Python批量重命名文件夹中文件

遥感影像处理
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"该Python脚本用于处理文件夹中的文件，将文件名与子文件夹中的文件名结合，并重命名。脚本首先获取指定路径下的文件列表，然后遍历每个文件，将其与子文件夹中的文件进行组合命名，并进行重命名操作。最后，创建一个名为'all'的合并文件夹。" 在遥感影像处理领域，管理和组织大量的图像文件是一项关键任务。这个Python脚本提供了一种自动化的方法来整理和重命名这些文件。以下是对脚本主要部分的详细解释： 1. **导入模块**：脚本使用`os`模块，这是Python的标准库之一，提供了与操作系统交互的各种功能，包括文件和目录的管理。 2. **定义路径**：在`In[15]`中，有两个不同的路径被注释掉。第一个是包含多个文件的文件夹路径，第二个是单个图像文件的路径。这表明脚本可以处理这两种情况，但实际执行时仅使用了第一个路径。 3. **获取文件列表**：`os.listdir(path)`函数用于获取指定路径`path`下的所有文件和子目录的名称，返回的是一个列表。 4. **遍历文件并重命名**：对于文件夹中的每个文件，脚本通过`os.path.join()`创建每个文件的完整路径，然后获取每个文件的绝对路径。接着，它将文件名与子文件夹中的文件名结合，形成新的文件名，并使用`os.rename()`进行重命名。 5. **创建合并文件夹**：在`In[13]`行，脚本创建了一个名为`merge`的新文件夹，意图可能是在其中合并或归档重命名后的文件。 在遥感影像处理中，这样的自动化重命名过程可以极大地提高效率，特别是在处理大量卫星图像或者遥感数据时。例如，如果原始文件名不符合特定的命名规范，或者需要根据某种规则（如时间、地点）进行分类，这个脚本能快速实现这些需求。同时，创建合并文件夹可能用于集中存储处理后的文件，方便后续的数据分析和处理。 不过，这个脚本没有考虑到错误处理和验证，例如检查文件是否存在、是否可读写，以及新文件名是否冲突等问题。在实际应用中，应添加适当的异常处理和验证机制，以确保脚本的健壮性和安全性。

FlexGraphics_V_1.79_D4-XE10.2_Downloadly.ir

2018-11-22 上传
- ADD: Add TFlexPanel.InvalidateControl virtual method which calls from TFlexControl.Invalidate and can be overriden (it is possible now to catch all object invalidation calls). - FIX: The TFlexPanel....

MAXQ1850 USB-HID 范例 内有SPI watchdog 代码可供参考 C 代码 编译环境cross studio

2024-07-31 上传
usb_README.txt NOTE: This example has only been tested on Windows XP machines. This project has a few special settings that must be followed. 1. Create a new project as shown in section D of the ...

import tensorflow as tf from tensorflow import keras from keras import layers import xml.etree.ElementTree as ET import pathlib from pathlib import Path file_path = Path('C:/1') def net_init(): model = keras.Sequential([layers.Input(shape=(1200, 1600, 3))]) model.add(layers.Conv2D(filters=3, activation="relu", kernel_size=(3, 3), padding="same", strides=2)) model.add(layers.MaxPool2D(pool_size=(2, 2))) model.add(layers.Conv2D(filters=3, activation="relu", kernel_size=(3, 3), padding="same", strides=2)) model.add(layers.MaxPool2D(pool_size=(2, 2))) model.add(layers.Conv2D(filters=1, activation="relu", kernel_size=(3, 3), padding="same", strides=2)) model.add(layers.MaxPool2D(pool_size=(2, 2))) model.add(layers.Dense(48, activation='relu')) model.add(layers.Dense(2, activation='softmax')) return model def load_xml(folder_path: Path) -> list: feature_list = [] file_list = [] label_list = [] for file_name in folder_path.glob('*.xml'): xml_tree = ET.parse(file_name) root = xml_tree.getroot() feature = ( int(root.find('object/bndbox/xmin').text), int(root.find('object/bndbox/ymin').text), int(root.find('object/bndbox/xmax').text), int(root.find('object/bndbox/ymax').text) ) feature_list.append(feature) file_list.append(file_name) label_list.append(root.find('object/name').text) return feature_list, file_list, label_list def load_img(folder_path : Path, xml_list : list): img_list = [] print(xml_list) for img_name in folder_path.glob('*.jpg'): print(img_name) xml_name = img_name.with_suffix('.xml') print(xml_name) if xml_name in xml_list: print("yes") img = tf.io.read_file(img_name.as_posix()) img = tf.image.decode_image(img, channels=3) img = tf.image.per_image_standardization(img) img_list.append(img) return img_list def main(): feature_list, file_list, label_list = load_xml(file_path) img_list = load_img(file_path, file_list) model = net_init() model.compile(optimizer='adam', loss=tf.keras.losses.mse, metrics=['accuracy']) model.fit(img_list, feature_list, epochs=1) main()这段程序有什么问题

2023-06-02 上传
这段程序可能会有以下问题： 1. 程序中没有明确指定输入的图像尺寸，而模型中的第一层需要接受一个 (1200, 1600, 3) 的输入，可能会导致输入图像的尺寸不符合要求而导致程序出错。 2. 程序中使用了标准化函数 tf....

eclipse Source folder name is empty.

