qyi~1>SrSSKJr SSKJr SSKJr SSKJrJ r \"SS 9\"S S \555r \"SS 9\"S S \555r \"SS 9\"SS\555r \"SS 9\"SS\555r \"SS 9\"SS\555r/SQrg)zSAM2 model configuration)strict)PreTrainedConfig)auto_docstring)CONFIG_MAPPING AutoConfigzfacebook/sam2.1-hiera-tiny) checkpointc^\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'S r \\ \-S -\ S 'S r\\ \-S -\ S 'S r\\ \-S -\ S'S r\\ \-S -\ S'S r\\ \-S -\ S'S r\ \S -\ S'S r\\ S'S r\ \S -\ S'S r\ \S -\ S'S r\ \S -\ S'S r\ \S -\ S'S r\ \S -\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'U4S jrS!r U=r!$)"Sam2HieraDetConfiga patch_kernel_size (`list[int]`, *optional*, defaults to `[7, 7]`): The kernel size of the patch. patch_stride (`list[int]`, *optional*, defaults to `[4, 4]`): The stride of the patch. patch_padding (`list[int]`, *optional*, defaults to `[3, 3]`): The padding of the patch. query_stride (`list[int]`, *optional*, defaults to `[2, 2]`): The downsample stride between stages. window_positional_embedding_background_size (`list[int]`, *optional*, defaults to `[7, 7]`): The window size per stage when not using global attention. num_query_pool_stages (`int`, *optional*, defaults to 3): The number of query pool stages. blocks_per_stage (`list[int]`, *optional*, defaults to `[1, 2, 7, 2]`): The number of blocks per stage. embed_dim_per_stage (`list[int]`, *optional*, defaults to `[96, 192, 384, 768]`): The embedding dimension per stage. num_attention_heads_per_stage (`list[int]`, *optional*, defaults to `[1, 2, 4, 8]`): The number of attention heads per stage. window_size_per_stage (`list[int]`, *optional*, defaults to `[8, 4, 14, 7]`): The window size per stage. global_attention_blocks (`list[int]`, *optional*, defaults to `[5, 7, 9]`): The blocks where global attention is used. backbone_configsam2_hiera_det_model` hidden_sizenum_attention_headsr num_channelsN image_sizepatch_kernel_size patch_stride patch_padding query_stride+window_positional_embedding_background_sizenum_query_pool_stagesblocks_per_stageembed_dim_per_stagenum_attention_heads_per_stagewindow_size_per_stageglobal_attention_blocksg@ mlp_ratiogelu hidden_actư>layer_norm_eps{Gz?initializer_rangec >URb UROSS/UlURb UROSS/UlURb UROSS/UlURb UROSS/UlURb UROSS/UlUR b UR OSS/UlUR b UR O/SQUlURb URO/SQUlURb URO/SQUlURb URO/S QUl URb URO/S QUl [TU]0"S 0UD6 g) Nrr)rrr*r)r)rrr+)r/r+r*)r* ) rrrrrrrrrrr super __post_init__selfkwargs __class__s h/home/mande/repo/quber/.venv/lib/python3.13/site-packages/transformers/models/sam2/configuration_sam2.pyr5 Sam2HieraDetConfig.