搜索资源列表
caltech-image-search-1.0
- 大规模图像检索的代码,matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码,可以对于经典的“词袋”模型(bow模型)有个具体的了解,但是该代码没有提供前序的特征提取,是直接从对提取好的特征向量聚类开始的,包括了k-means,分层k-means(HKM)聚类,倒排文件的建立和索引等,该代码还提供了局部敏感哈希(LSH)方法。最后,这份代码是下面这篇论文的作者提供的, Indexing in Large Scale Image Collections: Sc
上海理工大学+US!+基于微信的图像识别系统
- 一个可在微信端使用的深度学习的图像识别程序,使用keras开发,文件内包含训练集下载方式。(A deep learning in WeChat use of the image recognition program, using keras development, the document contains the training set, Download methods.)
test_convect_2d
- Face Pipeline to view and see the image features
liuwentaoboy-SegNet-RS-master
- 进行图像数字的识别功能,结合python语言与opencv,很强大!(The recognition of image numbers , combined with the Python language and opencv , it is powerful !)
pyhton
- python处理LANDSAT遥感影像数据主要是分类,批量从文件夹中读取,进行简单处理(Python processing LANDSAT remote sensing image data is mainly classified, batch reading from folders, simple processing)
code
- 不同的网络结构解决cifar-100图像识别(Different network structures to solve cifar-100 image recognition)
imagetoascii
- 将各种格式的图片转化为ASCII组成的图像(convert image to ascii art)
人脸图像特征提取与对比
- NMF、PCA-人脸图像特征抽取与对比,图像识别,主成分分析(Face image feature extraction and comparison, image recognition, principal component analysis)
汪星人识别项目
- python语言,使用keras框架,用vgg16提取图片特征然后用全连接层分类(Python language, using keras framework, extracting image features with vgg16 and classifying with full connection layer)
cifar-vgg-master图像识别
- cifar-vgg-master图像识别,基于python平台,很好用(cifar-vgg-master image recognition)