Fix polygon drawing

* Support auto download ort feature
* Fix polygon drawing

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "usls"
-version = "0.0.12"
+version = "0.0.13"
 edition = "2021"
 description = "A Rust library integrated with ONNXRuntime, providing a collection of ML models."
 repository = "https://github.com/jamjamjon/usls"
@@ -12,21 +12,7 @@ exclude = ["assets/*", "examples/*", "scripts/*", "runs/*"]
 [dependencies]
 clap = { version = "4.2.4", features = ["derive"] }
 ndarray = { version = "0.16.1", features = ["rayon"] }
-ort = { version = "2.0.0-rc.5", default-features = false, features = [
-    "load-dynamic",
-    "copy-dylibs",
-    "half",
-    "cann",
-    "rknpu",
-    "ndarray",
-    "cuda",
-    "tensorrt",
-    "coreml",
-    "openvino",
-    "rocm",
-    "openvino",
-    "operator-libraries"
-]}
+ort = { version = "2.0.0-rc.5", default-features = false}
 anyhow = { version = "1.0.75" }
 regex = { version = "1.5.4" }
 rand = { version = "0.8.5" }
@@ -45,10 +31,22 @@ imageproc = { version = "0.24" }
 ab_glyph = "0.2.23"
 geo = "0.28.0"
 prost = "0.12.4"
-human_bytes = "0.4.3"
 fast_image_resize = { version = "4.2.1", features = ["image"]}
 
 
+[features]
+default = [
+    "ort/load-dynamic",
+    "ort/copy-dylibs",
+    "ort/half",
+    "ort/ndarray",
+    "ort/cuda",
+    "ort/tensorrt",
+    "ort/coreml",
+    "ort/operator-libraries"
+]
+auto = ["ort/download-binaries"]
+
 [dev-dependencies]
 criterion = "0.5.1"
 

README.md

@@ -75,16 +75,27 @@
 </details>
 
 
-## ⛳️ Linking
+## ⛳️ ONNXRuntime Linking 
 
-- #### For detailed setup instructions, refer to the [ORT documentation](https://ort.pyke.io/setup/linking).
+You have two options to link the ONNXRuntime library
+
+- ### Option 1: Manual Linking
+
+    - #### For detailed setup instructions, refer to the [ORT documentation](https://ort.pyke.io/setup/linking).
+
+    - #### For Linux or macOS Users:
+        - Download the ONNX Runtime package from the [Releases page](https://github.com/microsoft/onnxruntime/releases).
+        - Set up the library path by exporting the `ORT_DYLIB_PATH` environment variable:
+           ```shell
+           export ORT_DYLIB_PATH=/path/to/onnxruntime/lib/libonnxruntime.so.1.19.0
+           ```
+       
+- ### Option 2: Automatic Download
+  Just use `--features auto`
+  ```shell
+  cargo run -r --example yolo --features auto
+  ```
 
-- #### For Linux or macOS users</summary>
-    1. Download the ONNXRuntime package from the [Releases page](https://github.com/microsoft/onnxruntime/releases).
-    2. Set up the library path by exporting the `ORT_DYLIB_PATH` environment variable:
-       ```shell
-       export ORT_DYLIB_PATH=/path/to/onnxruntime/lib/libonnxruntime.so.1.19.0
-       ```
 
 
 ## 🎈 Quick Start

src/core/ort_engine.rs

@@ -1,6 +1,5 @@
 use anyhow::Result;
 use half::f16;
-use human_bytes::human_bytes;
 use ndarray::{Array, IxDyn};
 use ort::{
     ExecutionProvider, Session, SessionBuilder, TensorElementType, TensorRTExecutionProvider,
@@ -8,7 +7,9 @@ use ort::{
 use prost::Message;
 use std::collections::HashSet;
 
-use crate::{home_dir, onnx, Device, MinOptMax, Ops, Options, Ts, Xs, CHECK_MARK, CROSS_MARK, X};
+use crate::{
+    home_dir, human_bytes, onnx, Device, MinOptMax, Ops, Options, Ts, Xs, CHECK_MARK, CROSS_MARK, X,
+};
 
 /// Ort Tensor Attrs: name, data_type, dims
 #[derive(Debug)]
@@ -169,10 +170,9 @@ impl OrtEngine {
 