__post_init__Js-1__-H$//tUYl;?;Q;Q;]!7!7deghci151B1B1ND--UVXYTZ373E3E3QT//XY[\W]151B1B1ND--UVXYTZ??K  < <Q 8 :>9N9N9Z 5 5`l(,(@(@(LD $ $Re  372T2T2`D . .fr *+/*D*D*PD & &Vc "-1,H,H,TD ( (Zc $ '') rrr rrrrrrrr)"__name__ __module__ __qualname____firstlineno____doc__base_config_key model_typerint__annotations__rrrlistrrrrrrrrrrr r!floatr#strr%r'r5__static_attributes__ __classcell__r9s@r:r r s]2(O'JK  L#)-Jd3i$&-04sT#Y-4+/L#S /D(/,0M3c?T)0+/L#S /D(/DH/cT1AH!"3")-d3i$&-,0cT)06:!49t#3:.249t+204T#Y-4IuJ NE #u#((r<r c^\rSrSr%SrSrSrS\0rSr \ \ -S-\ S'Sr \\S-\ S'Sr\S-\ S'S r\\ S 'S r\\ S 'S r\\ S 'Sr\\ S'Sr\\S-\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'U4SjrSrU=r$)Sam2VisionConfigea backbone_channel_list (`List[int]`, *optional*, defaults to `[768, 384, 192, 96]`): The list of channel dimensions for the backbone. backbone_feature_sizes (`List[List[int]]`, *optional*, defaults to `[[256, 256], [128, 128], [64, 64]]`): The spatial sizes of the feature maps from the backbone. fpn_hidden_size (`int`, *optional*, defaults to 256): The hidden dimension of the FPN. fpn_kernel_size (`int`, *optional*, defaults to 1): The kernel size for the convolutions in the neck. fpn_stride (`int`, *optional*, defaults to 1): The stride for the convolutions in the neck. fpn_padding (`int`, *optional*, defaults to 0): The padding for the convolutions in the neck. fpn_top_down_levels (`List[int]`, *optional*, defaults to `[2, 3]`): The levels for the top-down FPN connections. num_feature_levels (`int`, *optional*, defaults to 3): The number of feature levels from the FPN to use. vision_configsam2_vision_modelrNbackbone_channel_listbackbone_feature_sizesfpn_hidden_sizerfpn_kernel_size fpn_strider fpn_paddingfpn_top_down_levelsrnum_feature_levelsr"r#r$r%r&r'c >URc/SQO URUlURc SS/SS/SS//O URUlURcSS/O URUl[UR[ 5(aUURR SS5URS'[URS"S 0URD6UlOURc[5Ul[TU]("S 0UD6 g) N)r.r-r,rrS@rrrCrr3) rQrRrX isinstancerdictgetrr r4r5r6s r:r5Sam2VisionConfig.__post_init__s#'#=#=#E 4KeKe "372M2M2Uc3Z#sb"X .[_[v[v #.2-E-E-MAq6SWSkSk d**D 1 1151E1E1I1I,Xn1oD  .#1$2F2F|2T#U#mX\XlXl#mD  ! ! )#5#7D  ''r<)rQrrRrX)r=r>r?r@rArBrCr sub_configsrr^rrErQrFrDrRrTrUrVrWrXrYr#rHr%rGr'r5rIrJrKs@r:rMrMes&&O$J:K7;OT,,t3:.249t+2*.D4K.OSOSJK,0cT)0J NE #u#((r<rMc\rSrSr%SrSrSr\\S'Sr \\ \-\ \\4-\S'Sr \\ \-\ \\4-\S 'Sr \\S 'S r\\S 'S r\\S'Sr\\S'Sr\\S'Srg)Sam2PromptEncoderConfiga= mask_input_channels (`int`, *optional*, defaults to 16): The number of channels to be fed to the `MaskDecoder` module. num_point_embeddings (`int`, *optional*, defaults to 4): The number of point embeddings to be used. scale (`float`, *optional*, defaults to 1): The scale factor for the prompt encoder. prompt_encoder_configrSrr)r patch_sizemask_input_channelsr+num_point_embeddingsr"r#r$r%rscaler3N)r=r>r?r@rArBrrDrErrFtuplergrhrir#rHr%rGrjrIr3r<r:rcrcs.OK48Jd3i%S/1846Jd3i%S/16!! !