a yfy/ @s0ddlmZddlZddlmZddlmZddlmZm Z m Z m Z m Z m Z ddlmZmZddlmZmZdd lmZdd lmZd+d d Zd,d dZd-ddZd.ddZd/ddZd0ddZd1ddZd2ddZd3ddZ dgdd gd!gd"d#d#ggd$dfd%d&Z!eeeeeeeed'Z"d4d)d*Z#dS)5)partialN)attempt_download_asset) MaskDecoder)FpnNeckHiera ImageEncoderImageEncoderViT MemoryEncoder PromptEncoder)MemoryAttentionMemoryAttentionLayer) SAM2ModelSAMModel)TinyViT)TwoWayTransformercCstdddgd|dS)zaBuilds and returns a Segment Anything Model (SAM) h-size model with specified encoder parameters. encoder_embed_dim encoder_depthencoder_num_headsencoder_global_attn_indexes checkpoint _build_samrr#X/var/www/html/django/DPS/env/lib/python3.9/site-packages/ultralytics/models/sam/build.pybuild_sam_vit_hsr%cCstdddgd|dS)zaBuilds and returns a Segment Anything Model (SAM) l-size model with specified encoder parameters.r) rrr r"r#r#r$build_sam_vit_l"sr+cCstdddgd|dS)zgConstructs and returns a Segment Anything Model (SAM) with b-size architecture and optional checkpoint. )r(r)rr r"r#r#r$build_sam_vit_b-sr0cCs tgdgdgddd|dS)zaBuilds and returns a Mobile Segment Anything Model (Mobile-SAM) for efficient image segmentation.)@i@)r.r.r.)r.r( NT)rrrr mobile_samrr r"r#r#r$build_mobile_sam8sr8c Cs&tdgddgdgdgd|dS)zlBuilds and returns a Segment Anything Model 2 (SAM2) tiny-size model with specified architecture parameters.`)rr.rr.r)r(r r/r5rr,ir9rencoder_stagesrencoder_global_att_blocksencoder_window_specencoder_backbone_channel_listr _build_sam2r"r#r#r$ build_sam2_tDsrFc Cs&tdgddgdgdgd|dS)zeBuilds and returns a small-size Segment Anything Model (SAM2) with specified architecture parameters.r9)rr.r)r.r)rr6 r;r=r?rDr"r#r#r$ build_sam2_sQsrHc Cs,tdgddgdgdddggd|dS) zQBuilds and returns a SAM2 base-size model with specified architecture parameters.p)r.rrJr.)r-rr;r<)iirI)rr@rrArBencoder_window_spatial_sizerCrrDr"r#r#r$ build_sam2_b^srNc Cs&tdgddgdgdgd|dS)zeBuilds and returns a large-size Segment Anything Model (SAM2) with specified architecture parameters.r.r4$r5r.)r!+r/r5rr/ii@i rOr?rDr"r#r#r$ build_sam2_llsrVFcCsd}d}d}||} |r@tddd|||gddddd ddd d n*t|||d ttjjd d||dd|d|d } t| t|| | f||fddtdt d|ddd|dddgdgdd} |durt |}t |d} t | } Wdn1s0Y| | | | S)aA Builds a Segment Anything Model (SAM) with specified encoder parameters. Args: encoder_embed_dim (int | List[int]): Embedding dimension for the encoder. encoder_depth (int | List[int]): Depth of the encoder. encoder_num_heads (int | List[int]): Number of attention heads in the encoder. encoder_global_attn_indexes (List[int] | None): Indexes for global attention in the encoder. checkpoint (str | None): Path to the model checkpoint file. mobile_sam (bool): Whether to build a Mobile-SAM model. Returns: (SAMModel): A Segment Anything Model instance with the specified architecture. Examples: >>> sam = _build_sam(768, 12, 12, [2, 5, 8, 11]) >>> sam = _build_sam([64, 128, 160, 320], [2, 2, 6, 2], [2, 4, 5, 10], None, mobile_sam=True) r&rrJi)rrr<rg@gFg?)img_sizeZin_chansZ num_classesZ embed_dimsZdepths num_headsZ window_sizes mlp_ratioZ drop_rateZdrop_path_rateZuse_checkpointZmbconv_expand_ratioZlocal_conv_sizeZlayer_lr_decayr5gư>)ZepsTr<) depth embed_dimrXrZZ norm_layerrYZ patch_sizeZqkv_biasZ use_rel_posZglobal_attn_indexesZ window_sizeZ out_chans)r\image_embedding_sizeZinput_image_sizeZ mask_in_chansr.ir/)r[Z embedding_dimZmlp_dimrY)Znum_multimask_outputsZ transformerZtransformer_dimZiou_head_depthZiou_head_hidden_dim)g33333^@gR]@gRY@)g(\2M@g(\L@gL@) image_encoderZprompt_encoderZ mask_decoderZ pixel_meanZ pixel_stdNrb)rr rtorchnnZ LayerNormrr rrropenloadload_state_dicteval)rrrrrr7Zprompt_embed_dim image_sizeZvit_patch_sizer]r^Zsamf state_dictr#r#r$r!ys!   ( r!rrPr.rrUrrTcCstt||||||dtd|ddgdddd}tdd d td } td d } t|| | ddddd d d d d d d d d d d d d ddd dtd dddd} |durt|}t |d} t | d} Wdn1s0Y| | | | S)a Builds and returns a Segment Anything Model 2 (SAM2) with specified architecture parameters. Args: encoder_embed_dim (int): Embedding dimension for the encoder. encoder_stages (List[int]): Number of blocks in each stage of the encoder. encoder_num_heads (int): Number of attention heads in the encoder. encoder_global_att_blocks (List[int]): Indices of global attention blocks in the encoder. encoder_backbone_channel_list (List[int]): Channel dimensions for each level of the encoder backbone. encoder_window_spatial_size (List[int]): Spatial size of the window for position embeddings. encoder_window_spec (List[int]): Window specifications for each stage of the encoder. checkpoint (str | None): Path to the checkpoint file for loading pre-trained weights. Returns: (SAM2Model): A configured and initialized SAM2 model. Examples: >>> sam2_model = _build_sam2(encoder_embed_dim=96, encoder_stages=[1, 2, 7, 2]) >>> sam2_model.eval() )r\rYZstagesZglobal_att_blocksZ!window_pos_embed_bkg_spatial_sizeZ window_specrWr.rJZnearest)d_modelZbackbone_channel_listZfpn_top_down_levelsZfpn_interp_modelr)ZtrunkZneckZscalpTr5)riZpos_enc_at_inputZ num_layerslayerr1)Zout_dimrr&g4@g$rFg?g\(\?)Zdynamic_multimask_via_stabilityZ!dynamic_multimask_stability_deltaZ"dynamic_multimask_stability_thresh)r^memory_attentionmemory_encoderZ num_maskmemrfZsigmoid_scale_for_mem_encZsigmoid_bias_for_mem_encZ$use_mask_input_as_output_without_samZdirectly_add_no_mem_embedZuse_high_res_features_in_samZmultimask_output_in_samZiou_prediction_use_sigmoidZuse_obj_ptrs_in_encoderZadd_tpos_enc_to_obj_ptrsZ"only_obj_ptrs_in_the_past_for_evalZpred_obj_scoresZpred_obj_scores_mlpZfixed_no_obj_ptrZmultimask_output_for_trackingZuse_multimask_token_for_obj_ptrZmultimask_min_pt_numZmultimask_max_pt_numZuse_mlp_for_obj_ptr_projZcompile_image_encoderZsam_mask_decoder_extra_argsNr_model)rrrr r r rdictrrbr`rcrdre)rr@rrArCrMrBrr^rkrlZsam2rgrhr#r#r$rEsr   , rE)zsam_h.ptzsam_l.ptsam_b.ptz mobile_sam.ptz sam2_t.ptz sam2_s.ptz sam2_b.ptz sam2_l.ptrocCsPd}t|}tD]}||rt|}q|sHt|dt||S)a Builds and returns a Segment Anything Model (SAM) based on the provided checkpoint. Args: ckpt (str | Path): Path to the checkpoint file or name of a pre-defined SAM model. Returns: (SAMModel | SAM2Model): A configured and initialized SAM or SAM2 model instance. Raises: FileNotFoundError: If the provided checkpoint is not a supported SAM model. Examples: >>> sam_model = build_sam("sam_b.pt") >>> sam_model = build_sam("path/to/custom_checkpoint.pt") Notes: Supported pre-defined models include: - SAM: 'sam_h.pt', 'sam_l.pt', 'sam_b.pt', 'mobile_sam.pt' - SAM2: 'sam2_t.pt', 'sam2_s.pt', 'sam2_b.pt', 'sam2_l.pt' Nz7 is not a supported SAM model. Available models are: )str sam_model_mapkeysendswithgetFileNotFoundError)ZckptZ model_builderkr#r#r$ build_sam?s   rw)N)N)N)N)N)N)N)N)NF)ro)$ functoolsrr`Zultralytics.utils.downloadsrZmodules.decodersrZmodules.encodersrrrr r r Zmodules.memory_attentionr r Z modules.samrrZmodules.tiny_encoderrZmodules.transformerrr%r+r0r8rFrHrNrVr!rErqrwr#r#r#r$ sL         ` \