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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...
Fuente del modelo
Descripción de la fuente
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. 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.
Fuentes
1 fuenteVerificado 17 ago
Artefactos del modelo
1 artefactosapiens_0.3b_render_people_epoch_100.pth
pth · 1,19 GB · SHA-256 6c61208cb2ce…6549 · Hugging Face
DescargarExtractos de fuentes
2 extractosDepth 0.3B model can be used to estimate relative depth on human images.
--- language: en license: cc-by-nc-4.0 pipeline_tag: depth-estimation tags: - sapiens --- # Depth-Sapiens-0.3B ### Model Details 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. 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. - **Developed by:** Meta - **Model type:** Vision Transformer - **License:** Creative Commons Attribution-NonCommercial 4.0 - **Task:** depth - **Format:** original - **File:** sapiens_0.3b_render_people_epoch_100.pth ### Model Card - **Image Size:** 1024 x 768 (H x W) - **Num Parameters:** 0.336 B - **FLOPs:** 1.242 TFLOPs - **Patch Size:** 16 x 16 - **Embedding Dimensions:** 1024 - **Num Layers:** 24 - **Num Heads:** 16 - **Feedforward Channels:** 4096 ### More Resources - **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens) - **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569) - **Demo:** [https://huggingface.co/spaces/facebook/sapiens-depth](https://huggingface.co/spaces/facebook/sapiens-depth) - **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens](https://about.meta.com/realitylabs/codecavatars/sapiens/) - **Additional Results:** [https://rawalkhirodkar.github.io/sapiens](https://rawalkhirodkar.github.io/sapiens/) - **HuggingFace Collection:** [https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc) ## Uses Depth 0.3B model can be used to estimate relative depth on human images.
Source context: 73 downloads · 0 likes · Pipeline depth-estimation · Library sapiens · Repo facebook/sapiens-depth-0.3b
