@kidswong999 我如果想同时识别出来多个数字应该怎么解决呢

放进去了还是显示could not find the file

#
# 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.
templates=["/1.pgm","/2.pgm","/3.pgm","/4.pgm","/5.pgm","/6.pgm","/7.pgm","/8.pgm","/9.pgm","/0.pgm"]

template1 = image.Image("/1.pgm")
template2 = image.Image("/2.pgm")
template3 = image.Image("/3.pgm")
template4 = image.Image("/4.pgm")
template5 = image.Image("/5.pgm")
template6 = image.Image("/6.pgm")
template7 = image.Image("/7.pgm")
template8 = image.Image("/8.pgm")
template9 = image.Image("/9.pgm")
template0 = image.Image("/0.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(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r1)

    r2 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r2)

    r3 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r3)

    r4 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r4)

    r5 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r5)

    r6 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r6)

    r7 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r7)

    r8 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r8)

    r9 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r9)

    r0 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
    if r:
        img.draw_rectangle(r0)

        print(clock.fps())

请在这里粘贴代码