• 星瞳AI VISION软件内测!可以离线标注,训练,并生成OpenMV的模型。可以替代edge impulse https://forum.singtown.com/topic/8206
  • 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。
  • 运行时显示 OSError:[Erron 2]ENOENT



    • # Edge Impulse - OpenMV Image Classification Example
      
      import sensor, image, time, os, tf
      from pyb import Pin
      from pyb import LED
      sensor.reset()                         # Reset and initialize the sensor.
      sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
      sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240)
      sensor.set_windowing((240, 240))       # Set 240x240 window.
      sensor.skip_frames(time=2000)          # Let the camera adjust.
      
      net = "trained.tflite"
      labels = [line.rstrip('\n') for line in open("labels.txt")]
      
      s=0  # ����������ֵ
      b=0  # ��������
      
      clock = time.clock()
      while(True):
          clock.tick()
      
          img = sensor.snapshot()
      
          # default settings just do one detection... change them to search the image...
          for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
              print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
              img.draw_rectangle(obj.rect())
              # This combines the labels and confidence values into a list of tuples
              predictions_list = list(zip(labels, obj.output()))
              s=s+predictions_list[1][1]
              b=b+1
              if b>4:
                 b=0
                 if s/5 > 0.99:
                    led = LED(2) # ��led
                    led.toggle()
                    led.on()  #��
                    s=0
                 else:
                    led = LED(2)
                    led.toggle()
                    led.off()  #��
                    s=0
      
                    #p_out = Pin('P7', Pin.OUT_PP)  # ����p_out��������
                    #p_out.high()  # ����p_out������
      
              for i in range(len(predictions_list)):
                  print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
      
          print(clock.fps(), "fps")
      
      

      1_1649943140098_信息.png 0_1649943140096_问题.png



    • https://singtown.com/learn/50872/

      按照视频步骤操作。