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All the drawing functions have been updated to handle automatic clipping when drawing offscren and work with both grayscale and RGB565. Additionally, all functions now accept color arguments. I've also updated the example scripts with the new functions and tested them out to make sure they work. Additionally, I wrote a test suite for the drawing functions to make sure they work.
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
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(1)
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sensor.set_gainceiling(16)
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sensor.set_framesize(sensor.QCIF)
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sensor.set_pixformat(sensor.GRAYSCALE)
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# Load Haar Cascade
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# By default this will use all stages, lower satges is faster but less accurate.
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face_cascade = image.HaarCascade("frontalface", stages=16)
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print(face_cascade)
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# FPS clock
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clock = time.clock()
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while (True):
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clock.tick()
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# Capture snapshot
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img = sensor.snapshot()
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# Find objects.
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# Note: Lower scale factor scales-down the img more and detects smaller objects.
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# Higher threshold results in a higher detection rate, with more false positives.
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objects = img.find_features(face_cascade, threshold=0.65, scale=1.65)
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# Draw objects
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for roi in objects:
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#img.histeq()
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eyes = img.find_eyes(roi)
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img.draw_cross(eyes[0], eyes[1])
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img.draw_cross(eyes[2], eyes[3])
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img.draw_rectangle(roi)
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if (len(objects)):
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# Add a small delay to see the drawing on the FB
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time.sleep(100)
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# Print FPS.
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# Note: Actual FPS is higher, streaming the FB makes it slower.
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print(clock.fps())
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