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Update template matching script to use binning, ROI and step.
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@ -14,20 +14,28 @@ import time, sensor, image
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sensor.reset()
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sensor.reset()
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# Set sensor settings
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# Set sensor settings
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sensor.set_brightness(0)
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sensor.set_contrast(1)
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sensor.set_saturation(0)
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sensor.set_gainceiling(16)
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sensor.set_gainceiling(16)
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sensor.set_contrast(2)
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sensor.set_framesize(sensor.VGA)
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sensor.set_framesize(sensor.QQVGA)
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sensor.set_binning(((640-80)//2, (480-60)//2, 80, 60))
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sensor.set_pixformat(sensor.GRAYSCALE)
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sensor.set_pixformat(sensor.GRAYSCALE)
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# Load template
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# Load template.
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template = image.Image("/template.bmp") # Image should be like 32x32 grayscale.
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# Template should be a small (eg. 32x32 pixels) grayscale image.
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template = image.Image("/template2.pgm")
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clock = time.clock()
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# Run template matching
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# Run template matching
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while (True):
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while (True):
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clock.tick()
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img = sensor.snapshot()
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img = sensor.snapshot()
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r = img.find_template(template, 0.75)
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# find_template(template, threshold, [roi, step])
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# ROI: The region of interest tuple (x, y, w, h).
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# Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster.
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# Note: ROI has to be smaller than the image and bigger than the template.
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r = img.find_template(template, 0.70, step=3) #, roi=(10, 0, 60, 60))
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if r:
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if r:
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img.draw_rectangle(r)
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img.draw_rectangle(r)
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print(clock.fps())
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