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    ltuc

    @ltuc

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    • 初始化高电平引脚,想让检测到特点颜色时能将引脚变成低电平,看看是代码问题吗?
      import sensor
      import time
      import math
      from machine import Pin
      from pyb import LED
      
      # 初始化LED灯对应的引脚,初始化为高电平(熄灭状态)
      red_led = Pin('P0', Pin.OUT, value=1)
      green_led = Pin('P1', Pin.OUT, value=1)
      blue_led = Pin('P2', Pin.OUT, value=1)
      # 初始化用于发白光的LED
      red_led_rgb = LED(1)  # 红色LED
      green_led_rgb = LED(2)  # 绿色LED
      blue_led_rgb = LED(3)  # 蓝色LED
      
      # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
      # The below thresholds track in general red/green things. You may wish to tune them...
      thresholds = [
          (30, 100, 15, 127, 15, 127),  # generic_red_thresholds
          (30, 100, -64, -8, -32, 32),  # generic_green_thresholds
          (0, 15, 0, 40, -80, -20),
      ]  # generic_blue_thresholds
      # You may pass up to 16 thresholds above. However, it's not really possible to segment any
      # scene with 16 thresholds before color thresholds start to overlap heavily.
      
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time=2000)
      sensor.set_auto_gain(False)  # must be turned off for color tracking
      sensor.set_auto_whitebal(False)  # must be turned off for color tracking
      clock = time.clock()
      
      # 同时点亮红、绿、蓝三色LED以发出白光并保持常亮
      red_led_rgb.on()
      green_led_rgb.on()
      blue_led_rgb.on()
      
      # 每个像素对应的实际面积(单位:平方厘米),需要根据实际情况调整
      pixel_area = 0.01
      # 设定的面积阈值(单位:平方厘米)
      area_threshold_cm2 = 25
      
      # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
      # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
      # camera resolution. Don't set "merge=True" because that will merge blobs which we don't want here.
      
      while True:
          clock.tick()
          # 先关闭红、绿、蓝三个用于颜色指示的LED灯,设置为高电平
          red_led.value(1)
          green_led.value(1)
          blue_led.value(1)
      
          img = sensor.snapshot()
          # 获取图像的宽度和高度
          width = img.width()
          height = img.height()
          # 定义中间区域的大小(这里设置为图像的中心 50%)
          center_x = width // 4
          center_y = height // 4
          center_width = width // 2
          center_height = height // 2
          center_region = (center_x, center_y, center_width, center_height)
      
          for blob in img.find_blobs(thresholds, pixels_threshold=200, roi=center_region):
              # 计算色块的实际面积(单位:平方厘米)
              blob_area_cm2 = blob.pixels() * pixel_area
      
              # 检查色块面积是否达到设定阈值
              if blob_area_cm2 >= area_threshold_cm2:
                  # 这些值依赖于色块不是圆形,否则它们会不稳定。
                  img.draw_rectangle(blob.rect())
                  img.draw_cross(blob.cx(), blob.cy())
                  # 注意 - 色块旋转角度仅在0 - 180度之间。
                  print(blob.code())
      
                  # 根据识别到的颜色点亮对应的LED灯,设置为低电平
                  if blob.code() == 1:  # 红色
                      red_led.value(0)
                  elif blob.code() == 2:  # 绿色
                      green_led.value(0)
                  elif blob.code() == 4:  # 蓝色
                      blue_led.value(0)
      
          # print(clock.fps())
      

      麻烦大家帮我看下代码,我初始化高电平引脚,然后检测到对应颜色想将引脚变为低电平,但是没成功,是我代码原因,还是硬件原因呢,求指点了。

      发布在 OpenMV Cam
      L
      ltuc