o oi<@sjddlmZddlmZmZddlmZddlmZm Z ddl m Z ddl mZdgZGdddeZd S) ) annotations)OptionalUnion)grayscale_to_rgb)Tensortensor)PILImage)HFONNXComunnityModelDepthEstimationcsVeZdZUdZded<dfdd Z ddddZ dd ddZZS)!r depth_estimationstrnameimagesUnion[Tensor, list[Tensor]]returncstt|ttfrfdd|D}fddt||D}|St|d}t||j |j d} ||S)aDetect objects in a given list of images. Args: images: If list of RGB images. Each image is a Tensor with shape :math:`(3, H, W)`. If Tensor, a Tensor with shape :math:`(B, 3, H, W)`. Returns: list of detections found in each image. For item in a batch, shape is :math:`(D, 6)`, where :math:`D` is the number of detections in the given image, :math:`6` represents class id, score, and `xywh` bounding box. cs,g|]}tt|ddqS)Nr)superr __call__cpunumpy).0image) __class__selfW/home/ubuntu/.local/lib/python3.10/site-packages/kornia/models/depth_estimation/base.py 4s,z,DepthEstimation.__call__..c s*g|]\}}t||j|jd|qS)devicedtype) resize_backrrr)rresultrrrrr5srr) isinstancelisttupleziprrrrrrrr)rrresultsr rr!rr!s   zDepthEstimation.__call__NtorchrelativePr depth_maps%Optional[Union[Tensor, list[Tensor]]] output_type depth_type max_depthint.Union[Tensor, list[Tensor], list[Image.Image]]cCsz|dur||}g}|D]%}|dkr||}n|dkr"||}ntd|d|t|q |j||t|tdS)a\Draw the segmentation results. Args: images: input tensor. depth_maps: estimated depths. output_type: type of the output. depth_type: 'metric' or 'relative' depth. max_depth: maximum depth value. Only valid for metric depth. Returns: output tensor. Nmetricr)zUnsupported depth type `z`.)is_batch)max ValueErrorappendr_tensor_to_typer"r)rrr+r-r.r/output depth_maprrr visualize?s zDepthEstimation.visualize directory Optional[str]NonecCs8|j|||||d}|j||dd|j||dddS)aSave the segmentation results. Args: images: input tensor. depth_maps: estimated depths. output_type: type of the output. depth_type: 'metric' or 'relative' depth. max_depth: maximum depth value. Only valid for metric depth. directory: where to store outputs. Returns: output tensor. )r.r/_src)suffix_depthN)r: _save_outputs)rrr+r;r-r.r/outputsrrrsavebszDepthEstimation.save)rrrr)Nr(r)r*) rrr+r,r-r r.r r/r0rr1)NNr(r)r*)rrr+r,r;r<r-r r.r r/r0rr=) __name__ __module__ __qualname__r __annotations__rr:rC __classcell__rrr'rr s ! &N) __future__rtypingrrkornia.color.grayr kornia.corerrkornia.core.externalrImagekornia.models._hf_modelsr __all__r rrrrs