Add comprehensive tests for image processing and mask functionalities

- Introduced tests for color image handling, ensuring source preservation and premultiplied alpha usage.
- Implemented tests for brush stroke operations, validating segment boundaries and brush anti-aliasing.
- Added tests for frame anti-aliasing, confirming correct rendering behavior with various alpha values and depth settings.
- Created tests for frame projection, ensuring accurate overlap calculations and half-plane clipping.
- Developed tests for image premultiplied retention, verifying behavior during loading and packing processes.
- Added undo functionality tests for mask operations, ensuring single transaction behavior during edits.

src/anyimage/operators/cutout_tool/geometry.py

@@ -1213,7 +1213,7 @@ def depth_balloon_projection_parameters(
     )
     if not usable.any():
         raise ValueError("MoGe-2 found no valid Depth Balloon samples")
-    local_coordinates = vertices[:, 1:]
+    local_coordinates = vertices[:, :2]
     metric_depth = sampled[usable] * float(uniform_scale)
     plane = _stable_plane(local_coordinates[usable], metric_depth)
     reference = metric_depth_reference(
@@ -1221,7 +1221,7 @@ def depth_balloon_projection_parameters(
         calibration_valid,
         uniform_scale,
     )
-    direction = np.asarray((-plane[0], plane[1], 1.0), dtype=np.float64)
+    direction = np.asarray((plane[0], plane[1], 1.0), dtype=np.float64)
     direction /= np.linalg.norm(direction)
     return reference, tuple(float(value) for value in direction)
 
@@ -1238,19 +1238,6 @@ class BaseShape:
     balloon: object
 
 
-def orient_cutout_vertices(vertices):
-    import numpy as np
-
-    vertices = np.asarray(vertices, dtype=np.float64)
-    return np.column_stack(
-        (
-            -vertices[:, 2],
-            -vertices[:, 0],
-            vertices[:, 1],
-        )
-    )
-
-
 def cutout_domain(
     selection_contours,
     bounds,
@@ -1433,7 +1420,7 @@ def build_base_shape(
     )
     source_vertices, faces, uv, _boundary, planar, balloon = domain
     return BaseShape(
-        vertices=orient_cutout_vertices(source_vertices),
+        vertices=np.asarray(source_vertices, dtype=np.float64),
         faces=counter_clockwise_faces(planar, faces),
         uv=np.asarray(uv, dtype=np.float32),
         balloon=np.asarray(balloon, dtype=np.float64) / world_z_scale,