Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, Enc...
翻译 - 支持Fast_SCNN，HRNet，Deeplabv3_plus（xception，resnet，移动网络），ContextNet，FPENet，DABNet，EdaNet，ENet，Espnetv2，RefineNet，UNet，DANet，HRNet，DFANet，HardNet，LedNet，OCNet，EncNet，EncNet BiSeNet，PSPNet，ICNet，FCN，deeplab）
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation
Library for working with "CashCode" Bill Validator devices from Node.js app.
Example of implementation ccnet protocol for cashcode bill acceptor
CCNet, a semantic segmentation model implemented by Jittor
CCNet labeller plugin: Builds a label based on the last label and increments it by the provided value.
The plugin for CruiseControl.NET to use date time as labller.
Automatically exported from code.google.com/p/svnrevisionlabeller