Files
effectcraft/crates/sam2/src/lib.rs
T
Kristian MyramandClaude Sonnet 5.5 e4f4fea0f2 S2.21: memory encoder matches PyTorch
Mask down-sampler, feature fuser and projection, sine position encoding,
occlusion embedding and bfloat16 rounding of stored memories. Max abs error
3.5e-6 on the memory features, 6e-8 on the position encoding.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-30 08:43:30 +01:00

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Rust
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//! SAM 2.1 video object tracker (Hiera backbone) for the Roto Brush.
//!
//! A Rust port of the Hugging Face `transformers` SAM 2 implementation (Apache-2.0; see
//! `NOTICE`). Native only: the crate is empty on wasm32 so L0–L4 still build for the web.
//! Nothing here loads weights unless asked to; weights are never bundled.
//!
//! Modules are added stage by stage, each checked against reference tensors produced by
//! `tools/sam2_reference.py`.
#![cfg(not(target_arch = "wasm32"))]
#![deny(clippy::unwrap_used, clippy::expect_used, clippy::panic, clippy::unimplemented, clippy::todo, clippy::unreachable)]
use std::fmt;
pub mod decoder;
pub mod hiera;
pub mod memory;
pub mod model;
pub mod neck;
pub mod nn;
pub mod prompt;
pub mod weights;
/// Everything that can go wrong in this crate. Never a panic.
#[derive(Debug, Clone, PartialEq)]
pub enum Error {
/// The weights file is missing a tensor, has the wrong shape, or contains non-finite values.
Weights(String),
/// The input (frame size, prompt, frame index) is unusable.
Input(String),
/// The work was cancelled by the caller.
Cancelled,
/// A time or memory budget was exceeded.
Budget(String),
/// A tensor operation failed (shape mismatch, out of memory, device error).
Compute(String),
}
impl fmt::Display for Error {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
Error::Weights(m) => write!(f, "SAM 2 weights: {m}"),
Error::Input(m) => write!(f, "SAM 2 input: {m}"),
Error::Cancelled => write!(f, "SAM 2: cancelled"),
Error::Budget(m) => write!(f, "SAM 2 budget: {m}"),
Error::Compute(m) => write!(f, "SAM 2 compute: {m}"),
}
}
}
impl std::error::Error for Error {}
impl From<candle_core::Error> for Error {
fn from(e: candle_core::Error) -> Error {
Error::Compute(e.to_string())
}
}
pub type Result<T> = std::result::Result<T, Error>;
/// The released SAM 2.1 sizes. Only Tiny is wired up first; the others are configuration.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum Size {
Tiny,
Small,
BasePlus,
Large,
}
impl Size {
/// The Hugging Face repository the official weights come from.
pub fn repo(self) -> &'static str {
match self {
Size::Tiny => "facebook/sam2.1-hiera-tiny",
Size::Small => "facebook/sam2.1-hiera-small",
Size::BasePlus => "facebook/sam2.1-hiera-base-plus",
Size::Large => "facebook/sam2.1-hiera-large",
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn sizes_name_their_official_repositories() {
assert_eq!(Size::Tiny.repo(), "facebook/sam2.1-hiera-tiny");
assert!(Size::Large.repo().ends_with("large"));
}
#[test]
fn errors_say_what_failed() {
assert!(Error::Input("empty frame".into()).to_string().contains("empty frame"));
assert_eq!(Error::Cancelled.to_string(), "SAM 2: cancelled");
}
}