         // summary
         println!(
-            "{CHECK_MARK} Backend: ONNXRuntime | OpSet: {} | EP: {:?} | DType: {:?} | Params: {}",
+            "{CHECK_MARK} Backend: ONNXRuntime | Opset: {} | Device: {:?} | Params: {}",
             model_proto.opset_import[0].version,
             device,
-            inputs_attrs.dtypes,
             human_bytes(params as f64),
         );
 

src/models/db.rs

@@ -129,7 +129,8 @@ impl DB {
                     .unclip(delta, image_width as f64, image_height as f64)
                     .resample(50)
                     // .simplify(6e-4)
-                    .convex_hull();
+                    .convex_hull()
+                    .verify();
 
                 if let Some(bbox) = polygon.bbox() {
                     if bbox.height() < self.min_height || bbox.width() < self.min_width {

src/models/sam.rs

@@ -292,7 +292,7 @@ impl SAM {
                     let contours: Vec<imageproc::contours::Contour<i32>> =
                         imageproc::contours::find_contours_with_threshold(&luma, 0);
                     for c in contours.iter() {
-                        let polygon = Polygon::default().with_points_imageproc(&c.points);
+                        let polygon = Polygon::default().with_points_imageproc(&c.points).verify();
                         y_polygons.push(polygon.with_confidence(iou[0]).with_id(id));
                     }
                 }

src/models/sapiens.rs

@@ -119,7 +119,8 @@ impl Sapiens {
                     .map(|x| {
                         let mut polygon = Polygon::default()
                             .with_id(*i as _)
-                            .with_points_imageproc(&x.points);
+                            .with_points_imageproc(&x.points)
+                            .verify();
                         if let Some(names_body) = &self.names_body {
                             polygon = polygon.with_name(&names_body[*i]);
                         }

src/models/yolo.rs

@@ -463,7 +463,8 @@ impl Vision for YOLO {
                                         .map(|x| {
                                             let mut polygon = Polygon::default()
                                                 .with_id(bbox.id())
-                                                .with_points_imageproc(&x.points);
+                                                .with_points_imageproc(&x.points)
+                                                .verify();
                                             if let Some(name) = bbox.name() {
                                                 polygon = polygon.with_name(name);
                                             }

src/models/yolop.rs

@@ -127,6 +127,7 @@ impl YOLOPv2 {
                         .with_id(0)
                         .with_points_imageproc(&x.points)
                         .with_name("Drivable area")
+                        .verify()
                 })
                 .max_by(|x, y| x.area().total_cmp(&y.area()))
             {
@@ -152,6 +153,7 @@ impl YOLOPv2 {
                         .with_id(1)
                         .with_points_imageproc(&x.points)
                         .with_name("Lane line")
+                        .verify()
                 })
                 .max_by(|x, y| x.area().total_cmp(&y.area()))
             {

src/utils/mod.rs

@@ -16,6 +16,20 @@ pub(crate) const CHECK_MARK: &str = "✅";
 pub(crate) const CROSS_MARK: &str = "❌";
 pub(crate) const SAFE_CROSS_MARK: &str = "❎";
 
+pub fn human_bytes(size: f64) -> String {
+    let units = ["B", "KB", "MB", "GB", "TB", "PB", "EB"];
+    let mut size = size;
+    let mut unit_index = 0;
+    let k = 1024.;
+
+    while size >= k && unit_index < units.len() - 1 {
+        size /= k;
+        unit_index += 1;
+    }
+
+    format!("{:.1} {}", size, units[unit_index])
+}
+
 pub(crate) fn auto_load<P: AsRef<Path>>(src: P, sub: Option<&str>) -> Result<String> {
     let src = src.as_ref();
     let p = if src.is_file() {

src/ys/polygon.rs

@@ -214,4 +214,33 @@ impl Polygon {
         self.polygon = geo::Polygon::new(LineString::from(new_points), vec![]);
         self
     }
+
+    pub fn verify(mut self) -> Self {
+        // Remove duplicates and redundant points
+        let mut points = self.polygon.exterior().points().collect::<Vec<_>>();
+        Self::remove_duplicates(&mut points);
+        self.polygon = geo::Polygon::new(LineString::from(points), vec![]);
+        self
+    }
+
+    fn remove_duplicates(xs: &mut Vec<Point>) {
+        // Step 1: Remove elements from the end if they match the first element
+        if let Some(first) = xs.first() {
+            let p_1st_x = first.x() as i32;
+            let p_1st_y = first.y() as i32;
+            while xs.len() > 1 {
+                if let Some(last) = xs.last() {
+                    if last.x() as i32 == p_1st_x && last.y() as i32 == p_1st_y {
+                        xs.pop();
+                    } else {
+                        break;
+                    }
+                }
+            }
+        }
+
+        // Step 2: Remove duplicates
+        let mut seen = std::collections::HashSet::new();
+        xs.retain(|point| seen.insert((point.x() as i32, point.y() as i32)));
+    }
 }