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--- |
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language: en |
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license: cc-by-nc-4.0 |
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pipeline_tag: depth-estimation |
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tags: |
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- sapiens |
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--- |
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# Depth-Sapiens-0.3B-Bfloat16 |
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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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- **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:** depth |
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- **Format:** bfloat16 |
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- **File:** sapiens_0.3b_render_people_epoch_100_bfloat16.pt2 |
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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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### 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-depth](https://huggingface.co/spaces/facebook/sapiens-depth) |
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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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## Uses |
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Depth 0.3B model can be used to estimate relative depth on human images. |
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