This repository provides an official implementation of a CVPR/ECCV paper on human pose estimation using deep learning. It implements a simple but effective baseline method for detecting human body keypoints (such as joints) in images, achieving state-of-the-art results on COCO and MPII benchmarks. The project uses ResNet-based models with deconvolutional layers to predict heatmaps for keypoint locations.