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bevy_ort/src/models/flame.rs
Line 69 in 7eff3a9
use bevy::prelude::*; use ndarray::Array2; use serde::{Deserialize, Serialize}; use crate::{ inputs, Onnx, }; pub struct FlamePlugin; impl Plugin for FlamePlugin { fn build(&self, app: &mut App) { app.init_resource::<Flame>(); } } #[derive(Resource, Default)] pub struct Flame { pub onnx: Handle<Onnx>, } #[derive( Debug, Clone, )] pub struct FlameInput { pub shape: [[f32; 100]; 8], pub pose: [[f32; 6]; 8], pub expression: [[f32; 50]; 8], pub neck: [[f32; 3]; 8], pub eye: [[f32; 6]; 8], } impl Default for FlameInput { fn default() -> Self { let radian = std::f32::consts::PI / 180.0; Self { shape: [[0.0; 100]; 8], pose: [ [0.0, 30.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, -30.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, 85.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, -48.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, 10.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, -15.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0 * radian, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0 * radian, 0.0, 0.0, 0.0, 0.0], ], expression: [[0.0; 50]; 8], neck: [[0.0; 3]; 8], eye: [[0.0; 6]; 8], } } } #[derive( Debug, Default, Clone, Deserialize, Serialize, )] pub struct FlameOutput { pub vertices: Vec<[f32; 3]>, // TODO: use Vec3 for binding pub landmarks: Vec<[f32; 3]>, } pub fn flame_inference( session: &ort::Session, input: &FlameInput, ) -> FlameOutput { let PreparedInput { shape, expression, pose, neck, eye, } = prepare_input(input); let input_values = inputs![ "shape" => shape.view(), "expression" => expression.view(), "pose" => pose.view(), "neck" => neck.view(), "eye" => eye.view(), ].map_err(|e| e.to_string()).unwrap(); let outputs = session.run(input_values).map_err(|e| e.to_string()); let binding = outputs.ok().unwrap(); let vertices: &ort::Value = binding.get("vertices").unwrap(); let landmarks: &ort::Value = binding.get("landmarks").unwrap(); post_process( vertices, landmarks, ) } pub struct PreparedInput { pub shape: Array2<f32>, pub pose: Array2<f32>, pub expression: Array2<f32>, pub neck: Array2<f32>, pub eye: Array2<f32>, } pub fn prepare_input( input: &FlameInput, ) -> PreparedInput { let shape = Array2::from_shape_vec((8, 100), input.shape.concat()).unwrap(); let pose = Array2::from_shape_vec((8, 6), input.pose.concat()).unwrap(); let expression = Array2::from_shape_vec((8, 50), input.expression.concat()).unwrap(); let neck = Array2::from_shape_vec((8, 3), input.neck.concat()).unwrap(); let eye = Array2::from_shape_vec((8, 6), input.eye.concat()).unwrap(); PreparedInput { shape, expression, pose, neck, eye, } } pub fn post_process( vertices: &ort::Value, landmarks: &ort::Value, ) -> FlameOutput { let vertices_tensor = vertices.try_extract_tensor::<f32>().unwrap(); let vertices_view = vertices_tensor.view(); // [8, 5023, 3] let landmarks_tensor = landmarks.try_extract_tensor::<f32>().unwrap(); let landmarks_view = landmarks_tensor.view(); // [8, 68, 3] let vertices = vertices_view.outer_iter() .flat_map(|subtensor| { subtensor.outer_iter().map(|row| { [row[0], row[1], row[2]] }).collect::<Vec<[f32; 3]>>() }) .collect::<Vec::<_>>(); let landmarks = landmarks_view.outer_iter() .flat_map(|subtensor| { subtensor.outer_iter().map(|row| { [row[0], row[1], row[2]] }).collect::<Vec<[f32; 3]>>() }) .collect::<Vec::<_>>(); FlameOutput { vertices, landmarks, } }
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bevy_ort/src/models/flame.rs
Line 69 in 7eff3a9
The text was updated successfully, but these errors were encountered: