
if union_segments.geom_type != 'MultiPolygon':
union_segments = MultiPolygon([union_segments])
for poly in union_segments.geoms:
exteriors.append(poly.exterior)
for inter in poly.interiors:
interiors.append(inter)
max_x = self.patch_size[1] / 2
max_y = self.patch_size[0] / 2
# cut polygon to lines
local_patch = box(-max_x + 0.2, -max_y + 0.2, max_x - 0.2, max_y - 0.2)
results = []
for ext in exteriors:
if ext.is_ccw:
ext.coords = list(ext.coords)[::-1]
lines = ext.intersection(local_patch)
if isinstance(lines, MultiLineString):
lines = ops.linemerge(lines)
results.append(lines)
for inter in interiors:
if not inter.is_ccw:
inter.coords = list(inter.coords)[::-1]
lines = inter.intersection(local_patch)
if isinstance(lines, MultiLineString):
lines = ops.linemerge(lines)
results.append(lines)
return self._one_type_line_geom_to_instances(results)
def merge_polys_to_one(self, polygon_geom):
roads = [poly[1] for poly in polygon_geom]
union_segments = ops.unary_union(roads)
if union_segments.geom_type != 'MultiPolygon':
union_segments = MultiPolygon([union_segments])
return union_segments