def pedestal(obj=None, d=1.0):
"""
A pedestal with an optional object on top.
Sits centered on its base.
"""
pedestal = ddd.cube(d=d / 2.0).material(ddd.mats.bronze)
pedestal = ddd.uv.map_cubic(pedestal)
obj = obj.translate([0, 0, d])
item = ddd.group([pedestal, obj], name="Pedestal: %s" % obj.name)
return item
def osm_extras_mapillary_get(pipeline, osm, root, logger):
# Add mapillary items
# TODO: Move to separate task and rule module, separate point generation from image/metadata generation, reuse code, this could be much shorter
mc = MapillaryClient(client_id=pipeline.data['mapillary:client_id'])
transformer = pyproj.Transformer.from_proj(osm.osm_proj, osm.ddd_proj)
transformer2 = pyproj.Transformer.from_proj(osm.ddd_proj, osm.osm_proj)
query_coords = osm.area_crop2.centroid().geom.coords[0]
query_coords = project_coordinates(query_coords, transformer2)
query_limit = 200
query_radius = 500
logger.info("Requesting Mapillary images near to (limit=%d, radius=%d)",
query_coords, query_limit, query_radius)
data = mc.images_list(query_coords, limit=query_limit, radius=query_radius)
for feature in data['features'][:]:
key = feature['properties']['key']
pano = feature['properties']['pano']
camera_angle = feature['properties']['ca']
geom = feature['geometry']
coords = geom['coordinates']
#coords = (float(coords[0]) * 111000.0, float(coords[1]) * 111000.0)
coords = project_coordinates(coords, transformer)
logger.debug(
"Mapillary Image: %s CameraAngle: %.1f Pano: %s Coords: %s" %
(key, camera_angle, pano, coords))
mc.request_image(key)
image = mc.image_textured(feature).scale([3, 3, 3])
image_height = 1.5
image = image.translate([0, 1, 0])
image = image.rotate([0, 0, (0 + (-camera_angle)) * ddd.DEG_TO_RAD])
image = image.translate([coords[0], coords[1], image_height])
cam = ddd.cube(d=0.05).translate([coords[0], coords[1], image_height
]).material(ddd.mats.highlight)
image.append(cam)
image = terrain.terrain_geotiff_min_elevation_apply(
image, osm.ddd_proj)
osm.other_3d.append(image)
logger.info("Added %d images from Mapillary.", len(osm.other_3d.children))
# Optinally save Mapillary data only
if osm.other_3d.children:
osm.other_3d.save("/tmp/mapi.glb")
def fountain(r=1.5):
# Base
base = ddd.disc(r=r, resolution=2).extrude(0.30).material(ddd.mats.stone)
base = ddd.uv.map_cylindrical(base)
# Fountain
fountain = ddd.sphere(r=r, subdivisions=1).subtract(ddd.cube(d=r * 1.2)).subtract(ddd.sphere(r=r - 0.2, subdivisions=1))
fountain = fountain.translate([0, 0, 1.2]) # TODO: align
fountain = fountain.material(ddd.mats.stone)
fountain = ddd.uv.map_spherical(fountain)
#.subtract(base)
# Water
water = ddd.disc(r=r-0.2, resolution=2).triangulate().translate([0, 0, 1.1]).material(ddd.mats.water)
water.extra['ddd:collider'] = False
water.extra['ddd:occluder'] = False
water.extra['ddd:shadows'] = False
item = ddd.group([base, fountain, water])
return item
def pipeline_start(pipeline, root):
"""
Tests subdivision on several geometries (check wireframe).
