Looping autofocus errors on failure to find focus. Test looping autofocus algorithm

This commit is contained in:
Julian Stirling 2025-11-21 16:46:50 +01:00
parent 13e065a44d
commit b9c58b70c9
2 changed files with 118 additions and 12 deletions

View file

@ -421,11 +421,12 @@ class AutofocusThing(lt.Thing):
is close to focus, but not quite within ``dz/2``. It will attempt to autofocus
up to 10 times.
"""
attempts = 0
attempt = 0
backlash = 200
with sharpness_monitor.run():
while attempts < 10:
while attempt < 10:
attempt += 1
if start == "centre":
stage.move_relative(x=0, y=0, z=-(backlash + dz / 2))
stage.move_relative(x=0, y=0, z=backlash)
@ -447,10 +448,11 @@ class AutofocusThing(lt.Thing):
stage.move_absolute(z=peak_height)
if target_min < peak_height < target_max:
# If it is within the target range then break.
break
return heights.tolist(), sizes.tolist()
# If it is within the target range then return
return heights.tolist(), sizes.tolist()
raise NoFocusFoundError(
"Looping autofocus couldn't converge on a focus location."
)
stack_images_to_save = lt.ThingSetting(
initial_value=1,
@ -611,12 +613,15 @@ class AutofocusThing(lt.Thing):
# The z position of the first images in the previous attempt.
initial_z_pos = captures[0].position["z"]
# If a stack is not successful, move to the start and autofocus
self.reset_stack(
initial_z_pos,
stack_parameters.autofocus_dz,
stage,
sharpness_monitor,
)
try:
self.reset_stack(
initial_z_pos,
stack_parameters.autofocus_dz,
stage,
sharpness_monitor,
)
except NoFocusFoundError:
break
# Save stack_parameters.image_to_save images centred on the sharpest capture.
# If the smart_stack failed the exact number of images saved may not be
@ -854,6 +859,10 @@ class NotAPeakError(RuntimeError):
"""The data to fit isn't a peak."""
class NoFocusFoundError(RuntimeError):
"""No focus found during looping Autofocus."""
def _get_peak_turning_point(sharpnesses: np.ndarray) -> float:
"""Get the turing point for a sharpnesses in a z-stack.

97
tests/test_autofocus.py Normal file
View file

@ -0,0 +1,97 @@
"""Tests for the autofoucs logic.
This doesn't check the behaviour of the JPEG shaprness monitor.
"""
import pytest
import numpy as np
from openflexure_microscope_server.things.autofocus import (
AutofocusThing,
NoFocusFoundError,
)
def fake_sharpeness_data(
dz: int, start_z: int, max_loc: int, length: int = 41
) -> tuple[list[float], np.ndarray, np.ndarray]:
"""Create some fake data for the shapeness.
The highest returned sharpness is closest to max_loc
"""
# Some fake timestamps
times = [i / 10 + 100000 for i in range(length)]
img_dz = dz / (length - 1)
heights = [round(start_z + i * img_dz) for i in range(length)]
# Shapeness is falls off linearly in this model.
sharpnesses = [10 * dz - abs(max_loc - h) for h in heights]
return times, np.array(heights), np.array(sharpnesses)
@pytest.mark.parametrize(
("start_z", "max_loc", "centre", "attempts_expected", "passes"),
[
# To complete the max must be in the central 1200, so -600 to 600 when looping
# from -1000 to 1000
(0, 550, True, 1, True), # Found in loop1 from -1000 to 1000
(0, 650, True, 2, True), # Just outside the limit in loop1
(0, 1300, True, 2, True), # Found in loop2 from 0 to 2000
(0, 1300, False, 1, True), # Found in loop1 from 0 to 2000 (as start="base")
(0, -1300, True, 2, True), # Found in loop2 from 0 to 2000
(0, 7300, True, 8, True), # Found in loop8 from 6000 to 8000
(0, 9300, True, 10, True), # Found in loop10 from 8000 to 10000
(0, 9900, True, 10, False), # Still not central in loop 10, doesn't pass
],
)
def test_looping_autofocus(start_z, max_loc, centre, attempts_expected, passes, mocker):
"""Test the high level looping autofocus algorithm."""
dz = 2000
# Make a mock stage where move_absolute abs and relative updates the position counter.
stage = mocker.Mock()
stage.position = {"x": 0, "y": 0, "z": start_z}
def set_pos(**kwargs: int) -> None:
"""Move absolute should update position. So make a side effect for the mock."""
for axis, value in kwargs.items():
stage.position[axis] = value
def adjust_pos(**kwargs: int) -> None:
"""Move relative should update position. So make a side effect for the mock."""
for axis, value in kwargs.items():
stage.position[axis] += value
stage.move_absolute.side_effect = set_pos
stage.move_relative.side_effect = adjust_pos
# Make a mock sharpness monitor that can generate sharpness data.
sharpness_monitor = mocker.MagicMock()
sharpness_monitor.focus_rel.return_value = (0, 0)
def return_shapness(*_args) -> tuple[list[float], np.ndarray, np.ndarray]:
"""Generate shapenesses based on parameterised input, and mock stage position."""
return fake_sharpeness_data(
dz=dz,
start_z=stage.position["z"],
max_loc=max_loc,
)
sharpness_monitor.move_data.side_effect = return_shapness
autofocus_thing = AutofocusThing()
if passes:
autofocus_thing.looping_autofocus(
stage=stage,
sharpness_monitor=sharpness_monitor,
dz=dz,
start="centre" if centre else "base",
)
else:
with pytest.raises(NoFocusFoundError):
autofocus_thing.looping_autofocus(
stage=stage,
sharpness_monitor=sharpness_monitor,
dz=dz,
start="centre" if centre else "base",
)
assert sharpness_monitor.focus_rel.call_count == attempts_expected
assert abs(max_loc - stage.position["z"]) < dz / 40