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| </pre><pre class="rust"><code><span class="comment">// Licensed to the Apache Software Foundation (ASF) under one |
| // or more contributor license agreements. See the NOTICE file |
| // distributed with this work for additional information |
| // regarding copyright ownership. The ASF licenses this file |
| // to you under the Apache License, Version 2.0 (the |
| // "License"); you may not use this file except in compliance |
| // with the License. You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, |
| // software distributed under the License is distributed on an |
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| // KIND, either express or implied. See the License for the |
| // specific language governing permissions and limitations |
| // under the License. |
| |
| </span><span class="kw">extern crate </span>base64; |
| <span class="kw">extern crate </span>image; |
| <span class="attribute">#[cfg(feature = <span class="string">"mesalock_sgx"</span>)] |
| </span><span class="kw">extern crate </span>rustface; |
| |
| <span class="kw">use </span>std::convert::TryFrom; |
| <span class="kw">use </span>teaclave_types::{FunctionArguments, FunctionRuntime}; |
| |
| <span class="attribute">#[derive(Default)] |
| </span><span class="kw">pub struct </span>FaceDetection; |
| |
| <span class="attribute">#[derive(serde::Deserialize)] |
| </span><span class="kw">struct </span>FaceDetectionArguments { |
| image: Vec<u8>, |
| <span class="doccomment">/// Set the size of the sliding window. |
| /// |
| /// The minimum size is constrained as no smaller than 20. |
| /// |
| /// # Panics |
| /// |
| /// Panics if `wnd_size` is less than 20. |
| </span>window_size: <span class="prelude-ty">Option</span><u32>, |
| <span class="doccomment">/// Set the sliding window step in horizontal and vertical directions. |
| /// |
| /// The steps should take positive values. |
| /// Usually a step of 4 is a reasonable choice. |
| /// |
| /// # Panics |
| /// |
| /// Panics if `step_x` or `step_y` is less than or equal to 0. |
| </span>slide_window_step_x: <span class="prelude-ty">Option</span><u32>, |
| slide_window_step_y: <span class="prelude-ty">Option</span><u32>, |
| <span class="doccomment">/// Set the minimum size of faces to detect. |
| /// |
| /// The minimum size is constrained as no smaller than 20. |
| /// |
| /// # Panics |
| /// |
| /// Panics if `min_face_size` is less than 20. |
| </span>min_face_size: <span class="prelude-ty">Option</span><u32>, |
| <span class="doccomment">/// Set the maximum size of faces to detect. |
| /// |
| /// The maximum face size actually used is computed as the minimum among: |
| /// user specified size, image width, image height. |
| </span>max_face_size: <span class="prelude-ty">Option</span><u32>, |
| <span class="doccomment">/// Set the factor between adjacent scales of image pyramid. |
| /// |
| /// The value of the factor lies in (0.1, 0.99). For example, when it is set as 0.5, |
| /// an input image of size w x h will be resized to 0.5w x 0.5h, 0.25w x 0.25h, 0.125w x 0.125h, etc. |
| /// |
| /// # Panics |
| /// |
| /// Panics if `scale_factor` is less than 0.01 or greater than 0.99 |
| </span>pyramid_scale_factor: <span class="prelude-ty">Option</span><f32>, |
| <span class="doccomment">/// Set the score threshold of detected faces. |
| /// |
| /// Detections with scores smaller than the threshold will not be returned. |
| /// Typical threshold values include 0.95, 2.8, 4.5. One can adjust the |
| /// threshold based on his or her own test set. |
| /// |
| /// Smaller values result in more detections (possibly increasing the number of false positives), |
| /// larger values result in fewer detections (possibly increasing the number of false negatives). |
| /// |
| /// # Panics |
| /// |
| /// Panics if `thresh` is less than or equal to 0. |
| </span>score_thresh: <span class="prelude-ty">Option</span><f64>, |
| } |
| |
| <span class="kw">impl </span>TryFrom<FunctionArguments> <span class="kw">for </span>FaceDetectionArguments { |
| <span class="kw">type </span>Error = anyhow::Error; |
| |
| <span class="kw">fn </span>try_from(arguments: FunctionArguments) -> <span class="prelude-ty">Result</span><<span class="self">Self</span>, <span class="self">Self</span>::Error> { |
| <span class="kw">use </span>anyhow::Context; |
| serde_json::from_str(<span class="kw-2">&</span>arguments.into_string()).context(<span class="string">"Cannot deserialize arguments"</span>) |
| } |
| } |
| |
| <span class="kw">impl </span>FaceDetection { |
