Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Overview

Human Pose Regression with Residual Log-likelihood Estimation

[Paper] [arXiv] [Project Page]

Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
ICCV 2021 Oral


Regression with Residual Log-likelihood Estimation

TODO

  • Provide minimal implementation of RLE loss.
  • Provide implementation on Human3.6M dataset.
  • Provide implementation on COCO dataset.

Installation

  1. Install pytorch >= 1.1.0 following official instruction.
  2. Install rlepose:
pip install cython
python setup.py develop
  1. Install COCOAPI.
pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
  1. Init data directory:
mkdir data
  1. Download COCO data:
|-- data
`-- |-- coco
    `-- |-- annotations
        |   |-- person_keypoints_train2017.json
        |   `-- person_keypoints_val2017.json
        `-- images
            |-- train2017
            |   |-- 000000000009.jpg
            |   |-- 000000000025.jpg
            |   |-- 000000000030.jpg
            |   |-- ... 
            `-- val2017
                |-- 000000000139.jpg
                |-- 000000000285.jpg
                |-- 000000000632.jpg
                |-- ... 

Train from scratch

./scripts/train.sh ./configs/256x192_res50_regress-flow.yaml train_rle

Evaluation

Download the pretrained model from Google Drive.

./scripts/validate.sh ./configs/256x192_res50_regress-flow.yaml ./coco-laplace-rle.pth

Citing

If our code helps your research, please consider citing the following paper:

@inproceedings{li2021human,
    title={Human Pose Regression with Residual Log-likelihood Estimation},
    author={Li, Jiefeng and Bian, Siyuan and Zeng, Ailing and Wang, Can and Pang, Bo and Liu, Wentao and Lu, Cewu},
    booktitle={ICCV},
    year={2021}
}
Owner
JeffLi
jeff.lee.sjtu[at]gmail[dot]com
JeffLi
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR)

Ilya Kostrikov 3k Dec 31, 2022
An example to implement a new backbone with OpenMMLab framework.

Backbone example on OpenMMLab framework English | 简体中文 Introduction This is an template repo about how to use OpenMMLab framework to develop a new bac

Ma Zerun 22 Dec 29, 2022
Implementation of RegretNet with Pytorch

Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard. Plotting with Matplotlib. Implementation of the neural network

Horris zhGu 1 Nov 05, 2021
DFM: A Performance Baseline for Deep Feature Matching

DFM: A Performance Baseline for Deep Feature Matching Python (Pytorch) and Matlab (MatConvNet) implementations of our paper DFM: A Performance Baselin

143 Jan 02, 2023
Gradient Inversion with Generative Image Prior

Gradient Inversion with Generative Image Prior This repository is an implementation of "Gradient Inversion with Generative Image Prior", accepted to N

MLLab @ Postech 25 Jan 09, 2023
Provably Rare Gem Miner.

Provably Rare Gem Miner just another random project by yoyoismee.eth useful link main site market contract useful thing you should know read contract

34 Nov 22, 2022
Koç University deep learning framework.

Knet Knet (pronounced "kay-net") is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports GPU

1.4k Dec 31, 2022
[CVPR'21] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

IVOS-W Paper Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild Zhaoyun Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanli

SVIP Lab 38 Dec 12, 2022
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers Results results on COCO val Backbone Method Lr Schd PQ Config Download

155 Dec 20, 2022
Informal Persian Universal Dependency Treebank

Informal Persian Universal Dependency Treebank (iPerUDT) Informal Persian Universal Dependency Treebank, consisting of 3000 sentences and 54,904 token

Roya Kabiri 0 Jan 05, 2022
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi

The Institute for Ethical Machine Learning 12.9k Jan 04, 2023
Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually.

Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually. It uses the concept of Image Background Removal using DeepLab Architecture (based on Semantic Se

Devashi Choudhary 5 Aug 24, 2022
A Haskell kernel for IPython.

IHaskell You can now try IHaskell directly in your browser at CoCalc or mybinder.org. Alternatively, watch a talk and demo showing off IHaskell featur

Andrew Gibiansky 2.4k Dec 29, 2022
Self-supervised learning optimally robust representations for domain generalization.

OptDom: Learning Optimal Representations for Domain Generalization This repository contains the official implementation for Optimal Representations fo

Yangjun Ruan 18 Aug 25, 2022
Predict the latency time of the deep learning models

Deep Neural Network Prediction Step 1. Genernate random parameters and Run them sequentially : $ python3 collect_data.py -gp -ep -pp -pl pooling -num

QAQ 1 Nov 12, 2021
Replication package for the manuscript "Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?" submitted to TOSEM

tosem2021-personality-rep-package Replication package for the manuscript "Using Personality Detection Tools for Software Engineering Research: How Far

Collaborative Development Group 1 Dec 13, 2021
Optimizes image files by converting them to webp while also updating all references.

About Optimizes images by (re-)saving them as webp. For every file it replaced it automatically updates all references. Works on single files as well

Watermelon Wolverine 18 Dec 23, 2022
给yolov5加个gui界面,使用pyqt5,yolov5是5.0版本

博文地址 https://xugaoxiang.com/2021/06/30/yolov5-pyqt5 代码执行 项目中使用YOLOv5的v5.0版本,界面文件是project.ui pip install -r requirements.txt python main.py 图片检测 视频检测

Xu GaoXiang 215 Dec 30, 2022
Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset This repository provides a unified online platform, LoLi-P

Chongyi Li 457 Jan 03, 2023
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Super Resolution Examples We run this script under TensorFlow 2.0 and the TensorLayer2.0+. For TensorLayer 1.4 version, please check release. 🚀 🚀 🚀

TensorLayer Community 2.9k Jan 08, 2023