2023-04-06 上传
This error message usually appears when you are trying to create a new Java source folder in Eclipse, but you have not given it a name. To resolve this issue, follow these steps: 1. Right-click on ...

Write java code: Copy the files, small_weapons.txt, and large_weapons.txt from the assignment folder on Blackboard and save them to your folder. For testing purposes, you should use the small file. Use the large file when you think the application works correctly. To see what is in the files use a text editor. Nilesh is currently enjoying the action RPG game Torchlight 2 which is an awesome game and totally blows Auction House Simulator 3, oh sorry, that should be Diablo 3, out of the water. He has got a file containing info on some of the unique weapons in the game. The transaction file contains the following information: Weapon Name (string) Weapon Type (string) Damage (int) Weapon Speed (double) … To tell if one weapon is better than another you need to know the Damage Per Second (DPS) the weapon does, since weapons have a different attack speed. DPS is calculated by taking the damage value and dividing it by the attack speed.a) You will write a program that will allow Nilesh to load the file and display the weapon info and DPS of every weapon in the input file. When the user chooses to open a weapon file, they are required to type in the filename. It will then read the 4 values about a particular weapon and then display the 4 values to the console window on one line neatly padded along with the DPS of the weapon. This is repeated until the end of the file. b) Modify your code from a) so that the weapon information written to the console window is also written to a text file. The user should be able to specify the name of the file. Add a header to the beginning of the file which has column headers for each column. At the end of the text file display the total number of weapons in the file. c) Document your code appropriately and add your name and id number as comments at the top of your code. Please also submit this text file you have created. Enter the file you want to search end with .txt: large_weapons.txt 1 Blackfang Bludgeon Great Hammer 489 1.44 339.58333333333337 2 Bones 2 Boneshredder Great Axe 256 0.84 304.76190476190476 3 Comet's Tail Great Sword 872 1.2 726.6666666666667 4 Decapitator Great Sword 188 1.08 174.07407407407408 5 Demolisher Great Hammer 887 1.32 671.9696969696969

2023-05-27 上传
System.out.print("Enter the file you want to search end with .txt: "); String fileName = scanner.nextLine(); File file = new File(fileName); try { Scanner fileScanner = new Scanner(file); ...

model_names = sorted(name for name in models.__dict__ if name.islower() and not name.startswith("__")) parser = argparse.ArgumentParser(description='StrainNet inference', formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('--arch', default='StrainNet_l',choices=['StrainNet_f','StrainNet_h','StrainNet_l'], help='network f or h') parser.add_argument('data', metavar='DIR', help='path to images folder, image names must match \'[name]1.[ext]\' and \'[name]2.[ext]\'') parser.add_argument('--pretrained', metavar='PTH', help='path to pre-trained model') parser.add_argument('--output', '-o', metavar='DIR', default=None, help='path to output folder. If not set, will be created in data folder') parser.add_argument('--div-flow', default=2, type=float, help='value by which flow will be divided') parser.add_argument("--img-exts", metavar='EXT', default=['tif','png', 'jpg', 'bmp', 'ppm'], nargs='*', type=str, help="images extensions to glob") device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")

2023-07-08 上传
- `data`：指定图像文件夹的路径，图像文件名必须符合 `[name]1.[ext]` 和 `[name]2.[ext]` 的格式。 - `pretrained`：指定预训练模型的路径。 - `output`：指定输出文件夹的路径。如果未设置，则会在数据文件夹中...

cj使用.txt

2019-09-09 上传
7) If the result is correct, select your saving settings (materials, textures, prefabs, Obj) and define the destination folder (if no destination folder is set, the default location is /Assets/...

add-snippet.alfredworkflow:使用##关键字添加新的Alfred Snippet

2021-05-19 上传
添加摘要Alfred工作流程 使用添加新的Alfred代码段 ## keyword: snippet 多行作品带有空格的关键字 ... find ~ -name 'snippets.alfdb' (User Folder) find / -name 'snippets.alfdb' (Entire HD) 如果产生多个结果：

上述表述和我下载的官方代码不一样，以下是我截取的部分源代码，请重新整理if name == 'main': parser = argparse.ArgumentParser() parser.add_argument('--weights', nargs='+', type=str, default='yolov5s.pt', help='model.pt path(s)') parser.add_argument('--source', type=str, default='data/images', help='source') # file/folder, 0 for webcam parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)') parser.add_argument('--conf-thres', type=float, default=0.25, help='object confidence threshold') parser.add_argument('--iou-thres', type=float, default=0.45, help='IOU threshold for NMS') parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu') parser.add_argument('--view-img', action='store_true', help='display results') parser.add_argument('--save-txt', action='store_true', help='save results to *.txt') parser.add_argument('--save-conf', action='store_true', help='save confidences in --save-txt labels')

2023-07-25 上传
parser.add_argument('--save-txt', action='store_true', help='save results to *.txt') parser.add_argument('--save-conf', action='store_true', help='save confidences in --save-txt labels') args = parser...

Please create bean of type 'Realm' or add a shiro.ini in the root classpath (src/main/resources/shiro.ini) or in the META-INF folder (src/main/resources/META-INF/shiro.ini).

2023-05-28 上传
<property name="realm" ref="myRealm"/> ``` 如果你不使用 Spring 框架，你可以在 src/main/resources 目录下创建 shiro.ini 配置文件，并进行相应的配置。例如： ``` [main] myRealm = com.example.MyRealm ...
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