"""
items = ddd.group3()
# Subdivision to grid
fig1 = ddd.rect([-4, -2, 4, 2])
fig2 = ddd.rect([-3, -1, -1, 1])
figh = fig1.subtract(fig2)
fig = figh.extrude_step(figh,
1.0,
base=False,
method=ddd.EXTRUSION_METHOD_SUBTRACT)
fig = fig.extrude_step(figh.buffer(-0.25),
1.0,
method=ddd.EXTRUSION_METHOD_SUBTRACT)
fig = fig.material(ddd.mats.logo)
fig = ddd.uv.map_cubic(fig)
fig = ddd.meshops.subdivide_to_grid(fig, 0.5)
fig.show()
items.append(fig)
# Test slicing with plane
figa = ddd.meshops.slice_plane(fig, [-1, -1, -1], [0.3, 0.3, 0.3])
#figa = ddd.uv.map_cubic(figa) # This should not be needed, slice_plane should do this
figb = ddd.meshops.slice_plane(fig, [1, 1, 1],
[0.3, 0.3, 0.3]).material(ddd.MAT_HIGHLIGHT)
ddd.group([figa, figb]).show()
# Subdivide to grid
coords = [[10, 10], [5, 9], [3, 12], [1, 5], [-8, 0], [10, 0]]
ref = ddd.polygon(coords).subtract(ddd.rect([1, 1, 2, 2]))
obj = ref.triangulate()
obj = ddd.meshops.subdivide_to_grid(obj, 2.0)
#obj= obj.subdivide_to_size(2.0)
#ddd.group3([obj, ref.triangulate().material(ddd.MAT_HIGHLIGHT).translate([0, 0, -1])]).show()
items.append(obj.scale([0.1, 0.1, 1]).translate([0, 0, 1]))
# Subdivide to grid (cube)
obj = ddd.cube(d=2)
obj = obj.material(ddd.mats.dirt)
obj = ddd.uv.map_cubic(obj)
obj = ddd.meshops.subdivide_to_grid(obj, 0.5)
#obj.show()
items.append(obj)
# Subdivide
fig1 = ddd.rect().extrude(1)
fig1 = fig1.subdivide_to_size(0.5)
items.append(fig1)
#fig1.show()
fig1 = ddd.rect([1, 3]).extrude(1)
fig1 = fig1.subdivide_to_size(0.5)
items.append(fig1)
# Pointy end
fig = ddd.point().buffer(0.5, cap_style=ddd.CAP_ROUND)
fig = fig.extrude_step(ddd.point(), 2)
fig = fig.subdivide_to_size(0.5)
items.append(fig)
# Remove bottom test
fig = ddd.cube(d=2)
fig = fig.subdivide_to_size(1.0)
fig = ddd.meshops.remove_faces_pointing(fig, ddd.VECTOR_DOWN)
items.append(fig)
# All items
items = ddd.align.grid(items, space=10.0)
items.append(ddd.helper.all())
items.show()
root.append(items)
camera_angle = feature['properties']['ca']
geom = feature['geometry']
coords = geom['coordinates']
coords = (float(coords[0]) * 111000.0, float(coords[1]) * 111000.0)
print("Image: %s CameraAngle: %s Pano: %s Coords: %s" % (key, camera_angle, pano, coords))
mc.request_image(key)
image = mc.image_textured(feature)
image_height = 1.5
image = image.translate([0, 1, 0])
image = image.rotate([0, 0, (-camera_angle + 180) * ddd.DEG_TO_RAD])
image = image.translate([coords[0], coords[1], image_height])
cam = ddd.cube(d=0.1).translate([coords[0], coords[1], image_height]).material(ddd.mats.highlight)
obj = ddd.group([image, cam], name="Image")
items.append(obj)
#item.show()
#items = ddd.align.grid(items)
items = items.recenter(onplane=True)
items.append(ddd.helper.all())
items.save("/tmp/test.json")
items.save("/tmp/test.glb")
items.show()
from trimesh.grouping import merge_vertices items = ddd.group3() # Subdivide fig1 = ddd.rect().extrude(1) fig1 = fig1.subdivide_to_size(0.5) items.append(fig1) #fig1.show() fig1 = ddd.rect([1, 3]).extrude(1) fig1 = fig1.subdivide_to_size(0.5) items.append(fig1) # Pointy end fig = ddd.point().buffer(0.5, cap_style=ddd.CAP_ROUND) fig = fig.extrude_step(ddd.point(), 2) fig = fig.subdivide_to_size(0.5) items.append(fig) # Remove bottom test fig = ddd.cube(d=2) fig = fig.subdivide_to_size(1.0) fig = ddd.meshops.remove_faces_pointing(fig, ddd.VECTOR_DOWN) items.append(fig) # All items items = ddd.align.grid(items, space=10.0) items.append(ddd.helper.all()) items.show()