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tf.train.match_filenames_once
tf.train.match_filenames_once( pattern, name=None)保存匹配模式的文件列表，因此只计算一次。注意:返回文件的顺序可能是不确定的。
1.2K10编辑于 2022-09-04 - 来自专栏用户5586239的专栏
slt开关:7z仅列出文件名|slt:7z lists only filenames|grep+awksed
How to use 7zip command line version tool for listing only filenames?
95730编辑于 2022-09-12 [Tensorflow2.X][转载]tf.data读取tf.record文件并与tf.keras结合使用
") test_filenames = get_filename_by_prefix(source_dir,"test") import pprint pprint.pprint(train_filenames ) pprint.pprint(valid_filenames) pprint.pprint(test_filenames) def parse_csv_line(line, n_fields=9) = csv_dataset_to_tfrecords( train_filenames,train_set,n_shards,train_step_per_shard,None) valid_tfrecord_filenames test_filenames,test_set,n_shards,test_step_per_shard,compression_type="GZIP") pprint.pprint(train_tfrecord_filenames ) pprint.pprint(valid_tfrecord_filenames) pprint.pprint(test_tfrecord_filenames) expecte_feature
12400编辑于 2025-07-18- 来自专栏python3
python提取文件名
import os filenames=os.listdir('d:\\test\\') out=open('names.txt','w') flag=[] for name in filenames: if '.txt'==name[-4:]: filenames[filenames.index(name)]=name[:-4] flag.append(True ) elif '.jpg'==name[-4:]: filenames[filenames.index(name)]=name[:-4] flag.append( 第一个循环主要是为了修改filenames列表，通过匹配filenames的每个子元素，需要的就去掉后缀存储到filenames列表，并在相应的flag列表中标记True；不需要的就标记False。 这里的filenames.index(name)表示的是name这一项在filenames列表中的下标。
2.8K10发布于 2020-01-07 - 来自专栏Python小屋
Python模拟Linux/Mac OS工具grep和Windows工具findstr
from os import listdir from sys import argv def prepare(fileNames): for item in fileNames: # 把类似于*. fileNames.remove(item) temp = [fn for fn in listdir()\ if fn.endswith(item[index:])] fileNames.extend(temp) def main(desStr, fileNames): result = [] for filename in fileNames: try result.append(filename) break except: pass return result # 要查找的字符串 desStr = argv[1] # 要查找的全部文件 fileNames = argv[2:] # 预处理 prepare(fileNames) # 进行查找并输出结果 result = main(desStr, fileNames) for item in result:
1.6K60发布于 2018-04-16 - 来自专栏完美Excel
VBA代码：将最新文件从一个文件夹复制到另一个文件夹
VBA代码如下： Dim FileNames() As Variant Dim FSO As Object Dim FileCounter LoopOverFoldersAndSubFolders(SourceFolderPath, False) '如果想遍历文件夹中的子文件夹, 则将参数修改为True RecentDate = FileNames (2, 1) '检查最近日期 For x = 1 To UBound(FileNames, 2) If FileNames(2, x) > RecentDate Then RecentDate = FileNames(2, x) RecentFileName = FileNames(1, x) End (1 To 2, 1 To FileCounter) FileNames(1, FileCounter) = Fil.Path FileNames(2, FileCounter
1.8K10编辑于 2024-07-05 用Pyhton实现一个简单的文件搜索工具
filenames 当前目录下有哪些文件名，是一个列表。 下面我们用一串代码，帮助我们理解一下这个函数。 当前目录下有哪些文件名，成为一个列表 # os.walk 每次调用都能自动的对子目录进行递归，使用下面的循环将所有的路径获取出来 for dirpath,dirnames,filenames in :") for name in filenames: print(name) 效果如下： 上面就是我们遍历的结果了。 当前目录下有哪些文件名，成为一个列表 # os.walk 每次调用都能自动的对子目录进行递归，使用下面的循环将所有的路径获取出来 for dirpath,dirnames,filenames in :") # for name in filenames: # print(name) for f in filenames: if pattern
18410编辑于 2025-12-30- 来自专栏完美Excel
合并多个工作簿
