Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

Last update: Oct 27, 2022

Overview

Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking
Hau Chu, Jia-Hong Lee, Yao-Chih Lee, Ching-Hsien Hsu, Jia-Da Li, Chu-Song Chen
2021 CVPR B-AMFG Workshop

Note: It's a project of AI^2 Lab. The code will be update in here while there is a new version.

Installation

Python 3.6+
Cuda 9.0
Cudnn 7
gcc 5 & g++ 5 (for Ubuntu 18.04)

$ sudo apt install gcc-5 g++-5
$ sudo ln -s /usr/bin/gcc-6 /usr/local/bin/gcc
$ sudo ln -s /usr/bin/g++-6 /usr/local/bin/g++

Conda Env

$ conda create -n venv python=3.6
$ conda activate venv
$ conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=9.0 -c pytorch
$ pip install tensorflow_gpu==1.9.0
$ pip install -r requirements.txt

$ sudo apt install git

Data preparation

Download datasets:

Campus (http://campar.in.tum.de/Chair/MultiHumanPose)
Shelf (http://campar.in.tum.de/Chair/MultiHumanPose)
CMU Panoptic (https://github.com/CMU-Perceptual-Computing-Lab/panoptic-toolbox)

Dataset's camera_parameter.pickle download

The directory tree should look like below:

${ROOT}
    |-- CatchImage
        |-- CampusSeq1
        |   |-- Camera0
        |   |-- Camera1
        |   |-- Camera2
        |   |-- camera_parameter.pickle
        |   |-- actorsGT.mat
        |-- Shelf
        |   |-- Camera0
        |   |-- ...
        |   |-- Camera4
        |   |-- camera_parameter.pickle
        |   |-- actorsGT.mat
        |-- Panoptic
        |   |-- 160906_pizza1
            |   |-- 00_03 # hdImgs folder of 03 camera
            |   |-- 00_06 # hdImgs folder of 06 camera
            |   |-- ...
            |   |-- camera_parameter.pickle
            |   |-- hdPose_stage1_coco19
            |-- ...
    |-- src

Backend Models

Backend models, which is not our works, are released codes from others. We only did some small modifications to fit the format of our input/output. Put models in {ROOT}/src/backend

YOLOv3
- origin: https://github.com/ZQPei/deep_sort_pytorch
- modification
HRNet
- origin: https://github.com/stefanopini/simple-HRNet
- modification

Run Codes

Demo

$cd src
python -W ignore testmodel.py --dataset CampusSeq1 # For Campus
python -W ignore testmodel.py --dataset Shelf # For Shelf
python -W ignore testmodel.py --dataset Panoptic # For Panoptic (sub-dataset can be modified in config)

Evaluation

$cd src
python -W ignore evalmodel.py --dataset CampusSeq1 
python -W ignore evalmodel.py --dataset Shelf

Campus PCP Score

Bone Group	Actor 0	Actor 1	Actor 2	Average
Head	100.00	100.00	100.00	100.00
Torso	100.00	100.00	100.00	100.00
Upper arms	98.98	100.00	100.00	99.66
Lower arms	92.86	68.78	91.30	84.31
Upper legs	100.00	100.00	100.00	100.00
Lower legs	100.00	100.00	100.00	100.00
Total	98.37	93.76	98.26	96.79

Shelf PCP Score

Bone Group	Actor 0	Actor 1	Actor 2	Average
Head	94.98	100.00	91.30	95.43
Torso	100.00	100.00	100.00	100.00
Upper arms	100.00	100.00	96.27	98.76
Lower arms	98.21	77.03	96.27	90.50
Upper legs	100.00	100.00	100.00	100.00
Lower legs	100.00	100.00	100.00	100.00
Total	99.14	95.41	97.64	97.39

Citation

@InProceedings{Chu_2021_CVPR,
    author    = {Chu, Hau and Lee, Jia-Hong and Lee, Yao-Chih and Hsu, Ching-Hsien and Li, Jia-Da and Chen, Chu-Song},
    title     = {Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month     = {June},
    year      = {2021},
    pages     = {1472-1481}
}

Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

Related tags

Overview

Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

Installation

Data preparation

Backend Models

Run Codes

Demo

Evaluation

Campus PCP Score

Shelf PCP Score

Citation

Owner

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

The official implementation of EIGNN: Efficient Infinite-Depth Graph Neural Networks (NeurIPS 2021)

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

Adversarial Learning for Modeling Human Motion

Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

Marvis is Mastouri's Jarvis version of the AI-powered Python personal assistant.

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

A basic reminder tool written in Python.

Generative code template for PixelBeasts 10k NFT project.

Avatarify Python - Avatars for Zoom, Skype and other video-conferencing apps.

Code for classifying international patents based on the text of their titles/abstracts

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

HyperDict - Self linked dictionary in Python

EfficientNetV2 implementation using PyTorch

FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.

Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation

NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.

TalkingHead-1KH is a talking-head dataset consisting of YouTube videos