python练习50例

可以进行批量裁剪TIF格式文件，适用于大量数据预处理(GOODLUCK,wish that my code will help your clip)

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说明：  利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply convolutional neural network to image classification. We start training data sets from scratch. In addition, a pre-trained VGG16 abd ResNet50 is used for migration learning.)

机器学习中经典的猫狗大战比赛程序实现，基于vgg16网络训练完成(The implementation of the classical cat-dog contest program in machine learning based on vgg16 network training)

说明：  单图像和多图像三维重建，基于theano包的一个重建代码，够20个子了吗(3d reconstruction from both single and muti image)

说明：  ACO优化BP模型，避免局部最优，从而进行预测(ACO optimizes BP model, avoids local optimization, and forecasts)

本书详细介绍了Python语言基础知识、Python语言与Abaqus脚本接口的关系以及编写脚本实现各种功能，包括快速建模、访问输出数据库、对外部数据进行其他后处理和部分高级处理功能。通过大量的实例脚本和详细的注释，为读者提供编写、调试脚本和开发专有模块的方法，帮助读者提高解决复杂问题的能力。(This book introduces the basic knowledge of Python language, the relationship between the Python language and the Abaqus script interface, and writes scripts to implement various functions, including fast modeling, access to the output database, other post-processing of external data, and some advanced processing functions. Through a large number of instance scripts and detailed annotations, it provides readers with the way to write, debug scripts, and develop proprietary modules to help readers improve their ability to solve complex problems.)

说明：  一本很好的Abaqus二次开发编程教材，包含相关编程实例，快速学习入门(A good textbook for Abaqus secondary development programming)

听说过google的C++代码规范吧。 这个脚本可以检测你的代码是不是遵守Google style。 有兴趣了 试试(Heard of Google C++ code specifications. This script can detect your code with Google style is it right?. Interested in a try)

将F5 LC设备配置文件转换为CSV文件，把VS和Pool信息关联。目前支持V9版本设备配置转换。主要是用来进行设备管理、配置迁移使用。