资源列表
测试
- --请自行更改参数 --1: 0,0,0,0 范围坐标，请自行修改 --2: "C8C8C8 , 303030" 偏色,多组或单组.请在偏色列表中选择 --3: 90 匹配精度 【0-100】(- please change the parameters by yourself --1: 0,0,0,0 range coordinate, please modify it by yourself --2: "C8C8C8, 303030"
新建文本文档 (2)
- 不知道为什么,只打一次再就不打怪了..有懂的帮忙修改一下..修改好了能发我信箱就好(I don't know why. I only need to fight once again. I don't know how to fight.)
translational_motion_compensation
- 未经过距离徙动校正的SAR成像，实现点目标的成像(SAR imaging without range migration correction)
vote
- 可以集成多个分类器的投票算法，采用python实现(The voting algorithm of multiple classifiers can be integrated and implemented by python.)
balancevote
- 针对不平衡样本的，可以综合多个分类器的投票算法。(For the unbalanced samples, the voting algorithm of multiple classifiers can be synthesized.)
lrrfgbdtxgboost
- 用Xgboost作为集成算法，将LR，RF,GBDT三个分类器的结果综合起来。(Using Xgboost as an ensemble algorithm, we synthesize the results of three classifiers of LR, RF and GBDT.)
TestOnlinExam-master
- 在线考试系统，拥有用户的登录注册功能。自带xadmin 的后台系统，可以自由的对数据库内容进行修改。(Online examination system, has the user's login registration function. With xadmin The background system is free to modify the contents of the database.)
Retinex-master
- 利用retinex算法实现图像增强，基于亮度的自适应多尺度图像增强(Image enhancement using Retinex algorithm)
allgbdtgbdt
- 采用GBDT进行特征筛选，然后结合样本权重的GBDT分类方法。(GBDT is used for feature selection and then combined with sample weight for GBDT classification.)
LittleMler
- sml 实例，选自 the little mler(sml exercise, from the little mler)
新建文件夹
- 对关键动作进行图像提取处理，运用递归函数调用功能(Perform image extraction on key actions)
xiangpijingfengshan
- 一个用ABAQUS描述柔性体旋转的经典例子(A classic example of using ABAQUS to describe the rotation of flexible bodies)