Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported. |
Accurate 2d human and animal pose estimation. Easy to use SOTA ViTPose [Y. Xu et al., 2022] models for fast inference. |
Download vitpose-b-multi-coco.onnx and yolov6m.onnx, then put them in ViTPose-ONNX folder. Run the commands below to start inference. |
easy_ViTPose demo · Restart the runtime (runtime -> restart runtime) to update installed packages versions · Download the models · Run inference. |
26 апр. 2022 г. · ViTPose employs plain and non-hierarchical vision transformers as backbones to extract features for a given person instance and a lightweight decoder for pose ... |
24 авг. 2023 г. · In this tutorial you will learn how to use state-of-the-art pose estimation model ViTPose in combination with model-assisted tools in Supervisely. |
This paper presents ViTPose and ViTPose++ as the simple baseline for body pose estimation. They demonstrate good properties, including simplicity ... |
7 дек. 2022 г. · A novel ViTPose+ model is proposed to deal with heterogeneous body keypoint categories in different types of body pose estimation tasks via knowledge ... |
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