HongyingZhang's Projects
Convert the BDD100K instance segmentation dataset to a format that can be opened and modified by Labelme.
MOT(Multi-object tracking) and MCMOT(Multi-class Multi-object tracking ) using yolov5 with C++ support bytetrack
Use Swin Transformer to build colorization network.
PyTorch implementation of MobileNetV3 for real-time semantic segmentation.
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)
This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.
使用Unet实现指针仪表表盘指针和刻度分割(借助ncnn框架)
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)
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