51 lines
1.9 KiB
Python
51 lines
1.9 KiB
Python
import datetime
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import logging
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from io import BytesIO
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import numpy as np
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from flask import send_file
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from labthings import find_component
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from labthings.views import PropertyView
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from PIL import Image
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class LSTImageProperty(PropertyView):
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"""Gets the lens-shading table as an image"""
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responses = {
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200: {
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"content": {"image/jpeg": {}},
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"description": "Lens-shading table in RGB format",
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}
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}
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def get(self):
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"""
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Get the lens shading table as an image.
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"""
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microscope = find_component("org.openflexure.microscope")
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# Return intentionally empty response if no LST is available
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if microscope.get_configuration()["camera"]["type"] != "PiCameraStreamer":
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logging.warning("Requested an LST from a non-PiCameraStreamer camera")
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return ("", 204)
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# Return intentionally empty response if we have a valid PiCamera but no LST
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elif getattr(microscope.camera.camera, "lens_shading_table") is None:
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logging.warning("PiCamera.lens_shading_table returned as None")
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return ("", 204)
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else:
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# Get the LST Numpy array from the camera's memoryview
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lst = np.asarray(microscope.camera.camera.lens_shading_table)
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# Create array of R next to G1
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top = np.concatenate(lst[:2], axis=1)
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# Create array of G2 next to B
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bottom = np.concatenate(lst[2:], axis=1)
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# Create combined array of 2x2 grid of greyscale images
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all_channels = np.concatenate((top, bottom), axis=0)
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# Create a PNG
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img_bytes: BytesIO = BytesIO()
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Image.fromarray(np.uint8(all_channels), "L").save(img_bytes, "PNG")
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img_bytes.seek(0)
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# Return the image
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fname: str = f"lst-{datetime.date.today().isoformat()}.png"
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return send_file(img_bytes, as_attachment=True, attachment_filename=fname)
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