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    43sc

    @43sc

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    43sc 关注

    43sc 发布的帖子

    • RE: 模板匹配显示内存分配失败是怎么回事?

      问题解决了,就是模板的这个内存太大了,需要减小内存

      发布在 OpenMV Cam
      4
      43sc
    • 模板匹配显示内存分配失败是怎么回事?

      回复: [模# 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
      #
      # Template Matching Example - Normalized Cross Correlation (NCC)
      #
      # This example shows off how to use the NCC feature of your OpenMV Cam to match
      # image patches to parts of an image... expect for extremely controlled environments
      # NCC is not all to useful.
      #
      # WARNING: NCC supports needs to be reworked! As of right now this feature needs
      # a lot of work to be made into somethin useful. This script will remain to show
      # that the functionality exists, but, in its current state is inadequate.
      
      import time
      import sensor
      import image
      from image import SEARCH_EX
      
      # from image import SEARCH_DS
      
      # Reset sensor
      sensor.reset()
      
      # Set sensor settings
      sensor.set_contrast(1)
      sensor.set_gainceiling(16)
      # Max resolution for template matching with SEARCH_EX is QQVGA
      sensor.set_framesize(sensor.QQVGA)
      # You can set windowing to reduce the search image.
      # sensor.set_windowing(((640-80)//2, (480-60)//2, 80, 60))
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      # Load template.
      # Template should be a small (eg. 32x32 pixels) grayscale image.
      template = image.Image("4.pgm")
      
      clock = time.clock()
      
      # Run template matching
      while True:
          clock.tick()
          img = sensor.snapshot()
      
          # find_template(template, threshold, [roi, step, search])
          # ROI: The region of interest tuple (x, y, w, h).
          # Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster.
          # Search is either image.SEARCH_EX for exhaustive search or image.SEARCH_DS for diamond search
          #
          # Note1: ROI has to be smaller than the image and bigger than the template.
          # Note2: In diamond search, step and ROI are both ignored.
          r = img.find_template(
              template, 0.70, step=4, search=SEARCH_EX
          )  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r)
      
          print(clock.fps())
      

      板匹配显示内存分配失败是怎么回事?](/topic/7966/模板匹配显示内存分配失败是怎么回事)
      Traceback (most recent call last):
      File "", line 36, in
      MemoryError: memory allocation failed, allocating 12192799 bytes
      OpenMV v4.6.20; MicroPython v1.24.62; OPENMV4 with STM32H743
      Type "help()" for more information.

      0_1746847903942_微信图片_20250510113131.png 1_1746847966621_微信图片_20250510113237.png 0_1746847966620_微信图片_20250510113221.png

      发布在 OpenMV Cam
      4
      43sc
    • 我在edgeimpulse中上传的图片,为什么是数据丢失呢

      0_1746629920027_f2179674-183d-400a-8a51-79c69e228c3a-image.png

      发布在 星瞳AI视觉模组
      4
      43sc
    • RE: 我看之前的那个我openmv的P4引脚连usb转ttl串口模块的tx,P5连rx,为啥没有反应呢?

      @43sc 在 我看之前的那个我openmv的P4引脚连usb转ttl串口模块的tx,P5连rx,为啥没有反应呢? 中说:
      而且我的openmv那个灯没有亮,好像没有发送数据

      发布在 OpenMV Cam
      4
      43sc
    • 我看之前的那个我openmv的P4引脚连usb转ttl串口模块的tx,P5连rx,为啥没有反应呢?

      ![1_1745324708025_微信图片_20250422202405.jpg](正在上传 100%) ![0_1745324708024_微信图片_20250422202353.jpg](正在上传 100%)

      发布在 OpenMV Cam
      4
      43sc