Dim i As Long Dim n As Long Dim startRow As Long Dim lastRow As Long Dim FrtLoop As Boolean Dim FileNames String Set DestWB = ActiveWorkbook i = 1 FrtLoop = True SourceSheet = "Sheet" startRow = 1 Do FileNames vbNo Then GoTo Combine End If Continue: Loop While True = True Exit Sub Combine: For n = LBound(FileNames ) To UBound(FileNames) Set WB = Workbooks.Open(Filename:=FileNames(n), ReadOnly:=True) For Each ) To UBound(FileNames) Set WB = Workbooks.Open(Filename:=FileNames(n), ReadOnly:=True) For Each
1.1K10编辑于 2024-02-21 - 来自专栏城
查找目录中同名的文件或者文件夹
import os import os.path rootdir="/Volumes/extend/test" #要查找的目录 result = [] def findSame(parent,filenames ,category): for filename in filenames: print filename for filename2 in filenames: in result: result.append(message) print "start find..." for parent,dirnames,filenames findSame(parent,dirnames,"find folder ") #print "dirname is: " + dirname #for filename in filenames #print "parent is: " + parent #print "filename is: " + filename findSame(parent,filenames
5.5K30发布于 2018-09-12 - 来自专栏狂码一生
QT5中操作QWidgetItem下的集合元素（二）
doubleClickedSlot(QListWidgetItem *); 五、实现槽函数： //显示目录 void MainWindow::showDirSlot(){ //QStringList fileNames = dir.entryList(); if(fileNames.size() == 0){ QMessageBox::information(this,"ERROR MSG", "没有文件"); return ; } for(int index = 0; index < fileNames.size(); index++){ if (fileNames.at(index) == "." || fileNames.at(index) == ".."){ continue; } QListWidgetItem *item = new QListWidgetItem; item->setText(fileNames.at(index)); ui->
1.1K20发布于 2018-07-06 - 来自专栏程序员云帆哥
Eclipse和MyEclipse汉化方法
fileName.indexOf("_") < 0) { continue; } String[] filenames = fileName.split("_"); String filename1 = filenames[0]; String filename2 = filenames[1]; result = filename1 + "," + filename2 + ",file:/" + path = fileName.split("_"); String filename1 = filenames[0]+"_"+filenames[1]; String filename2 = filenames[2].substring(0, filenames[2].lastIndexOf(".")); result
54930编辑于 2022-05-12 - 来自专栏图像处理与模式识别研究所
使理想的图模型适合图像并创建标签。
Question 3 % Anja Deric | April 13, 2020 % Clear all variables and load images in clear all; close all; filenames {1,1} = '3096_color.jpg'; filenames{1,2} = '42049_color.jpg'; for imageCounter = 1:2 %size(filenames ,2) % Load and display original image imdata = imread(filenames{1,imageCounter}); figure (1); subplot(size(filenames,2),3,(imageCounter-1)*3+1); imshow(imdata); title('Original Image'); original shape and plot best_labelImage = reshape(best_labels,R,C); figure(1); subplot(size(filenames
1.1K20编辑于 2022-05-28 - 来自专栏小徐学爬虫
使用 Ruby 或 Python 在文件中查找
resultssearch_text = '__searchtext__'file_filter = '*.txt; *.htm'start_dir = 'c:/docs/2009'report_filenames = Falseregex_search = Falseresults = find_in_files(search_text, file_filter, start_dir, report_filenames (search_text) end end file.close end end if report_filenames return results.uniq = falseregex_search = falseresults = find_in_files(search_text, file_filter, start_dir, report_filenames report_filenames：指定是只报告文件名还是同时报告文件内容。regex_search：指定是否使用正则表达式进行搜索。
4.6K10编辑于 2024-03-12 - 来自专栏好奇心Log
让数据动起来！用Python制作动画可视化效果，让数据不再枯燥！
filenames = [] num = 0 for i in y: num += 1 # 绘制40张折线图 plt.plot(y[:num]) plt.ylim(20, 50) # 保存图片文件 filename = f'{num}.png' filenames.append(filename) plt.savefig(filename 50, 40, 30, 20, 10], [75, 0, 75, 0, 75], [0, 0, 0, 0, 0]] filenames (filename) if (i == n_frames): for i in range(5): filenames.append (filename) filenames.append(filename) # 保存 plt.savefig(filename
2.5K10发布于 2021-05-28 - 来自专栏数据分析1480
太强了，用 Matplotlib+Imageio 制作动画！
filenames = [] num = 0 for i in y: num += 1 # 绘制40张折线图 plt.plot(y[:num]) plt.ylim(20, 50) # 保存图片文件 filename = f'{num}.png' filenames.append(filename) plt.savefig(filename 50, 40, 30, 20, 10], [75, 0, 75, 0, 75], [0, 0, 0, 0, 0]] filenames (filename) if (i == n_frames): for i in range(5): filenames.append (filename) filenames.append(filename) # 保存 plt.savefig(filename
1.8K10发布于 2021-06-08 - 来自专栏Python基础、进阶与实战
快速整理文件——使用Python遍历文件
pathlib.Path(store_path).mkdir(parents=True, exist_ok=True) for dirpath, dirnames, filenames in tqdm in os.walk(search_path): print(f"dirpath={dirpath}, dirnames={dirnames}, filenames={filenames}") =['精选电子书'], filenames=['a.txt', 'b.txt'] dirpath=D:\资料\电子书\精选电子书, dirnames=[], filenames=['精品.txt'] dirpath =D:\资料\表格, dirnames=[], filenames=['表格1.xlsx', '表格2.xlsx'] os.walk 是递归地向下遍历(深度优先遍历)，访问所有的文件夹。 每次遍历返回一个三元组dirpath, dirnames, filenames。
1.5K20编辑于 2022-12-06 - 来自专栏文本生成图像
解决方案——文本生成图像DF-GAN配置Oxford-102 Flower 花数据集全流程
= \ pd.read_csv(filepath, delim_whitespace=True, header=None) filenames = df_filenames [1].tolist() print('Total filenames: ', len(filenames), filenames[0]) # filename_bbox = {img_file[:-4]: [] for img_file in filenames} numImgs = len(filenames) for i in range = train_names else: # split=='test' captions = test_captions filenames print('Load filenames from: %s (%d)' % (filepath, len(filenames))) else: filenames
1.2K00编辑于 2024-07-31 - 来自专栏python3
python提取文件名改进
/test/' filenames=os.listdir(addr) out=open('names.txt','w') pattern=re.compile(r'\w*\.{1}\w*') def operate (filenames): for name in filenames: match=pattern.match(name) if match: continue else: out.write(name+'\n') out.write('********\n') filenames_temp =os.listdir(addr+name+'/') operate(filenames_temp) out.write('********\n') operate (filenames) out.close() 与昨天相比做了些改动，把标记flag也去掉了，感觉没什么必要。
87820发布于 2020-01-14 - 来自专栏Mybatis学习
Tensorflow2——卷积神经网络之猫狗识别
numpy as np import glob import matplotlib.pyplot as plt #使用tf.data来读取数据集 #使用tf.keras来搭建网络 image_filenames /dc_2000/train/*.jpg") #读取train的所有图片，获取的图片的路径 #对路径进行乱序 image_filenames=np.random.permutation(image_filenames ) #此处lambda与map合用相当于：lambda函数用于指定对列表image_filenames中每一个元素的共同操作若==成立，表示当前标签为cat，label=1； 若当前标签为dog，则label train_labels = list(map(lambda x: float(x.split('\\')[1].split('.')[0] == 'cat'), image_filenames)) # 这里的x其实就是后面的image_filenames(参考map函数和lambda函数的用法) train_dataset=tf.data.Dataset.from_tensor_slices((image_filenames
1.8K20发布于 2021-06-21 - 来自专栏python3
Python简单制作GIF
Image, ImageDraw, ImageFont, ImageColor # modify the size of the images def change(): old_img_filenames Users\Jack\Desktop\old*.jpg’) widthlist = [] heightlist = [] for img_names in old_img_filenames width_min = widthlist[0] height_min = heightlist[0] for i,j in enumerate(old_img_filenames Jack\Desktop\new\%s.jpg’%str(i),’jpeg’) # look for all images needed def find_all_png(): png_filenames = glob.glob(r’C:\Users\Jack\Desktop\old*.jpg’) buf=[] for png_file in png_filenames:
90410发布于 2020-01-10
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