颜色识别出错这是什么原因 我只想能狗区分红绿颜色,然后绿色的话灯亮,红色蜂鸣器响加灯亮
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# Single Color RGB565 Blob Tracking Example # # This example shows off single color RGB565 tracking using the OpenMV Cam. import sensor, image, time#, math threshold_index = 0 # 0 for red, 1 for green, 2 for blue # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max) # The below thresholds track in general red/green/blue things. You may wish to tune them... thresholds = [(30, 100, 15, 127, 15, 127)], # generic_red_thresholds # (30, 100, -64, -8, -32, 32), # generic_green_thresholds # (0, 30, 0, 64, -128, 0)] # generic_blue_thresholds sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.skip_frames(time = 2000) sensor.set_auto_gain(False) # must be turned off for color tracking sensor.set_auto_whitebal(False) # must be turned off for color tracking clock = time.clock() # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the # camera resolution. "merge=True" merges all overlapping blobs in the image. while(True): clock.tick() img = sensor.snapshot() for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True): # These values depend on the blob not being circular - otherwise they will be shaky. # if blob.elongation() > 0.5: # img.draw_edges(blob.min_corners(), color=(255,0,0)) # img.draw_line(blob.major_axis_line(), color=(0,255,0)) # img.draw_line(blob.minor_axis_line(), color=(0,0,255)) # These values are stable all the time. img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) # Note - the blob rotation is unique to 0-180 only. # img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20) print(clock.fps())
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最开始thresholds = [(30, 100, 15, 127, 15, 127)],
多了一个逗号