• 数显千分表测量泵箱步进精度
• 使用数显千分表矫正泵箱进程

【合并采集数据图片】

采集程序

#!/usr/local/bin/python
# -*- coding: gbk -*-
#============================================================
# TEST1.PY                     -- by Dr. ZhuoQing 2026-06-08
#
# Note:
#============================================================

from headm import *
import serial
from _ast import Or
from serial.serialutil import SerialException
import serial
from _ast import Or
from serial.serialutil import SerialException

#------------------------------------------------------------



#------------------------------------------------------------
cport = serial.Serial()
cport.baudrate = 115200
cport.timeout = 0.05
try:
    cport.port = 'COM4'
except:
    printf('Set cport port COM4 error. ')

try:
    cport.open()
except serial.serialutil.SerialException:
    printf('Open cport port COM4 error.')
else:
    printf('Open cport port COM4 Ok.')
#------------------------------------------------------------

imgdir = r'd:\temp\imgdata'

for i in range(500):
    cport.write(b"m u 1\r")
    time.sleep(1)
    fname = os.path.join(imgdir, '%d.jpg'%i)
    tspsavecutimage(fname)

    printff(i)

#------------------------------------------------------------
printf("\a")



#------------------------------------------------------------
#        END OF FILE : TEST1.PY
#============================================================

