python之requests爬取亚马逊（国外站）关键词排名

说明：  遗传算法代码，外加个人理解希望大吉你可以多多交流(Genetic algorithm code, plus personal understanding, I hope you can communicate more)

火车票分析助手(项目源码下载)-Python项目开发案例集锦11.zip

说明：  DNCNN 网络实现，对DNCNN网络进行实现，并有一些可用功能(DNCNN NETWORK WITH SOME FUNCTIONS)

说明：  使用Python-OpenCV实现的MSRCR算法，可以用于水下图像的复原(An algorithm base on Python-OpenCV. Using MSRCR measure which can be used for underwater image restoration.)

说明：  人脸检测和识别，录入人脸数据，识别未知人脸是否为录入的(Face Detection and Recognition, Entering Face Data, Recognizing whether an Unknown Face is Input)

Python基础教程（第3版)，2017年出版，学习python的好工具。(Python Basic Tutorial (3rd Edition))

通过直线判断图像的倾斜角度，并将其自动旋转正(Judging the tilt angle of an image by a straight line and automatically rotating it forward)

说明：  用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and network layers, so that each layer can learn more features and greatly improve the generalization ability. The network is deeper, the amount of calculation in each layer is reduced, and the ability of feature extraction is strengthened, so as to improve the accuracy of target classification. On the LFW data set, the accuracy of face recognition reaches 98.40%. In this experiment, mtcnn is introduced into the face detection algorithm. Its backbone network is divided into three convolutional neural networks: p-net, R-Net and o-net. Among them, o-net is the most strict in screening candidate face frames. It will output the coordinates of a human face detection frame and five facial feature points (left eye, right eye, nose, left mouth corner, right mouth corner).)

montecarlo算法，练习使用练习使用练习使用练习使用(montecarlo method montecarlo method)

说明：  PSO代码，python实现，可直接调用，无bug(Python version of PSO algorithm)