Another #CVPR2018 paper award: Global Pose Estimation with Attention-based RNNs.
Arxiv: https://arxiv.org/abs/1802.06857
#pose #rnn #dl
Arxiv: https://arxiv.org/abs/1802.06857
#pose #rnn #dl
​​The new ResNet PoseNet model is much more accurate than the MobileNet one (the trade off being size & speed). The model is quantized & 25MB.
Pose estimation model, capable of running on devices
This model is really great for art installations or running on desktops.
Demo (requires camera, will work on desktop): https://storage.googleapis.com/tfjs-models/demos/posenet/camera.html?linkId=69346544
Github: https://github.com/tensorflow/tfjs-models/tree/master/posenet
#tensorflow #tensorflowjs #js #pose #poseestimation #posenet #ResNet #device #ondevice
Pose estimation model, capable of running on devices
This model is really great for art installations or running on desktops.
Demo (requires camera, will work on desktop): https://storage.googleapis.com/tfjs-models/demos/posenet/camera.html?linkId=69346544
Github: https://github.com/tensorflow/tfjs-models/tree/master/posenet
#tensorflow #tensorflowjs #js #pose #poseestimation #posenet #ResNet #device #ondevice