• 免费好用的星瞳AI云服务上线!简单标注,云端训练,支持OpenMV H7和OpenMV H7 Plus。可以替代edge impulse。 https://forum.singtown.com/topic/9519
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  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 这个怎魔改才能把这个测距功能通过WiFi拓展版让手机能看见



    • import sensor, image, time, network, usocket, sys
      
      SSID ='lll'
      KEY ='1234567890'
      HOST =''
      PORT =8080
      
      
      
      
      yellow_threshold   = (14, 82, 11, 116, 46, -21)
      
      
      
      
      
      sensor.reset()# Initialize the camera sensor.
      
      sensor.set_contrast(1)
      sensor.set_brightness(1)
      sensor.set_saturation(1)
      sensor.set_gainceiling(16)
      
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      
      sensor.skip_frames(10) # Let new settings take affect.
      
      sensor.set_auto_whitebal(False) # turn this off.
      
      clock = time.clock() # Tracks FPS.
      
      wlan = network.WINC(mode=network.WINC.MODE_AP)
      
      wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)
      
      
      
      #您可以阻止等待客户端连接
      
      #print(wlan.wait_for_sta(10000))
      
      
      
      def start_streaming(s):
      
          print ('Waiting for connections..')
      
          client, addr = s.accept()
      
          # 将客户端套接字超时设置为2秒
      
          client.settimeout(2.0)
      
          print ('Connected to ' + addr[0] + ':' + str(addr[1]))
      
      
      
      
      
      K=1300#the value should be measured
      
      
      
      while(True):
      
          clock.tick() # Track elapsed milliseconds between snapshots().
      
          img = sensor.snapshot() # Take a picture and return the image.
      
      
      
          blobs = img.find_blobs([yellow_threshold])
      
          if len(blobs) == 1:
      
              # Draw a rect around the blob.
      
              b = blobs[0]
      
              img.draw_rectangle(b[0:4]) # rect
      
              img.draw_cross(b[5], b[6]) # cx, cy
      
              Lm = (b[2]+b[3])/2
      
              c = K/Lm
      
              img.draw_string(10,10, str(c))
      
              print(c)