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  • 颜色形状识别_识别矩形后+find_blobs如何实现?



    • 看完教程后,发现小姐姐提了三种方法实现颜色形状同时识别,但因为我是想要在追球小车上实现颜色形状同时识别,所以我想用第二种方法,自己尝试了一下,调了一下午都没成功,想问问有没有成功了的程序,官网上仅有识别形状+识别像素点的例程。以下是我没成功的代码(在小车代码的基础上修改)
      while(True): clock.tick() # Track elapsed milliseconds between snapshots(). img = sensor.snapshot().lens_corr(1.8) # Take a picture and return the image. for r in img.find_rects(threshold = 10000): area = (r.x()-r.w()/2,r.y()-r.h()/2,r.h(),r.w()) blobs = img.find_blobs([red_threshold],roi=int(area)) if blobs: max_blob = find_max(blobs) x_error = max_blob[5]-img.width()/2 h_error = max_blob[2]*max_blob[3]-size_threshold print("x error: ", x_error) ''' for b in blobs: # Draw a rect around the blob. img.draw_rectangle(b[0:4]) # rect img.draw_cross(b[5], b[6]) # cx, cy ''' img.draw_rectangle(max_blob[0:4]) # rect img.draw_cross(max_blob[5], max_blob[6]) # cx, cy x_output=x_pid.get_pid(x_error,1) h_output=h_pid.get_pid(h_error,1) print("h_output",h_output) car.run(-h_output-x_output,-h_output+x_output) else: car.run(18,-18)



    • 你提供的代码不全,要全部的代码文本。



    • import sensor, image, timeimport car from pid import PIDsensor.reset()sensor.set_pixformat(sensor.RGB565)sensor.set_framesize(sensor.QQVGA)sensor.skip_frames(10)sensor.set_auto_whitebal(False)clock = time.clock() red_threshold = (34, 67, 28, 85, -17, 73)green_threshold = (76, 96, -110, -30, 8, 66)size_threshold = 2000x_pid = PID(p=0.5, i=1, imax=100)h_pid = PID(p=0.05, i=0.1, imax=50)def find_max(blobs): max_size=0 for blob in blobs: if blob[2]*blob[3] > max_size: max_blob = blob max_size = blob[2]*blob[3] return max_blob

      while(True): clock.tick() # Track elapsed milliseconds between snapshots(). img = sensor.snapshot().lens_corr(1.8) # Take a picture and return the image. for r in img.find_rects(threshold = 10000): area = (r.x()-r.w()/2,r.y()-r.h()/2,r.h(),r.w()) blobs = img.find_blobs([red_threshold],roi=int(area)) if blobs: max_blob = find_max(blobs) x_error = max_blob[5]-img.width()/2 h_error = max_blob[2]*max_blob[3]-size_threshold print("x error: ", x_error) ''' for b in blobs: # Draw a rect around the blob. img.draw_rectangle(b[0:4]) # rect img.draw_cross(b[5], b[6]) # cx, cy ''' img.draw_rectangle(max_blob[0:4]) # rect img.draw_cross(max_blob[5], max_blob[6]) # cx, cy x_output=x_pid.get_pid(x_error,1) h_output=h_pid.get_pid(h_error,1) print("h_output",h_output) car.run(-h_output-x_output,-h_output+x_output) else: car.run(18,-18)



    • img.find_rects下面一行,area = r.rect()就可以了。
      find_blobs那一行,roi=area就行。

      import sensor, image, time
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QQVGA)
      sensor.skip_frames(10)
      sensor.set_auto_whitebal(False)
      clock = time.clock() 
      red_threshold	= (34, 67, 28, 85, -17, 73)
      green_threshold  = (76, 96, -110, -30, 8, 66)
      size_threshold = 2000
      
      def find_max(blobs):
          max_size=0
          for blob in blobs:
              if blob[2]*blob[3] > max_size:
                  max_blob = blob
                  max_size = blob[2]*blob[3]
          return max_blob
      
      while(True):
          clock.tick() # Track elapsed milliseconds between snapshots().
          img = sensor.snapshot().lens_corr(1.8) # Take a picture and return the image.
          for r in img.find_rects(threshold = 10000):
              area = r.rect()
              blobs = img.find_blobs([red_threshold],roi=area)
              if blobs:
                  max_blob = find_max(blobs)
                  img.draw_rectangle(max_blob[0:4]) # rect        
                  img.draw_cross(max_blob[5], max_blob[6]) # cx, cy   
              else:   
                  pass
      


    • 好得,我现在就去试试,谢谢小姐姐