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  • 追踪小车里,让小车固定一定范围寻找目标,加入pyb.delay之后相机也延迟了怎么解决



    • # Blob Detection Example
      #
      # This example shows off how to use the find_blobs function to find color
      # blobs in the image. This example in particular looks for dark green objects.
      
      import sensor, image, time, pyb
      import car
      from pid import PID
      
      # You may need to tweak the above settings for tracking green things...
      # Select an area in the Framebuffer to copy the color settings.
      led = pyb.LED(3)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      
      
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(50) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      # For color tracking to work really well you should ideally be in a very, very,
      # very, controlled enviroment where the lighting is constant...
      green_threshold   = (22, 85, -66, -28, -29, 65)
      #green_threshold   = (0, 16, 12, 33, -1, 24)
      size_threshold = 2000
      x_pid = PID(p=0.5, i=1, imax=0)
      h_pid = PID(p=0.03, i=0.1, imax=0)
      
      
      
      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() # Take a picture and return the image.
      
          blobs = img.find_blobs([green_threshold])
          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, cya
              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(10,0)
              pyb.delay(1500)
              car.run(-10,0)
              pyb.delay(1500)
      
      
      
      
      
      


    • 解决办法:再死循环里,使用pyb.millis()查询运行的时间,然后判断,而不使用delay。

      https://docs.singtown.com/micropython/zh/latest/openmvcam/library/pyb.html?highlight=millis#pyb.millis



    • 还是一样的

      # Blob Detection Example
      #
      # This example shows off how to use the find_blobs function to find color
      # blobs in the image. This example in particular looks for dark green objects.
      
      import sensor, image, time, pyb
      import car
      from pid import PID
      
      # You may need to tweak the above settings for tracking green things...
      # Select an area in the Framebuffer to copy the color settings.
      led = pyb.LED(3)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      
      
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(50) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      # For color tracking to work really well you should ideally be in a very, very,
      # very, controlled enviroment where the lighting is constant...
      green_threshold   = (22, 85, -66, -28, -29, 65)
      #green_threshold   = (0, 16, 12, 33, -1, 24)
      size_threshold = 2000
      x_pid = PID(p=0.5, i=1, imax=0)
      h_pid = PID(p=0.03, i=0.1, imax=0)
      
      
      
      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() # Take a picture and return the image.
      
          blobs = img.find_blobs([green_threshold])
          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, cya
              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:
              #pyb.delay(1500)
              #car.run(-10,0)
              #pyb.delay(1500)
              start = pyb.millis()
              #while pyb.elapsed_millis(start) > 10:
                  #car.run(-10,0)
                  ##start = pyb.millis()
              ##else:
                  ##car.run(-10,0)
              while pyb.elapsed_millis(start) < 2000:
                  car.run(10,0)
          ##start = pyb.millis()
              while pyb.elapsed_millis(start) < 4000:
                  car.run(-10,0)
                  
          
      
      
      
      
      


    • @kidswong999 也是一样😭

      # Blob Detection Example
      #
      # This example shows off how to use the find_blobs function to find color
      # blobs in the image. This example in particular looks for dark green objects.
      
      import sensor, image, time, pyb
      import car
      from pid import PID
      
      # You may need to tweak the above settings for tracking green things...
      # Select an area in the Framebuffer to copy the color settings.
      led = pyb.LED(3)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      
      
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(50) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      # For color tracking to work really well you should ideally be in a very, very,
      # very, controlled enviroment where the lighting is constant...
      green_threshold   = (22, 85, -66, -28, -29, 65)
      #green_threshold   = (0, 16, 12, 33, -1, 24)
      size_threshold = 2000
      x_pid = PID(p=0.5, i=1, imax=0)
      h_pid = PID(p=0.03, i=0.1, imax=0)
      
      
      
      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() # Take a picture and return the image.
      
          blobs = img.find_blobs([green_threshold])
          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, cya
              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:
              #pyb.delay(1500)
              #car.run(-10,0)
              #pyb.delay(1500)
              start = pyb.millis()
              #while pyb.elapsed_millis(start) > 10:
                  #car.run(-10,0)
                  ##start = pyb.millis()
              ##else:
                  ##car.run(-10,0)
              while pyb.elapsed_millis(start) < 2000:
                  car.run(10,0)
          ##start = pyb.millis()
              while pyb.elapsed_millis(start) < 4000:
                  car.run(-10,0)
      


    • # Blob Detection Example
      #
      # This example shows off how to use the find_blobs function to find color
      # blobs in the image. This example in particular looks for dark green objects.
      
      import sensor, image, time, pyb
      import car
      from pid import PID
      
      # You may need to tweak the above settings for tracking green things...
      # Select an area in the Framebuffer to copy the color settings.
      led = pyb.LED(3)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      time.sleep_ms(100)
      led.on()
      time.sleep_ms(150)
      led.off()
      
      
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(50) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      # For color tracking to work really well you should ideally be in a very, very,
      # very, controlled enviroment where the lighting is constant...
      green_threshold   = (22, 85, -66, -28, -29, 65)
      #green_threshold   = (0, 16, 12, 33, -1, 24)
      size_threshold = 2000
      x_pid = PID(p=0.5, i=1, imax=0)
      h_pid = PID(p=0.03, i=0.1, imax=0)
      
      
      
      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() # Take a picture and return the image.
      
          blobs = img.find_blobs([green_threshold])
          if blobs:
              last_time = pyb.millis()
              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, cya
              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:
              if pyb.elapsed_millis(last_time) % 2000 > 1000:
                  car.run(10,0)
              else
                  car.run(-10,0)
              
      

      思路就是不用while 用if,然后每次找到色块后更新时间。