| <span class="kw">pub const </span>NAME: <span class="kw-2">&</span><span class="lifetime">'static </span>str = <span class="string">"builtin-face-detection"</span>; |
| |
| <span class="kw">pub fn </span>new() -> <span class="self">Self </span>{ |
| Default::default() |
| } |
| |
| <span class="kw">pub fn </span>run( |
| <span class="kw-2">&</span><span class="self">self</span>, |
| arguments: FunctionArguments, |
| _runtime: FunctionRuntime, |
| ) -> anyhow::Result<String> { |
| <span class="kw">let </span>arguments = FaceDetectionArguments::try_from(arguments)<span class="question-mark">?</span>; |
| <span class="kw">let </span>image = arguments.image; |
| <span class="kw">let </span>img = image::load_from_memory(<span class="kw-2">&</span>image)<span class="question-mark">?</span>; |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>detector = rustface::create_default_detector()<span class="question-mark">?</span>; |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(window_size) = arguments.window_size { |
| detector.set_window_size(window_size); |
| } |
| <span class="kw">if let </span>(<span class="prelude-val">Some</span>(step_x), <span class="prelude-val">Some</span>(step_y)) = |
| (arguments.slide_window_step_x, arguments.slide_window_step_y) |
| { |
| detector.set_slide_window_step(step_x, step_y); |
| } |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(min_face_size) = arguments.min_face_size { |
| detector.set_min_face_size(min_face_size); |
| } |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(max_face_size) = arguments.max_face_size { |
| detector.set_max_face_size(max_face_size); |
| } |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(pyramid_scale_factor) = arguments.pyramid_scale_factor { |
| detector.set_pyramid_scale_factor(pyramid_scale_factor); |
| } |
| <span class="kw">if let </span><span class="prelude-val">Some</span>(score_thresh) = arguments.score_thresh { |
| detector.set_score_thresh(score_thresh); |
| } |
| |
| <span class="kw">let </span>faces = rustface::detect_faces(<span class="kw-2">&mut *</span>detector, img); |
| <span class="kw">let </span>result = serde_json::to_string(<span class="kw-2">&</span>faces)<span class="question-mark">?</span>; |
| |
| <span class="prelude-val">Ok</span>(result) |
| } |
| } |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"enclave_unit_test"</span>)] |
| </span><span class="kw">pub mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| <span class="kw">use </span>serde_json::json; |
| <span class="kw">use </span>std::untrusted::fs; |
| <span class="kw">use </span>teaclave_runtime::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_test_utils::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_types::<span class="kw-2">*</span>; |
| |
| <span class="kw">pub fn </span>run_tests() -> bool { |
| <span class="macro">run_tests!</span>(test_face_detection) |
| } |
| |
| <span class="kw">fn </span>test_face_detection() { |
| <span class="kw">let </span>input = <span class="string">"fixtures/functions/face_detection/input.jpg"</span>; |
| <span class="kw">let </span>image = fs::read(input).unwrap(); |
| <span class="kw">let </span>arguments = FunctionArguments::from_json(<span class="macro">json!</span>({ |
| <span class="string">"image"</span>: <span class="kw-2">&</span>image, |
| <span class="string">"min_face_size"</span>: <span class="number">20</span>, |
| <span class="string">"score_thresh"</span>: <span class="number">2.0</span>, |
| <span class="string">"pyramid_scale_factor"</span>: <span class="number">0.8</span>, |
| <span class="string">"slide_window_step_x"</span>: <span class="number">4</span>, |
| <span class="string">"slide_window_step_y"</span>: <span class="number">4 |
| </span>})) |
| .unwrap(); |
| |
| <span class="kw">let </span>input_files = StagedFiles::new(<span class="macro">hashmap!</span>()); |
| <span class="kw">let </span>output_files = StagedFiles::new(<span class="macro">hashmap!</span>()); |
| <span class="kw">let </span>runtime = Box::new(RawIoRuntime::new(input_files, output_files)); |
| |
| <span class="kw">let </span>result = FaceDetection::new().run(arguments, runtime).unwrap(); |
| <span class="kw">let </span>json_result: serde_json::Value = serde_json::from_str(<span class="kw-2">&</span>result).unwrap(); |
| <span class="macro">assert_eq!</span>(json_result.as_array().unwrap().len(), <span class="number">29</span>); |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../" data-current-crate="teaclave_function" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
