Keypoint Detection
sapiens
English
rawalkhirodkar commited on
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Update model card for Sapiens with architecture details

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+ ---
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+ language: en
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+ license: cc-by-nc-4.0
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+ ---
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+
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+ # Pose-Sapiens-0.3B-Torchscript
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+
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+ ### Model Details
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+ Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions.
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+ Sapiens-0.3B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
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+
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+ - **Developed by:** Meta
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+ - **Model type:** Vision Transformer
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+ - **License:** Creative Commons Attribution-NonCommercial 4.0
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+ - **Task:** pose
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+ - **Format:** torchscript
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+ - **File:** sapiens_0.3b_goliath_best_goliath_AP_575_torchscript.pt2
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+
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+ ### Model Card
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+ - **Image Size:** 1024 x 768 (H x W)
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+ - **Num Parameters:** 0.336 B
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+ - **FLOPs:** 1.242 TFLOPs
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+ - **Patch Size:** 16 x 16
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+ - **Embedding Dimensions:** 1024
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+ - **Num Layers:** 24
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+ - **Num Heads:** 16
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+ - **Feedforward Channels:** 4096
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+
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+ ### More Resources
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+ - **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
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+ - **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)
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+ - **Demo:** [https://huggingface.co/spaces/facebook/sapiens-pose](https://huggingface.co/spaces/facebook/sapiens-pose)
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+ - **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens](https://about.meta.com/realitylabs/codecavatars/sapiens/)
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+ - **Additional Results:** [https://rawalkhirodkar.github.io/sapiens](https://rawalkhirodkar.github.io/sapiens/)
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+ - **HuggingFace Collection:** [https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)
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+
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+ ## Uses
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+ Pose 0.3B model can be used for estimate 308 keypoints (body + face + hands + feet) on a single image.