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    3sbx

    @3sbx

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    3sbx 发布的帖子

    • RE: 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

      @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)
      
      发布在 OpenMV Cam
      3
      3sbx
    • RE: 请问一下追踪小车car.py里,run(left_speed, right_speed)中,相对应的电机角速度是多少?

      @kidswong999 就是官方的n20电机,那对应的转速能知道不?

      发布在 OpenMV Cam
      3
      3sbx
    • RE: 请问一下追踪小车car.py里,run(left_speed, right_speed)中,相对应的电机角速度是多少?

      就是官方的n20电机,那对应的转速能知道不?

      发布在 OpenMV Cam
      3
      3sbx
    • RE: 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

      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)
                  
          
      
      
      
      
      
      发布在 OpenMV Cam
      3
      3sbx
    • 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)
      
      
      
      
      
      
      发布在 OpenMV Cam
      3
      3sbx
    • 追踪小车里,如何让小车固定一个角度寻找目标,比如90度,而不是转圈?

      追踪小车里,如何让小车固定一个角度寻找目标,而不是转圈?

      # 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)
      
      
      发布在 OpenMV Cam
      3
      3sbx
    • 请问一下追踪小车car.py里,run(left_speed, right_speed)中,相对应的电机角速度是多少?

      请问一下追踪小车car.py里,run(left_speed, right_speed)中,相对应的电机角速度是多少?比如car.run(10,20).对电机这一块不是很了解

      from pyb import Pin, Timer
      inverse_left=False  #change it to True to inverse left wheel
      inverse_right=False #change it to True to inverse right wheel
      
      ain1 =  Pin('P0', Pin.OUT_PP)
      ain2 =  Pin('P1', Pin.OUT_PP)
      bin1 =  Pin('P2', Pin.OUT_PP)
      bin2 =  Pin('P3', Pin.OUT_PP)
      ain1.low()
      ain2.low()
      bin1.low()
      bin2.low()
      
      pwma = Pin('P7')
      pwmb = Pin('P8')
      tim = Timer(4, freq=1000)
      ch1 = tim.channel(1, Timer.PWM, pin=pwma)
      ch2 = tim.channel(2, Timer.PWM, pin=pwmb)
      ch1.pulse_width_percent(0)
      ch2.pulse_width_percent(0)
      
      def run(left_speed, right_speed):
          if inverse_left==True:
              left_speed=(-left_speed)
          if inverse_right==True:
              right_speed=(-right_speed)
      
          if left_speed < 0:
              ain1.low()
              ain2.high()
          else:
              ain1.high()
              ain2.low()
          ch1.pulse_width_percent(int(abs(left_speed)))
      
          if right_speed < 0:
              bin1.low()
              bin2.high()
          else:
              bin1.high()
              bin2.low()
          ch2.pulse_width_percent(int(abs(right_speed)))
      
      发布在 OpenMV Cam
      3
      3sbx
    • RE: 在官方视频教程中,OpenMV追其他物体的小车,追踪Apriltag的确定是可以实现的?

      问题是在于同一个距离 小车转动的时候加上球怎么动,面积都是不怎么改变的,但是换成apriltag码的话,稍微动一下,面积都变了,效果就差很多很多了,怎么解决?

      发布在 OpenMV Cam
      3
      3sbx
    • RE: 在官方视频教程中,OpenMV追其他物体的小车,追踪Apriltag的确定是可以实现的?

      @3sbx 在论坛中也能搜到跟我一样的问题,能追小球,换成apriltag就不行

      发布在 OpenMV Cam
      3
      3sbx