Files
AnyImage/tests/test_cutout_interaction.py
nan c97b4a3e41 Add image selection refinement functionality with BEN2 integration
- Implemented viewport.py for handling 3D view projections, gestures, and overlay drawing.
- Created refine_image_selection.py to manage the refinement of gesture masks and output image bounds.
- Added selection module with refine_selection.py to process and crop images based on alpha channel visibility.
- Introduced __init__.py for selection module to expose refine_selection function.
2026-08-31 22:10:05 +08:00

172 lines
6.0 KiB
Python

import sys
from pathlib import Path
from types import MethodType, SimpleNamespace
import bpy
SOURCE_ROOT = Path(__file__).parents[1] / "src"
sys.path.insert(0, str(SOURCE_ROOT))
from anyimage.common.selection import SelectionPath
from anyimage.common.viewport import ImageSelectionGesture
from anyimage.operators.cutout_tool import interaction
from anyimage.operators.cutout_tool import main as cutout_main
class Pie:
def __init__(self):
self.calls = []
def operator(self, identifier, **options):
operator = SimpleNamespace()
self.calls.append((identifier, options, operator))
return operator
class WindowManager:
def __init__(self):
self.pie = Pie()
def popup_menu_pie(self, _event, draw, **_options):
menu = SimpleNamespace(layout=SimpleNamespace(menu_pie=lambda: self.pie))
draw(menu, None)
def cutout_context(window_manager, mesh_detail="LOW", generate_normal=False):
settings = SimpleNamespace(
cutout_mesh_detail=mesh_detail,
cutout_generate_normal=generate_normal,
)
return SimpleNamespace(
window_manager=window_manager,
scene=SimpleNamespace(anyimage_settings=settings),
)
def cutout_source(name="Source", size=(2048, 1024)):
return SimpleNamespace(name=name, data=SimpleNamespace(size=size))
def test_cutout_pie_uses_two_local_shapes_without_ai(monkeypatch):
window_manager = WindowManager()
context = cutout_context(window_manager, generate_normal=True)
source = cutout_source()
monkeypatch.setattr(interaction, "ai_ready", lambda: False)
interaction.open_shape_pie(
context,
object(),
source,
SelectionPath(points=((0, 0), (10, 0), (0, 10))),
refine_selection=True,
)
assert [call[2].shape for call in window_manager.pie.calls] == [
"SURFACE",
"BALLOON",
]
assert [call[1]["text"] for call in window_manager.pie.calls] == [
"Surface",
"Balloon",
]
assert all(
call[0] == "anyimage.cutout_selection_to_shape"
for call in window_manager.pie.calls
)
assert not any(call[2].refine_selection for call in window_manager.pie.calls)
assert not any(call[2].generate_normal for call in window_manager.pie.calls)
assert all(call[2].mesh_resolution == 64 for call in window_manager.pie.calls)
def test_cutout_pie_passes_image_lasso_options_to_all_ai_shapes(monkeypatch):
window_manager = WindowManager()
context = cutout_context(window_manager, mesh_detail="MEDIUM", generate_normal=True)
source = cutout_source(size=(4096, 2048))
monkeypatch.setattr(interaction, "ai_ready", lambda: True)
interaction.open_shape_pie(
context,
object(),
source,
SelectionPath(
points=((0, 0), (10, 0), (0, 10)),
invert=True,
),
refine_selection=True,
)
assert [call[2].shape for call in window_manager.pie.calls] == [
"SURFACE",
"BALLOON",
"DEPTH_BALLOON",
"DEPTH_SURFACE",
]
assert all(call[2].refine_selection for call in window_manager.pie.calls)
assert all(call[2].generate_normal for call in window_manager.pie.calls)
assert all(
SelectionPath.from_json(call[2].selection_path_json).invert
for call in window_manager.pie.calls
)
assert all(call[2].mesh_resolution == 256 for call in window_manager.pie.calls)
def test_cutout_normal_space_is_derived_from_shape():
assert cutout_main.normal_mode_for_shape("DEPTH_SURFACE", False) == "NONE"
assert cutout_main.normal_mode_for_shape("SURFACE", True) == "TANGENT"
assert cutout_main.normal_mode_for_shape("BALLOON", True) == "TANGENT"
assert cutout_main.normal_mode_for_shape("DEPTH_BALLOON", True) == "TANGENT"
assert cutout_main.normal_mode_for_shape("DEPTH_SURFACE", True) == "OBJECT"
def test_cutout_mesh_detail_tracks_the_source_long_edge_and_clamps():
assert interaction.cutout_mesh_resolution((4096, 2048), 32) == 128
assert interaction.cutout_mesh_resolution((16, 8), 4) == 4
assert interaction.cutout_mesh_resolution((65536, 32768), 4) == 1024
def test_cutout_mesh_detail_maps_to_denser_sampling():
assert [
interaction.cutout_mesh_detail_spacing(detail)
for detail in ("LOW", "MEDIUM", "HIGH", "ULTRA")
] == [32, 16, 8, 4]
def test_cutout_reuses_image_lasso_gesture_and_double_click_selects_all(monkeypatch):
bpy.ops.wm.read_factory_settings(use_empty=True)
image = bpy.data.images.new("Source", width=320, height=180)
source = bpy.data.objects.new("Source", None)
source.empty_display_type = "IMAGE"
source.data = image
bpy.context.collection.objects.link(source)
window_manager = WindowManager()
context = cutout_context(window_manager)
monkeypatch.setattr(
cutout_main, "resolve_image_edit_click", lambda *_args: (source, True)
)
monkeypatch.setattr(cutout_main, "video_total_frames", lambda _image: 1)
monkeypatch.setattr(cutout_main, "apply_selection_settings", lambda *_args: None)
monkeypatch.setattr(cutout_main, "validate_cutout_selection", lambda *_args: None)
operator = SimpleNamespace(
full_image=True,
refine_selection=False,
report=lambda *_args: None,
)
operator.execute = MethodType(cutout_main.SelectCutoutSelection.execute, operator)
result = cutout_main.SelectCutoutSelection.invoke(
operator, context, SimpleNamespace(value="DOUBLE_CLICK")
)
assert issubclass(cutout_main.SelectCutoutSelection, ImageSelectionGesture)
assert result == {"FINISHED"}
selection_path = SelectionPath.from_json(window_manager.pie.calls[0][2].selection_path_json)
assert selection_path.points == ((0, 0), (320, 0), (320, 180), (0, 180))
assert window_manager.pie.calls[0][2].mesh_resolution == 10
assert not hasattr(cutout_main, "pending_selection")
def test_cutout_tool_prioritizes_double_click_before_lasso_press():
assert cutout_main.CutoutTool.bl_keymap[0][1]["value"] == "DOUBLE_CLICK"
assert cutout_main.CutoutTool.bl_keymap[1][1]["value"] == "PRESS"