All Projects → PoseAIChallenger → mxnet_pose_for_AI_challenger

PoseAIChallenger / mxnet_pose_for_AI_challenger

Licence: other
Implementation of "Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields" for AI challenger keypoint competition

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to mxnet pose for AI challenger

keras cpn
Cascaded Pyramid Network (CPN) based on keras (tensorflow backend)
Stars: ✭ 20 (-42.86%)
Mutual labels:  humanpose
xtcocoapi
Extended COCO-API
Stars: ✭ 49 (+40%)
Mutual labels:  aichallenger

Implementation of "Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields" for AI challenger keypoint competition

Train demo

  1. install cython package
./cython/rebuild.sh

  1. Generate intermediate files

change folder name and json name in pose_io/parse_label.py

path1 = '/data/guest_users/liangdong/liangdong/practice_demo/AIchallenger/keypoint_validation_annotations_20170911.json' 
trainimagepath = '/data/guest_users/liangdong/liangdong/practice_demo/AIchallenger/validation_image/keypoint_validation_images_20170911/'
python pose_io/parse_label.py 
  1. Train
python TrainWeight.py

You can download mxnet model and parameters for vgg19 from here

Cite paper Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

@article{cao2016realtime,
  title={Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
  author={Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
  journal={arXiv preprint arXiv:1611.08050},
  year={2016}
  }

Other implementations of Realtime Multi-Person 2D Pose Estimation

Original caffe training model

Original data preparation and demo

Pytorch

keras

mxnet

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].