焊接好了，还是不行

@kidswong999 怎么焊接，焊接后保护壳怎么装上去呢，视频里没焊接把

win10，显示计算机无法识别该设备

拓展版容易脱落，连接了无法识别

比如识别数字，先通过程序对图片中数字进行滤波等处理，得到的结果图片中的数字作为模板，进行模板匹配或者用来识别从而提高精度

@kidswong999 程序只能识别第一位的0，是逻辑错误吗

@kidswong999

import sensor, image, time
from image import SEARCH_EX, SEARCH_DS

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()



templates = ["/0.pgm", "/1.pgm", ] #保存多个模板

while(True):
    clock.tick()
    img = sensor.snapshot()
    img.draw_rectangle((5,50,25,35),color = (0, 0, 0))
    img.draw_rectangle((30,50,25,35),color = (0, 0, 0))
    img.draw_rectangle((55,50,25,35),color = (0, 0, 0))
    img.draw_rectangle((80,50,25,35),color = (0, 0, 0))
    img.draw_rectangle((105,50,25,35),color = (0, 0, 0))
    a=0  #依次对每个共5个roi区域进行模板匹配，得出结果
    if a==0:
        for t in templates:
           template = image.Image(t)
            #对每个模板遍历进行模板匹配
           r = img.find_template(template, 0.70, step=4, search=SEARCH_EX, roi=(5, 50, 25, 35))
           if r:
                img.draw_rectangle(r)
                print(t)
                a+=1
    elif a==1:
        for t in templates:
           template = image.Image(t)
           r = img.find_template(template, 0.70, step=4, search=SEARCH_EX, roi=(30, 50, 25, 35))
           if r:
              img.draw_rectangle(r)
              print(t)
              a+=1
    elif a==2:
         for t in templates:
           template = image.Image(t)
           r = img.find_template(template, 0.70, step=4, search=SEARCH_EX, roi=(55, 50, 25, 35))
           if r:
                img.draw_rectangle(r)
                print(t)
                a+=1
    elif a==3:
         for t in templates:
             template = image.Image(t)
             r = img.find_template(template, 0.70, step=4, search=SEARCH_EX, roi=(80, 50, 25, 35))
             if r:
                 img.draw_rectangle(r)
                 print(t)
                 a+=1
    else:
         for t in templates:
             template = image.Image(t)
             r = img.find_template(template, 0.70, step=4, search=SEARCH_EX, roi=(105, 50, 25, 35))
             if r:
                img.draw_rectangle(r)
                print(t)
                a=0

import sensor, image, time
from image import SEARCH_EX, SEARCH_DS

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()

img.draw_rectangle((5,50,25,35),color = (0, 0, 0))
img.draw_rectangle((30,50,25,35),color = (0, 0, 0))
img.draw_rectangle((55,50,25,35),color = (0, 0, 0))
img.draw_rectangle((80,50,25,35),color = (0, 0, 0))
img.draw_rectangle((105,50,25,35),color = (0, 0, 0))

templates = ["/0.pgm", "/1.pgm", ] #保存多个模板

while(True):
clock.tick()
img = sensor.snapshot()
a=0 #依次对每个共5个roi区域进行模板匹配，得出结果
if a==0:
for t in templates:
template = image.Image(t)
#对每个模板遍历进行模板匹配
r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) , roi=(5, 50, 25, 35))
if r:
img.draw_rectangle(r, color=0)
print(t)
a+=1
elif a==1:
for t in templates:
template = image.Image(t)
r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) , roi=(30, 50, 25, 35))
if r:
img.draw_rectangle(r, color=0)
print(t)
a+=1
elif a==2:
for t in templates:
template = image.Image(t)
r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) , roi=(55, 50, 25, 35))
if r:
img.draw_rectangle(r, color=0)
print(t)
a+=1
elif a==3:
for t in templates:
template = image.Image(t)
r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) , roi=(80, 50, 25, 35))
if r:
img.draw_rectangle(r, color=0)
print(t)
a+=1
else a==4:
for t in templates:
template = image.Image(t)
r = img.find_template(template, 0.70, step=4, search=SEARCH_EX) , roi=(105, 50, 25, 35))
if r:
img.draw_rectangle(r, color=0)
print(t)
a=0
#print(clock.fps())

如图，运用模板匹配算法，识别水表内上方5个数字，并输出读数，如图则输出00003或3.
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