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  1. .gitattributes +70 -0
  2. README.md +43 -0
  3. sapiens_host/depth/checkpoints/sapiens_0.3b/sapiens_0.3b_render_people_epoch_100.pth +3 -0
  4. sapiens_host/depth/checkpoints/sapiens_0.6b/sapiens_0.6b_render_people_epoch_70.pth +3 -0
  5. sapiens_host/depth/checkpoints/sapiens_1b/sapiens_1b_render_people_epoch_88.pth +3 -0
  6. sapiens_host/depth/checkpoints/sapiens_2b/sapiens_2b_render_people_epoch_25.pth +3 -0
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  9. sapiens_host/normal/checkpoints/sapiens_0.6b/sapiens_0.6b_normal_render_people_epoch_200.pth +3 -0
  10. sapiens_host/normal/checkpoints/sapiens_1b/sapiens_1b_normal_render_people_epoch_115.pth +3 -0
  11. sapiens_host/normal/checkpoints/sapiens_2b/sapiens_2b_normal_render_people_epoch_70.pth +3 -0
  12. sapiens_host/pose/checkpoints/sapiens_1b/sapiens_1b_goliath_best_goliath_AP_640.pth +3 -0
  13. sapiens_host/pretrain/checkpoints/sapiens_0.3b/sapiens_0.3b_epoch_1600_clean.pth +3 -0
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  21. sapiens_lite_host/torchscript/depth/checkpoints/sapiens_0.3b/sapiens_0.3b_render_people_epoch_100_torchscript.pt2 +3 -0
  22. sapiens_lite_host/torchscript/depth/checkpoints/sapiens_0.6b/sapiens_0.6b_render_people_epoch_70_torchscript.pt2 +3 -0
  23. sapiens_lite_host/torchscript/depth/checkpoints/sapiens_1b/sapiens_1b_render_people_epoch_88_torchscript.pt2 +3 -0
  24. sapiens_lite_host/torchscript/depth/checkpoints/sapiens_2b/sapiens_2b_render_people_epoch_25_torchscript.pt2 +3 -0
  25. sapiens_lite_host/torchscript/detector/checkpoints/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth +3 -0
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  27. sapiens_lite_host/torchscript/normal/checkpoints/sapiens_0.6b/sapiens_0.6b_normal_render_people_epoch_200_torchscript.pt2 +3 -0
  28. sapiens_lite_host/torchscript/normal/checkpoints/sapiens_1b/sapiens_1b_normal_render_people_epoch_115_torchscript.pt2 +3 -0
  29. sapiens_lite_host/torchscript/normal/checkpoints/sapiens_2b/sapiens_2b_normal_render_people_epoch_70_torchscript.pt2 +3 -0
  30. sapiens_lite_host/torchscript/pose/checkpoints/sapiens_1b/sapiens_1b_goliath_best_goliath_AP_640_torchscript.pt2 +3 -0
  31. sapiens_lite_host/torchscript/pretrain/checkpoints/sapiens_0.3b/sapiens_0.3b_epoch_1600_torchscript.pt2 +3 -0
  32. sapiens_lite_host/torchscript/pretrain/checkpoints/sapiens_0.6b/sapiens_0.6b_epoch_1600_torchscript.pt2 +3 -0
  33. sapiens_lite_host/torchscript/pretrain/checkpoints/sapiens_1b/sapiens_1b_epoch_173_torchscript.pt2 +3 -0
  34. sapiens_lite_host/torchscript/pretrain/checkpoints/sapiens_2b/sapiens_2b_epoch_660_torchscript.pt2 +3 -0
  35. sapiens_lite_host/torchscript/seg/checkpoints/sapiens_0.3b/sapiens_0.3b_goliath_best_goliath_mIoU_7673_epoch_194_torchscript.pt2 +3 -0
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  38. sapiens_lite_host/torchscript/seg/checkpoints/sapiens_1b/sapiens_1b_seg_foreground_epoch_8_torchscript.pt2 +3 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ ---
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+
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+ # Model Card for Sapiens
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution.\
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+ The pretrained models when finetuned for human-centric vision tasks generalize to in-the-wild conditions.
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+
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+ ## Model Details
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+
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+
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+ ### Model Description
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+
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+ Sapiens, a family of models for four fundamental human-centric vision tasks - 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction.
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+ Our models natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images.
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+ The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
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+ Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion.
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+ Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
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+
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+
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+ - **Developed by:** Meta
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+ - **Model type:** Vision Transformers
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+ - **License:** Creative Commons Attribution-NonCommercial 4.0
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+
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+
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+ ### Model Sources
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** https://github.com/facebookresearch/sapiens
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+ - **Paper:** https://arxiv.org/abs/2408.12569
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+ <!-- - **Demo [optional]:** [More Information Needed] -->
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+
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+ ## Uses
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+ - pose estimation (keypoints 17, keypoints 133, keypoints 308)
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+ - body-part segmentation (28 classes)
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+ - depth estimation
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+ - surface normal estimation
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