Comments (8)
Hi,
The code and pre-trained models for ViTPose have been released!
Please try and enjoy~
If there are any questions, please not hesitate to contact~ 😊
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Subscribing to this thread as I might add the model to HuggingFace Transformers ;)
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Hi,
Thank you for your interest! We have uploaded logs for the ViT-Base, ViT-Large and ViT-Huge models. The code and pre-trained models are in preparation and we are working on exploring more potential of the simple visual transformers for pose estimation. We think the code and models will be released before 1th July.
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Great project. Would like to transport it to NVIDIA new Edge Orin Device.
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Waiting
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@NielsRogge Can I join you in doing so?
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Trying it right now.
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Thank you so much~
Surprisingly open source in advance~
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Related Issues (20)
- Please install mmdet to run the demo. HOT 1
- how to use ViTPose+ in MMPose HOT 1
- The checkpoints of "whole body" are wrong. HOT 5
- Train on custom dataset - number of keypoints HOT 1
- memory usage
- To those who just want to easily inference an image
- Can't run the single machine experiment HOT 2
- Wonder how to run the demo with cuda 11.8
- MS COCO VitPose-S simple config file issue
- APT-36k train valid(test) split
- Support for Selective Person Tracking in Multi-Person Videos
- which config file can train COCO+AIC+MPII dataset?
- Questions about table5 in the paper
- Issue about the padding when building the PatchEmbedding layer HOT 1
- the config about ViTPose small_simple
- where is smpl_mean_params.npz
- Question about parameter "max_num_joints" HOT 1
- Inconsistency in Reported Experimental Results for ViTPose and ViTPose++ Across Papers HOT 2
- Assertion Error During Testing HOT 1
- How to identify occluded hands?
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