Implementation of Openpose for realtime : Human Pose Estimation https://github.com/ildoonet/tf-openpose https://github.com/ildoonet/tf-openpose/raw/master/etcs/openpose_tx2_mobilenet3.gif This will run on your laptop or embedded devices (even without gpu). It seems to be a good technique to create various application examples. ---- [Call for join on opensource project] I recently re-implemented CMU's openpose which is one of the best model to estimate human pose in realtime with powerful 'GPUs' With that reimplementation, I have made a couple of changes like tuning network architecture. Especially, by using mobilenet's 'Depthwise Separable Convolution', the model can be improved to run realtime even in an low-power embedded device or laptop without a GPU. But I think, there are much room for improvement in speed and accuracy. So I'm finding crews to help this opensource project to research further. Anyone can join via online. --- [Visit Topic](https://discourse.ros.org/t/openpose-implementation-for-mobile-embedded/3031/1) or reply to this email to respond. If you do not want to receive messages from ros-users please use the unsubscribe link below. If you use the one above, you will stop all of ros-users from receiving updates. ______________________________________________________________________________ ros-users mailing list ros-users@lists.ros.org http://lists.ros.org/mailman/listinfo/ros-users Unsubscribe: