4. 模板匹配显示内存分配失败是怎么回事？
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    • 模板匹配显示内存分配失败是怎么回事？

    • 4

      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

      0
    • 4

      问题解决了，就是模板的这个内存太大了，需要减小内存

      0