feat: Added stuff
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30
src/main.rs
30
src/main.rs
@@ -4,10 +4,12 @@ use bounding_box::roi::MultiRoi;
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use detector::{facedet::retinaface::FaceDetectionConfig, faceembed};
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use errors::*;
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use fast_image_resize::ResizeOptions;
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use nalgebra::zero;
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use ndarray::*;
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use ndarray_image::*;
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use ndarray_resize::NdFir;
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const RETINAFACE_MODEL: &[u8] = include_bytes!("../models/retinaface.mnn");
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const FACENET_MODEL: &[u8] = include_bytes!("../models/facenet.mnn");
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const CHUNK_SIZE: usize = 8;
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pub fn main() -> Result<()> {
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tracing_subscriber::fmt()
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.with_env_filter("trace")
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@@ -19,10 +21,16 @@ pub fn main() -> Result<()> {
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match args.cmd {
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cli::SubCommand::Detect(detect) => {
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use detector::facedet;
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let retinaface = facedet::retinaface::FaceDetection::new_from_bytes(RETINAFACE_MODEL)
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let retinaface = facedet::retinaface::FaceDetection::builder()(RETINAFACE_MODEL)
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.change_context(Error)?
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.with_forward_type(detect.forward_type)
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.build()
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.change_context(errors::Error)
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.attach_printable("Failed to create face detection model")?;
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let facenet = faceembed::facenet::EmbeddingGenerator::new_from_bytes(FACENET_MODEL)
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let facenet = faceembed::facenet::EmbeddingGenerator::builder()(FACENET_MODEL)
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.change_context(Error)?
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.with_forward_type(detect.forward_type)
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.build()
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.change_context(errors::Error)
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.attach_printable("Failed to create face embedding model")?;
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let image = image::open(detect.image).change_context(Error)?;
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@@ -45,8 +53,6 @@ pub fn main() -> Result<()> {
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use bounding_box::draw::*;
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array.draw(bbox, color::palette::css::GREEN_YELLOW.to_rgba8(), 1);
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}
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use ndarray::{Array2, Array3, Array4, Axis};
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use ndarray_resize::NdFir;
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let face_rois = array
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.view()
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.multi_roi(&output.bbox)
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@@ -68,21 +74,19 @@ pub fn main() -> Result<()> {
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.collect::<Result<Vec<_>>>()?;
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let face_roi_views = face_rois.iter().map(|roi| roi.view()).collect::<Vec<_>>();
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let chunk_size = CHUNK_SIZE;
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let embeddings = face_roi_views
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.chunks(8)
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.chunks(chunk_size)
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.map(|chunk| {
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tracing::info!("Processing chunk of size: {}", chunk.len());
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if chunk.len() < 8 {
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tracing::warn!("Chunk size is less than 8, padding with zeros");
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let zeros = Array3::zeros((512, 512, 3));
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let padded: Vec<ndarray::ArrayView3<'_, u8>> = chunk
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.iter()
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.cloned()
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.chain(core::iter::repeat(zeros.view()))
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.take(8)
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.collect();
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let face_rois: Array4<u8> = ndarray::stack(Axis(0), padded.as_slice())
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let zero_array = core::iter::repeat(zeros.view())
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.take(chunk_size)
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.collect::<Vec<_>>();
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let face_rois: Array4<u8> = ndarray::stack(Axis(0), zero_array.as_slice())
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.change_context(errors::Error)
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.attach_printable("Failed to stack rois together")?;
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let output = facenet.run_models(face_rois.view()).change_context(Error)?;
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