资源列表
Intelligent-monitoring-platform
- 智能监控平台的网站服务基于Flask开源框架，图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等，并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
smoke
- 使用opencv进行烟雾检测，数据集和代码都在里面，可以直接跑(smoke detection with opencv)
改进粒子群算法的PID控制器优化设计
- 基本的pid控制器算法以及simulink仿真模型，可以在线更改仿真参数。(Simulation optimization)
Hi3516-objects-detection
- 从“我就是我”的开源工程下载的代码，详见压缩包中的读我说明(it is down form kapoo-pai's Git Project, look up the readme.md in zip file)
deep-speed-constrained-ins-master
- 基于深度学习的约束捷联带的速度估计智能手机惯性导航(DEEP LEARNING BASED SPEED ESTIMATION FOR CONSTRAINING STRAPDOWN INERTIAL NAVIGATION ON SMARTPHONES)
固定系统一致性
- matlab .m文件，包括一阶二阶有领导、无领导仿真(Including first-order and second-order simulation with and without leadership)
黑夜变白ToDayGAN-master
- 能然黑夜的图片变成白天，效果很逼真，很牛(If the picture of night turns into day, the effect is very vivid and cattle.)
RandomForest_matlab
- 用matlab实现随机森林算法，里面附有说明文档，参数可调节(The implementation of stochastic forest algorithm with matlab, which has instructions and adjustable parameters)
DI
- 使用爬虫爬取医疗对话文本信息，并使用tensorflow进行NLP分析和分类。(obtain data using crow programme and then use TensorFlow to realize an NLP system to classify the data.)
SVM_tensorflow-master
- SVM通过tensorflow训练iris数据集，寻找最优参数，使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
Exercise(3-1b)
- Non-isothermal Unsteady CSTR Reactor
autoencoder
- 自编码的代码实现，运用在MNIST数据集上，打包文件。(auto encoder code implementation, using in MINIST data sets, packaging files.)