This is an official pytorch implementation of Simple Baselines for Pose Estimation and Pose Tracking. This work provides baseline methods that are surprisingly simple and effective, thus helpful for inspiring and evaluating new ideas for the field. State-of-the-art results are achieved on challenging benchmarks. On COCO keypoints valid dataset, our best single model achieves 74.3 of mAP. You can reproduce our results using this repo. All models are provided for research purpose. The code is developed using python 3.6 on Ubuntu 16.04. NVIDIA GPUs ared needed. The code is developed and tested using 4 NVIDIA P100 GPUS cards. Other platform or GPU card are not fully tested.