Breaking out capture and save code into three seperate methods
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parent
9c2ab977c5
commit
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1 changed files with 91 additions and 72 deletions
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@ -574,72 +574,6 @@ class SmartScanThing(Thing):
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) as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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# This is the function we'll use to grab (or later capture) an image
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# and save it with metadata
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def capture_and_save(acquired: Event, name: str) -> None:
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"""Capture an image and save it to disk
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This will set the event `acquired` once the image has been acquired, so
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that the stage may be moved while it's saved.
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"""
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try:
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capture_start = time.time()
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image, metadata = capture_image()
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acquired.set()
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acquisition_time = time.time()
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save_capture(name, image, metadata)
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save_time = time.time()
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acquisition_duration = round(acquisition_time - capture_start, 1)
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saving_duration = round(save_time - acquisition_time, 1)
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logger.info(
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"Acquired {} in {}s then {}s saving to disk".format(
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name, acquisition_duration, saving_duration
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)
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)
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except Exception as e:
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logger.error(
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"An error occurred while saving {}: {}".format(name, e),
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exc_info=e,
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)
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def capture_image():
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"""Capture an image in memory and return it with metadata
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This will set the event `acquired` once the image has been acquired, so
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that the stage may be moved while it's saved.
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"""
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try:
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metadata = metadata_getter()
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image = cam.capture_array()[..., :3]
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return image, metadata
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except Exception as e:
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logger.error(
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"An error occurred while capturing: {}".format(e), exc_info=e
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)
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return 0, 0
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def save_capture(name, image, metadata):
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try:
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jpeg_path = os.path.join(images_folder, name)
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Image.fromarray(image.astype("uint8"), "RGB").save(
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jpeg_path, quality=95, subsampling=0
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)
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try:
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exif_dict = piexif.load(os.path.join(images_folder, name))
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exif_dict["Exif"][piexif.ExifIFD.UserComment] = json.dumps(
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metadata
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).encode("utf-8")
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piexif.insert(
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piexif.dump(exif_dict), os.path.join(images_folder, name)
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)
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except:
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pass
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except Exception as e:
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logger.error(
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"An error occurred while saving {}: {}".format(name, e),
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exc_info=e,
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)
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# At the start of the loop, we simultaneously capture an image and move to the next scan point.
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# We skip capturing on the first run, because we've not focused yet - and also we skip capturing if
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# it looks like background.
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@ -743,16 +677,16 @@ class SmartScanThing(Thing):
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)
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acquired = Event()
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name = f"image_{loc[0]}_{loc[1]}.jpg"
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jpeg_path = os.path.join(images_folder, name)
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time.sleep(0.2)
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capture_thread = Thread(
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target=capture_and_save,
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target=self.capture_and_save,
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kwargs={
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# "cam": cam,
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# "logger": logger,
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"acquired": acquired,
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"name": name,
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# "images_folder": images_folder,
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# "raw_images_folder": raw_images_folder,
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"jpeg_path": jpeg_path,
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"cam": cam,
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"logger": logger,
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"metadata_getter": metadata_getter
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},
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)
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capture_thread.start()
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@ -829,6 +763,87 @@ class SmartScanThing(Thing):
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except SubprocessError as e:
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logger.error(f"Stitching failed: {e}", exc_info=e)
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def capture_and_save(
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self,
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acquired: Event,
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jpeg_path: str,
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cam: CamDep,
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metadata_getter: GetThingStates,
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logger: InvocationLogger
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) -> None:
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"""Capture an image and save it to disk
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This will set the event `acquired` once the image has been acquired, so
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that the stage may be moved while it's saved.
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"""
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capture_start = time.time()
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image, metadata = self.capture_image(cam, metadata_getter, logger)
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acquired.set()
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acquisition_time = time.time()
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self.save_capture(jpeg_path, image, metadata, logger)
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save_time = time.time()
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acquisition_duration = round(acquisition_time - capture_start, 1)
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saving_duration = round(save_time - acquisition_time, 1)
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logger.debug(
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f"Acquired {jpeg_path} in {acquisition_duration}s then {saving_duration}s saving to disk"
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)
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def capture_image(
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self,
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cam: CamDep,
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metadata_getter: GetThingStates,
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logger: InvocationLogger,
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) -> tuple[np.ndarray, dict]:
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"""Capture an image in memory and return it with metadata
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This will set the event `acquired` once the image has been acquired, so
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that the stage may be moved while it's saved.
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CaptureError raised if the capture fails for any reason
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returns tuple with numpy array of image data, and dict of metadata
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"""
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try:
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metadata = metadata_getter()
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image = cam.capture_array()[..., :3]
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except Exception as e:
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raise CaptureError(
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"An error occurred while capturing: {}".format(e), exc_info=e
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)
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return image, metadata
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def save_capture(self,
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jpeg_path: str,
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image: np.ndarray,
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metadata: dict,
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logger: InvocationLogger
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) -> None:
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"""Saving the captured image and metadata to disk
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logger warning (via InvocationLogger) is raised if metadata is failed to be added
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IOError is raised if the file cannot be saved
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nothing is returned on success"""
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try:
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Image.fromarray(image.astype("uint8"), "RGB").save(
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jpeg_path, quality=95, subsampling=0
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)
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try:
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exif_dict = piexif.load(jpeg_path)
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exif_dict["Exif"][piexif.ExifIFD.UserComment] = json.dumps(
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metadata
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).encode("utf-8")
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piexif.insert(piexif.dump(exif_dict), jpeg_path)
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except:
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logger.warning(f"Failed to add metadata to {jpeg_path}")
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except Exception as e:
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raise IOError(
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f"An error occurred while saving {jpeg_path}: {e}",
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exc_info=e,
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)
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@thing_property
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def max_range(self) -> int:
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"""The maximum distance from the centre of the scan before we break"""
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@ -1239,3 +1254,7 @@ class SmartScanThing(Thing):
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zip = [os.path.normpath(i) for i in zip.namelist()]
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return zip
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class CaptureError(RuntimeError):
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"""An error trying to capture from Picamera"""
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