代码可以识别摄像头捕捉的白色区域的面积(数值),如果被其他颜色物体遮挡,也能大致返回剩余白色部分的面积(数值)
Z
z6la 发布的帖子
-
怎么把blob.area()返回的数值全部相加?
# Multi Color Blob Tracking Example # # This example shows off multi color blob tracking using the OpenMV Cam. import sensor, image, time, math # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max) # The below thresholds track in general red/green things. You may wish to tune them... thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds (15, 84, -53, -10, -30, 20), # generic_green_thresholds (47, 75, -128, 21, 31, 127)] # generic_blue_thresholds # You may pass up to 16 thresholds above. However, it's not really possible to segment any # scene with 16 thresholds before color thresholds start to overlap heavily. 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. Don't set "merge=True" becuase that will merge blobs which we don't want here. while(True): clock.tick() img = sensor.snapshot() for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=1000): # 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(blob.area()) time.sleep(1000)