合并算法

1.0440, 1.0435, 1.0525, 1.0670, 1.0840, 1.1050, 1.1220, 1.1420, 1.1620, 1.1670, 1.2030, 1.2220, 1.2420, 1.2620, 1.2805, 1.3025, 1.3215, 1.3405, 1.3610, 1.3810, 1.4025, 1.4215, 1.4420, 1.4625, 1.4805, 1.5025, 1.5205, 1.5395, 1.5600, 1.5785, 1.5985, 1.6180, 1.6365, 1.6570, 1.6760, 1.6950, 1.7145, 1.7330, 1.7530, 1.7720, 1.7910, 1.8110, 1.8295, 1.8495, 1.8690, 1.8885, 1.9085, 1.9275, 1.9485, 1.9670, 1.9865, 2.0070, 2.0250, 2.0465, 2.0645, 2.0845, 2.1050, 2.1240, 2.1455, 2.1650, 2.1855, 2.2065, 2.2260, 2.2480, 2.2680, 2.2885, 2.3085, 2.3280, 2.3510, 2.3710, 2.3920, 2.4130, 2.4330, 2.4530, 2.4735, 2.4930, 2.5135, 2.5330, 2.5535, 2.5730, 2.5935, 2.6135, 2.6335, 2.6530, 2.6730, 2.6930, 2.7130, 2.7325, 2.7520, 2.7720, 2.7920, 2.8110, 2.8315, 2.8505, 2.8715, 2.8890, 2.9095, 2.9290, 2.9490, 2.9690, 3.0885, 3.0805, 3.0275, 3.0465, 3.0665, 3.0865, 3.1065, 3.1260, 3.1465, 3.1650, 3.1860, 3.2050, 3.2260, 3.2440, 3.2605, 3.2740, 3.2875, 3.3005, 3.3170, 3.3330, 3.3555, 3.3820, 3.4040, 3.4255, 3.4550, 3.4795, 3.4980, 3.5180, 3.5370, 3.5560, 3.5770, 3.5960, 3.6165, 3.6360, 3.6545, 3.6755, 3.6940, 3.7155, 3.7345, 3.7540, 3.7750, 3.7945, 3.8140, 3.8340, 3.8540, 3.8745, 3.8945, 3.9145, 3.9355, 3.9560, 3.9755, 3.9955, 4.0160, 4.0360, 4.0575, 4.0770, 4.0980, 4.1190, 4.1385, 4.1600, 4.1805, 4.2100, 4.2220, 4.2420, 4.2635, 4.2840, 4.3045, 4.3250, 4.3450, 4.3660, 4.3860, 4.4060, 4.4265, 4.4460, 4.4670, 4.4865, 4.5065, 4.5260, 4.5445, 4.5645, 4.5850, 4.6045, 4.6255, 4.6440, 4.6635, 4.6825, 4.7010, 4.7200, 4.7390, 4.7590, 4.7780, 4.7970, 4.8155, 4.8345, 4.8525, 4.8725, 4.8910, 4.9100, 4.9290, 4.9480, 4.9675, 4.9855, 5.0060, 5.0245, 5.0435, 5.0640, 5.0820, 5.1030, 5.1210, 5.1420, 5.1615, 5.1810, 5.2015, 5.2205, 5.2420, 5.2610, 5.2810, 5.3015, 5.3210, 5.3420, 5.3615, 5.3805, 5.4015, 5.4210, 5.4405, 5.4610, 5.4805, 5.5010, 5.5205, 5.5390, 5.5610, 5.5800, 5.6000, 5.6205, 5.6390, 5.6610, 5.6790, 5.6990, 5.7185, 5.7310, 5.7585, 5.7765, 5.7975, 5.8165, 5.8355, 5.8575, 5.8760, 5.8960, 5.9160, 5.9345, 5.9565, 5.9745, 5.9940, 6.0140, 6.0325, 6.0545, 6.0725, 6.0925, 6.1135, 6.1320, 6.1545, 6.1735, 6.1935, 6.2155, 6.2340, 6.2555, 6.2745, 6.2945, 6.3160, 6.3345, 6.3555, 6.3745, 6.3945, 6.4155, 6.4345, 6.4555, 6.4750, 6.4935, 6.5140, 6.5330, 6.5525, 6.5725, 6.5915, 6.6110, 6.6300, 6.6495, 6.6690, 6.6880, 6.7075, 6.7265, 6.7460, 6.7660, 6.7840, 6.8045, 6.8235, 6.8430, 6.8625, 6.8815, 6.9020, 6.9215, 6.9415, 6.9620, 6.9815, 7.0020, 7.0220, 7.0415, 7.0625, 7.0825, 7.1040, 7.1240, 7.1450, 7.1660, 7.1860, 7.2075, 7.2285, 7.2485, 7.2685, 7.2880, 7.3110, 7.3310, 7.3510, 7.3730, 7.3930, 7.4130, 7.4335, 7.4545, 7.4725, 7.4935, 7.5130, 7.5320, 7.5530, 7.5710, 7.5920, 7.6105, 7.6310, 7.6505, 7.6695, 7.6900, 7.7090, 7.7290, 7.7495, 7.7680, 7.7880, 7.8075, 7.8270, 7.8460, 7.8660, 7.8845, 7.9035, 7.9230, 7.9415, 7.9625, 7.9815, 8.0005, 8.0205, 8.0390, 8.0590, 8.0790, 8.0980, 8.1180, 8.1375, 8.1575, 8.1770, 8.1965, 8.2160, 8.2350, 8.2535, 8.2705, 8.2860, 8.2990, 8.3150, 8.3300, 8.3465, 8.3695, 8.3985, 8.4190, 8.4425, 8.4685, 8.4875, 8.5055, 8.5265, 8.5455, 8.5660, 8.5865, 8.6055, 8.6270, 8.6465, 8.6670, 8.6870, 8.7010, 8.7280, 8.7475, 8.7680, 8.7885, 8.8080, 8.8285, 8.8480, 8.8685, 8.8890, 8.9095, 8.9295, 8.9500, 8.9710, 8.9905, 9.0115, 9.0310, 9.0515, 9.0720, 9.0915, 9.1130, 9.1330, 9.1540, 9.1740, 9.1930, 9.2155, 9.2340, 9.2540, 9.2750, 9.2950, 9.3160, 9.3365, 9.3560, 9.3770, 9.3975, 9.4180, 9.4380, 9.4575, 9.4775, 9.4980, 9.5100, 9.5370, 9.5550, 9.5755, 9.5960, 9.6155, 9.6345, 9.6535, 9.6725, 9.6905, 9.7085, 9.7275, 9.7465, 9.7660, 9.7845, 9.8030, 9.8225, 9.8405, 9.8600, 9.8795, 9.8990, 9.9180, 9.9360, 9.9560, 9.9750, 9.9935, 10.0135, 10.0320, 10.0520, 10.0715, 10.0910, 10.1115, 10.1300, 10.1520, 10.1720, 10.1915, 10.2125, 10.2315, 10.2530, 10.2730, 10.2925, 10.3140, 10.3320, 10.3535, 10.3720, 10.3915, 10.4125, 10.4310, 10.4520, 10.4725, 10.4915, 10.5135, 10.5315, 10.5515, 10.5735, 10.5915, 10.6140, 10.6325, 10.6520, 10.6720, 10.6905, 10.7110, 10.7290, 10.7480, 10.7685, 10.7850, 10.8075, 10.8250, 10.8440, 10.8625, 10.8815

