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    ft6h

    @ft6h

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    ft6h 发布的帖子

    • RE: 请问新代码颜色识别加lcd显示屏的代码这么改?

      @vokc 好像没有用,和你的情况一样,都是找不到文件

      发布在 OpenMV Cam
      F
      ft6h
    • RE: 请问新代码颜色识别加lcd显示屏的代码这么改?

      我更新了openmv最新的IDE之后LCD显示屏依旧是白屏,求大佬解答新代码的LCD如何驱动?

      发布在 OpenMV Cam
      F
      ft6h
    • 为什么按照视频教程驱动LCD显示屏之后依旧是白屏,无法正常显示,openmv的IDE也是最新版本的?
      
      # This work is licensed under the MIT license.
      # Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
      # https://github.com/openmv/openmv/blob/master/LICENSE
      #
      # Single Color RGB565 Blob Tracking Example
      #
      # This example shows off single color RGB565 tracking using the OpenMV Cam.
      
      import sensor
      import time
      import math,lcd
      
      threshold_index = 0  # 0 for red, 1 for green, 2 for blue
      
      # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
      # The below thresholds track in general red/green/blue 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, 30, 0, 64, -128, 0),
      ]  # generic_blue_thresholds
      
      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()
      lcd.init()# Initialize the lcd screen.
      
      # 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. "merge=True" merges all overlapping blobs in the image.
      
      while True:
          clock.tick()
          img = sensor.snapshot()
          for blob in img.find_blobs(
              [thresholds[threshold_index]],
              pixels_threshold=200,
              area_threshold=200,
              merge=True,
          ):
              # These values depend on the blob not being circular - otherwise they will be shaky.
              if blob.elongation() > 0.5:
                  img.draw_edges(blob.min_corners(), color=(255, 0, 0))
                  img.draw_line(blob.major_axis_line(), color=(0, 255, 0))
                  img.draw_line(blob.minor_axis_line(), color=(0, 0, 255))
              # These values are stable all the time.
              img.draw_rectangle(blob.rect())
              img.draw_cross(blob.cx(), blob.cy())
              lcd.display(img)  # Take a picture and display the image.
              # Note - the blob rotation is unique to 0-180 only.
              img.draw_keypoints(
                  [(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20
              )
          print(clock.fps())
      ![0_1740573595055_1.png](正在上传 100%) 
      
      发布在 OpenMV Cam
      F
      ft6h