BugId.release.2019-03-04.15.31

区域生长，图像的分割，种子点选取流程，，，，，，，，，，，，，，，，，，，(mage segmentation is the technology and process of dividing an image into several specific and unique regions and presenting interesting targets. It is a key step from image processing to image analysis. The existing image segmentation methods are divided into several categories: threshold based segmentation, region based segmentation, edge based segmentation and segmentation based on specific theory. Since 1998, researchers have improved the original image segmentation method and applied some new theories and methods in other disciplines to image segmentation, and a number of new segmentation methods have been proposed. The target extracted after image segmentation can be used for image semantic recognition, image search and so on.)

大漠类库最新版 可以去直接拉进去并且使用 也有多线程模板(The latest version of the Desert Class Library can be pulled in and used with multi-threaded templates)

说明：  自己写的对联广告，随滚动条滚动，代码简单有备注(Write your own couplet ads, scroll along with the scroll bar, the code is simple with notes)

OCC基础教程，Opencascade基础教程、帮助文档(OCC Basic Courses,Opencascade Basic Courses)

无网格局部彼得洛程序,此方法不需要背景网格 的积分!-mesh pattern of Bideiluo procedures, this method does not need background mesh with the score!

说明：  基于fpga的verilog实现ad及uart，并进行仿真验证(Verilog based on FPGA implements AD and uart, and carries out simulation verification)

说明：  基于遗传算法优化多尺度排列熵参数，类似于粒子群算法优化参数(Optimization of VMD parameters based on genetic algorithm)

直插式电阻电容封装与尺寸图解(20190724083559)(Direct-plug Resistance Capacitance Packaging and Dimension Diagram (20190724083559))

基于FPGA的高速图像采集和处理卡 能用于视觉检测系统

MPCPY是一个Python程序包，它有助于测试和实现用于构建系统的乘员集成模型预测控制（MPC）。该软件包侧重于使用数据驱动的、简化的物理或统计模型来预测建筑性能和优化控制。四个主要模块包含对象类来导入数据，与真实的或仿真的系统交互，估计和验证数据驱动的模型，并优化控制输入。(MPCPy is a python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input.)