There are no reviews yet. Be the first to send feedback to the community and the maintainers!
deeplabv3plus_pytorch
基于deeplabv3plus网络实现了虹膜图像分割以及水果图像分割svm_classification
svm_classification是一个通用的svm模型训练框架,稍加修改即可变成一个通用的机器学习模型训练框架。方便快速训练机器学习模型,可重复使用,避免重复写代码。local_binary_pattern
用python和c++实现了原始的LBP、圆形LBP、旋转不变的圆形LBP、等价模式的圆形LBP、旋转不变的等价模式的圆形LBP。python版本LBP用于模型训练,c++版本LBP用于模型部署。image_focus_assessment
虹膜图像清晰度评估pdf_paper_rename
cifar10_classification
opencv的dnn模块使用caffe训练的cifar10分类模型进行图像识别morph_snakes
根据论文《A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces》实现了MorphGACcaffe_resnet
用pycaffe实现了《Deep Residual Learning for Image Recognition》提出的ResNet,并在cifar10数据集上训练模型。mobilenetv2_ssdlite_ncnn
arm linux嵌入式开发版使用ncnn模型部署mobilenetv2_ssdlitetransfer_learning
使用keras实现transfer learning,使用了cifar10数据库和vgg16模型。iris_detection-adaboost_lbp
基于adaboost + lbp的虹膜检测MorphGAC
根据论文《A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces》实现了MorphGACcaffe_python_layer
使用python layer自定义数据增强层,对于准确率的提升有一定的效果。caffe_alexnet
用pycaffe实现了《imagenet-classification-with-deep-convolutional-neural-networks》提出的alexnetLove Open Source and this site? Check out how you can help us