| <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/root/.cargo/git/checkouts/incubator-teaclave-crates-c8106113f74feefc/ede1f68/rustface/src/classifier/surf_mlp_classifier.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>surf_mlp_classifier.rs - source</title><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../SourceSerif4-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../FiraSans-Regular.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../FiraSans-Medium.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../SourceCodePro-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../SourceSerif4-Bold.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../SourceCodePro-Semibold.ttf.woff2"><link rel="stylesheet" href="../../../normalize.css"><link rel="stylesheet" href="../../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" href="../../../ayu.css" disabled><link rel="stylesheet" href="../../../dark.css" disabled><link rel="stylesheet" href="../../../light.css" id="themeStyle"><script id="default-settings" ></script><script src="../../../storage.js"></script><script defer src="../../../source-script.js"></script><script defer src="../../../source-files.js"></script><script defer src="../../../main.js"></script><noscript><link rel="stylesheet" href="../../../noscript.css"></noscript><link rel="alternate icon" type="image/png" href="../../../favicon-16x16.png"><link rel="alternate icon" type="image/png" href="../../../favicon-32x32.png"><link rel="icon" type="image/svg+xml" href="../../../favicon.svg"></head><body class="rustdoc source"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><a class="sidebar-logo" href="../../../rustface/index.html"><div class="logo-container"><img class="rust-logo" src="../../../rust-logo.svg" alt="logo"></div></a></nav><main><div class="width-limiter"><nav class="sub"><a class="sub-logo-container" href="../../../rustface/index.html"><img class="rust-logo" src="../../../rust-logo.svg" alt="logo"></a><form class="search-form"><div class="search-container"><span></span><input class="search-input" name="search" autocomplete="off" spellcheck="false" placeholder="Click or press ‘S’ to search, ‘?’ for more options…" type="search"><div id="help-button" title="help" tabindex="-1"><a href="../../../help.html">?</a></div><div id="settings-menu" tabindex="-1"><a href="../../../settings.html" title="settings"><img width="22" height="22" alt="Change settings" src="../../../wheel.svg"></a></div></div></form></nav><section id="main-content" class="content"><div class="example-wrap"><pre class="src-line-numbers"><span id="1">1</span> |
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| </pre><pre class="rust"><code><span class="comment">// This file is part of the open-source port of SeetaFace engine, which originally includes three modules: |
| // SeetaFace Detection, SeetaFace Alignment, and SeetaFace Identification. |
| // |
| // This file is part of the SeetaFace Detection module, containing codes implementing the face detection method described in the following paper: |
| // |
| // Funnel-structured cascade for multi-view face detection with alignment awareness, |
| // Shuzhe Wu, Meina Kan, Zhenliang He, Shiguang Shan, Xilin Chen. |
| // In Neurocomputing (under review) |
| // |
| // Copyright (C) 2016, Visual Information Processing and Learning (VIPL) group, |
| // Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. |
| // |
| // As an open-source face recognition engine: you can redistribute SeetaFace source codes |
| // and/or modify it under the terms of the BSD 2-Clause License. |
| // |
| // You should have received a copy of the BSD 2-Clause License along with the software. |
| // If not, see < https://opensource.org/licenses/BSD-2-Clause>. |
| |
| </span><span class="kw">use </span><span class="kw">super</span>::Score; |
| <span class="kw">use </span><span class="kw">crate</span>::feat::SurfMlpFeatureMap; |
| <span class="kw">use </span><span class="kw">crate</span>::math; |
| <span class="kw">use </span><span class="kw">crate</span>::Rectangle; |
| <span class="kw">use </span>std::mem; |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"rayon"</span>)] |
| </span><span class="kw">use </span>rayon::prelude::<span class="kw-2">*</span>; |
| |
| <span class="kw">struct </span>TwoWayBuffer { |
| input: Vec<f32>, |
| output: Vec<f32>, |
| } |
| |
| <span class="kw">impl </span>TwoWayBuffer { |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>new() -> <span class="self">Self </span>{ |
