@v52x 在 我用的模板图片匹配实例代码严格按照视频教程操作但是一直报错不能打开路径是啥原因呀使用openmv-h7 plus r3 中说：

https://fcdn.singtown.com/65dc75a8-ef29-4f6d-8cd3-d9f27b19a408.png

用的是这个SD卡

请在这里粘贴代码
```# 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.
template1=image.Image("/1.pgm")
template2=image.Image("/2.pgm")
template3=image.Image("/3.pgm")
template4=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.
    r1 = img.find_template(
        template1, 0.70, step=4, search=SEARCH_EX
    )  # , roi=(10, 0, 60, 60))
    if r1:
        img.draw_rectangle(r1)
    r2= img.find_template(
         template2, 0.70, step=4, search=SEARCH_EX
    )  # , roi=(10, 0, 60, 60))
    if r2:
        img.draw_rectangle(r2)
    r3= img.find_template(
        template3, 0.70, step=4, search=SEARCH_EX
    )  # , roi=(10, 0, 60, 60))
    if r3:
        img.draw_rectangle(r3)
    r4= img.find_template(
            template4, 0.70, step=4, search=SEARCH_EX
    )  # , roi=(10, 0, 60, 60))
    if r4:
        img.draw_rectangle(r4)

    
    print(clock.fps())
![0_1753451679998_屏幕截图 2025-07-25 215050.png](https://fcdn.singtown.com/335b4b6c-c396-415f-86b6-76b4f58d238e.png) 
![0_1753451698922_屏幕截图 2025-07-25 215106.png](https://fcdn.singtown.com/65dc75a8-ef29-4f6d-8cd3-d9f27b19a408.png) ![0_1753451724377_C9CD0FEDDF16106DCE2AE100E86306A9.jpg](https://fcdn.singtown.com/1200ca8e-1eb7-4247-ba50-ea283e3c787c.jpg)