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    w4ek

    @w4ek

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    w4ek 发布的帖子

    • openmv部署edgeimpluse导出的模型运行时报错

      edgeimpluse上面训练的模型怎么在openmv上部署?我在ide里面打开脚本运行报错,好像是内存不够的原因,加了SD卡也不行。0_1679722775424_微信图片_20230325133926.png

      发布在 OpenMV Cam
      w4ek
    • openmv h7 运行edgeimpules上训练好的检测人脸有无戴口罩报错

      0_1679661589386_微信图片_20230324203914.png
      请在这里粘贴代码

      
      import sensor, image, time, os, tf, uos, gc
      
      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 = None
      labels = None
      
      try:
          # load the model, alloc the model file on the heap if we have at least 64K free after loading
          net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
      except Exception as e:
          print(e)
          raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')
      
      try:
          labels = [line.rstrip('\n') for line in open("labels.txt")]
      except Exception as e:
          raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')
      
      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 net.classify(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()))
      
              for i in range(len(predictions_list)):
                  print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
      
          print(clock.fps(), "fps")
      
      a261159.png)
      发布在 OpenMV Cam
      w4ek
    • RE: 使用AprilTags 例程出现问题

      @kidswong999 在 使用AprilTags 例程出现问题 中说:

      者代码
      好的谢谢

      发布在 OpenMV Cam
      w4ek
    • RE: 使用AprilTags 例程出现问题

      返回的id跟旋转角度根本不正确,而且边框和中心光标都画不出来,为啥?

      发布在 OpenMV Cam
      w4ek
    • 使用AprilTags 例程出现问题

      0_1638542880649_8334fe9f-60ce-4ea9-a156-ce9b74528174-image.png
      返回的值是错误的,而且好久才返回一次为什么?

      发布在 OpenMV Cam
      w4ek