nan
a0dd6e4a88
- Introduced a new extension for restoring cutout depth with edge correction. - Implemented edge depth extension algorithm in `edge_depth.py` to enhance depth accuracy near cutout edges. - Updated `generate_moge_artifacts` to include an option for extending depth edges during depth generation. - Modified cutout job processing to enable edge depth extension based on depth request. - Added comprehensive tests for edge depth functionality, ensuring correct behavior under various scenarios. - Updated existing node loading functions to remove asset revision dependencies, simplifying the loading process. - Created new design and proposal documentation outlining the goals and decisions for the extension.
165 lines
5.4 KiB
Python
165 lines
5.4 KiB
Python
import numpy as np
|
|
import pytest
|
|
|
|
|
|
from server.geometry.edge_depth import extend_edge_depth
|
|
from server.models.geometry import GeometryFrame
|
|
from server.models.onnx_moge2 import depth_to_points
|
|
|
|
|
|
def make_frame(depth):
|
|
depth = np.asarray(depth, dtype=np.float32)
|
|
height, width = depth.shape
|
|
normalized = np.array([[1.2, 0, 0.4], [0, 1.4, 0.6], [0, 0, 1]], np.float32)
|
|
intrinsics = normalized.copy()
|
|
intrinsics[0] *= width
|
|
intrinsics[1] *= height
|
|
return GeometryFrame(
|
|
depth=depth,
|
|
validity=np.ones_like(depth),
|
|
intrinsics=intrinsics,
|
|
points=depth_to_points(depth, normalized),
|
|
normal=np.zeros((*depth.shape, 3), np.float32),
|
|
)
|
|
|
|
|
|
def silhouette():
|
|
alpha = np.zeros((25, 35), np.float32)
|
|
alpha[4:21, 4:22] = 1
|
|
alpha[4:21, 22:25] = 0.2
|
|
depth = np.full(alpha.shape, 20, np.float32)
|
|
depth[alpha == 1] = 2
|
|
return make_frame(depth), alpha
|
|
|
|
|
|
def test_hair_extension_preserves_core_alpha_and_projection():
|
|
frame, alpha = silhouette()
|
|
original_alpha = alpha.copy()
|
|
result = extend_edge_depth(frame, alpha, alpha_threshold=0.1)
|
|
assert np.all(result.depth[alpha >= 0.1] == 2)
|
|
np.testing.assert_array_equal(result.points[9:16, 9:16], frame.points[9:16, 9:16])
|
|
np.testing.assert_array_equal(alpha, original_alpha)
|
|
np.testing.assert_array_equal(frame.depth[alpha == 0.2], 20)
|
|
np.testing.assert_allclose(
|
|
result.points[..., :2] / result.points[..., 2:],
|
|
frame.points[..., :2] / frame.points[..., 2:],
|
|
atol=1e-6,
|
|
)
|
|
assert result.validity is frame.validity
|
|
assert result.normal is frame.normal
|
|
assert np.isfinite(result.points).all()
|
|
|
|
|
|
def test_sampling_padding_is_bounded():
|
|
frame, alpha = silhouette()
|
|
result = extend_edge_depth(frame, alpha, alpha_threshold=0.1)
|
|
assert np.all(result.depth[12, 24:29] == 2)
|
|
assert result.depth[12, 29] == 20
|
|
assert (result.depth[12, 24] + result.depth[12, 25]) / 2 == 2
|
|
|
|
|
|
def test_edge_padding_tracks_selected_threshold():
|
|
frame, alpha = silhouette()
|
|
loose = extend_edge_depth(frame, alpha, alpha_threshold=0.1)
|
|
strict = extend_edge_depth(frame, alpha)
|
|
assert loose.depth[12, 28] == 2
|
|
assert strict.depth[12, 28] == 20
|
|
|
|
|
|
def test_strict_threshold_excludes_lower_alpha_donors():
|
|
alpha = np.zeros((10, 10), np.float32)
|
|
alpha[3:7, 3:7] = 0.96
|
|
alpha[5, 5] = 1
|
|
