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path: root/candle-examples/examples/segment-anything/model_sam.rs
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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<Self> {
        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,
        })
    }
}