o oi@s`ddlmZmZmZmZmZmZddlmZm Z m Z m Z ddl m Z dgZGdddee ZdS))AnyClassVarListOptionalTupleUnion)ModuleTensorrandtensor)ONNXExportMixin BoxFilteringc seZdZUdZgdZeeeed<gdZ eeeed<gdZ eeeed<   dd e e e efd e e e eefd ed dffd d Z dde d e e d e e d e e ee ffddZ ddeede eed e eedfe ffddZZS)r a Filter boxes according to the desired threshold. Args: confidence_threshold: an 0-d scalar that represents the desired threshold. classes_to_keep: a 1-d list of classes to keep. If None, keep all classes. filter_as_zero: whether to filter boxes as zero. )rONNX_DEFAULT_INPUTSHAPEONNX_DEFAULT_OUTPUTSHAPE)rONNX_EXPORT_PSEUDO_SHAPENFconfidence_thresholdclasses_to_keepfilter_as_zeroreturncsht||_d|_d|_|durt|tr|nt||_|dur2t|tr+|p*|nt||_dSdSN)super__init__rrr isinstancer r )selfrrr __class__Q/home/ubuntu/.local/lib/python3.10/site-packages/kornia/models/detection/utils.pyr(s zBoxFiltering.__init__boxescCstd|j|jd}|p|jp|}|dddddf|k}|p!|j}|durC|ddddddf}|ddd}||kjdd}n|dd}||@}|jra||dddddf} | Sg} t |j dD]} || } || } | | }| |qj| S)axFilter boxes according to the desired threshold. To be ONNX-friendly, the inputs for direct forwarding need to be all tensors. Args: boxes: [B, D, 6], where B is the batchsize, D is the number of detections in the image, 6 represent (class_id, confidence_score, x, y, w, h). confidence_threshold: an 0-d scalar that represents the desired threshold. classes_to_keep: a 1-d tensor of classes to keep. If None, keep all classes. Returns: Union[Tensor, List[Tensor]] If `filter_as_zero` is True, return a tensor of shape [D, 6], where D is the total number of detections as input. If `filter_as_zero` is False, return a list of tensors of shape [D, 6], where D is the number of valid detections for each element in the batch. g)devicedtypeNrr)dim) r r#r$rrviewanyboolrrangeshapeappend)rr"rr zero_tensorconfidence_mask class_ids class_mask combined_maskfiltered_boxesfiltered_boxes_listiboxmask valid_boxesr r r!forward;s*   zBoxFiltering.forward input_shape pseudo_shape.cs2tfddt|D}jdur|dfS|S)Ncs6g|]\}}|dkrdurj|n|n|qS)rN)r).0r4r&r:rr r! us$z4BoxFiltering._create_dummy_input..g?)r enumerater)rr9r: pseudo_inputr r<r!_create_dummy_inputqs  z BoxFiltering._create_dummy_input)NNF)NNr)__name__ __module__ __qualname____doc__rrrint__annotations__rrrrr floatr)rr8rrr@ __classcell__r r rr!r sF   7 N)typingrrrrrr kornia.corerr r r kornia.core.mixin.onnxr __all__r r r r r!s