| TwoWayBuffer { |
| input: Vec::new(), |
| output: Vec::new(), |
| } |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>get_buffers(<span class="kw-2">&mut </span><span class="self">self</span>) -> (<span class="kw-2">&mut </span>Vec<f32>, <span class="kw-2">&mut </span>Vec<f32>) { |
| (<span class="kw-2">&mut </span><span class="self">self</span>.input, <span class="kw-2">&mut </span><span class="self">self</span>.output) |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>get_input(<span class="kw-2">&mut </span><span class="self">self</span>) -> <span class="kw-2">&mut </span>Vec<f32> { |
| <span class="kw-2">&mut </span><span class="self">self</span>.input |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>swap(<span class="kw-2">&mut </span><span class="self">self</span>) { |
| mem::swap(<span class="kw-2">&mut </span><span class="self">self</span>.input, <span class="kw-2">&mut </span><span class="self">self</span>.output); |
| } |
| } |
| |
| <span class="kw">pub struct </span>SurfMlpBuffers { |
| input: Vec<f32>, |
| output: Vec<f32>, |
| layers: TwoWayBuffer, |
| } |
| |
| <span class="kw">impl </span>SurfMlpBuffers { |
| <span class="attribute">#[inline] |
| </span><span class="kw">pub fn </span>new() -> <span class="self">Self </span>{ |
| SurfMlpBuffers { |
| input: Vec::new(), |
| output: Vec::new(), |
| layers: TwoWayBuffer::new(), |
| } |
| } |
| } |
| |
| <span class="attribute">#[derive(Clone)] |
| </span><span class="kw">pub struct </span>SurfMlpClassifier { |
| feature_ids: Vec<i32>, |
| thresh: f32, |
| layers: Vec<Layer>, |
| } |
| |
| <span class="kw">impl </span>SurfMlpClassifier { |
| <span class="attribute">#[inline] |
| </span><span class="kw">pub fn </span>new() -> <span class="self">Self </span>{ |
| SurfMlpClassifier { |
| feature_ids: Vec::new(), |
| thresh: <span class="number">0.0</span>, |
| layers: Vec::new(), |
| } |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">pub fn </span>add_feature_id(<span class="kw-2">&mut </span><span class="self">self</span>, feature_id: i32) { |
| <span class="self">self</span>.feature_ids.push(feature_id); |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">pub fn </span>set_threshold(<span class="kw-2">&mut </span><span class="self">self</span>, thresh: f32) { |
| <span class="self">self</span>.thresh = thresh; |
| } |
| |
| <span class="kw">pub fn </span>add_layer( |
| <span class="kw-2">&mut </span><span class="self">self</span>, |
| input_dim: usize, |
| output_dim: usize, |
| weights: Vec<f32>, |
| biases: Vec<f32>, |
| ) { |
| <span class="self">self</span>.layers.push(Layer { |
| input_dim, |
| output_dim, |
| weights, |
| biases, |
| act_func: <span class="self">Self</span>::relu, |
| }) |
| } |
| |
| <span class="kw">pub fn </span>add_output_layer( |
| <span class="kw-2">&mut </span><span class="self">self</span>, |
| input_dim: usize, |
| output_dim: usize, |
| weights: Vec<f32>, |
| biases: Vec<f32>, |
| ) { |
| <span class="self">self</span>.layers.push(Layer { |
| input_dim, |
| output_dim, |
| weights, |
| biases, |
| act_func: <span class="self">Self</span>::sigmoid, |
| }) |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>relu(x: f32) -> f32 { |
| <span class="kw">if </span>x > <span class="number">0.0 </span>{ |
| x |
| } <span class="kw">else </span>{ |
| <span class="number">0.0 |
| </span>} |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>sigmoid(x: f32) -> f32 { |
| <span class="number">1.0 </span>/ (<span class="number">1.0 </span>+ (-x).exp()) |
| } |
| |
| <span class="kw">fn </span>compute_internal(<span class="kw-2">&</span><span class="self">self</span>, bufs: <span class="kw-2">&mut </span>SurfMlpBuffers) { |
| bufs.layers |
| .get_input() |
| .resize(<span class="self">self</span>.layers[<span class="number">0</span>].output_size(), <span class="number">0.0</span>); |
| <span class="self">self</span>.layers[<span class="number">0</span>].compute(<span class="kw-2">&</span>bufs.input, bufs.layers.get_input()); |
| |
| <span class="kw">for </span>i <span class="kw">in </span><span class="number">1</span>..(<span class="self">self</span>.layers.len() - <span class="number">1</span>) { |
| { |
| <span class="kw">let </span>layer = <span class="kw-2">&</span><span class="self">self</span>.layers[i]; |
| <span class="kw">let </span>(input_buf, output_buf) = bufs.layers.get_buffers(); |
