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tcp_udp_web_tools-pyqt5-master
说明: 使用pyqt编写的界面程序,实现串口网络通信(The interface program written by pyqt is used to realize the serial port network communication)
- 2020-01-07 15:48:10下载
- 积分:1
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对cmw500测试仪器的程控及初始化操作
说明: 完成对cmw500测试仪器的程控及初始化操作(Novice is currently in the learning stage. CMW500 GSM non-signaling test program example, including initialization)
- 2020-07-22 01:18:44下载
- 积分:1
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卡尔曼鼠标跟踪
说明: 用卡尔曼滤波器实现鼠标跟踪,用的python(Mouse tracking with Kalman filter)
- 2020-07-01 16:40:02下载
- 积分:1
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com.tencent.qb.plugin.arqbar9
说明: Subterranean homesick alien
- 2019-03-03 00:19:02下载
- 积分:1
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location
python开发的demo,实现将地理数据从高德坐标转换为wgs84坐标(Conversion of Goethe coordinates to WGS84 coordinates)
- 2020-06-20 21:20:02下载
- 积分:1
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settings
日志配置i爱生活覅哦请各位iiqg哦i过去哦i人给(Cats in New York are free to scale couches, window screens and curtains with their claws unclipped.)
- 2020-06-19 23:00:02下载
- 积分:1
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python实现DBSCAN(基于密度的聚类方法)
说明: DBSCAN(Density-Based Spatial Clustering of Applications with Noise) 为一种基于密度的聚类算法,它不仅可以找出具有任何形状的簇,而且还可以用于检测离群值。其基本思想为数据点分布紧凑的应被划分为一类,而周围未分布有或仅有极少数点的数据点则有可能为离群值。通过python实现了该聚类方法的计算。(DBSCAN (density based spatial clustering of applications with noise) is a density based clustering algorithm. It can not only find clusters with any shape, but also detect outliers. The basic idea is that the data points with compact distribution should be divided into a class, while the data points with few or no distribution around may be outliers. This clustering method is implemented by python.)
- 2020-12-23 15:45:10下载
- 积分:1
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山东省地图
说明: 山东地图基础资料SHP格式,不适用于ARCGIS(SD MAPS,not use for ArcGIS)
- 2020-01-25 00:26:16下载
- 积分:1
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SM3
python编写SM3密码杂凑算法,测试字符串abc, abcd*16(written in python SM3 password hash algorithm, the test string abc, abcd.* 16)
- 2012-08-04 15:34:55下载
- 积分:1
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non_local
自己用python复现的NL-mean去噪,备注比较详细,便于理解原理;
之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle.
We will try to reproduce more classical papers in the field of image.)
- 2020-06-21 00:40:02下载
- 积分:1