def test_errors(png_fname, encoding):
"""Test errors output from martini.create_tile(terrain)
"""
# Generate errors output in Python
path = this_dir() / f'data/{png_fname}.png'
png = imread(path)
terrain = decode_ele(png, encoding=encoding)
martini = Martini(png.shape[0] + 1)
tile = martini.create_tile(terrain)
errors = np.asarray(tile.errors_view, dtype=np.float32)
# Load JS errors output
path = this_dir() / f'data/{png_fname}_errors'
with open(path, 'rb') as f:
exp_errors = np.frombuffer(f.read(), dtype=np.float32)
assert np.array_equal(errors, exp_errors), 'errors not matching expected'
def test_mesh(png_fname, max_error, encoding):
# Generate mesh output in Python
path = this_dir() / f'data/{png_fname}.png'
png = imread(path)
terrain = decode_ele(png, encoding=encoding)
martini = Martini(png.shape[0] + 1)
tile = martini.create_tile(terrain)
vertices, triangles = tile.get_mesh(max_error)
# Load JS mesh output
path = this_dir() / f'data/{png_fname}_vertices_{max_error}'
with open(path, 'rb') as f:
exp_vertices = np.frombuffer(f.read(), dtype=np.uint16)
path = this_dir() / f'data/{png_fname}_triangles_{max_error}'
with open(path, 'rb') as f:
exp_triangles = np.frombuffer(f.read(), dtype=np.uint32)
assert np.array_equal(vertices,
exp_vertices), 'vertices not matching expected'
assert np.array_equal(triangles,
exp_triangles), 'triangles not matching expected'
from imageio import imread
from pymartini import Martini, decode_ele
path = './test/data/fuji.png'
fuji = imread(path)
terrain = decode_ele(fuji, 'mapbox')
start = time()
martini = Martini(fuji.shape[0] + 1)
end = time()
print(f'init tileset: {(end - start) * 1000:.3f}ms')
start = time()
tile = martini.create_tile(terrain)
end = time()
print(f'create tile: {(end - start) * 1000:.3f}ms')
start = time()
vertices, triangles = tile.get_mesh(30)
end = time()
print(f'mesh (max_error=30): {(end - start) * 1000:.3f}ms')
print(f'vertices: {len(vertices) / 2}, triangles: {len(triangles) / 3}')
all_meshes_start = time()
for i in range(21):
start = time()
tile.get_mesh(i)
end = time()
print(f'mesh {i}: {(end - start) * 1000:.3f}ms')
def _mesh(
z: int = None,
x: int = None,
y: int = None,
scale: int = 1,
url: str = None,
mesh_max_error: float = 10,
pixel_selection: str = "first",
resampling_method: str = "nearest",
mesh_algorithm: str = "pydelatin",
flip_y: str = "True",
) -> Tuple:
"""Handle tile requests."""
if not url:
return ("NOK", "text/plain", "Missing URL parameter")
# Coerce flip_y to bool
if not isinstance(flip_y, bool):
flip_y = flip_y in ['True', 'true']
use_delatin = 'delatin' in mesh_algorithm.lower()
tile_size = 256 * int(scale)
assets = find_assets(x, y, z, url, tile_size)
if assets is None:
return ("NOK", "text/plain", "no assets found")
tile = load_assets(
x,
y,
z,
assets,
tile_size,
# Only need to backfill for martini, not delatin
backfill=not use_delatin,
input_format=url,
pixel_selection=pixel_selection,
resampling_method=resampling_method)
# Need to transpose; must be before passing to Martini
tile = tile.T
if tile is None:
return ("EMPTY", "text/plain", "empty tiles")
bounds = mercantile.bounds(mercantile.Tile(x, y, z))
mesh_max_error = float(mesh_max_error)
if use_delatin:
tin = Delatin(tile, max_error=mesh_max_error)
vertices, triangles = tin.vertices, tin.triangles.flatten()
rescaled = delatin_rescale_positions(vertices, bounds, flip_y=flip_y)
else:
martini = Martini(tile_size + 1)
mar_tile = martini.create_tile(tile)
vertices, triangles = mar_tile.get_mesh(mesh_max_error)
rescaled = martini_rescale_positions(vertices,
tile,
bounds=bounds,
flip_y=flip_y)
with BytesIO() as f:
quantized_mesh_encoder.encode(f, rescaled, triangles)
f.seek(0)
return ("OK", "application/vnd.quantized-mesh", f.read())