Image-to-3D
Transformers
Safetensors
depth_anything_3
feature-extraction
depth-anything-3
depth-estimation
multi-view-geometry
custom_code
Instructions to use bigshanedogg/DA3-SMALL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/DA3-SMALL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/DA3-SMALL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 515 Bytes
750c421 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | """Depth Anything 3 processor: ``DepthAnything3ImageProcessor`` (the package API's InputProcessor) as its only part."""
from transformers.processing_utils import ProcessorMixin
class DepthAnything3Processor(ProcessorMixin):
attributes = ["image_processor"]
def __init__(self, image_processor=None, **kwargs):
super().__init__(image_processor, **kwargs)
def __call__(self, images=None, **kwargs):
return self.image_processor(images, **kwargs)
__all__ = ["DepthAnything3Processor"]
|