-
fenlei
说明: 利用深度学习进行遥感图像场景分类
这里我们对NWPU-RESISC45数据集的场景图像进行分类
我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外,还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning
Here we classify scene images from NWPU-RESISC45 dataset
We apply convolutional neural network to image classification. We start training data sets from scratch. In addition, a pre-trained VGG16 abd ResNet50 is used for migration learning.)
- 2021-03-31 20:19:08下载
- 积分:1
-
python爬虫
Python爬虫程序,包含两个文件
main.py和test.py
- 2023-05-16 05:25:02下载
- 积分:1
-
object-intersection
blender script to make a object intersection
- 2014-01-12 21:59:12下载
- 积分:1
-
径向基函数神经网络
说明: 径向基网络BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf(BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf)
- 2019-06-11 17:12:44下载
- 积分:1
-
LSTM
用于运行LSTM的预测代码,例子是国际航班客流量。使用语言为python.(The forecast code used to run LSTM is an example of international flight traffic. The language used is python.)
- 2017-12-05 13:33:18下载
- 积分:1
-
TCP交互
说明: TCP/IP发送文件,并接受文件或数字或数据,可直接运行(TCP / IP sends files and accepts files or numbers or data, which can run directly)
- 2019-11-19 17:46:49下载
- 积分:1
-
som-master
说明: Python实现SOM自组织神经网络算法(Implementation of SOM self organizing neural network algorithm in Python)
- 2020-07-14 19:37:53下载
- 积分:1
-
AbnormalBehaviorDetection-master
说明: 基于光流特征的监控视频异常行为检测
使用CNN,RNN在UCSD数据库中实现
使用Keras,python3.6(Abnormal Behavior Detection of Monitoring Video Based on Optical Flow Characteristics)
- 2019-04-23 09:38:45下载
- 积分:1
-
tyhoondata
利用netcd库 python语言读取nc气象文件(Using Python language of netcd library to read NC meteorological files)
- 2019-01-10 12:52:56下载
- 积分:1
-
shuangmu
双目匹配计算视差,生成深度图。(前提是用自己标定好的摄像头拍的图片,导入内外参数然后进行立体匹配)(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))
- 2020-09-03 14:48:09下载
- 积分:1