在最终成功安装它的依赖项之后，我想训练 OpenALPR 的神经网络。我现在需要的只是执行train.py，根据我关注的本页底部的自述文件，但是train.py会提示一个持续错误。
当我键入python train.py并插入两个字母的国家/地区代码进行训练时，我仍然收到错误消息：
Processing: ./br/input/lbr.brazil.exp0.box
Executing: /home/sedento/copiaDeUsrBin -l eng ./br/input/lbr.brazil.exp0.tif lbr.brazil.exp0 nobatch box.train.stderr
sh: 1: /home/sedento/copiaDeUsrBin: Permission denied
train.py 请求访问Tesseract bin，我相信它在我的bin文件夹中（几个月后不确定）。所以我复制了一个名为copiaDeUsrBin的bin并在其中使用。错误仍然存在，我在copiaDeUsrBin内的所有链接上都使用了。我失去了能力，错误仍然存在。chmod -R 777chmod 777sudo
下面的“额外信息”中还有其他错误，我相信它们可能是由这个引起的。有谁知道如何解决权限错误？
谢谢
额外信息：
目前，当我输入时sudo，它会提示
sudo: /etc/sudoers is world writable
sudo: no valid sudoers sources found, quitting
sudo: unable to initialize policy plugin
但我仍然可以使用ls不同于此处的命令。
完整的train.py执行结果如下：
Two-Letter Country Code to Train: br
Processing: ./br/input/lbr.brazil.exp0.box
Executing: /home/sedento/copiaDeUsrBin -l eng ./br/input/lbr.brazil.exp0.tif lbr.brazil.exp0 nobatch box.train.stderr
sh: 1: /home/sedento/copiaDeUsrBin: Permission denied
mv: cannot stat './lbr.brazil.exp0.tr': No such file or directory
mv: cannot stat './lbr.brazil.exp0.txt': No such file or directory
Extracting unicharset from box file ./br/input/lbr.brazil.exp0.box
Other case A of a is not in unicharset
Other case B of b is not in unicharset
Other case C of c is not in unicharset
Other case D of d is not in unicharset
Other case E of e is not in unicharset
Other case F of f is not in unicharset
Other case G of g is not in unicharset
Other case H of h is not in unicharset
Other case I of i is not in unicharset
Other case J of j is not in unicharset
Other case K of k is not in unicharset
Other case L of l is not in unicharset
Other case M of m is not in unicharset
Other case N of n is not in unicharset
Other case O of o is not in unicharset
Other case P of p is not in unicharset
Other case Q of q is not in unicharset
Other case R of r is not in unicharset
Other case S of s is not in unicharset
Other case T of t is not in unicharset
Other case U of u is not in unicharset
Other case V of v is not in unicharset
Other case W of w is not in unicharset
Other case X of x is not in unicharset
Other case Y of y is not in unicharset
Other case Z of z is not in unicharset
Wrote unicharset file unicharset
Executing: /home/sedento/tesseract-ocr/training/mftraining -F ./tmp/font_properties -U unicharset -O ./tmp/lbr.unicharset ./tmp/*.tr
Warning: No shape table file present: shapetable
Reading ./tmp/*.tr ...
Error: Unable to open ./tmp/*.tr!
"Fatal error encountered!" == NULL:Error:Assert failed:in file globaloc.cpp, line 75
Segmentation fault (core dumped)
mv: cannot stat './tmp/lbr.unicharset': No such file or directory
cp: cannot stat './br/input/unicharambigs': No such file or directory
Reading ./tmp/*.tr ...
Error: Unable to open ./tmp/*.tr!
"Fatal error encountered!" == NULL:Error:Assert failed:in file globaloc.cpp, line 75
Segmentation fault (core dumped)
mv: cannot stat './shapetable': No such file or directory
mv: cannot stat './pffmtable': No such file or directory
mv: cannot stat './inttemp': No such file or directory
mv: cannot stat './normproto': No such file or directory
Combining tessdata files
Error: traineddata file must contain at least (a unicharset fileand inttemp) OR an lstm file.
