Added debug output and stage lock on fast autofocus

This commit is contained in:
Joel Collins 2020-03-27 14:17:11 +00:00
parent 03969fdfb2
commit b9fb94d19d

View file

@ -8,11 +8,13 @@ from openflexure_microscope.utilities import set_properties
import time
import numpy as np
import threading
import logging
from scipy import ndimage
from contextlib import contextmanager
from threading import Thread, Event
### Autofocus utilities
@ -25,7 +27,7 @@ class JPEGSharpnessMonitor:
self.jpeg_times = []
self.stage_positions = []
self.stage_times = []
self.stop_event = threading.Event()
self.stop_event = Event()
self.timeout = timeout
self.keep_alive()
self.background_thread = None
@ -48,26 +50,31 @@ class JPEGSharpnessMonitor:
def start(self):
"Start monitoring sharpness by looking at JPEG size"
self.background_thread = threading.Thread(target=self._measure_jpegs)
self.background_thread = Thread(target=self._measure_jpegs)
self.background_thread.start()
return self
def stop(self):
"Stop the background thread"
self.stop_event.set()
print("Joining JPEG thread")
self.background_thread.join()
def _measure_jpegs(self):
"Function that runs in a background thread to record sharpness"
logging.info("Starting sharpness measurement in background thread")
logging.debug("Starting sharpness measurement in background thread")
self.keep_alive()
logging.debug(f"_measure_jpegs stop_event: {self.stop_event.is_set()}")
while not self.stop_event.is_set() and not self.should_stop():
self.jpeg_sizes.append(self.jpeg_size())
self.jpeg_times.append(time.time())
size_now = self.jpeg_size()
time_now = time.time()
self.jpeg_sizes.append(size_now)
self.jpeg_times.append(time_now)
print("Exited JPEG measure loop")
if self.stop_event.is_set():
logging.info("Cleanly stopped sharpness measurement in background thread")
logging.debug("Cleanly stopped sharpness measurement in background thread")
if self.should_stop():
logging.info("Sharpness measurement timed out and has stopped")
logging.debug("Sharpness measurement timed out and has stopped")
def jpeg_size(self):
"""Return the size of a frame from the MJPEG stream"""
@ -195,7 +202,7 @@ def move_and_find_focus(microscope, dz):
def fast_autofocus(microscope, dz=2000, backlash=None):
"""Perform a down-up-down-up autofocus"""
with monitor_sharpness(microscope) as m, microscope.camera.lock:
with monitor_sharpness(microscope) as m, microscope.camera.lock, microscope.stage.lock:
i, z = m.focus_rel(-dz / 2)
i, z = m.focus_rel(dz)
fz = m.sharpest_z_on_move(i)
@ -245,17 +252,20 @@ def fast_up_down_up_autofocus(
might slightly hurt accuracy, but is unlikely to be a big issue. Too big
may cause you to overshoot, which is a problem.
"""
with monitor_sharpness(microscope) as m, microscope.camera.lock:
with monitor_sharpness(microscope) as m, microscope.camera.lock, microscope.stage.lock:
# Ensure the MJPEG stream has started
microscope.camera.start_stream_recording()
df = dz # TODO: refactor so I actually use dz in the code below!
logging.debug("Initial move")
if initial_move_up:
m.focus_rel(df / 2)
# move down
logging.debug("Move down")
i, z = m.focus_rel(-df)
# now inspect where the sharpest point is, and estimate the sharpness
# (JPEG size) that we should find at the start of the Z stack
logging.debug("Get target_s")
jt, jz, js = m.move_data(i)
best_z = jz[np.argmax(js)]
target_s = np.interp(
@ -263,11 +273,13 @@ def fast_up_down_up_autofocus(
) # NB jz is decreasing
# now move to the start of the z stack
logging.debug("Move to the start of the z stack")
i, z = m.focus_rel(
best_z + target_z - z + mini_backlash
) # takes us to the start of the stack
# We've deliberately undershot - figure out how much further we should move based on the curve
logging.debug("Calculate remining movement")
current_js = m.jpeg_size()
imax = np.argmax(js) # we want to crop out just the bit below the peak
js = js[imax:] # NB z is in DECREASING order
@ -279,6 +291,7 @@ def fast_up_down_up_autofocus(
# So, the Z position corresponding to our current sharpness value is zs[inow]
# That means we should move forwards, by best_z - zs[inow]
logging.debug("Correction move")
correction_move = best_z + target_z - jz[inow]
logging.debug(
"Fast autofocus scan: correcting backlash by moving {} steps".format(
@ -317,7 +330,7 @@ class AutofocusAPI(View):
dz = payload.param("dz", default=np.linspace(-300, 300, 7), convert=np.array)
if microscope.has_real_stage():
logging.info("Running autofocus...")
logging.debug("Running autofocus...")
task = taskify(autofocus)(microscope, dz)
# return a handle on the autofocus task
@ -348,7 +361,7 @@ class FastAutofocusAPI(View):
backlash = 0
if microscope.has_real_stage():
logging.info("Running autofocus...")
logging.debug("Running autofocus...")
task = taskify(fast_up_down_up_autofocus)(microscope, dz=dz, mini_backlash=backlash)
# return a handle on the autofocus task