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Again fix translate of overlays (this time with tests) #6927

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116 changes: 116 additions & 0 deletions napari/_vispy/_tests/test_vispy_image_layer.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from itertools import permutations

import numpy as np
import numpy.testing as npt
import pytest

from napari._vispy._tests.utils import vispy_image_scene_size
Expand Down Expand Up @@ -83,3 +84,118 @@ def test_no_float32_texture_support(monkeypatch):
)
image = Image(np.zeros((16, 8, 4, 2), dtype='uint8'), scale=(1, 2, 4, 8))
VispyImageLayer(image)


@pytest.fixture()
def im_layer() -> Image:
return Image(np.zeros((10, 10)))


@pytest.fixture()
def pyramid_layer() -> Image:
return Image([np.zeros((20, 20)), np.zeros((10, 10))])


def test_base_create(im_layer):
VispyImageLayer(im_layer)


def set_translate(layer):
layer.translate = (10, 10)


def set_affine_translate(layer):
layer.affine.translate = (10, 10)
layer.events.affine()


def set_rotate(layer):
layer.rotate = 90


def set_affine_rotate(layer):
layer.affine.rotate = 90
layer.events.affine()


def no_op(layer):
pass


@pytest.mark.parametrize(
('translate', 'exp_translate'),
[
(set_translate, (10, 10)),
(set_affine_translate, (10, 10)),
(no_op, (0, 0)),
],
ids=('translate', 'affine_translate', 'no_op'),
)
@pytest.mark.parametrize(
('rotate', 'exp_rotate'),
[
(set_rotate, ((0, -1), (1, 0))),
(set_affine_rotate, ((0, -1), (1, 0))),
(no_op, ((1, 0), (0, 1))),
],
ids=('rotate', 'affine_rotate', 'no_op'),
)
def test_transforming_child_node(
im_layer, translate, exp_translate, rotate, exp_rotate
):
layer = VispyImageLayer(im_layer)
npt.assert_array_almost_equal(
layer.node.transform.matrix[-1][:2], (-0.5, -0.5)
)
npt.assert_array_almost_equal(
layer.node.transform.matrix[:2, :2], ((1, 0), (0, 1))
)
rotate(im_layer)
translate(im_layer)
npt.assert_array_almost_equal(
layer.node.children[0].transform.matrix[:2, :2], ((1, 0), (0, 1))
)
npt.assert_array_almost_equal(
layer.node.children[0].transform.matrix[-1][:2], (0.5, 0.5)
)
npt.assert_array_almost_equal(
layer.node.transform.matrix[:2, :2], exp_rotate
)
if translate == set_translate and rotate == set_affine_rotate:
npt.assert_array_almost_equal(
layer.node.transform.matrix[-1][:2],
np.dot(
np.linalg.inv(exp_rotate),
np.array([-0.5, -0.5]) + exp_translate,
),
)
else:
npt.assert_array_almost_equal(
layer.node.transform.matrix[-1][:2],
np.dot(np.linalg.inv(exp_rotate), (-0.5, -0.5)) + exp_translate,
# np.dot(np.linalg.inv(im_layer.affine.rotate), exp_translate)
)


def test_transforming_child_node_pyramid(pyramid_layer):
layer = VispyImageLayer(pyramid_layer)
corner_pixels_world = np.array([[0, 0], [20, 20]])
npt.assert_array_almost_equal(
layer.node.transform.matrix[-1][:2], (-0.5, -0.5)
)
npt.assert_array_almost_equal(
layer.node.children[0].transform.matrix[-1][:2], (0.5, 0.5)
)
pyramid_layer.translate = (-10, -10)
pyramid_layer._update_draw(
scale_factor=1,
corner_pixels_displayed=corner_pixels_world,
shape_threshold=(10, 10),
)

npt.assert_array_almost_equal(
layer.node.transform.matrix[-1][:2], (-0.5, -0.5)
)
npt.assert_array_almost_equal(
layer.node.children[0].transform.matrix[-1][:2], (-9.5, -9.5)
)
40 changes: 15 additions & 25 deletions napari/_vispy/layers/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -214,7 +214,8 @@ def _on_matrix_change(self):
affine_matrix[: matrix.shape[0], : matrix.shape[1]] = matrix
affine_matrix[-1, : len(translate)] = translate

offset = np.zeros(len(self.layer._slice_input.displayed))
child_offset = np.zeros(len(self.layer._slice_input.displayed))
dims_displayed = self.layer._slice_input.displayed

if self._array_like and self.layer._slice_input.ndisplay == 2:
# Perform pixel offset to shift origin from top left corner
Expand All @@ -230,33 +231,22 @@ def _on_matrix_change(self):
affine_offset = np.eye(4)
affine_offset[-1, : len(offset)] = offset[::-1]
affine_matrix = affine_matrix @ affine_offset
if self.layer.multiscale:
# Because of performance reason, for multiscale images
# we load only visible part of data to GPU.
# To place this part of data correctly we update transform,
# but this leads to incorrect placement of child layers.
# To fix this we need to update child layers transform.
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child_offset = (
np.ones(offset_matrix.shape[1]) / 2
- self.layer.corner_pixels[0][dims_displayed][::-1]
)
else:
child_offset = np.ones(offset_matrix.shape[1]) / 2
self._master_transform.matrix = affine_matrix

# Because of performance reason, for multiscale images
# we load only visible part of data to GPU.
# To place this part of data correctly we update transform,
# but this leads to incorrect placement of child layers.
# To fix this we need to update child layers transform.
dims_displayed = self.layer._slice_input.displayed
simplified_transform = self.layer._transforms.simplified
if simplified_transform is None:
raise ValueError(
'simplified transform is None'
) # pragma: no cover
translate_child = (
self.layer.translate[dims_displayed]
+ self.layer.affine.translate[dims_displayed]
)[::-1] - offset[::-1]
trans_rotate = simplified_transform.rotate[
np.ix_(dims_displayed, dims_displayed)
]
trans_scale = simplified_transform.scale[dims_displayed][::-1]
new_translate = (
trans_rotate @ (translate_child - translate) / trans_scale
)

child_matrix = np.eye(4)
child_matrix[-1, : len(translate)] = new_translate
child_matrix[-1, : len(child_offset)] = child_offset
for child in self.node.children:
child.transform.matrix = child_matrix

Expand Down
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