lightweight-human-pose-estimation.pytorch
The project enhances the OpenPose algorithm for effective 2D multi-person pose estimation on CPU, maintaining accuracy. It employs a streamlined model to identify 18 keypoints per individual, achieving 40% AP on the COCO 2017 validation set. The repository includes essential code for training, validation, and conversion to OpenVINO format, with C++ and Python demo support, catering to developers seeking efficient pose estimation in limited-resource settings.
