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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。
  • openmv什么时候可以使用VGA模式?



    • 我在把颜色识别和形状识别结合在一起的时候,发现可能是像素点太少的缘故,当距离较远或者角度不正的时候,会识别失败,所以想把QQVGA换成VGA,但是它会报错如下,有人知道怎么才能使用VGA模式吗?我用的7725v3和stm32H7芯片,所以不用担心处理速度的问题。

      import sensor, image, time
      color_threshold1 = (0, 255, 40, 80, 40, 70)
      color_threshold2 = (0, 130, 40, 80, 40, 70)
      
      sensor.reset() # Initialize the camera sensor.
      
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      
      sensor.set_framesize(sensor.QQVGA) # use QVGA for quailtiy ,use QQVGA for speed.
      
      sensor.skip_frames(10) # Let new settings take affect.
      
      sensor.set_auto_whitebal(False)
      
      #关闭白平衡。白平衡是默认开启的,在颜色识别中,需要关闭白平衡。
      
      clock = time.clock() # Tracks FPS.
      
      #扩宽roi
      def expand_roi(roi):
      
          # set for QQVGA 160*120
      
          extra = 5
      
          win_size = (160, 120)
      
          (x, y, width, height) = roi
      
          new_roi = [x-extra, y-extra, width+2*extra, height+2*extra]
      
      
      
          if new_roi[0] < 0:
      
              new_roi[0] = 0
      
          if new_roi[1] < 0:
      
              new_roi[1] = 0
      
          if new_roi[2] > win_size[0]:
      
              new_roi[2] = win_size[0]
      
          if new_roi[3] > win_size[1]:
      
              new_roi[3] = win_size[1]
      
      
      
          return tuple(new_roi)
      
      
      
      while(True):
      
          clock.tick() # Track elapsed milliseconds between snapshots().
      
          img = sensor.snapshot() # Take a picture and return the image.
      
          #  pixels_threshold=100, area_threshold=100
      
          blobs = img.find_blobs([color_threshold1], area_threshold=150)
      
      
      
          if blobs:
      
          #如果找到了目标颜色
      
              print(blobs)
      
              for blob in blobs:
      
              #迭代找到的目标颜色区域
      
                  is_rect = 0
      
                  rect_s=0
      
                  max_s = -1
      
      
                  new_roi = expand_roi(blob.rect())
      
      
                  for c in img.find_rects():
      
                      is_rect = 1
      
                      rect_s=c.y()*c.h()
                      # img.draw_rectangle(x,y,w,h [,color[,thickness=1[,fill=False]]])
      
                      if rect_s > max_s:
      
                          max_s = rect_s
      
                          max_rect = c
      
                  if is_rect:
      
                      # 如果有对应颜色的矩形 标记外框
      
                      img.draw_rectangle(new_roi) # rect
      
                      img.draw_rectangle(blob.rect()) # rect
      
                      #用矩形标记出目标颜色区域
      
                      img.draw_cross(blob[5], blob[6]) # cx, cy
      
                      img.draw_rectangle(max_rect.x(), max_rect.y(), max_rect.w(),  max_rect.h(),color = (0, 255, 0))
      
                      img.draw_rectangle(max_rect.x()-1, max_rect.y()-1, max_rect.w()+2,  max_rect.h()+2,color = (0, 255, 0))
      
      
      
      
      
          print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
      
          # connected to your computer. The FPS should increase once disconnected.
      ![0_1563880779720_1.PNG](https://fcdn.singtown.com/55dd819e-826d-4e91-a4ac-083e8576c64b.PNG) 
      


    • VGA模式下是压缩图像,不能进行算法处理。



    • @kidswong999 嗯,多谢解惑呀



    • 能不能识别多种颜色然后同时画框



    • @egxs 不同的问题,单独发帖子。