Pinned Repositories
bdd100k2labelme
Convert the BDD100K instance segmentation dataset to a format that can be opened and modified by Labelme.
ByteTrack_MCMOT
MOT(Multi-object tracking) and MCMOT(Multi-class Multi-object tracking ) using yolov5 with C++ support bytetrack
colorful-image-colorization
colorTrans
Use Swin Transformer to build colorization network.
fastseg_pytorch
PyTorch implementation of MobileNetV3 for real-time semantic segmentation.
Nanodet-YoloV8-Pose-MeterReader
使用Nanodet+YoloV8-Pose实现指针仪表的实时检测、高精度读数识别（借助ncnn框架）
ncnn_yolov8_seg
基于ncnn框架部署yolov8-seg模型，可以用于实例分割，纯c++代码编写。
swinGAN
This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.
yolov8-pose-fall-detection
使用yolov8-pose进行人体关键点检测，通过计算人体各关键点关系进行人体摔倒检测（ncnn框架实现）
YoloX-DeepLabV3Plus-MeterReader
使用YoloX+DeepLabV3Plus实现仪表的检测、指针表盘分割和刻度读数识别（借助ncnn框架）
zhahoi's Repositories
zhahoi/Nanodet-YoloV8-Pose-MeterReader
使用Nanodet+YoloV8-Pose实现指针仪表的实时检测、高精度读数识别（借助ncnn框架）
zhahoi/YoloX-DeepLabV3Plus-MeterReader
使用YoloX+DeepLabV3Plus实现仪表的检测、指针表盘分割和刻度读数识别（借助ncnn框架）
zhahoi/yolov8-pose-fall-detection
使用yolov8-pose进行人体关键点检测，通过计算人体各关键点关系进行人体摔倒检测（ncnn框架实现）
zhahoi/swinGAN
This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.
zhahoi/colorTrans
Use Swin Transformer to build colorization network.
zhahoi/NanodetPlus-MobilenetV3-LRASPP-MeterReader
使用Nanodet+MobilenetV3-LRASPP实现仪表的实时检测、指针表盘分割和刻度读数识别（借助ncnn框架）
zhahoi/ncnn_yolov8_seg
基于ncnn框架部署yolov8-seg模型，可以用于实例分割，纯c++代码编写。
zhahoi/bdd100k2labelme
Convert the BDD100K instance segmentation dataset to a format that can be opened and modified by Labelme.
zhahoi/ByteTrack_MCMOT
MOT(Multi-object tracking) and MCMOT(Multi-class Multi-object tracking ) using yolov5 with C++ support bytetrack
zhahoi/colorful-image-colorization
zhahoi/fastseg_pytorch
PyTorch implementation of MobileNetV3 for real-time semantic segmentation.
zhahoi/Unet_ncnn
使用Unet实现指针仪表表盘指针和刻度分割（借助ncnn框架）
zhahoi/zhahoi
Config files for my GitHub profile.
zhahoi/zhahoi.github.io
This is my personal blog page.