搜索资源列表
sift-latest_win
- Rob Hess 開發的SIFT Feature Detector程式 These functions also work with image feature files from both David Lowe s SIFT detector and the Oxford VGG s affine covariant feature detectors. http://web.engr.oregonstate.edu/~hess/index.html
tarp_convNet
- Very deep Convolutional networks
VGG-16
- fds 实现深度学习的vgg网络，图像识别，机器学习的等等(fds adf fdsa fdsw gfdsae vfdsgasw fd)
tf_unet-master
- 使用U-Net模型实现数据集的分割功能，基于vgg模型基础上(Using the U-Net model to implement the segmentation of data sets, based on the VGg model)
vgg16
- vgg16的tensorflow实现，用python语言编写，导入pycharm即可使用(vgg 16 TensorFlow realization)
opencv_contrib_buchong1
- vs2013 opencv3.2安装opencv_contrib在cmake时候缺的boostdesc*.i和vgg*.i文件(opencv3.2 install opencv_contrib cmake error,it need boostdesc*.i and vgg*.i)
NeuralArtTensorFlow
- 在Python下，利用TensoFlow实现图片的神经风格转移；需要自行下载imagenet-vgg-verydeep-19.mat(Implemented Image's neural art transfer using Tensorflow in python)
vgg-for-anomaly-detection-master
- Very Deep Convolutional Networks for Large-Scale Visual Recognition
deepeval-encoder-1.0.3
- VGG calssification model
VGG
- VGG16分类网络,可以用于分类问题，采用了迁移学习(VGG16 classification net)