nan
89087fc2e2
- Implemented the "O Image Relief Plane" Geometry Nodes group to create a fixed-base image relief using depth images and various parameters. - Created the "O Shadeless" shader node group to display color without scene lighting while preserving shadows and reflections. - Introduced a preview feature for node groups, allowing for interactive visualization of node arrangements in an HTML format. - Added a template HTML file for rendering node previews with customizable views and controls.
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
|
|
|
|
import sys
|
|
from pathlib import Path
|
|
from unittest.mock import patch
|
|
import numpy as np
|
|
|
|
SOURCE_ROOT = Path(__file__).parents[1] / "src"
|
|
|
|
sys.path.insert(0, str(SOURCE_ROOT))
|
|
|
|
|
|
from anyimage.server.models import moge2 as moge2_model
|
|
from anyimage.server.models.geometry import GeometryFrame
|
|
|
|
|
|
def test_geometry_frame_requires_matching_float32_fields():
|
|
with np.testing.assert_raises_regex(ValueError, "validity"):
|
|
GeometryFrame(
|
|
depth=np.ones((2, 2), dtype=np.float32),
|
|
validity=np.ones((1, 2), dtype=np.float32),
|
|
intrinsics=np.eye(3, dtype=np.float32),
|
|
)
|
|
with np.testing.assert_raises_regex(ValueError, "normal"):
|
|
GeometryFrame(
|
|
depth=np.ones((2, 2), dtype=np.float32),
|
|
validity=np.ones((2, 2), dtype=np.float32),
|
|
intrinsics=np.eye(3, dtype=np.float32),
|
|
normal=np.ones((2, 2, 2), dtype=np.float32),
|
|
)
|
|
|
|
|
|
def test_moge_infer_returns_geometry_frames_with_model_validity():
|
|
mask = np.asarray(((1.0, 0.2), (0.7, 0.0)), dtype=np.float32)
|
|
prediction = {
|
|
"depth": np.ones((2, 2), dtype=np.float32),
|
|
"normal": np.zeros((2, 2, 3), dtype=np.float32),
|
|
"mask": mask,
|
|
"intrinsics": np.asarray(
|
|
((1.0, 0.0, 0.5), (0.0, 1.0, 0.5), (0.0, 0.0, 1.0)),
|
|
dtype=np.float32,
|
|
),
|
|
"points": np.ones((2, 2, 3), dtype=np.float32),
|
|
}
|
|
|
|
with patch.object(moge2_model, "infer_one", return_value=prediction):
|
|
frames = moge2_model.infer(None, {}, ["image"], include_points=True)
|
|
|
|
assert len(frames) == 1
|
|
frame = frames[0]
|
|
assert np.array_equal(frame.validity, mask.astype(np.float32))
|
|
assert np.array_equal(frame.normal, prediction["normal"])
|
|
assert np.array_equal(frame.points, prediction["points"])
|
|
assert np.array_equal(
|
|
frame.intrinsics,
|
|
np.asarray(((2.0, 0.0, 1.0), (0.0, 2.0, 1.0), (0.0, 0.0, 1.0))),
|
|
)
|
|
|
|
|
|
def test_moge_z_depth_frame_does_not_require_points():
|
|
prediction = {
|
|
"depth": np.ones((2, 2), dtype=np.float32),
|
|
"normal": np.zeros((2, 2, 3), dtype=np.float32),
|
|
"mask": np.ones((2, 2), dtype=bool),
|
|
"intrinsics": np.eye(3, dtype=np.float32),
|
|
"points": np.ones((2, 2, 3), dtype=np.float32),
|
|
}
|
|
|
|
with patch.object(moge2_model, "infer_one", return_value=prediction):
|
|
frame = moge2_model.infer(None, {}, ["image"], include_points=False)[0]
|
|
|
|
assert frame.points is None
|
|
assert frame.validity.all()
|