Code for "Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo"

Overview

Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo

framework

This repository includes the source code for our CVPR 2021 paper on multi-view multi-person 3D pose estimation. Please read our paper for more details at https://arxiv.org/abs/2104.02273. The project webpage is available here.

Bibtex:

@InProceedings{Lin_2021_CVPR,
    author    = {Lin, Jiahao and Lee, Gim Hee},
    title     = {Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {11886-11895}
}

Environment

Our code is tested on

  • Python 3.8.5
  • PyTorch 1.6.0 & torchvision 0.7.0
  • CUDA 11.2

Preparing Data

Download following data before using the code in this repository:

The data should be organized as follows:

    ROOTDIR/
        └── data/
            └── Campus/
                └── actorsGT.mat
                └── calibration_campus.json
                └── pred_campus_maskrcnn_hrnet_coco.pkl
            └── Shelf/
                └── actorsGT.mat
                └── calibration_shelf.json
                └── pred_shelf_maskrcnn_hrnet_coco.pkl
            └── Panoptic/
                └── 160224_haggling1/
                └── 160226_haggling1/
                └── ...
                └── keypoints_train_results.json
                └── keypoints_validation_results.json
            └── panoptic_training_pose.pkl
        └── output/
            └── campus_synthetic/mvmppe/config/model_best_pretrained.pth.tar
            └── shelf_synthetic/mvmppe/config/model_best_pretrained.pth.tar
            └── panoptic/mvmppe/config/model_best_pretrained.pth.tar
        └── ...

Training and Inference

Below are the commands for training our model on different datasets.

The Campus dataset:

    python run/train.py --cfg configs/campus/config.yaml

The Shelf dataset:

    python run/train.py --cfg configs/shelf/config.yaml

The CMU Panoptic dataset:

    python run/train.py --cfg configs/panoptic/config.yaml

Below are the commands for performing inference with our pre-trained models.

The Campus dataset:

    python run/validate.py --cfg configs/campus/config.yaml -t pretrained

The Shelf dataset:

    python run/validate.py --cfg configs/shelf/config.yaml -t pretrained

The CMU Panoptic dataset:

    python run/validate.py --cfg configs/panoptic/config.yaml -t pretrained
Owner
Jiahao Lin
Jiahao Lin
Caffe-like explicit model constructor. C(onfig)Model

cmodel Caffe-like explicit model constructor. C(onfig)Model Installation pip install git+https://github.com/bonlime/cmodel Usage In order to allow usi

1 Feb 18, 2022
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection, CVPR 2021. Installation A Linux pla

Tianning Yuan 269 Dec 21, 2022
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.

Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction

DIDACTS 0 Dec 13, 2021
Mmdet benchmark with python

mmdet_benchmark 本项目是为了研究 mmdet 推断性能瓶颈,并且对其进行优化。 配置与环境 机器配置 CPU:Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz GPU:NVIDIA GeForce RTX 3080 10GB 内存:64G 硬盘:1T

杨培文 (Yang Peiwen) 24 May 21, 2022
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data

JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala

LvB 12 Jan 01, 2023
This repository provides a basic implementation of our GCPR 2021 paper "Learning Conditional Invariance through Cycle Consistency"

Learning Conditional Invariance through Cycle Consistency This repository provides a basic TensorFlow 1 implementation of the proposed model in our GC

BMDA - University of Basel 1 Nov 04, 2022
Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.

[TensorFlow] Protein Interface Prediction using Graph Convolutional Networks Unofficial TensorFlow implementation of Protein Interface Prediction usin

YeongHyeon Park 9 Oct 25, 2022
QAT(quantize aware training) for classification with MQBench

MQBench Quantization Aware Training with PyTorch I am using MQBench(Model Quantization Benchmark)(http://mqbench.tech/) to quantize the model for depl

Ling Zhang 29 Nov 18, 2022
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning

Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:

Avnika Mehta 1 Jan 27, 2022
AI virtual gym is an AI program which can be used to exercise and can be used to see if we are doing the exercises

AI virtual gym is an AI program which can be used to exercise and can be used to see if we are doing the exercises

4 Feb 13, 2022
Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

PLOME:Pre-training with Misspelled Knowledge for Chinese Spelling Correction (ACL2021) This repository provides the code and data of the work in ACL20

197 Nov 26, 2022
This is the official pytorch implementation of the BoxEL for the description logic EL++

BoxEL: Box EL++ Embedding This is the official pytorch implementation of the BoxEL for the description logic EL++. BoxEL++ is a geometric approach bas

1 Nov 03, 2022
The original implementation of TNDM used in the NeurIPS 2021 paper (no longer being updated)

TNDM - Targeted Neural Dynamical Modeling Note: This code is no longer being updated. The official re-implementation can be found at: https://github.c

1 Jul 21, 2022
Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022

MetaMorph: Learning Universal Controllers with Transformers This is the code for the paper MetaMorph: Learning Universal Controllers with Transformers

Agrim Gupta 50 Jan 03, 2023
Meta-learning for NLP

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Code for training the meta-learning models and fine-tuning on downstr

IESL 43 Nov 08, 2022
CS550 Machine Learning course project on CNN Detection.

CNN Detection (CS550 Machine Learning Project) Team Members (Tensor) : Yadava Kishore Chodipilli (11940310) Thashmitha BS (11941250) This is a work do

yaadava_kishore 2 Jan 30, 2022
A new GCN model for Point Cloud Analyse

Pytorch Implementation of PointNet and PointNet++ This repo is implementation for VA-GCN in pytorch. Classification (ModelNet10/40) Data Preparation D

12 Feb 02, 2022
An implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation

Hierarchical GAN for large dimensional financial market data Implementation This repository is an implementation of the [Hierarchical (Sig-Wasserstein

11 Nov 29, 2022
Video Matting via Consistency-Regularized Graph Neural Networks

Video Matting via Consistency-Regularized Graph Neural Networks Project Page | Real Data | Paper Installation Our code has been tested on Python 3.7,

41 Dec 26, 2022
Code for intrusion detection system (IDS) development using CNN models and transfer learning

Intrusion-Detection-System-Using-CNN-and-Transfer-Learning This is the code for the paper entitled "A Transfer Learning and Optimized CNN Based Intrus

Western OC2 Lab 38 Dec 12, 2022