帧相减镜头检测

abaqus-各个单元分开附材料属性,用于处理材料各个网格单元不同时的情况！(Each element is attached to material properties separately)

PuTTY是一个Telnet、SSH、rlogin、纯TCP以及串行接口连接软件。用来和树莓派连接(nothing to say hjjjj)

python data science handbook

我们提供一类称为MobileNets的高效模型，用于移动和嵌入式视觉应用。?MobileNets是基于一个流线型的架构，它使用深度可分离的卷积来构建轻量级的深层神经网络。我们引入两个简单的全局超参数，在延迟度和准确度之间有效地进行平衡。这两个超参数允许模型构建者根据问题的约束条件，为其应用选择合适大小的模型。我们进行了资源和精度权衡的广泛实验，与ImageNet分类上的其他流行的网络模型相比，MobileNets表现出很强的性能。最后，我们展示了MobileNets在广泛的应用场景中的有效性，包括物体检测，细粒度分类，人脸属性和大规模地理定位。(We provide an efficient model called MobileNets for mobile and embedded vision applications. MobileNets is based on a streamlined architecture that USES deep separable convolution to build a lightweight deep neural network. We introduce two simple global hyperparameters to effectively balance the delay and accuracy. These two hyperparameters allow the model builder to select an appropriate size model for its application based on the constraints of the problem. We conducted extensive experiments on resource and precision tradeoffs, and MobileNets showed strong performance compared with other popular network models on the ImageNet classification. Finally, we demonstrate the effectiveness of MobileNets in a wide range of application scenarios, including object detection, fine-grained classification, face attributes, and large-scale geographic localization.)

说明：  用于识别车牌的代码，采用图像识别和文字识别代码。(The python code to recognize car id number.)

用于运行LSTM的预测代码，例子是国际航班客流量。使用语言为python.(The forecast code used to run LSTM is an example of international flight traffic. The language used is python.)

说明：  PYTHON IMPLEMENTATION FOR FORD-FULKERSON ALGORITH

说明：  通过PYTHON编写的爬虫程序，爬取Geoq的人口密度数据(The population density data of Geoq is crawled by a crawler program written in PYTHON)

利用地图图像的像素点与真实世界对应，进行路径规划，曲线使用三阶贝塞尔曲线生成(Using the correspondence between the pixels of the map and the real world, the path planning is carried out, and the curve is generated by the three order Bessel curve.)

做物联网涉及到实际使用环境语音识别准确率的测试，大量的语料如果是人来朗读的话太费功夫，编一个自动测试程序即可无人通宵测试，大大提高了效率；朗读上可以通过调用powershell来朗文档中的语料，通然后过串口抓取设备设备对语料响应的数据进行分析把识别结果写入到文档当中; 需要安装serial（串口支持模块）和openxl（Exel文档支持模块）;编译调试完成打包为.exe文件，可在没有配置python环境的电脑上运行； 使用到python多线程（通过Queue线程间通信），还有文档读写操作；很有参考价值，