在這里插入代碼片 #學習OpenMV 2020.7.23 輸出print 列表List if如果相等則是== 冪運算** 累加要先給存儲的變量賦初值 初始為0 for 變量 in range（100） sum=sum+變量 最后要print（sum）才能得到最后的值
for循環 and while循環 for+變量+in range(范圍，終值值，步長值）：
函數定義 def 函數名（參數）： 功能語句 return 返回值 下面展示一些 內聯代碼片。
```python# Single Color RGB565 Blob Tracking Example
#
# This example shows off single color RGB565 tracking using the OpenMV Cam.import sensor, image, time, maththreshold_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_thresholdssensor.reset() #初始化相機傳感器
sensor.set_pixformat(sensor.RGB565)#設置相機的傳感器模式
sensor.set_framesize(sensor.QVGA)#設置相機模塊幀的大小
sensor.skip_frames(time = 2000)#跳過2000毫秒的幀
sensor.set_auto_gain(False) # must be turned off for color tracking #關閉自動增益
sensor.set_auto_whitebal(False) # must be turned off for color tracking
clock = time.clock()# 關閉自動白平衡# 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())#在圖像上繪制一個矩形img.draw_cross(blob.cx(), blob.cy())#在圖像上繪制一個十字# 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(clock.fps())#在圖像上繪制關鍵點
