颜色识别的判断及其反应

upk2

当找到颜色块时，怎样控制引脚做出高低电位的反应？

yuan

https://forum.singtown.com/topic/338/openmv引脚怎么读取高低电平

openmv萌新

这是我用过的程序，你看看有没有捏能用到的地方

# Single Color RGB565 Blob Tracking Example
#
# This example shows off single color RGB565 tracking using the OpenMV Cam.

import sensor, image, time,pyb
#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.


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()




#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())
        print(123)
    if blob.cx()==img.width()/2:
        print(666)  
        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 
   #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
 
 #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ROI，代码确定为红色，中间均分，坐标中间，从而进行相应的定位