Overhauled autofocus tracker
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1 changed files with 75 additions and 55 deletions
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@ -1,7 +1,7 @@
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import logging
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import time
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from collections import namedtuple
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from contextlib import contextmanager
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from threading import Event, Thread
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import numpy as np
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from labthings import current_action, fields, find_component
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@ -14,80 +14,100 @@ from openflexure_microscope.utilities import set_properties
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### Autofocus utilities
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# Class to store a frames metadata
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TrackerFrame = namedtuple("TrackerFrame", ["size", "time"])
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class FrameTracker(object):
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"""
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A file-like object used to analyse MJPEG frames.
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Instead of analysing a load of real MJPEG frames
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after they've been stored in a BytesIO stream,
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we tell the camera to write frames to this class instead.
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We then do analysis as the frames are written, and discard the heavier
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image data.
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"""
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def __init__(self):
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# Array of TrackerFrame objects
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self.frames = []
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self.last = None
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def write(self, s):
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# Store the incoming frame metadata
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# Discards the actual frame image data
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# NOTE: This could be used for smarter processing
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# E.g. different sharpness metrics
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frame = TrackerFrame(size=len(s), time=time.time())
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self.frames.append(frame)
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self.last = frame
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def flush(self):
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# Called at end of recording
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pass
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class JPEGSharpnessMonitor:
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def __init__(self, microscope, timeout=60):
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def __init__(self, microscope):
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self.microscope = microscope
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self.camera = microscope.camera
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self.stage = microscope.stage
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self.jpeg_sizes = []
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self.jpeg_times = []
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self.recording_start_time = None
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self.stage_positions = []
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self.stage_times = []
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self.stop_event = Event()
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self.timeout = timeout
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self.keep_alive()
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self.background_thread = None
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self.jpeg_times = []
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self.jpeg_sizes = []
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def is_alive(self):
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if self.background_thread is None:
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return False
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else:
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return self.background_thread.is_alive()
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# Splitter port 3 is reserved for autofocus
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self.splitter_port = 3
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self.stream = FrameTracker()
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def should_stop(self):
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return time.time() - self.kept_alive > self.timeout
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def keep_alive(self):
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self.kept_alive = time.time()
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def stop_recording(self):
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logging.info("Stopping recording for autofocus...")
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self.camera.camera.stop_recording(splitter_port=self.splitter_port)
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logging.info("Stopped recording for autofocus!")
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def start(self):
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"Start monitoring sharpness by looking at JPEG size"
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if not self.camera.stream_active:
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logging.warning(
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"Autofocus sharpness monitor was started but the camera isn't streaming. Attempting to start the stream..."
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)
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self.camera.start_stream_recording()
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self.background_thread = Thread(target=self._measure_jpegs)
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self.background_thread.start()
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return self
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# Log the recording start time
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self.recording_start_time = time.time()
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# Start the stream recording
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self.camera.camera.start_recording(
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self.stream,
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format="mjpeg",
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quality=100, # Use best quality (we don't store the frames anyway!)
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bitrate=-1, # RWB: disable bitrate control
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# (bitrate control makes JPEG size less good as a focus
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# metric)
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splitter_port=self.splitter_port,
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)
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logging.info("Started recording for autofocus")
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def stop(self):
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"Stop the background thread"
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self.stop_event.set()
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logging.info("Joining JPEG thread")
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self.background_thread.join()
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def _measure_jpegs(self):
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"Function that runs in a background thread to record sharpness"
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logging.debug("Starting sharpness measurement in background thread")
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self.keep_alive()
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logging.debug("_measure_jpegs stop_event: %s", self.stop_event.is_set())
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while not self.stop_event.is_set() and not self.should_stop():
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size_now = self.jpeg_size()
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time_now = time.time()
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self.jpeg_sizes.append(size_now)
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self.jpeg_times.append(time_now)
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logging.info("Exited JPEG measure loop")
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if self.stop_event.is_set():
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logging.debug("Cleanly stopped sharpness measurement in background thread")
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if self.should_stop():
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logging.debug("Sharpness measurement timed out and has stopped")
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def jpeg_size(self):
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"""Return the size of a frame from the MJPEG stream"""
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return len(self.camera.get_frame())
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self.stop_recording()
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logging.info("Stopped recording for autofocus")
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def focus_rel(self, dz, backlash=False, **kwargs):
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self.keep_alive()
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# Start time and position
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# Store the start time and position
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self.stage_times.append(time.time())
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self.stage_positions.append(self.stage.position)
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# Main move
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self.stage.move_rel([0, 0, dz], backlash=backlash, **kwargs)
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# End time and position
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# Store the end time and position
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self.stage_times.append(time.time())
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self.stage_positions.append(self.stage.position)
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# Retrieve frame data
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for frame in self.stream.frames:
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# Make timestamp absolute Unix time
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self.jpeg_times.append(frame.time)
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self.jpeg_sizes.append(frame.size)
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# Index of the data for this movement
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data_index = len(self.stage_positions) - 2
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# Final z position after move
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@ -309,7 +329,7 @@ def fast_up_down_up_autofocus(
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# We've deliberately undershot - figure out how much further we should move based on the curve
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logging.debug("Calculate remining movement")
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current_js = m.jpeg_size()
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current_js = m.stream.last.size
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imax = np.argmax(js) # we want to crop out just the bit below the peak
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js = js[imax:] # NB z is in DECREASING order
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jz = jz[imax:]
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