PyTorch implementations of Generative Adversarial Networks.
UNet3+/UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
https://github.com/hcw-00/PatchCore_anomaly_detection
demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch
开源视频人脸跟踪算法,基于mtcnn人脸加测+onet人脸跟踪,移动端速度可以达到150fps+。该项目基于Android工程,提供底层JNI实现,使用者可以自行编译移植到其他平台。算法依赖ncnn深度学习计算库,体积小,易于集成。
最全的Springboot2讲解,集成了rabbitmq,zookeeper,dubbo,activemq,mongodb,springcloud,netty4,elasticsearch,solr,fastdfs,hadoop,hive,hbase,spark等等