DeepPoseKit | a toolkit for pose estimation using deep learning | Machine Learning library

DeepPoseKit is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. DeepPoseKit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

DeepPoseKit is a software toolkit with a high-level API for 2D pose estimation of user-defined keypoints using deep learning—written in Python and built using Tensorflow and Keras. Use DeepPoseKit if you need:. DeepPoseKit is designed with a focus on usability and extensibility, as being able to go from idea to result with the least possible delay is key to doing good research. DeepPoseKit is currently limited to individual pose estimation. If individuals can be easily distinguished visually (i.e., they have differently colored bodies or are marked in some way), then multiple individuals can simply be labeled with separate keypoints (head1, tail1, head2, tail2, etc.). Otherwise DeepPoseKit can be extended to multiple individuals by first localizing, tracking, and cropping individuals with additional software such as idtracker.ai, pinpoint, or Tracktor. Localization (without tracking) can also be achieved with deep learning software like keras-retinanet, the Tensorflow Object Detection API, or MatterPort's Mask R-CNN. Check out our paper to find out more.