def _find_doxygen_input_files(dirs, includes=[]):
allfile = set()
for d in dirs:
includes.append(os.path.dirname(d[0]))
for path, exts, recurse in dirs:
if os.path.isfile(path):
allfile.add(path)
allfile = allfile.union(_find_doxygen_dependencies(path, includes))
if not os.path.isdir(path):
continue
for e in exts:
matches = glob.glob(os.path.join(path, e))
allfile = allfile.union(matches)
for m in matches:
allfile = allfile.union(_find_doxygen_dependencies(m,includes))
if recurse:
for d in os.dirlist(path):
if os.path.isdir(d):
allfile.union(_find_doxygen_input_files((d,exts,recurse),
includes))
files = []
for f in allfile:
if len(f) > 0 and \
not f.startswith('/usr/include/') and \
not f.startswith('/usr/lib/'):
files.append(f)
files.sort()
return files
def get_label_image(path,coor_list,label_list1):
"""
标签和图片，单个图片为单位
path: jpg图片的存储目录
coor_list: 图片中坐标序列，输入图片为单位
label_list1: 图片中标签序列，输入图片为单位
return image_list, label_list 处理后图片为单位
"""
image_list = []
label_list = []
picture_name = os.dirlist(path)
for i in range(len(picture_name)):
picture_path = path + '\\' + picture_name[i]
img = cv2.imread(picture_path,0)
count = 0
for coord in coor_list[i]:
# post1 原图中的四个角点
post1 = []
for i in range(0,8,2):
post1.append([coord[i],coord[i+1]])
post1 = np.float32(post1)
long = max(np.sqrt(np.sum(np.square(post1[0]-post1[3]))),
np.sqrt(np.sum(np.square(post1[1]-post1[2]))))
height = max(np.sqrt(np.sum(np.square(post1[0]-post1[1]))),
np.sqrt(np.sum(np.square(post1[2]-post1[3]))))
# post2 变换后的左上、右上、左下、右下
post2 = np.float([[0,0],[long,0],[0,height],[long,height]])
# 生成透视变换矩阵
M = cv2.getPerspectiveTransform(post1,post2)
# 进行透视变换，参数3是目标图像大小参数
dst = cv2.warpPerspective(img,M,(long,height))
# 保存图片到指定位置 label和image对应
pre_label = label_list1[i][count]
count += 1
pre_path = '...' + '\\' + pre_label
cv2.imwrite(pre_label,dst) # 存为png格式，怎么到指定位置？？？
image_list.append(pre_path)
label_list.append(pre_label)
image_list = np.asarray(image_list)
label_list = np.asarray(label_list)
return image_list, label_list
def check_files(dir_path,file_name_list,update_enable): #update_enable:1 update 0: not update
data_type=data_type_check(file_name_list)
basename_list=[]
update_file_list=[]
if data_type is list:
for data in file_name_list:
basename=os.path.basename(data)
basename_list.append(basename)
elif data_type is str:
basename=os.path.basename(file_name_list)
basename.append(basename)
else:
print("file_name_list data type error")
exit()
file_list=os.dirlist(dir_path)
for file in file_list:
for check_file in basename_list:
if update_enable:
update_file_list.append(check_file)
update_file_list.append(check_file)
return update_file_list
def check_files(dir_path,file_name_list,update_enable): #update_enable:1 update 0: not update
data_type=data_type_check(file_name_list)
basename_list=[]
update_file_list=[]
if data_type is list:
for data in file_name_list:
basename=os.path.basename(data)
basename_list.append(basename)
elif data_type is str:
basename=os.path.basename(file_name_list)
basename.append(basename)
else:
print("file_name_list data type error")
exit()
file_list=os.dirlist(dir_path)
for file in file_list:
for check_file in basename_list:
if update_enable:
update_file_list.append(check_file)
update_file_list.append(check_file)
return update_file_list
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 25 08:49:37 2019
@author: novanto
"""
import os
import cv
import cv2
PATH = "C:/Users/novanto/Downloads/AI AU Materials/FINAL PROJECT 4"
data_path = PATH + "/test_images"
data_dir_list = os.dirlist(data_path)
for i in data_dir_list:
img1 = cv.imread(data_path + "/" + i)
img2 = cv2.resize(img1, (224, 224), interpolation=cv2.INTER.CUBIC)
cv2.imwrite(data_path + "/" + i, img2)
print(data_path + "/" + i)
def search(x):
file_list = [f for f in os.dirlist('.') if os.path.isfile(f)]
import glob
import geant as geant
baseDir = '/global/scratch/bcplimley/electrons/parameterTests/'
dirform = 'e_Si_*'
fform = 'Mat_*.dat'
dirlist = glob.glob(os.path.join(baseDir,dirform))
print('Found ' + str(len(dirlist)) + 'directories')
print('')
for d in dirlist[0]:
flist = glob.glob(os.path.join(baseDir,d,fform))
fullflist = os.dirlist(os.path.join(baseDir,d))
print('Found ' + str(len(flist)) + ' files in ' + d)
print('')
for f in flist:
savename = 'ranges_' + f[4:-4] + '.txt'
if savename in fullflist:
continue
electron = geant.separateElectrons(geant.loadG4Data(
os.path.join(baseDir,d,f)))
savefile = open(os.path.join(baseDir,d,savename),'w')
for e in electron:
energyString = str(geant.measureEnergyKev(e))
rangeString = str(geant.measureExtrapolatedRangeX(e))
writeString = energyString + ',' + rangeString + '\n'
savefile.write(writeString)
import glob
import geant as geant
baseDir = '/global/scratch/bcplimley/electrons/parameterTests/'
dirform = 'e_Si_*'
fform = 'Mat_*.dat'
dirlist = glob.glob(os.path.join(baseDir, dirform))
print('Found ' + str(len(dirlist)) + 'directories')
print('')
for d in dirlist[0]:
flist = glob.glob(os.path.join(baseDir, d, fform))
fullflist = os.dirlist(os.path.join(baseDir, d))
print('Found ' + str(len(flist)) + ' files in ' + d)
print('')
for f in flist:
savename = 'ranges_' + f[4:-4] + '.txt'
if savename in fullflist:
continue
electron = geant.separateElectrons(
geant.loadG4Data(os.path.join(baseDir, d, f)))
savefile = open(os.path.join(baseDir, d, savename), 'w')
for e in electron:
energyString = str(geant.measureEnergyKev(e))
rangeString = str(geant.measureExtrapolatedRangeX(e))
writeString = energyString + ',' + rangeString + '\n'
savefile.write(writeString)
def init_engines(self): for file_name in os.dirlist(properties.engines): print "engine", file_name
def run(**args):
print("[*] In dirlist module")
files = os.dirlist(".")
return str(files)
