hyaihjq's repositories
YOLOv5_NCNN
🍅 移动端部署，支持YOLOv5s、YOLOv4-tiny、MobileNetV2-YOLOv3-nano、Simple-Pose、Yolact、ChineseOCR-lite、ENet与Landmark106模型，支持iOS、Android，使用NCNN框架。
ACELoss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
CenterNet-Lite
A resnet18 version of CenterNet（objects as points）
chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
EasyFace
A lightweight face recognition, high accuracy, real-time, cross-platform
fastseg
📸 A PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
mnn-yolov5
Imported from https://gitee.com/techshoww/mnn-yolov5.
mobile-lpr
Mobile-LPR 是一个面向移动端的准商业级车牌识别库，以NCNN作为推理后端，使用DNN作为算法核心，支持多种车牌检测算法，支持车牌识别和车牌颜色识别。
multiyolov5
joint detection and semantic segmentation, based on ultralytics/yolov5,
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
nanodet_rknn
nanodet_rknn on rk3399pro platform
OneNet
OneNet: End-to-End One-Stage Object Detection
PointPillars_MultiHead_40FPS
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
pytorch_classification
Implementation of some classification models with pytorch, including SENet, ResNet, DenseNet, etc.
Segmentation-Pytorch
Semantic Segmentation in Pytorch.Network include UNet、ENet、ESPNet、ESPNet_v2、ERFNet、DABNet、BiSeNetV2、PSPNet、DeeplabV3Plus
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
simple-centernet-pytorch
This is just a simple implementation of "CenterNet:Objects as Points"
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Ultra_Fast_Lane_Detection_TensorRT
An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for int8, dynamic input and profiling. (TRT-hackathon2021)
YOLOv4-PyTorch
Pytorch implements yolov4.Good performance, easy to use, fast speed.
yolov5-1
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
yolov5_mask
Try add Instance Segmentation upon YoloV5
yolov5_ncnn_ubuntu
yolov5_ncnn in ununtu16.04