nan
938d95db0f
- Implemented a preview tool for rectifying images with interactive aspect controls in `preview.py`. - Added tests for depth metadata loading to ensure consistent schema usage in `test_depth_metadata.py`. - Developed comprehensive tests for cutout calibration processes in `test_cutout_calibration.py`, including stability checks and depth calibration. - Created tests for frame compositing operations in `test_frame_compositing.py`, ensuring correct handling of depth and transparency. - Introduced material slot inheritance functionality in `material_slots.py` to manage geometry material assignments. - Built shared shader nodes for material processing in `shader.py`, including roughness and bump mapping setups.
79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
from unittest.mock import patch
|
|
import numpy as np
|
|
|
|
|
|
from anyimage.operators.cutout_tool import balloon
|
|
from anyimage.operators.cutout_tool.balloon import poisson_balloon_profile
|
|
|
|
|
|
def test_poisson_balloon_profile_is_zero_on_boundary_and_positive_inside():
|
|
points = np.asarray(
|
|
((0, 0), (2, 0), (2, 2), (0, 2), (1, 1)),
|
|
dtype=float,
|
|
)
|
|
faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
|
|
boundary = np.asarray((True, True, True, True, False))
|
|
|
|
profile = poisson_balloon_profile(points, faces, boundary)
|
|
|
|
assert np.all(profile[:4] == 0.0)
|
|
assert profile[4] > 0.0
|
|
|
|
|
|
def test_poisson_balloon_profile_scales_in_world_units():
|
|
points = np.asarray(
|
|
((0, 0), (2, 0), (2, 2), (0, 2), (1, 1)),
|
|
dtype=float,
|
|
)
|
|
faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
|
|
boundary = np.asarray((True, True, True, True, False))
|
|
|
|
original = poisson_balloon_profile(points, faces, boundary)
|
|
scaled = poisson_balloon_profile(points * 2.0, faces, boundary)
|
|
|
|
assert np.isclose(scaled[4], original[4] * 2.0, atol=1e-6)
|
|
|
|
|
|
def test_poisson_balloon_profile_makes_wide_selections_thicker():
|
|
faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
|
|
boundary = np.asarray((True, True, True, True, False))
|
|
wide = np.asarray(
|
|
((0, 0), (4, 0), (4, 2), (0, 2), (2, 1)),
|
|
dtype=float,
|
|
)
|
|
narrow = np.asarray(
|
|
((0, 0), (4, 0), (4, 0.6), (0, 0.6), (2, 0.3)),
|
|
dtype=float,
|
|
)
|
|
|
|
wide_profile = poisson_balloon_profile(wide, faces, boundary)
|
|
narrow_profile = poisson_balloon_profile(narrow, faces, boundary)
|
|
|
|
assert wide_profile[4] > narrow_profile[4]
|
|
|
|
|
|
def test_teddy_balloon_profile_uses_chordal_axis_radius():
|
|
points = np.asarray(
|
|
((0, 0), (4, 0), (4, 2), (0, 2), (2, 1)),
|
|
dtype=float,
|
|
)
|
|
faces = ((0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4))
|
|
boundary = np.asarray((True, True, True, True, False))
|
|
nodes = np.asarray(((1, 1), (3, 1)), dtype=float)
|
|
|
|
with patch.object(
|
|
balloon,
|
|
"chordal_axis",
|
|
return_value=(nodes, [(0, 1)], np.asarray((1.0, 1.0))),
|
|
):
|
|
profile = balloon.teddy_balloon_heights(
|
|
points,
|
|
faces,
|
|
points[:4],
|
|
boundary,
|
|
0.45,
|
|
)
|
|
|
|
assert np.all(profile[:4] == 0.0)
|
|
assert np.isclose(profile[4], 0.45, atol=1e-6)
|