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

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

From a body shape, infer the anatomic skeleton.

Style transfer between images was performed using the VGG19 model

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Optimizing synthesizer parameters using gradient approximation

A Simple Key-Value Data-store written in Python

This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation).

A large-scale video dataset for the training and evaluation of 3D human pose estimation models

Code for ACL2021 paper Consistency Regularization for Cross-Lingual Fine-Tuning.

Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'

a practicable framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)

Instant-nerf-pytorch - NeRF trained SUPER FAST in pytorch

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

Planner_backend - Academic planner application designed for students and counselors.

Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

Using LSTM to detect spoofing attacks in an Air-Ground network

Awesome Human Pose Estimation

Official page of Struct-MDC (RA-L'22 with IROS'22 option); Depth completion from Visual-SLAM using point & line features

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution