OpenMMLab Pose Estimation Toolbox and Benchmark.
翻译 - OpenMMLab姿势估计工具箱和基准。
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, Enc...
翻译 - 支持Fast_SCNN，HRNet，Deeplabv3_plus（xception，resnet，移动网络），ContextNet，FPENet，DABNet，EdaNet，ENet，Espnetv2，RefineNet，UNet，DANet，HRNet，DFANet，HardNet，LedNet，OCNet，EncNet，EncNet 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.
#计算机科学#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".
翻译 - 这是我们 NeurIPS 2021 论文“HRFormer: High-Resolution Transformer for Dense Prediction”的官方实现。
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
#计算机科学#A TensorFlow implementation of HRNet for facial landmark detection.
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
#计算机科学#Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support
Multi-label classification based on timm.
#计算机科学#Fast and accurate Human Pose Estimation using ShelfNet with PyTorch
#计算机科学#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"
#计算机科学#Easy to use SOTA Top-Down Multi-person Pose Estimation Models in PyTorch
#计算机科学#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)