搜索资源列表
gridregression
- SVM回归中用的gridregression.py函数，用它来进行参数寻优，做了一些改动适用于windows。-SVM regression using the gridregression.py function, use it to carry out parameter optimization, has done some changes to apply to windows.
python
- 用金字塔方法对图像进行分割，其中调用了opencv的函数。-Using the pyramid method of image segmentation, which calls the opencv function.
gdal_merge
- 功能强大的图像合并程序，用python实现，底层调用GDAL。-Powerful image merging process, using python implementation, the bottom is called GDAL.
python
- 用python产生方波图像以及对其作傅里叶变换，通过三维图显示频谱图-Square image and Fourier transformation with python
LBP
- 用python实现图像的LBP特征提取，参数可以自己修改。-Get a LBP image original binary image with python.
Poisson-Image-Editing
- 用Python语言实现Poisson Image Editing（泊松图像编辑）算法-implementation of Poisson Image Editing algorithm with python.
Python
- 用Python编写的用飞秋进行通信的网络小程序希望可以帮到大家-expect everyone to go up
PythonCode
- 用python编写的基于CV2的图像融合程序，实现偏振信息到IHS的转换、融合。-Using python to write the CV2-based image fusion program to achieve the polarization information to IHS conversion, integration.
PythonCode
- 用python编写的基于CV2的图像融合程序，实现了偏振信息与IHS的融合。-Using CV2-based image fusion program written in python to achieve the integration of polarization information and IHS.
PythonCF
- 基于Python的曲率滤波程序，完整可用，非常好用，用来对图像滤波，保边效果好(Curvature filtering procedures based on Python, complete, available, very useful, used to filter the image, edge preserving)
CNN-LeNet5
- CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)
SyntheticTumor-master
- 用python语言，对脑瘤动态的进行分割，配准等操作(The dynamic segmentation and registration of brain tumor were performed with python)
用python 将mnist 数据集转化为图片
- 将官网打包好的mnist数据集转化成图片(translate mnist data to picture)
Image Classification Example
- python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
handwrite2
- 采用KNN算法，用PYTHON语言实现的手写数字图像识别(Using KNN algorithm, handwritten digital image recognition with PYTHON language)
Cad_handle
- 用pyautocad处理cad文件，自动绘图(Using pyautocad to process CAD files and drawing automatically)
颜色识别python (2)
- 摄像头所采集到的图像及图像处理完成后的显示都需要用到颜色模型，常见的颜色模型包括RGB、HSV、HSL、Lab等，这里我所用到的颜色模型有RGB、HSV。RGB颜色模型分别对应Red（红色）、Green（绿色）、Blue（蓝色）这三种颜色，HSV颜色模型分别对应Hue（色相）、Saturation（饱和度）、Value（明度）这三种参数。将摄像头所采集到的RGB数据通过Python程序转变为HSV数据(The color model is needed to display the image
读TIFF
- 遥感影像可以用TIFF文件表示，为了读取遥感影像，可以使用python读取TIFF文件并进行重排(Remote sensing images can be represented by TIFF files. In order to read remote sensing images, TIFF files can be read and reshapeed by using Python)
python
- Python [1] （英国发音：/?pa?θ?n/ 美国发音：/?pa?θɑ?n/）, 是一种面向对象的解释型计算机程序设计语言，由荷兰人Guido van Rossum于1989年发明，第一个公开发行版发行于1991年。 Python是纯粹的自由软件， 源代码和解释器CPython遵循 GPL(GNU General Public License)协议。Python语法简洁清晰，特色之一是强制用空白符(white space)作为语句缩进。 Python具有丰富和强大的库。它常被昵称为
CarND-Advanced-Lane-Lines-master（1）
- 用Python对输入的车道视频进行处理，识别车道线。（此文件为程序文件，输入视频在另一个文件，请一同下载放到同一文件夹）(Python is used to process the input Lane video and identify the lane line. (this file is a program file, the input video is in another file, please download and put it in the same folder))