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    3sq1

    @3sq1

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    3sq1 发布的帖子

    • RE: 为什么可以正常运行,但是灯不亮?(灯是好用的,是我的代码有什么问题吗)

      @kidswong999 没有反应诶

      发布在 OpenMV Cam
      3
      3sq1
    • RE: 为什么可以正常运行,但是灯不亮?(灯是好用的,是我的代码有什么问题吗)

      @kidswong999 请问要怎么调用啊?

      发布在 OpenMV Cam
      3
      3sq1
    • 为什么可以正常运行,但是灯不亮?(灯是好用的,是我的代码有什么问题吗)
      import sensor, image, time, fir, lcd
      from pid import PID
      from pyb import Servo
      from pyb import LED
      
      red_led   = LED(1)
      green_led = LED(2)
      ir_led    = LED(4)
      
      
      pan_servo=Servo(1)
      tilt_servo=Servo(2)
      pan_servo.calibration(500,2500,500)
      tilt_servo.calibration(500,2500,500)
      red_threshold  = (13, 49, 18, 61, 6, 47)
      pan_pid = PID(p=0.07, i=0, imax=90)
      tilt_pid = PID(p=0.05, i=0, imax=90)
      ALT_OVERLAY = False
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.HQVGA)
      sensor.skip_frames(time = 2000)
      sensor.set_auto_whitebal(False)
      fir.init(type=fir.FIR_AMG8833)
      lcd.init()
      extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)
      clock = time.clock()
      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()
          img = sensor.snapshot()
          faces = img.find_features(face_cascade, threshold=0.5, scale=1.25)
          if faces:
              face = find_max(faces)
              cx = int(face[0]+face[2]/2)
              cy = int(face[1]+face[3]/2)
              pan_error = cx-img.width()/2
              tilt_error = cy-img.height()/2
              print("pan_error: ", pan_error)
              img.draw_rectangle(face)
              img.draw_cross(cx, cy)
              pan_output=pan_pid.get_pid(pan_error,1)
              tilt_output=tilt_pid.get_pid(tilt_error,1)
              print("pan_output",pan_output)
              pan_servo.angle(int(pan_servo.angle()+pan_output))
              tilt_servo.angle(int(tilt_servo.angle()+tilt_output))
          ta, ir, to_min, to_max = fir.read_ir()
          if not ALT_OVERLAY:
              fir.draw_ir(img, ir)
          else:
              extra_fb.clear()
              fir.draw_ir(extra_fb, ir, alpha=256)
              img.blend(extra_fb, alpha=128)
          img.draw_string(8, 0, "Ta: %0.2f C" % ta, color = (255, 0, 0), mono_space = False)
          img.draw_string(8, 8, "To min: %0.2f C" % to_min, color = (255, 0, 0), mono_space = False)
          img.draw_string(8, 16, "To max: %0.2f C"% to_max, color = (255, 0, 0), mono_space = False)
          lcd.display(img)
          img.compress(quality=90)
          
          def check(to_max):
              if to_max>37.3 or to_max<36.0:
                 LED(1).on()
              elif 36.0<=tem<=37.3:
                 LED(2).on()
          
          print(clock.fps())
      
      发布在 OpenMV Cam
      3
      3sq1
    • RE: 舵机接在扩展板上,运行程序没有反应是怎么回事?

      @kidswong999 我用充电宝代替外接电源也不动是什么原因呢?

      发布在 OpenMV Cam
      3
      3sq1
    • 舵机接在扩展板上,运行程序没有反应是怎么回事?

      没有外接电池,用的充电宝供电是不是不行?

      发布在 OpenMV Cam
      3
      3sq1
    • 为什么识别到人脸的时候没有显示框?测量温度偏低怎么解决?
      import sensor, image, time, fir, lcd
      
      from pid import PID
      from pyb import Servo
      
      pan_servo=Servo(1)
      tilt_servo=Servo(2)
      
      pan_servo.calibration(500,2500,500)
      tilt_servo.calibration(500,2500,500)
      
      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
      
      ALT_OVERLAY = False # 设置为True分配第二个ir图像
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA2) # use QQVGA for speed.
      
      sensor.skip_frames(time = 2000) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      
      fir.init(type=fir.FIR_AMG8833)
      
      # 初始化lcd
      lcd.init()
      
      # 为更流畅的视频分配另一个帧缓冲。
      extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)
      
      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.
      
          faces = img.find_features(face_cascade, threshold=0.5, scale=1.25)
          if faces:
              face = find_max(faces)
              cx = int(face[0]+face[2]/2)
              cy = int(face[1]+face[3]/2)
              pan_error = cx-img.width()/2
              tilt_error = cy-img.height()/2
      
              print("pan_error: ", pan_error)
      
              img.draw_rectangle(face) # rect
              img.draw_cross(cx, cy) # cx, cy
      
              pan_output=pan_pid.get_pid(pan_error,1)
              tilt_output=tilt_pid.get_pid(tilt_error,1)
              print("pan_output",pan_output)
              pan_servo.angle(int(pan_servo.angle()+pan_output))
              tilt_servo.angle(int(tilt_servo.angle()+tilt_output))
              
          ta, ir, to_min, to_max = fir.read_ir()
      
          if not ALT_OVERLAY:
              # 缩放图像并使用framebuffer进行绑定
              fir.draw_ir(img, ir)
          else:
              # 创建一个副图像,然后混合到帧缓冲区中。
              extra_fb.clear()
              fir.draw_ir(extra_fb, ir, alpha=256)
              img.blend(extra_fb, alpha=128)
      
          # 绘制环境温度、最小温度和最大温度。
          img.draw_string(8, 0, "Ta: %0.2f C" % ta, color = (255, 0, 0), mono_space = False)
          img.draw_string(8, 8, "To min: %0.2f C" % to_min, color = (255, 0, 0), mono_space = False)
          img.draw_string(8, 16, "To max: %0.2f C"% to_max, color = (255, 0, 0), mono_space = False)
      
          lcd.display(img)
          # Force high quality streaming...
          # 强制高质量流…
          img.compress(quality=90)
      
          # 打印FPS
          print(clock.fps())!
      
      

      0_1677914354919_QQ图片20230304151347.png

      发布在 OpenMV Cam
      3
      3sq1