quantrs2_ml/computer_vision/
detectionhead_traits.rs

1//! # DetectionHead - Trait Implementations
2//!
3//! This module contains trait implementations for `DetectionHead`.
4//!
5//! ## Implemented Traits
6//!
7//! - `TaskHead`
8//!
9//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
10
11use super::*;
12use crate::error::{MLError, Result};
13use scirs2_core::ndarray::*;
14use scirs2_core::random::prelude::*;
15use scirs2_core::{Complex32, Complex64};
16use std::f64::consts::PI;
17
18use super::types::DetectionHead;
19
20impl TaskHead for DetectionHead {
21    fn forward(&self, features: &Array4<f64>) -> Result<TaskOutput> {
22        let (batch_size, _, _, _) = features.dim();
23        let boxes = Array3::zeros((batch_size, 100, 4));
24        let scores = Array2::zeros((batch_size, 100));
25        let classes = Array2::<f64>::zeros((batch_size, 100));
26        Ok(TaskOutput::Detection {
27            boxes,
28            scores,
29            classes: classes.mapv(|x| x as usize),
30        })
31    }
32    fn parameters(&self) -> &Array1<f64> {
33        &self.parameters
34    }
35    fn update_parameters(&mut self, _params: &Array1<f64>) -> Result<()> {
36        Ok(())
37    }
38    fn clone_box(&self) -> Box<dyn TaskHead> {
39        Box::new(self.clone())
40    }
41}