o oiY @s<ddlmZddlmZddlmZdgZGdddZdS))Optional)HFONNXComunnityModelLoader)DepthEstimationDepthAnythingONNXBuilderc @s2eZdZe d dededeedefdd ZdS) rdepth-anything-v2-smallmodelN model_name model_type cache_dirreturncCs`|dvr t|dt|||d}|jddddd}|jd d }t|||d |d S) aExport a DepthAnything model to an ONNX model file. Args: model_name: The name of the model to be loaded. Valid model names include: - `depth-anything-v2-small` - `depth-anything-v2-base` - `depth-anything-v2-large` model_type: The type of the model to be loaded. Valid model types include: - `model` - `model_bnb4` - `model_fp16` - `model_int8` - `model_q4` - `model_quantized` - `model_uint8` cache_dir: The directory where the model should be cached. Returns: str: The name of the output ONNX file. .. code-block:: python images = kornia.utils.sample.get_sample_images() model = DepthAnythingONNXBuilder.build() model.save(images) )rzdepth-anything-v2-basezdepth-anything-v2-largez is not a valid model name.)r r Tinputoutput) pixel_valuespredicted_depth)downloadio_name_mappingF)save_) pre_processorname) ValueErrorr load_modelload_preprocessingto_onnxr)r r r loader onnx_modelpreprocra/home/ubuntu/.local/lib/python3.10/site-packages/kornia/models/depth_estimation/depth_anything.pybuilds!zDepthAnythingONNXBuilder.build)rrN)__name__ __module__ __qualname__ staticmethodstrrrr rrrrrsN)typingrkornia.models._hf_modelsrbaser__all__rrrrrs