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    txeg

    @txeg

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    txeg 发布的帖子

    • RE: 报错 OSError:Image format is not supported!

      @kidswong999
      我用的是星瞳星瞳OpenMV3 CamM7

      发布在 OpenMV Cam
      T
      txeg
    • RE: 如何修改云台來跟踪數字?

      @yuan

      import sensor, image, time
      
      from pid import PID
      from pyb import Servo
      
      pan_servo=Servo(1)
      tilt_servo=Servo(2)
      
      red_threshold  = (13, 49, 18, 61, 6, 47)
      
      pan_pid = PID(p=0.07, i=0, imax=90) #脱机运行或者禁用图像传输,使用这个PID
      tilt_pid = PID(p=0.05, i=0, imax=90) #脱机运行或者禁用图像传输,使用这个PID
      #pan_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID
      #tilt_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_contrast(1)
      sensor.set_gainceiling(16)
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(10) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      face_cascade = image.HaarCascade("frontalface", stages=25)
      
      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_features(face_cascade, threshold=0.75, scale=1.35)
          if blobs:
              max_blob = find_max(blobs)
              pan_error = max_blob[0]+max_blob[2]/2-img.width()/2
              tilt_error = max_blob[1]+max_blob[3]/2-img.height()/2
      
              print("pan_error: ", pan_error)
      
              img.draw_rectangle(max_blob) # rect
              img.draw_cross(max_blob[0]+max_blob[2]/2, max_blob[1]+max_blob[3]/2) # cx, cy
      
              pan_output=pan_pid.get_pid(pan_error,1)/2
              tilt_output=tilt_pid.get_pid(tilt_error,1)
              print("pan_output",pan_output)
              pan_servo.angle(pan_servo.angle()+pan_output)
              tilt_servo.angle(tilt_servo.angle()-tilt_output)
      

      0_1539162335846_-1c36b08410d3fb0c.jpg

      发布在 OpenMV Cam
      T
      txeg
    • RE: 报错 OSError:Image format is not supported!

      @kidswong999

      大佬 你再看看 是不是那四个问题啊

      发布在 OpenMV Cam
      T
      txeg
    • RE: 报错 OSError:Image format is not supported!

      @kidswong999

      你看下 它显示那一句话错了

      发布在 OpenMV Cam
      T
      txeg
    • RE: 报错 OSError:Image format is not supported!

      @kidswong999

      import sensor, image, time
      
      from pid import PID
      from pyb import Servo
      
      pan_servo=Servo(1)
      tilt_servo=Servo(2)
      
      red_threshold  = (13, 49, 18, 61, 6, 47)
      
      pan_pid = PID(p=0.07, i=0, imax=90) #脱机运行或者禁用图像传输,使用这个PID
      tilt_pid = PID(p=0.05, i=0, imax=90) #脱机运行或者禁用图像传输,使用这个PID
      #pan_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID
      #tilt_pid = PID(p=0.1, i=0, imax=90)#在线调试使用这个PID
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_contrast(1)
      sensor.set_gainceiling(16)
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(10) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      face_cascade = image.HaarCascade("frontalface", stages=25)
      
      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_features(face_cascade, threshold=0.75, scale=1.35)
          if blobs:
              max_blob = find_max(blobs)
              pan_error = max_blob[0]+max_blob[2]/2-img.width()/2
              tilt_error = max_blob[1]+max_blob[3]/2-img.height()/2
      
              print("pan_error: ", pan_error)
      
              img.draw_rectangle(max_blob) # rect
              img.draw_cross(max_blob[0]+max_blob[2]/2, max_blob[1]+max_blob[3]/2) # cx, cy
      
              pan_output=pan_pid.get_pid(pan_error,1)/2
              tilt_output=tilt_pid.get_pid(tilt_error,1)
              print("pan_output",pan_output)
              pan_servo.angle(pan_servo.angle()+pan_output)
              tilt_servo.angle(tilt_servo.angle()-tilt_output)
      

      0_1539160679217_-1c36b08410d3fb0c.jpg

      发布在 OpenMV Cam
      T
      txeg
    • RE: 报错 OSError:Image format is not supported!

      报个错 都保不上

      发布在 OpenMV Cam
      T
      txeg
    • 报错 OSError:Image format is not supported!

      发不了图片 可以加下QQ

      发布在 OpenMV Cam
      T
      txeg
    • 人脸跟随的算法有吗

      算法有的 可以跟一下

      发布在 OpenMV Cam
      T
      txeg