o V hS.@sdddlZddlmZmZddlZddlmZmZddlmZGdddej Z Gdd d ej Z dS) N)ListOptional)nnTensor) ImageListc seZdZdZdeejiZ  dfdd Zej e dfdee d ee d ej d ej d ef d dZd ej d ej fddZd ee fddZdeee deeed eefddZdedeed eefddZZS)AnchorGeneratora Module that generates anchors for a set of feature maps and image sizes. The module support computing anchors at multiple sizes and aspect ratios per feature map. This module assumes aspect ratio = height / width for each anchor. sizes and aspect_ratios should have the same number of elements, and it should correspond to the number of feature maps. sizes[i] and aspect_ratios[i] can have an arbitrary number of elements, and AnchorGenerator will output a set of sizes[i] * aspect_ratios[i] anchors per spatial location for feature map i. Args: sizes (Tuple[Tuple[int]]): aspect_ratios (Tuple[Tuple[float]]): cell_anchors)i)??g@csxtt|dttfstdd|D}t|dttfs'|ft|}|_|_fddt||D_ dS)Nrcss|]}|fVqdS)N).0srr]/var/www/vscode/kcb/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py ,sz+AnchorGenerator.__init__..csg|] \}}||qSr)generate_anchors)rsize aspect_ratioselfrr 2sz,AnchorGenerator.__init__..) super__init__ isinstancelisttuplelensizes aspect_ratioszipr )rr!r" __class__rrr#s   zAnchorGenerator.__init__cpuscalesr"dtypedevicereturnc Cstj|||d}tj|||d}t|}d|}|dddf|dddfd}|dddf|dddfd}tj| | ||gddd} | S)Nr(r)rdim)torch as_tensorsqrtviewstackround) rr'r"r(r)h_ratiosw_ratioswshs base_anchorsrrrr:s &&z AnchorGenerator.generate_anchorscsfdd|jD|_dS)Ncsg|] }|jdqS)r+)to)r cell_anchorr)r(rrrMz4AnchorGenerator.set_cell_anchors..)r )rr(r)rr=rset_cell_anchorsLsz AnchorGenerator.set_cell_anchorscCsddt|j|jDS)NcSs g|] \}}t|t|qSrr )rrarrrrP z.)r#r!r"rrrrnum_anchors_per_locationOsz(AnchorGenerator.num_anchors_per_location grid_sizesstridesc Csg}|j}t|dudtt|t|kot|kndt|||D]\\}}}|\}} |\} } |j} tjd| tj| d| } tjd|tj| d| }tj|| dd\}}| d}| d}tj ||||fdd }| | ddd | ddd  dd q)|S) Nzcell_anchors should not be NonezAnchors should be Tuple[Tuple[int]] because each feature map could potentially have different sizes and aspect ratios. There needs to be a match between the number of feature maps passed and the number of sizes / aspect ratios specified.rr+ijindexingr,rr-) r r0_assertr r#r)arangeint32meshgridreshaper4appendr3)rrDrEanchorsr rstrider: grid_height grid_width stride_height stride_widthr)shifts_xshifts_yshift_yshift_xshiftsrrr grid_anchorsTs&"  ,zAnchorGenerator.grid_anchors image_list feature_mapsc sdd|D}|jjdd|dj|dj}fdd|D}|||||}g}tt|jD]}dd|D} | | q9dd|D}|S)NcSg|] }|jddqSNshaper feature_maprrrrtr>z+AnchorGenerator.forward..r`rcsTg|]&}tjdtjdd|dtjdtjdd|dgqS)rr+rr)r0emptyint64fill_)rgr) image_sizerrrws ""cSsg|]}|qSrr)ranchors_per_feature_maprrrrscSsg|]}t|qSr)r0cat)ranchors_per_imagerrrrs) tensorsrbr(r)r?r[ranger image_sizesrO) rr\r]rDr(rEanchors_over_all_feature_mapsrP_anchors_in_imagerrirforwardss    zAnchorGenerator.forward)r r )__name__ __module__ __qualname____doc__rr0r__annotations__rfloat32r)intfloatr(rr?rCr[rrt __classcell__rrr$rr s0  *&rc seZdZdZ     d!deeededed eeed eeed ef fd d Z e j e dfdede j de j deefddZdeefddZe j fdeeedeede j defddZdefddZdedeedeefdd ZZS)"DefaultBoxGeneratora This module generates the default boxes of SSD for a set of feature maps and image sizes. Args: aspect_ratios (List[List[int]]): A list with all the aspect ratios used in each feature map. min_ratio (float): The minimum scale :math:` ext{s}_{ ext{min}}` of the default boxes used in the estimation of the scales of each feature map. It is used only if the ``scales`` parameter is not provided. max_ratio (float): The maximum scale :math:` ext{s}_{ ext{max}}` of the default boxes used in the estimation of the scales of each feature map. It is used only if the ``scales`` parameter is not provided. scales (List[float]], optional): The scales of the default boxes. If not provided it will be estimated using the ``min_ratio`` and ``max_ratio`` parameters. steps (List[int]], optional): It's a hyper-parameter that affects the tiling of default boxes. If not provided it will be estimated from the data. clip (bool): Whether the standardized values of default boxes should be clipped between 0 and 1. The clipping is applied while the boxes are encoded in format ``(cx, cy, w, h)``. 333333??NTr" min_ratio max_ratior'stepsclipcst|durt|t|krtd||_||_||_t||durIdkrC|fddtD|_|j dn |g|_n||_| |_ dS)Nz3aspect_ratios and steps should have the same lengthrcs g|] }|dqS)rr)rkr num_outputs range_ratiorrrrBz0DefaultBoxGenerator.__init__..r) rrr ValueErrorr"rrror'rO_generate_wh_pairs _wh_pairs)rr"rrr'rrr$rrrs  zDefaultBoxGenerator.__init__r&rr(r)r*c Csg}t|D]O}|j|}t|j||j|d}||g||gg}|j|D] } t| } |j|| } |j|| } || | g| | ggq)|tj|||dq|S)Nrr+) ror'mathr2r"extendrOr0r1) rrr(r)rrs_k s_prime_kwh_pairsarsq_arwhrrrrs   z&DefaultBoxGenerator._generate_wh_pairscCsdd|jDS)NcSsg|] }ddt|qS)r/r@)rrrrrrsz@DefaultBoxGenerator.num_anchors_per_location..)r"rrrrrCsz,DefaultBoxGenerator.num_anchors_per_locationrDrjcCsDg}t|D]\}}|jdur"|d|j|}|d|j|}n|\}}td|dd|j|d} td|dd|j|d} tj| | dd\} } | d} | d} tj| | ft|j |dddd } |j r{|j |j ddd n|j |}| |d|dd}tj | |fdd}||qtj |ddS) Nrrrr(rFrGr,r-r/)minmax) enumeraterr0rKr;rMrNr4r rrclamprepeatrlrO)rrDrjr( default_boxesrf_kx_f_ky_f_krVrWrXrYrZ_wh_pairr default_boxrrr_grid_default_boxess"     ($ z'DefaultBoxGenerator._grid_default_boxesc Cs2|jjd|jd|jd|jd|jd }|S)Nz(aspect_ratios=z, clip=z , scales=z, steps=))r%rur"rr'r)rrrrr__repr__s zDefaultBoxGenerator.__repr__r\r]c Csdd|D}|jjdd}|dj|dj}}|j|||d}||}g}tj|d|dg|jd} |jD]=} |} t | ddddfd | ddddf| | ddddfd | ddddf| gd } | | q:|S) NcSr^r_rarcrrrrr>z/DefaultBoxGenerator.forward..r`rrr)r)r/rr,) rnrbr(r)rr;r0tensorrprlrO) rr\r]rDrjr(r)rdboxesx_y_sizerrdboxes_in_imagerrrrts"  .. zDefaultBoxGenerator.forward)rrNNT)rurvrwrxrr{r|rboolrr0rzr)r(rrrCrstrrrrtr}rrr$rr~sV       & r~) rtypingrrr0rrr\rModulerr~rrrrs ~