#!J NE E3Nr<rcc\rSrSr%SrSrSr\\S'Sr \ \S'Sr \\S 'S r \\S 'S r \\S 'S r\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'Srg)Sam2MaskDecoderConfigam mlp_dim (`int`, *optional*, defaults to 2048): The dimension of the MLP in the two-way transformer. attention_downsample_rate (`int`, *optional*, defaults to 2): The downsample rate for the attention layers. num_multimask_outputs (`int`, *optional*, defaults to 3): The number of multimask outputs. iou_head_depth (`int`, *optional*, defaults to 3): The depth of the IoU head. iou_head_hidden_dim (`int`, *optional*, defaults to 256): The hidden dimension of the IoU head. dynamic_multimask_via_stability (`bool`, *optional*, defaults to `True`): Whether to use dynamic multimask via stability. dynamic_multimask_stability_delta (`float`, *optional*, defaults to 0.05): The stability delta for the dynamic multimask. dynamic_multimask_stability_thresh (`float`, *optional*, defaults to 0.98): The stability threshold for the dynamic multimask. mask_decoder_configrSrr"r#imlp_dimrnum_hidden_layersr/rattention_downsample_raternum_multimask_outputsiou_head_depthiou_head_hidden_dimTdynamic_multimask_via_stabilityg?!dynamic_multimask_stability_deltag\(\?"dynamic_multimask_stability_threshr3N)r=r>r?r@rArBrrDrEr#rHrprqrrrrsrtrurvboolrwrGrxrIr3r<r:rmrms&,OKJGSs  %&s&!"3"NC"",0#T0/3%u304&4r<rmc^\rSrSr%SrSr\\\S.r Sr \ \ -S-\ S'Sr\ \ -S-\ S'Sr\ \ -S-\ S'S r\\ S 'U4S jrS rU=r$) Sam2Configa prompt_encoder_config (Union[`dict`, `Sam2PromptEncoderConfig`], *optional*): Dictionary of configuration options used to initialize [`Sam2PromptEncoderConfig`]. mask_decoder_config (Union[`dict`, `Sam2MaskDecoderConfig`], *optional*): Dictionary of configuration options used to initialize [`Sam2MaskDecoderConfig`]. Example: ```python >>> from transformers import ( ... Sam2VisionConfig, ... Sam2PromptEncoderConfig, ... Sam2MaskDecoderConfig, ... Sam2Model, ... ) >>> # Initializing a Sam2Config with `"facebook/sam2.1_hiera_tiny"` style configuration >>> configuration = Sam2Config() >>> # Initializing a Sam2Model (with random weights) from the `"facebook/sam2.1_hiera_tiny"` style configuration >>> model = Sam2Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a Sam2Config from a Sam2VisionConfig, Sam2PromptEncoderConfig, and Sam2MaskDecoderConfig >>> # Initializing SAM2 vision encoder, memory attention, and memory encoder configurations >>> vision_config = Sam2VisionConfig() >>> prompt_encoder_config = Sam2PromptEncoderConfig() >>> mask_decoder_config = Sam2MaskDecoderConfig() >>> config = Sam2Config(vision_config, prompt_encoder_config, mask_decoder_config) ```sam2)rOreroNrOreror&r'c >[UR[5(aUURRSS5URS'[URS"S0URD6UlO URc[S"5Ul[UR [5(a[ S0UR D6UlOUR c[ 5Ul[UR[5(a[S0URD6UlOURc[5Ul[TU]("S0UD6 g)NrCrPr3) r]rOr^r_rrercrormr4r5r6s r:r5Sam2Config.__post_init__s d(($ / //3/A/A/E/ElTg/hD  | ,!/0B0B<0P!Q!gTXTfTf!gD     '!/0C!D!FD  d00$ 7 7)@)^4C]C])^D &  ' ' /)@)BD & d.. 5 5'<'Xt?W?W'XD $  % % -'<'>D $ ''r<)rorerO)r=r>r?r@rArCr rcrmrarOr^rrEreror'rGr5rIrJrKs@r:r{r{sx! FJ#!84K 59M4**T18<@4"22T9@:> 0047>#u#((r<r{)r{r rMrcrmN)rAhuggingface_hub.dataclassesrconfiguration_utilsrutilsrautorr r rMrcrmr{__all__r3r<r:rs.3#-78I()I(9I(X786('6(96(r78.9,78!5,!59!5H78A(!A(9A(H r<