室内导航python代码

Python implementation of 1D SPH schemes

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.)

说明：  正则表达式的一般用法。测试一下，能否下载(In this paper, we present the generalized result about the regularity of operators.)

利用可见光图像训练编解码网络，然后将红外图像和可见光图像进行融合编码，最后通过解码将图像恢复出来，用此类方法进行图像融合借鉴了图像风格迁移的思想，将一部分红外图像的信息迁移进可见光图像中，使得原本在可见光图像中不可见的信息显现出来，该方法相比较于传统的图像融合，在指标参数上有一定的提高。

一个python写的验证码识别程序，依赖PIL、Tesseract-OCR,包括简单的噪点去除等等，识别率还不错

【实例简介】

一个简单的LSTM神经网络训练的python代码(A simple LSTM neural network training Python code)

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).)

heft algo

说明：  无人机影像ORB特征提取和RANSAC算法剔除(UAV image ORB feature extraction and RANSAC algorithm elimination)