Hu Kai's repositories
yolov5-5.x-annotations
一个基于yolov5-5.0的中文注释版本！
YOLOv5-LPRNet-Licence-Recognition
使用YOLOv5和LPRNet进行车牌检测+识别（CCPD数据集）
detr-annotations
detr官方源码中文注释版！
deformable-detr-annotations
一个deformable-detr的中文注释版本，供大家参考学习（A Chinese annotated version of deformable-detr）
FFSSD-ResNet
实验室的一个病虫害检测项目，在SSD基础上进行一系列改进！SSD Improvements!
YOLOX-Annotations
一个YOLOX的中文注释版本，供大家参考学习！
AwesomeCPlusPlus
记录下自己重学C++的过程，记录自己的一些学习C++的笔记和项目！
Classification-Annotations
一些基于Pytorch的图片分类模型，主要进行一些源码的解读工作！
CPlusPlusThings
C++那些事
image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AnomalyDetection
异常检测模型调研和笔记
cs-flow
This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
dl_note
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解，以及如何实现深度学习推理框架实战。
ECCV2022-ILR-workshop
2nd place solution to Google Universal Image Embedding Challenge!
ISAT_with_segment_anything
Interactive semi-automatic image segmentation annotation tool. Supports SAM(segment anything model), sam-hq, MobileSAM etc.（交互式半自动图像分割标注工具，支持SAM，sam-hq, MobileSAM等模型）
KuiperInfer
一个推理库的实现, A DIY deep learning inference framework.
mmsegmentation_multi_label_4ABS
The newest version of mmsegmentation with some updates for multi-label segmentation
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
pcl-learning
🔥PCL（Point Cloud Library）点云库学习记录
rk3588-yolo-demo
The project is a multi-threaded inference demo of Yolov8 running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