Overhauled autofocus tracker

This commit is contained in:
Joel Collins 2020-10-22 16:00:52 +01:00
parent 68748a26c5
commit 3c63d6a240

View file

@ -1,7 +1,7 @@
import logging
import time
from collections import namedtuple
from contextlib import contextmanager
from threading import Event, Thread
import numpy as np
from labthings import current_action, fields, find_component
@ -14,80 +14,100 @@ from openflexure_microscope.utilities import set_properties
### Autofocus utilities
# Class to store a frames metadata
TrackerFrame = namedtuple("TrackerFrame", ["size", "time"])
class FrameTracker(object):
"""
A file-like object used to analyse MJPEG frames.
Instead of analysing a load of real MJPEG frames
after they've been stored in a BytesIO stream,
we tell the camera to write frames to this class instead.
We then do analysis as the frames are written, and discard the heavier
image data.
"""
def __init__(self):
# Array of TrackerFrame objects
self.frames = []
self.last = None
def write(self, s):
# Store the incoming frame metadata
# Discards the actual frame image data
# NOTE: This could be used for smarter processing
# E.g. different sharpness metrics
frame = TrackerFrame(size=len(s), time=time.time())
self.frames.append(frame)
self.last = frame
def flush(self):
# Called at end of recording
pass
class JPEGSharpnessMonitor:
def __init__(self, microscope, timeout=60):
def __init__(self, microscope):
self.microscope = microscope
self.camera = microscope.camera
self.stage = microscope.stage
self.jpeg_sizes = []
self.jpeg_times = []
self.recording_start_time = None
self.stage_positions = []
self.stage_times = []
self.stop_event = Event()
self.timeout = timeout
self.keep_alive()
self.background_thread = None
self.jpeg_times = []
self.jpeg_sizes = []
def is_alive(self):
if self.background_thread is None:
return False
else:
return self.background_thread.is_alive()
# Splitter port 3 is reserved for autofocus
self.splitter_port = 3
self.stream = FrameTracker()
def should_stop(self):
return time.time() - self.kept_alive > self.timeout
def keep_alive(self):
self.kept_alive = time.time()
def stop_recording(self):
logging.info("Stopping recording for autofocus...")
self.camera.camera.stop_recording(splitter_port=self.splitter_port)
logging.info("Stopped recording for autofocus!")
def start(self):
"Start monitoring sharpness by looking at JPEG size"
if not self.camera.stream_active:
logging.warning(
"Autofocus sharpness monitor was started but the camera isn't streaming. Attempting to start the stream..."
)
self.camera.start_stream_recording()
self.background_thread = Thread(target=self._measure_jpegs)
self.background_thread.start()
return self
# Log the recording start time
self.recording_start_time = time.time()
# Start the stream recording
self.camera.camera.start_recording(
self.stream,
format="mjpeg",
quality=100, # Use best quality (we don't store the frames anyway!)
bitrate=-1, # RWB: disable bitrate control
# (bitrate control makes JPEG size less good as a focus
# metric)
splitter_port=self.splitter_port,
)
logging.info("Started recording for autofocus")
def stop(self):
"Stop the background thread"
self.stop_event.set()
logging.info("Joining JPEG thread")
self.background_thread.join()
def _measure_jpegs(self):
"Function that runs in a background thread to record sharpness"
logging.debug("Starting sharpness measurement in background thread")
self.keep_alive()
logging.debug("_measure_jpegs stop_event: %s", self.stop_event.is_set())
while not self.stop_event.is_set() and not self.should_stop():
size_now = self.jpeg_size()
time_now = time.time()
self.jpeg_sizes.append(size_now)
self.jpeg_times.append(time_now)
logging.info("Exited JPEG measure loop")
if self.stop_event.is_set():
logging.debug("Cleanly stopped sharpness measurement in background thread")
if self.should_stop():
logging.debug("Sharpness measurement timed out and has stopped")
def jpeg_size(self):
"""Return the size of a frame from the MJPEG stream"""
return len(self.camera.get_frame())
self.stop_recording()
logging.info("Stopped recording for autofocus")
def focus_rel(self, dz, backlash=False, **kwargs):
self.keep_alive()
# Start time and position
# Store the start time and position
self.stage_times.append(time.time())
self.stage_positions.append(self.stage.position)
# Main move
self.stage.move_rel([0, 0, dz], backlash=backlash, **kwargs)
# End time and position
# Store the end time and position
self.stage_times.append(time.time())
self.stage_positions.append(self.stage.position)
# Retrieve frame data
for frame in self.stream.frames:
# Make timestamp absolute Unix time
self.jpeg_times.append(frame.time)
self.jpeg_sizes.append(frame.size)
# Index of the data for this movement
data_index = len(self.stage_positions) - 2
# Final z position after move
@ -309,7 +329,7 @@ def fast_up_down_up_autofocus(
# 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()
current_js = m.stream.last.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
jz = jz[imax:]