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python计算机视觉
《python计算机视觉》书籍中详细介绍了特征算子提取、立体匹配、多视匹配、三维重建、图像处理等详细代码步骤,python从事计算机视觉行业的必备书籍。(Python for computer vision)
- 2018-06-14 15:14:39下载
- 积分:1
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teardrop_smb
针对早期windows系统SMB协议的攻击
前提时先安装安装python
在命令提示符窗口中首先进入py命令所在的文件夹
直接键入python xx.py后回车确认(Attacks on SMB Protocol of Early Windows System
Install Python first
First enter the folder where the PY command resides in the command prompt window
Type Python xx.py directly and return to confirm)
- 2020-06-23 15:40:02下载
- 积分:1
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_神经网络与深度学习_邱锡鹏
说明: 神经网络与深度学习教科书————复旦大学邱锡鹏(Neural Network and Deep Learning Textbook)
- 2019-06-03 10:05:20下载
- 积分:1
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LIVE1_train_test
卷积神经网络,用于立体图像质量评价,附带说明(The application of convolution neural network to the quality evaluation of stereoscopic images)
- 2021-03-29 20:39:10下载
- 积分:1
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dqn
简单程序,很能说明DQN的运行方式,通过深度网络和Qlearning的结合,训练使得最后小球能移动到最左边(Simple procedures, it can explain the way of DQN, through the combination of deep network and Qlearning, so that the last ball can move to the left.)
- 2018-07-28 23:01:02下载
- 积分:1
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CNN_Pavia-master
说明: 使用卷积神经网络进行高光谱遥感数据分类,使用的数据源为Pavia University高光谱数据
文件夹log--日志文件夹,存放TensorBorad日志、网络参数文件、混淆矩阵图
文件夹Patch--存放数据处理的切片结果
文件夹PaviaU--高光谱数据下载存放位置
文件夹predicted--CNN对原始影像的分类结果
data.py--对原始高光谱影像进行数据处理,生成切片
net.py--神经网络模型
train.py--训练神经网络
utils.py--需要用到的函数
show.py--使用训练好的神经网络模型对原始数据进行分类(Using convolution neural network to classify hyperspectral remote sensing data, the data source is Pavia University hyperspectral data.
Folder log -- Log folder, store TensorBorad logs, network parameter files, obfuscation matrix diagrams
Folder Patch -- Stores slice results of data processing
Folder PaviaU -- Place for Hyperspectral Data Download and Storage
Folder predicted -- CNN classification results of original images
Data.py -- Data processing of original hyperspectral images to generate slices
Net.py--Neural Network Model
Train.py--Training Neural Network
Utils. py -- Functions to be used
Show.py -- Classification of raw data using trained neural network model)
- 2020-11-02 14:09:53下载
- 积分:1
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谱聚类
谱聚类的目的便是要找到一种合理的分割图的方法,使得分割后形成若干个子图,连接不同子图的边的权重(相似度)尽可能低,同子图内的边的权重(相似度)尽可能高(The purpose of spectral clustering is to find a reasonable method of segmentation graphs, so that several subgraphs are formed after segmentation, and the weights (similarities) of the edges connecting different subgraphs are as low as possible, and the weights of the edges in the same subgraph are as low as possible. (similarity) as high as possible)
- 2020-06-23 21:20:01下载
- 积分:1
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Blender-GIS
【实例简介】Blender软件插件。
- 2021-08-06 00:30:53下载
- 积分:1
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python 实现远程命令执行Struts2-045
cmd命令下完美执行,需要库文件,自行安装
- 2023-04-27 21:25:03下载
- 积分:1
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Extract-Me-for-Windows
Extract Me for Windows 采用Python开发的 简单界面 能实现 多种格式的 播放(Extract Me for Windows)
- 2013-05-05 10:06:45下载
- 积分:1