| output_buf.resize(layer.output_size(), <span class="number">0.0</span>); |
| layer.compute(input_buf, output_buf); |
| } |
| bufs.layers.swap(); |
| } |
| |
| <span class="kw">let </span>last_layer = <span class="kw-2">&</span><span class="self">self</span>.layers[<span class="self">self</span>.layers.len() - <span class="number">1</span>]; |
| last_layer.compute(bufs.layers.get_input(), <span class="kw-2">&mut </span>bufs.output); |
| } |
| } |
| |
| <span class="attribute">#[derive(Clone)] |
| </span><span class="kw">struct </span>Layer { |
| input_dim: usize, |
| output_dim: usize, |
| weights: Vec<f32>, |
| biases: Vec<f32>, |
| act_func: <span class="kw">fn</span>(f32) -> f32, |
| } |
| |
| <span class="kw">impl </span>Layer { |
| <span class="kw">fn </span>compute(<span class="kw-2">&</span><span class="self">self</span>, input: <span class="kw-2">&</span>[f32], output: <span class="kw-2">&mut </span>[f32]) { |
| <span class="attribute">#[cfg(feature = <span class="string">"rayon"</span>)] |
| </span><span class="kw">let </span>it = <span class="self">self</span>.weights.par_chunks(<span class="self">self</span>.input_dim); |
| |
| <span class="attribute">#[cfg(not(feature = <span class="string">"rayon"</span>))] |
| </span><span class="kw">let </span>it = <span class="self">self</span>.weights.chunks(<span class="self">self</span>.input_dim); |
| |
| it.zip(<span class="kw-2">&</span><span class="self">self</span>.biases) |
| .zip(output) |
| .for_each(|((weights, bias), output)| { |
| <span class="kw">let </span>x = math::vector_inner_product(input, weights) + bias; |
| <span class="kw-2">*</span>output = (<span class="self">self</span>.act_func)(x); |
| }); |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>input_size(<span class="kw-2">&</span><span class="self">self</span>) -> usize { |
| <span class="self">self</span>.input_dim |
| } |
| |
| <span class="attribute">#[inline] |
| </span><span class="kw">fn </span>output_size(<span class="kw-2">&</span><span class="self">self</span>) -> usize { |
| <span class="self">self</span>.output_dim |
| } |
| } |
| |
| <span class="kw">impl </span>SurfMlpClassifier { |
| <span class="kw">pub fn </span>classify( |
| <span class="kw-2">&</span><span class="self">self</span>, |
| output: <span class="prelude-ty">Option</span><<span class="kw-2">&mut </span>Vec<f32>>, |
| bufs: <span class="kw-2">&mut </span>SurfMlpBuffers, |
| feature_map: <span class="kw-2">&mut </span>SurfMlpFeatureMap, |
| roi: Rectangle, |
| ) -> Score { |
| <span class="kw">let </span>input_layer = <span class="self">self</span>.layers.get(<span class="number">0</span>).expect(<span class="string">"No layers"</span>); |
| bufs.input.resize(input_layer.input_size(), <span class="number">0.0</span>); |
| |
| <span class="kw">let </span>num_layers = <span class="self">self</span>.layers.len(); |
| <span class="kw">let </span>output_layer = <span class="self">self</span>.layers.get(num_layers - <span class="number">1</span>).expect(<span class="string">"No layers"</span>); |
| bufs.output.resize(output_layer.output_size(), <span class="number">0.0</span>); |
| |
| { |
| <span class="kw">let </span><span class="kw-2">mut </span>dest = bufs.input.as_mut_ptr(); |
| <span class="kw">unsafe </span>{ |
| <span class="kw">for </span><span class="kw-2">&</span>feature_id <span class="kw">in </span><span class="kw-2">&</span><span class="self">self</span>.feature_ids[..] { |
| feature_map.get_feature_vector((feature_id - <span class="number">1</span>) <span class="kw">as </span>usize, dest, roi); |
| <span class="kw">let </span>offset = feature_map.get_feature_vector_dim(feature_id <span class="kw">as </span>usize); |
| dest = dest.offset(offset <span class="kw">as </span>isize); |
| } |
| } |
| } |
| |
| <span class="self">self</span>.compute_internal(bufs); |
| |
| <span class="kw">let </span>score = <span class="kw-2">*</span>bufs.output.get(<span class="number">0</span>).expect(<span class="string">"No score"</span>); |
| <span class="kw">let </span>score = Score { |
| positive: score > <span class="self">self</span>.thresh, |
| score, |
| }; |
| |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(output) = output { |
| output.clear(); |
| output.extend_from_slice(<span class="kw-2">&</span>bufs.output); |
| } |
| |
| score |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../../" data-current-crate="rustface" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
