小车中央时停止
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各位大佬大家好，我有一个非常严肃的问题想问大家，我想让小车缓缓经过物料（物料为长方体，有固定颜色），在物料处于小车中央的摄像头中央时停止，请问我应该怎么设计程序呢？我几天一直在查，发现有以下几种方法：1.利用ROI，把ROI变得适当的小，然后当ROI区域内检测到相应颜色，即if blobs时候，小车停止。
2.我打算利用色块的坐标，即img.draw_string(100,100,'x='+str(blob.cx()), color=(0,0,0))
img.draw_string(100,100,'y=+'str(blob.cy()), color=(0,0,0))，当相应颜色的坐标处于屏幕中央的时候小车停止。
我刚刚入门，只能想出这两种办法，希望好心人能帮我分析下可行性，或者提出更好的建议，谢谢了！！！救救孩子
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此回复已被删除！
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@kidswong999 您好，我已经对我的程序进行了相应的修改，我把小车停止模拟成了小灯亮，但是无法实现啊，请问是不是我的程序有错误啊？而且运行起来的时候一卡一卡的，是不是我有什么地方写错了啊
# Single Color RGB565 Blob Tracking Example # # This example shows off single color RGB565 tracking using the OpenMV Cam. import sensor, image, time,pyb 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... #将蓝灯赋值给变量led led = pyb.LED(3) # Red LED = 1, Green LED = 2, Blue LED = 3, IR LEDs = 4. usb = pyb.USB_VCP() # This is a serial port object that allows you to # communciate with your computer. While it is not open the code below runs. 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() #ROI=(80,30,15,15)#左上方 # 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): img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) led.on() time.sleep(600) #此处为lcd输出XY坐标img.draw_string(100,100,'x='+str(blob.cx()), color=(0,0,0)) #img.draw_string(100,100,'y=+'str(blob.cy()), color=(0,0,0)) # thresholds[0]为色域的第一个，即为红色，见视频颜色16min if blob.cx()==img.width()/2: led.on() time.sleep(600) print(blob) #rotation为旋转的弧度，通过这个来确认垂直时候停止 print(blob.code()) #打印出来相应颜色的代码，可以通过这个进行串口通信 #通过90度，小RIO，代码确定为红色，从而进行相应的定位
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不好意思，已经弄懂了，只要把语句对齐就好了
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@openmv萌新 哥我问一下如果相应的颜色位于中央小车停的程序怎么写啊
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