识别图片中七段数码管数字， 以10开头的共有六位数字，其他都是五位数字。所有数码管按照（整数.四位小数）格式整理。总共10列，50行，将识别的500个数字形成文本便于拷贝。

#!/usr/local/bin/python
# -*- coding: gbk -*-
#============================================================
# TEST3.PY                     -- by Dr. ZhuoQing 2026-06-08
#
# Note:
#============================================================

from headm import *

strid = 8

d = [float(s) for s in tspgetdopstring(strid).split(',')]
plt.plot(d)

plt.xlabel("N", color="steelblue", fontsize=24)
plt.ylabel("Data", color="steelblue", fontsize=24)
plt.grid(True, which='both', linestyle='--', alpha=0.7)
plt.tight_layout()
plt.show()





#------------------------------------------------------------
#        END OF FILE : TEST3.PY
#============================================================

※ 总  结 ※

#!/usr/local/bin/python
# -*- coding: gbk -*-
#============================================================
# IMGALL.PY                     -- by Dr. ZhuoQing 2026-06-08
#
# Note:
#============================================================

from headm import *
from PIL import Image


#------------------------------------------------------------
imgdir = r'd:\temp\imgdata'

if len(sys.argv) > 1:
    imgdir = r'd:\temp\%s'%sys.argv[1]


#------------------------------------------------------------
fdim = os.listdir(imgdir)
fnum = [int(fn.split('.')[0]) for fn in fdim]
fnum = sorted(fnum)

fext = fdim[0].split('.')[-1]

#------------------------------------------------------------

f0name = os.path.join(imgdir, '%d.%s'%(0, fext))
f0im = Image.open(f0name)
printf(f0im.size)

blockspace = 20
imgnum = len(fnum)
imagecol = 10
imagerow = (imgnum+imagecol-1)//imagecol

imgallwidth = f0im.size[0]*imagecol + blockspace*(imagecol-1)
imgallheight = f0im.size[1]*imagerow + blockspace*(imagerow-1)

printf(imgallwidth, imgallheight)

#------------------------------------------------------------

imgall = Image.new(mode='RGB', size=(imgallwidth,imgallheight), color=(255,255,255))

for i in range(imagerow):
    for j in range(imagecol):
        imgid = i * imagecol + j
        if imgid >= imgnum: break

        fname = os.path.join(imgdir, '%d.%s'%(imgid, fext))
        fim = Image.open(fname)
        x = j * (f0im.size[0]+blockspace)
        y = i * (f0im.size[1]+blockspace)
        imgall.paste(fim, (x, y))



#------------------------------------------------------------

outfile = r'd:\temp\imgall.jpg'
if len(sys.argv) > 2:
    outfile = r'd:\temp\%s.jpg'%sys.argv[2]
imgall.save(outfile)


#------------------------------------------------------------
printf("\a")


#------------------------------------------------------------
#        END OF FILE : IMGALL.PY
#============================================================