use candle::{DType, IndexOp, Result, Tensor, D}; use candle_nn::{layer_norm, LayerNorm, Linear, Module, VarBuilder}; use crate::model_image_encoder::ImageEncoderViT; use crate::model_mask_decoder::MaskDecoder; use crate::model_prompt_encoder::PromptEncoder; #[derive(Debug)] pub struct Sam { image_encoder: ImageEncoderViT, prompt_encoder: PromptEncoder, mask_decoder: MaskDecoder, pixel_mean: Tensor, pixel_std: Tensor, } impl Sam { pub fn new( encoder_embed_dim: usize, encoder_depth: usize, encoder_num_heads: usize, encoder_global_attn_indexes: &[usize], vb: VarBuilder, ) -> Result { const PROMPT_EMBED_DIM: usize = 256; const IMAGE_SIZE: usize = 1024; const VIT_PATCH_SIZE: usize = 16; let image_embedding_size = IMAGE_SIZE / VIT_PATCH_SIZE; let image_encoder = ImageEncoderViT::new( IMAGE_SIZE, VIT_PATCH_SIZE, 3, encoder_embed_dim, encoder_depth, encoder_num_heads, PROMPT_EMBED_DIM, /* qkv_bias */ true, /* use_rel_pos */ true, /* use_abs_pos */ true, /* window_size */ 14, /* global_attn_indexes */ encoder_global_attn_indexes, vb.pp("image_encoder"), )?; let prompt_encoder = PromptEncoder::new( PROMPT_EMBED_DIM, (image_embedding_size, image_embedding_size), (IMAGE_SIZE, IMAGE_SIZE), 16, vb.pp("prompt_encoder"), )?; let mask_decoder = MaskDecoder::new( PROMPT_EMBED_DIM, /* num_multitask_outputs */ 3, /* iou_head_depth */ 3, /* iou_head_hidden_dim */ 256, vb.pp("mask_decoder"), )?; let pixel_mean = Tensor::new(&[123.675f32, 116.28, 103.53], vb.device())?.reshape((3, 1, 1))?; let pixel_std = Tensor::new(&[58.395f32, 57.12, 57.375], vb.device())?.reshape((3, 1, 1))?; Ok(Self { image_encoder, prompt_encoder, mask_decoder, pixel_std, pixel_mean, }) } }