if blob.elongation() > 0.5: 怎么判定为0.5的？
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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 = [(67, 82, -128, 127, 28, 127)] # generic_red_thresholds 阈值设置，代表LAB的最大值和最小值 sensor.reset() #重置感光元件/重置摄像机 sensor.set_pixformat(sensor.RGB565) #设置模式为彩图 sensor.set_framesize(sensor.QVGA) #设置图像大小为QVGA sensor.skip_frames(time = 2000) #使以上操作生效 sensor.set_auto_gain(False) # must be turned off for color tracking 关闭颜色增益 sensor.set_auto_whitebal(False) # must be turned off for color tracking 关闭白平衡 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() #开始追踪运行时间 img = sensor.snapshot() #在感光元件截取一张图 for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=320, area_threshold=400, merge=True): #img.find_blobs()函数创建一个class image.blob对象，返回一个包含多个元素的字典 # These values depend on the blob not being circular - otherwise they will be shaky. if blob.elongation() > 0.5: #返回一个介于0和1之间的值，该值表示对象的长度（不是圆形）。一条线将是1。 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()) #识别到颜色则画框框起 img.draw_cross(blob.cx (), blob.cy()) #识别到颜色则画十字 # 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) # print(clock.fps())#停止追踪运行时间，并返回当前帧数
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@kidswong999
可是点开链接后是这样的，根本看不到什么