hrnet

OpenMMLab Pose Estimation Toolbox and Benchmark.

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

Multi-person Human Pose Estimation with HRNet in Pytorch

[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

A TensorFlow implementation of HRNet for facial landmark detection.

Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Multi-label classification based on timm.

Fast and accurate Human Pose Estimation using ShelfNet with PyTorch

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

Easy to use SOTA Top-Down Multi-person Pose Estimation Models in PyTorch

UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)

Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.

PP-YOLOE行人检测+HRNet人体骨骼关键点检测，使用ONNXRuntime部署，包含C++和Python两个版本的程序

Human segmentation project(pytorch)