CatofWei's repositories
spring-analysis
Spring源码阅读
spring-framework
Spring Framework
effective-resourses
:book:学习资源整合
Effective-Java-3rd-edition-Chinese-English-bilingual
Effective Java（第3版）各章节的中英文学习参考（已完成）
retinanet-pytorch-1
这是一个retinanet-pytorch的源码，可以用于训练自己的模型。
labelme_converter
LabelMe to MsCOCO, PascalVOC, Yolo
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
yolov4-tiny-pytorch
这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。
yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
labelme2coco
Make your own dataset for object detection and transform the format to coco json format
MUNIT
Multimodal Unsupervised Image-to-Image Translation
Faster-RCNN-with-torchvision
A reimplement of Faster-rcnn with torchvision
CoMoGAN
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Retinanet-Pytorch
Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Thundernet_Pytorch
Implementation Thundernet
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
TinyWebServer
:fire: Linux下C++轻量级Web服务器
pytorch-faster-rcnn
pytorch based implementation faster rcnn
Pytorch-CornerNet
Minimal PyTorch implementation of CornerNet
Singapore-Maritime-Dataset-Frames-Ground-Truth-Generation-and-Statistics
Repository for generating frames from the Singapore Maritime Dataset videos and converting the corresponding ground truth files. FInally, some basic statistics are generated.
SSD-Pytorch
SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn