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This was necessary due to the increase in the frame rate. The previous method did not correlate to time. All scripts updated.
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Keypoints descriptor example.
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# This example shows how to save a keypoints descriptor to file. Show the camera an object
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# and then run the script. The script will extract and save a keypoints descriptor and the image.
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# You can use the keypoints_editor.py util to remove unwanted keypoints.
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#
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# NOTE: Please reset the camera after running this script to see the new file.
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import sensor, time, image
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# Reset sensor
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sensor.reset()
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# Sensor settings
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sensor.set_contrast(3)
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sensor.set_gainceiling(16)
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sensor.set_framesize(sensor.VGA)
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sensor.set_windowing((320, 240))
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sensor.set_pixformat(sensor.GRAYSCALE)
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sensor.skip_frames(time = 2000)
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sensor.set_auto_gain(False, value=100)
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FILE_NAME = "desc"
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img = sensor.snapshot()
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# NOTE: See the docs for other arguments
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# NOTE: By default find_keypoints returns multi-scale keypoints extracted from an image pyramid.
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kpts = img.find_keypoints(max_keypoints=150, threshold=10, scale_factor=1.2)
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if (kpts == None):
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raise(Exception("Couldn't find any keypoints!"))
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image.save_descriptor(kpts, "/%s.orb"%(FILE_NAME))
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img.save("/%s.pgm"%(FILE_NAME))
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img.draw_keypoints(kpts)
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sensor.snapshot()
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time.sleep(1000)
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raise(Exception("Done! Please reset the camera"))
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