包含2D姿态估计、3D姿态估计和实时姿态估计等。Simple Baselines for Human Pose Estimation and Tracking - [CODE] - Bin, Xiao, Haiping Wu, Yichen Wei (ECCV 2018) Multi-Scale Structure-Aware Network for Human Pose Estimation - Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu (ECCV 2018) ...
deep-learninghuman-pose-estimationmpii-datasetmpiimscoco-keypointcoco-keypoints-detectiondeep-high-resolution-nethigh-resolution-net UpdatedAug 30, 2024 Cuda Sandbox for training deep learning networks machine-learningdeep-learningneural-networkmxnetchainertensorflowkeraspytorchclassificationimagenetimage-classificat...
Deep Learning based Human Pose Estimation using OpenCV 1 姿态估计 在本文中,我们将重点关注人体姿态估计,其中需要检测和定位身体的主要部位/关节(例如肩膀、脚踝、膝盖、手腕等)。 1.1 Keypoint Detection Datasets
This is an official pytorch implementation ofDeep High-Resolution Representation Learning for Human Pose Estimation. In this work, we are interested in the human pose estimation problem with a focus on learning reliable high-resolution representations. Most existing methodsrecover high-resolution representa...
人体姿态估计(Human Pose Estimation)也称为人体关键点检测(Human Keypoints Detection)。对于人体姿态估计的研究,大致可做如下分类。 1. RGB vs RGBD 后者多一项Depth信息,常用于3D人体姿态估计的研究。 2. 2D Human Pose Estimation vs 3D Human Pose Estimation ...
人体姿态估计(Human Pose Estimation)也称为人体关键点检测(Human Keypoints Detection)。对于人体姿态估计的研究,大致可做如下分类。 1. RGB vsRGBD 后者多一项Depth信息,常用于3D人体姿态估计的研究。 2. 2D Human Pose Estimation vs 3D Human Pose Estimation ...
--out_onnxis the exported onnx file Reference OpenVino:https://github.com/opencv/dldt Pytorch-pose:https://github.com/yuanyuanli85/pytorch-pose Fast Human Pose Estimationhttps://github.com/yuanyuanli85/Fast_Human_Pose_Estimation_Pytorch...
In order to facilitate Chinese software developers to learn, use Openpose, make progress in human gesture recognition development and source code contributions, we translated README file into simplified Chinese. Salute to the developers in Carnegie Mellon university and the contributors to this project....
High extensibility MMSkeleton provides a flexible framework for organizing codes and projects systematically, with the ability to extend to various tasks and scale up to complex deep models. Multiple tasks MMSkeleton addresses to multiple tasks in human understanding, including but not limited to: ...
密集人体姿态估计旨在将人体的 RGB 像素图像映射到 3D 人体表面。 DensePose-RCNN 在 Detectron 框架下由 Caffe2 实现。 在该库中, Facebook 提供了用于训练和评估 DensePose-RCNN 的代码,Facebook 还提供 notebooks 用于可视化收集的 DensePose-COCO 数据集并显示与 SMPL 模型的对应关系。