Add new functionality for image rectification and depth metadata handling

- 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.
This commit is contained in:
2026-09-12 19:20:06 +08:00
parent e8268504c2
commit 938d95db0f
175 changed files with 3812 additions and 6864 deletions

View File

@@ -13,19 +13,14 @@ from tests.anyimage.server.support import FakeJobContext
@pytest.mark.parametrize("key", model_catalog.BACKGROUND_MODELS)
@pytest.mark.parametrize("kind", ["foreground", "frames", "alpha"])
def test_models_dispatch_keep_alpha_and_reuse_sessions(tmp_path, key, kind):
@pytest.mark.parametrize("kind", ["foreground", "alpha"])
def test_models_dispatch_keep_alpha(tmp_path, key, kind):
source = tmp_path / "source.png"
Image.new("RGBA", (7, 5), (60, 120, 180, 128)).save(source)
if kind == "frames":
source = tmp_path / "frames"
source.mkdir()
for index in (1, 2):
Image.new("RGBA", (7, 5), (60, 120, 180, 128)).save(source / f"{index}.png")
manager = ModelManager(tmp_path / "models")
context = FakeJobContext(tmp_path / "job", "remove-background", manager)
adapter = background.model_adapter(manager.directory(key))
parameters = {"input": str(source), "model": key, "device": "directml", "video_frames": 2}
parameters = {"input": str(source), "model": key, "device": "directml"}
if kind == "alpha":
parameters["output_kind"] = kind
with patch.object(adapter, "create_session", return_value=object()) as create, patch.object(
@@ -33,7 +28,7 @@ def test_models_dispatch_keep_alpha_and_reuse_sessions(tmp_path, key, kind):
) as infer:
remove_background.run(context, parameters)
create.assert_called_once_with(manager.directory(key), "cpu" if key == "BIREFNET_HR_MATTING" else "directml")
assert infer.call_count == (2 if kind == "frames" else 1)
infer.assert_called_once()
if kind == "alpha":
np.testing.assert_allclose(np.load(context.directory / "alpha.npy"), .4)
else:
@@ -63,13 +58,3 @@ def test_readiness_checks_model_and_license_corruption(tmp_path, key):
assert manager.ready(key)
(directory / "LICENSE.txt").write_bytes(b"damaged!")
assert not manager.ready(key)
@pytest.mark.parametrize("key", ["PISA_SR", "SAFMN_REAL_X4", "MOGE2_VITL_NORMAL"])
def test_retired_job_keys_fail_before_loading(key):
from server.models import upscale
with pytest.raises(ValueError, match="Unknown upscale model"):
upscale.infer_one(None, {"model": key}, "unused.png")
with pytest.raises(ValueError, match="Unknown background removal model"):
remove_background.run(None, {"model": key})