• 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
  • 我们只解决官方正版的OpenMV的问题(STM32),其他的分支有很多兼容问题,我们无法解决。
  • 如果有产品硬件故障问题,比如无法开机,论坛很难解决。可以直接找售后维修
  • 发帖子之前,请确认看过所有的视频教程,https://singtown.com/learn/ 和所有的上手教程http://book.openmv.cc/
  • 每一个新的提问,单独发一个新帖子
  • 帖子需要目的,你要做什么?
  • 如果涉及代码,需要报错提示全部代码文本,请注意不要贴代码图片
  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 请问为何在电脑上可以运行,脱机运行就无法连接wifi?



    • 0_1555560507937_Screenshot_20190418_120413.jpg



    • 如果涉及代码,需要报错提示与全部代码文本,请注意不要贴代码图片



    • # MJPEG Streaming AP.
      #
      # This example shows off how to do MJPEG streaming in AccessPoint mode.
      # Chrome, Firefox and MJpegViewer App on Android have been tested.
      # Connect to OPENMV_AP and use this URL: http://192.168.1.1:8080 to view the stream.
      
      import sensor, image, time, network, usocket, sys
      
      SSID ='OPENMV_AP'    # Network SSID
      KEY  ='1234567890'    # Network key (must be 10 chars)
      HOST = ''           # Use first available interface
      PORT = 8080         # Arbitrary non-privileged port
      
      # Reset sensor
      sensor.reset()
      # Set sensor settings
      sensor.set_contrast(1)
      sensor.set_brightness(1)
      sensor.set_saturation(1)
      sensor.set_gainceiling(16)
      sensor.set_framesize(sensor.QVGA)
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      # Init wlan module in AP mode.
      wlan = network.WINC(mode=network.WINC.MODE_AP)
      wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)
      
      # Load Haar Cascade
      # By default this will use all stages, lower satges is faster but less accurate.
      face_cascade = image.HaarCascade("frontalface", stages=25)
      print(face_cascade)
      
      # You can block waiting for client to connect
      #print(wlan.wait_for_sta(10000))
      
      def start_streaming(s):
          print ('Waiting for connections..')
          client, addr = s.accept()
          # set client socket timeout to 2s
          client.settimeout(2.0)
          print ('Connected to ' + addr[0] + ':' + str(addr[1]))
      
          # Read request from client
          data = client.recv(1024)
          # Should parse client request here
      
          # Send multipart header
          client.send("HTTP/1.1 200 OK\r\n" \
                      "Server: OpenMV\r\n" \
                      "Content-Type: multipart/x-mixed-replace;boundary=openmv\r\n" \
                      "Cache-Control: no-cache\r\n" \
                      "Pragma: no-cache\r\n\r\n")
      
          # FPS clock
          clock = time.clock()
      
          # Start streaming images
          # NOTE: Disable IDE preview to increase streaming FPS.
          while (True):
              clock.tick() # Track elapsed milliseconds between snapshots().
              frame = sensor.snapshot()
              cframe = frame.compressed(quality=35)
              header = "\r\n--openmv\r\n" \
                       "Content-Type: image/jpeg\r\n"\
                       "Content-Length:"+str(cframe.size())+"\r\n\r\n"
              client.send(header)
              client.send(cframe)
              #print(clock.fps())
              
      
      
              img = sensor.snapshot()
      
      
              clock.tick()
              # Find objects.
              # Note: Lower scale factor scales-down the image more and detects smaller objects.
              # Higher threshold results in a higher detection rate, with more false positives.
              objects = img.find_features(face_cascade, threshold=0.75, scale=1.35)
              #image.find_features(cascade, threshold=0.5, scale=1.5),thresholds越大,
              #匹配速度越快,错误率也会上升。scale可以缩放被匹配特征的大小。
      
              #在找到的目标上画框,标记出来
              # Draw objects
              for r in objects:
                  img.draw_rectangle(r)
      
              # Print FPS.
              # Note: Actual FPS is higher, streaming the FB makes it slower.
              #print(clock.fps())
              if objects:
                  middle = int((objects[0][0]+objects[0][2])/2)
                  print(middle)
              else:
                  print('no')
      
      
      
      
              
      
      #clock = time.clock()
      
      while (True):
          # Create server socket
          s = usocket.socket(usocket.AF_INET, usocket.SOCK_STREAM)
          try:
              # Bind and listen
              s.bind([HOST, PORT])
              s.listen(5)
      
              # Set server socket timeout
              # NOTE: Due to a WINC FW bug, the server socket must be closed and reopened if
              # the client disconnects. Use a timeout here to close and re-create the socket.
              s.settimeout(3)
              start_streaming(s)
          except OSError as e:
              s.close()
              print("socket error: ", e)
              #sys.print_exception(e)
              
         
      


    • 这是我写的代码,而且人脸识别的识别精度比例程差了许多,请问原因?



    • @19805185968 不同的问题单独发帖子。



    • @kidswong999 好的,但请先把WIFI无法脱机运行的的问题解决一下好吗,上面是代码



    • 我现在在外地,等回去拿到Wi-Fi扩展板测试一下。



    • OpenMV的wifi扩展板当作热点时,只能连接一个设备。
      你是不是既连了手机,还要连接电脑?



    • @kidswong999 并没有,电脑端并没有连接OPENMV的热点,还有就是使用5V电源直接供电OPENMV灯明显闪烁的不对,手机上也搜不到热点,我是使用充电宝供电才出现热点,但无法连接!