Error combining tessdata files into lbr.traineddata
Version string:4.00.00alpha
23:version:size=12, offset=192
mv: cannot stat './lbr.unicharset': No such file or directory
mv: cannot stat './lbr.shapetable': No such file or directory
mv: cannot stat './lbr.pffmtable': No such file or directory
mv: cannot stat './lbr.inttemp': No such file or directory
mv: cannot stat './lbr.normproto': No such file or directory
mv: cannot stat './lbr.unicharambigs': No such file or directory
我已经安装了 Opencv、Leptonica 和 Tesseract（OpenALPR 的依赖项），但我不明白如何将它们全部集成。Git 的 OpenALPR 编译说明有过时或损坏的链接，所以正如我所说，我正在关注本页底部的自述文件，以及每个依赖项（Tesseract、Leptonica 和 OpenCV）的详细教程。
（附加信息第 2 部分） - 代码 train.py：
#!/usr/bin/python
import os
import glob
import sys
TESSERACT_DIR='/home/sedento/tesseract-ocr'
os.environ["TESSDATA_PREFIX"] = TESSERACT_DIR
#os.system("export TESSDATA_PREFIX=" + TESSERACT_DIR)
TESSERACT_BIN='/usr/bin'
TESSERACT_TRAINDIR= TESSERACT_DIR + '/training'
country = raw_input("Two-Letter Country Code to Train: ").lower()
LANGUAGE_NAME='l' + country
box_files = glob.glob('./' + country + '/input/*.box')
if not box_files:
print "Cannot find input files"
sys.exit(1)
os.system("rm ./tmp/*")
font_properties_file = open('./tmp/font_properties','w')
for box_file in box_files:
print "Processing: " + box_file
file_without_dir = os.path.split(box_file)[1]
file_without_ext = os.path.splitext(file_without_dir)[0]
input_dir = os.path.dirname(box_file)
tif_file = input_dir + '/' + file_without_ext + ".tif"
train_cmd = "%s -l eng %s %s nobatch box.train.stderr" % (TESSERACT_BIN, tif_file, file_without_ext)
print "Executing: " + train_cmd
os.system(train_cmd)
os.system("mv ./" + file_without_ext + ".tr ./tmp/" + file_without_ext + ".tr")
os.system("mv ./" + file_without_ext + ".txt ./tmp/" + file_without_ext + ".txt")
font_name=file_without_dir.split('.')[1]
font_properties_file.write(font_name + ' 0 0 1 0 0\n')
font_properties_file.close()
os.system(TESSERACT_TRAINDIR + "/unicharset_extractor ./" + country + "/input/*.box")
#os.system('mv ./unicharset ./" + country + "/input/" + LANGUAGE_NAME + ".unicharset')
# Shape clustering should currently only be used for the "indic" languages
#train_cmd = TESSERACT_TRAINDIR + '/shapeclustering -F ./' + country + '/input/font_properties -U unicharset ./' + country + '/input/*.tr'
#print "Executing: " + train_cmd
#os.system(train_cmd)
train_cmd = TESSERACT_TRAINDIR + '/mftraining -F ./tmp/font_properties -U unicharset -O ./tmp/' + LANGUAGE_NAME + '.unicharset ./tmp/*.tr'
print "Executing: " + train_cmd
os.system(train_cmd)
os.system("rm ./unicharset")
os.system("mv ./tmp/" + LANGUAGE_NAME + ".unicharset ./")
os.system("cp ./" + country + "/input/unicharambigs ./" + LANGUAGE_NAME + ".unicharambigs")
os.system(TESSERACT_TRAINDIR + '/cntraining ./tmp/*.tr')
#os.system("mv ./unicharset ./" + LANGUAGE_NAME + ".unicharset")
os.system("mv ./shapetable ./" + LANGUAGE_NAME + ".shapetable")
#os.system("rm ./shapetable")
os.system("mv ./pffmtable ./" + LANGUAGE_NAME + ".pffmtable")
os.system("mv ./inttemp ./" + LANGUAGE_NAME + ".inttemp")
os.system("mv ./normproto ./" + LANGUAGE_NAME + ".normproto")
os.system(TESSERACT_TRAINDIR + '/combine_tessdata ' + LANGUAGE_NAME + '.')
# If a config file is in the country's directory, use that.
config_file = os.path.join('./', country, country + '.config')
if os.path.isfile(config_file):
print "Applying config file: " + config_file
trainedata_file = LANGUAGE_NAME + '.traineddata'
os.system(TESSERACT_TRAINDIR + '/combine_tessdata -o ' + trainedata_file + ' ' + config_file )
os.system("mv ./" + LANGUAGE_NAME + ".unicharset ./tmp/")
os.system("mv ./" + LANGUAGE_NAME + ".shapetable ./tmp/")
os.system("mv ./" + LANGUAGE_NAME + ".pffmtable ./tmp/")
os.system("mv ./" + LANGUAGE_NAME + ".inttemp ./tmp/")
os.system("mv ./" + LANGUAGE_NAME + ".normproto ./tmp/")
os.system("mv ./" + LANGUAGE_NAME + ".unicharambigs ./tmp/")