| | --- |
| | language: en |
| | license: cc-by-nc-4.0 |
| | pipeline_tag: depth-estimation |
| | tags: |
| | - sapiens |
| | --- |
| | |
| | # Depth-Sapiens-1B-Bfloat16 |
| |
|
| | ### 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-1B 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:** bfloat16 |
| | - **File:** sapiens_1b_render_people_epoch_88_bfloat16.pt2 |
| |
|
| | ### Model Card |
| | - **Image Size:** 1024 x 768 (H x W) |
| | - **Num Parameters:** 1.169 B |
| | - **FLOPs:** 4.647 TFLOPs |
| | - **Patch Size:** 16 x 16 |
| | - **Embedding Dimensions:** 1536 |
| | - **Num Layers:** 40 |
| | - **Num Heads:** 24 |
| | - **Feedforward Channels:** 6144 |
| |
|
| | ### 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 1B model can be used to estimate relative depth on human images. |
| |
|
