🚀 Release v0.0.26: LiteRT.js backend documentation fixes and file/blob support (#278)

Signed-off-by: Onuralp SEZER <onuralp@ultralytics.com>

Author: onuralpszr

Cargo.lock

@@ -9,7 +9,7 @@ default-members = ["."]
 
 [package]
 name = "ultralytics-inference"
-version = "0.0.25"
+version = "0.0.26"
 edition = "2024"
 rust-version = "1.89"
 authors = [

Cargo.toml

@@ -174,7 +174,7 @@ ultralytics-inference predict
 ```text
 WARNING ⚠️ 'model' argument is missing. Using default '--model=yolo26n.onnx'.
 WARNING ⚠️ 'source' argument is missing. Using default images: https://ultralytics.com/images/bus.jpg, https://ultralytics.com/images/zidane.jpg
-Ultralytics Inference 0.0.25 🚀 Rust ONNX FP32 CPU
+Ultralytics Inference 0.0.26 🚀 Rust ONNX FP32 CPU
 Using ONNX Runtime CPUExecutionProvider
 YOLO26n summary: 80 classes, imgsz=(640, 640)
 
@@ -194,7 +194,7 @@ ultralytics-inference predict --task segment
 ```text
 WARNING ⚠️ 'model' argument is missing. Using default '--model=yolo26n-seg.onnx'.
 WARNING ⚠️ 'source' argument is missing. Using default images: https://ultralytics.com/images/bus.jpg, https://ultralytics.com/images/zidane.jpg
-Ultralytics Inference 0.0.25 🚀 Rust ONNX FP32 CPU
+Ultralytics Inference 0.0.26 🚀 Rust ONNX FP32 CPU
 Using ONNX Runtime CPUExecutionProvider
 YOLO26n-seg summary: 80 classes, imgsz=(640, 640)
 
@@ -290,7 +290,7 @@ Add to your `Cargo.toml` (choose one):
 ```toml
 # Stable release from crates.io
 [dependencies]
-ultralytics-inference = "0.0.25"
+ultralytics-inference = "0.0.26"
 ```
 
 ```toml

README.md

@@ -173,7 +173,7 @@ ultralytics-inference predict
 ```text
 WARNING ⚠️ 'model' argument is missing. Using default '--model=yolo26n.onnx'.
 WARNING ⚠️ 'source' argument is missing. Using default images: https://ultralytics.com/images/bus.jpg, https://ultralytics.com/images/zidane.jpg
-Ultralytics Inference 0.0.25 🚀 Rust ONNX FP32 CPU
+Ultralytics Inference 0.0.26 🚀 Rust ONNX FP32 CPU
 Using ONNX Runtime CPUExecutionProvider
 YOLO26n summary: 80 classes, imgsz=(640, 640)
 
@@ -193,7 +193,7 @@ ultralytics-inference predict --task segment
 ```text
 WARNING ⚠️ 'model' argument is missing. Using default '--model=yolo26n-seg.onnx'.
 WARNING ⚠️ 'source' argument is missing. Using default images: https://ultralytics.com/images/bus.jpg, https://ultralytics.com/images/zidane.jpg
-Ultralytics Inference 0.0.25 🚀 Rust ONNX FP32 CPU
+Ultralytics Inference 0.0.26 🚀 Rust ONNX FP32 CPU
 Using ONNX Runtime CPUExecutionProvider
 YOLO26n-seg summary: 80 classes, imgsz=(640, 640)
 
@@ -289,7 +289,7 @@ YOLOv8、YOLO11 和 YOLO26 ONNX 模型支持 **n / s / m / l / x** 尺寸，并
 ```toml
 # crates.io 稳定版本
 [dependencies]
-ultralytics-inference = "0.0.25"
+ultralytics-inference = "0.0.26"
 ```
 
 ```toml

README.zh-CN.md

@@ -2,7 +2,7 @@
 
 [package]
 name = "ultralytics-inference-web"
-version = "0.0.25"
+version = "0.0.26"
 edition = "2024"
 rust-version = "1.89"
 description = "Browser/WebAssembly bindings for ultralytics-inference (WebGPU via ort-web)"

crates/web/Cargo.toml

@@ -27,9 +27,9 @@ Add the feature you need in your `Cargo.toml`:
 
 ```toml
 [dependencies]
-ultralytics-inference = { version = "0.0.25", features = ["tensorrt"] }
+ultralytics-inference = { version = "0.0.26", features = ["tensorrt"] }
 # or, for the fastest path:
-ultralytics-inference = { version = "0.0.25", features = ["cuda-preprocess"] }
+ultralytics-inference = { version = "0.0.26", features = ["cuda-preprocess"] }
 ```
 
 Then `cargo build --release` — no extra flags needed.
@@ -59,7 +59,7 @@ If you need to pin a specific version at compile time instead, override the cuda
 
 ```toml
 [dependencies]
-ultralytics-inference = { version = "0.0.25", features = ["cuda-preprocess"] }
+ultralytics-inference = { version = "0.0.26", features = ["cuda-preprocess"] }
 # Replace the default feature with a pinned one (e.g. CUDA 12.8):
 cudarc = { version = "0.19", default-features = false, features = ["driver", "nvrtc", "dynamic-loading", "cuda-12080"] }
 ```

docs/CUDA.md

@@ -1,6 +1,6 @@
 {
   "name": "@ultralytics/yolo",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "Run Ultralytics YOLO models in the browser on WebGPU (WebAssembly, ONNX Runtime Web via ort-web).",
   "type": "module",
   "main": "./dist/index.js",