yidan-zhang Goto Github PK

tph-yolov5

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

uctransnet

Implementation of our AAAI'22 work: "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer".

unet-family

Paper and implementation of UNet-related model.

unet-pytorch

这是一个unet-pytorch的源码，可以训练自己的模型

unet-zoo

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

utnet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

voc2007_for_yolo_torch

:punch: Prepare VOC format datasets for ultralytics/yolov3 & yolov5

yidan-zhang

Config files for my GitHub profile.

yolo-multi-backbones-attention

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

yolov3-point

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

yolov4-pytorch

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

yolov4-pytorch-1

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

yolox-pytorch

这是一个yolox-pytorch的源码，可以用于训练自己的模型。