depth = np.full(alpha.shape, 10, np.float32)
|
|
depth[5, 5] = 2
|
|
result = extend_edge_depth(make_frame(depth), alpha, alpha_threshold=1)
|
|
assert result.depth[5, 6] == 2
|
|
|
|
|
|
def test_image_rectangle_does_not_erode_subject():
|
|
alpha = np.ones((15, 20), np.float32)
|
|
alpha[:, 15:] = 0
|
|
depth = np.full(alpha.shape, 2, np.float32)
|
|
depth[0, 0] = 3
|
|
frame = make_frame(depth)
|
|
result = extend_edge_depth(frame, alpha)
|
|
assert result.depth[0, 0] == 3
|
|
np.testing.assert_array_equal(result.points[0, 0], frame.points[0, 0])
|
|
|
|
|
|
def test_small_components_fall_back_without_borrowing_other_depths():
|
|
alpha = np.zeros((15, 30), np.float32)
|
|
alpha[5, 5:7] = [0.95, 0.1]
|
|
alpha[5, 10:12] = [1, 0.2]
|
|
alpha[5, 14] = 0.94
|
|
depth = np.full(alpha.shape, 30, np.float32)
|
|
depth[5, 5] = 2
|
|
depth[5, 10] = 8
|
|
result = extend_edge_depth(make_frame(depth), alpha, alpha_threshold=0.1)
|
|
assert result.depth[5, 6] == 2
|
|
assert result.depth[5, 11] == 8
|
|
assert result.depth[5, 14] == 30
|
|
assert result.depth[5, 7] == 2
|
|
assert result.depth[5, 9] == 8
|
|
|
|
|
|
def test_diagonal_pixels_share_a_component():
|
|
alpha = np.zeros((10, 10), np.float32)
|
|
alpha[4, 4] = 1
|
|
alpha[5, 5] = 0.2
|
|
depth = np.full(alpha.shape, 10, np.float32)
|
|
depth[4, 4] = 2
|
|
result = extend_edge_depth(make_frame(depth), alpha, alpha_threshold=0.1)
|
|
assert result.depth[5, 5] == 2
|
|
|
|
|
|
@pytest.mark.parametrize("validity", [0.0, 0.2, 0.5])
|
|
def test_invalid_donors_are_excluded(validity):
|
|
frame, alpha = silhouette()
|
|
frame.depth[10, 6] = 100
|
|
frame.validity[10, 6] = validity
|
|
result = extend_edge_depth(frame, alpha)
|
|
assert result.depth[10, 4] == 2
|
|
assert result.depth[10, 6] == 100
|
|
assert result.validity[10, 6] == np.float32(validity)
|
|
|
|
|
|
def test_internal_mask_hole_does_not_expand_alpha_repair():
|
|
frame, alpha = silhouette()
|
|
frame.depth[9:14, 10:15] = 100
|
|
frame.validity[9:14, 10:15] = 0
|
|
original = frame.depth.copy()
|
|
result = extend_edge_depth(frame, alpha)
|
|
np.testing.assert_array_equal(result.depth[6:19, 6:20], original[6:19, 6:20])
|
|
assert result.depth[12, 24] == 2
|
|
|
|
|
|
def test_opaque_image_keeps_low_mask_depth():
|
|
frame = make_frame(np.ones((10, 10)))
|
|
frame.depth[5, 5] = 100
|
|
frame.validity[5, 5] = 0
|
|
assert extend_edge_depth(frame, np.ones((10, 10))) is frame
|
|
|
|
|
|
def test_component_without_valid_donors_keeps_its_depth():
|
|
frame, alpha = silhouette()
|
|
frame.validity[alpha > 0] = 0
|
|
assert extend_edge_depth(frame, alpha) is frame
|
|
|
|
|
|
def test_local_smoothing_reduces_donor_step_and_preserves_core():
|
|
frame, alpha = silhouette()
|
|
frame.depth[12:, alpha.shape[1] // 4:22] = 4
|
|
result = extend_edge_depth(frame, alpha)
|
|
assert 2 < result.depth[11, 23] < 4
|
|
assert 2 < result.depth[12, 23] < 4
|
|
np.testing.assert_array_equal(result.depth[8:17, 8:17], frame.depth[8:17, 8:17])
|
|
|
|
|
|
@pytest.mark.parametrize("alpha_value", [0, 0.3, 1])
|
|
def test_images_without_repair_return_original_frame(alpha_value):
|
|
frame = make_frame(np.ones((5, 8)))
|
|
assert extend_edge_depth(frame, np.full((5, 8), alpha_value)) is frame
|
|
|
|
|