+ jN.^RIt^RIHt^RIt^RIHtHt^RIHt!RR]P4t !RR]P4t R#) N)Optional)nnTensor) ImageListcaa]tRt^ toRtR]]P,/tRV3Rllt ]P]P!R43V3RlRllt V3RlRlt V3R lR ltV3R lR ltV3R lRltRtVtV;t#)AnchorGeneratorap Module that generates anchors for a set of feature maps and image sizes. The module supports 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_anchorsc<\SV`4\V^,\\34'g-\;QJd.RV4FNK 5M !RV44p\V^,\\34'gV3\ V4,pWnW n\W4UUu.uFwr4VPW44NK uppVn R#uuppi)rc3&"TFq3xK R#5iN).0ss& j/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torchvision/models/detection/anchor_utils.py +AnchorGenerator.__init__..,s.1$sN) super__init__ isinstancelisttuplelensizes aspect_ratioszipgenerate_anchorsr )selfrrsize aspect_ratio __class__s&&& rrAnchorGenerator.__init__#s %(T5M22E..EE...E-*T5M::*,s5z9M *PSTYPi Pi:L$D ! !$ 5Pi  s/Ccpuc <V^8dQhRS[S[,RS[S[,RS[PRS[P RS[/#)scalesrdtypedevicereturn)rintfloattorchr&r'r)format __classdict__s"r __annotate__AnchorGenerator.__annotate__:sM$$S $E{${{ $  $  $c\P!WVR7p\P!W#VR7p\P!V4p^V, pVR,VR,,PR4pVR,VR,,PR4p\P!V)V)Wx.^R7^, p V P 4#)r&r'dim)NNNN)Nr5)r+ as_tensorsqrtviewstackround) rr%rr&r'h_ratiosw_ratioswshs base_anchorss &&&&& rr AnchorGenerator.generate_anchors:sVD 6R ::m,x<w&/1 7 7 ;w&/1 7 7 ;{{RC"b#51=A !!##r0cN<V^8dQhRS[PRS[P/#)r$r&r')r+r&r')r,r-s"rr.r/Ls'nnekkn5<<nr0cpVPUu.uFq3PWR7NK upVnR#uupi)r2N)r to)rr&r' cell_anchors&&& rset_cell_anchors AnchorGenerator.set_cell_anchorsLs-[_[l[lm[lK^^%^G[lmms3c0<V^8dQhRS[S[,/#r$r(rr))r,r-s"rr.r/OsQQ$s)Qr0c\VPVP4UUu.uF wr\V4\V4,NK" upp#uuppir )rrrr)rras& rnum_anchors_per_location(AnchorGenerator.num_anchors_per_locationOs=,/ Dr0rcaa]tRt^toRtRV3RlV3Rlllt]P]P!R43V3RlRllt V3RlRlt ]P3V3R lR llt V3R lR lt V3R lRlt RtVtV;t#)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)``. c <V^8dQhRS[S[S[,,RS[RS[RS[S[S[,,RS[S[S[,,RS[/#)r$r min_ratio max_ratior%stepsclip)rr)r*rbool)r,r-s"rr. DefaultBoxGenerator.__annotate__sa>>DI>> > e% > S " >>r0c<\S V`4Ve%\V4\V48wd \R4hWnWPnW`n\V4pVfoV^8d_W2, p\V4U u.uFqW,VR, , ,NK! up VnVPPR4MW#.VnMW@nVPV4Vn R#uup i)Nz3aspect_ratios and steps should have the same lengthr) rrr ValueErrorrrrrur%r[_generate_wh_pairs _wh_pairs) rrrrr%rr num_outputs range_ratiokr s &&&&&&& rrDefaultBoxGenerator.__init__s   ]!3s5z!ARS S*  -(  >Q'3 Z_`kZlmZlUV;?kC>O+PPPZlm  ""3'(4  K00=ns5%C%r"c j<V^8dQhRS[RS[PRS[PRS[S[,/#)r$rr&r'r()r)r+r&r'rr)r,r-s"rr.rs9',{{LQLL fr0c 0.p\V4EFpVPV,p\P!VPV,VPV^,,,4pWf.Ww..pVPV,Fbp \P!V 4p VPV,V ,p VPV,V , p VP W.W..4Kd VP \P!WVR74EK V#)r2) rur%mathr8rextendr[r+r7) rrr&r'rrs_k s_prime_kwh_pairsarsq_arwhs &&&& rr&DefaultBoxGenerator._generate_wh_pairss#% {#A++a.C $++a.4;;q1u3E"EFI Y$:;H((++ " KKNU*KKNU*!! 01 ,   U__X6R S$r0c0<V^8dQhRS[S[,/#rIrJ)r,r-s"rr.rs<<$s)K   -+,.yyA..r0c <V^8dQhRS[/#rI)str)r,r-s"rr.rs  # r0c VPP RVP RVP RVP RVP R2 pV#)z(aspect_ratios=z, clip=z , scales=z, steps=))r rrrr%r)rrs& r__repr__DefaultBoxGenerator.__repr__sX~~&&'(!//0dii[ }tzzl    r0cL<V^8dQhRS[RS[S[,RS[S[,/#rjrm)r,r-s"rr.rs+)4<DQWLr0cVUu.uFq3PRRNK ppVPPRRpV^,PV^,PrvVP WEVR7pVP V4p.p \ P!V^,V^,.VPR7p VPFup Tp \ P!V R,RV R,,, V ,V R,RV R,,,V ,.R4p V PV 4Kw V #uupi) r$Nr)r'rro)r5:Nr$N)r5:r$NNr6) rprqr&r'rrDr+tensorrvrwr[) rrkrlrxrPryr&r'rdboxesx_y_sizer|dboxes_in_images &&& rrDefaultBoxGenerator.forwards!@LM '', M''--bc2 $Q--|A/E/Ev00u0U %((0 <<A 1 >}G[G[\''A+O#ii$U+cOE4J.JJhV$U+cOE4J.JJhV O MM/ *( %NsD;)rrrr%r)g333333?g?NNT)rrrrrrr+rr'rrMrrrrrrrs@@rrrsp">>>6;]][`[g[ghm[n(<< X]WdWd//:  r0r) rtypingrr+rrrkrModulerrr r0rrs9  !{bii{|D"))Dr0