openmv3.0.0可以改变帧率么，。。遇到的问题是，识别数码管数字，数码管有频闪，导致识别结果错误。

[13811904117]

# 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 enviorments
# 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 reamin to show
# that the functionality exists, but, in its current state is inadequate.

import time, sensor, image
from image import SEARCH_EX, 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.
template0 = image.Image("/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")

clock = time.clock()

# Run template matching
while (True):
    clock.tick()
    img = sensor.snapshot()
    r0 = img.find_template(template0, 0.7, roi=(50,20,60,80), step=4, search=SEARCH_EX)
    r1 = img.find_template(template1, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    r2 = img.find_template(template2, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    r3 = img.find_template(template3, 0.7, roi=(50,20,60,80), step=4, search=SEARCH_EX)
    r4 = img.find_template(template4, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    r5 = img.find_template(template5, 0.7, roi=(50,20,60,80), step=4, search=SEARCH_EX)
    r6 = img.find_template(template6, 0.7, roi=(50,20,60,80), step=4, search=SEARCH_EX)
    r7 = img.find_template(template7, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    r8 = img.find_template(template8, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    r9 = img.find_template(template9, 0.7, roi=(50,10,70,100), step=4, search=SEARCH_EX)
    #img.draw_rectangle(ROI)
    if r0:
        a=0
    elif r1:
        a=1
    elif r2:
        a=2
    elif r3:
        a=3
    elif r4:
        a=4
    elif r5:
        a=5
    elif r6:
        a=6
    elif r7:
        a=7
    elif r8:
        a=8
    elif r9:
        a=9
    else:
        a=1111111

    print(a)
![0_1534745779456_1.png](https://fcdn.singtown.com/93cb70e4-ed14-47bd-ab9e-34c3cf6a2828.png) 

[kidswong999]

这不是OpenMV 帧率的问题。

OpenMV 的快门时间是远远小于你的数码管”轮循LED”的。(摄像头都这样的，如果快门时间能等数码管，那果冻效果太严重了)

尽量从数码管上想办法。不要用片选-轮循的方法显示多位数码管。多用几个io，独立控制每个数码管。

[2clp]

你好，如果数码管的频率改不了，针对openmv有什么方法或者思路吗？

[kidswong999]

改OpenMV的曝光时间。