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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.
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
# Find Data Matrices Example
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#
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# This example shows off how easy it is to detect data matrices using the
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# OpenMV Cam M7. Data matrices detection does not work on the M4 Camera.
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import sensor, image, time, math
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sensor.reset()
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_framesize(sensor.QVGA)
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sensor.skip_frames(time = 2000)
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sensor.set_auto_gain(False) # must turn this off to prevent image washout...
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sensor.set_auto_whitebal(False) # must turn this off to prevent image washout...
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clock = time.clock()
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while(True):
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clock.tick()
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img = sensor.snapshot()
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img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
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matrices = img.find_datamatrices()
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for matrix in matrices:
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img.draw_rectangle(matrix.rect(), color = (255, 0, 0))
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print_args = (matrix.rows(), matrix.columns(), matrix.payload(), (180 * matrix.rotation()) / math.pi, clock.fps())
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print("Matrix [%d:%d], Payload \"%s\", rotation %f (degrees), FPS %f" % print_args)
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if not matrices:
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print("FPS %f" % clock.fps())
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