Add C++ ONNX Demo

inference/cpp/onnx/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.10)
+project(RF_DETR_ONNX)
+
+# Set C++ standard
+set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+# Find OpenCV
+find_package(OpenCV REQUIRED)
+
+# Find ONNX Runtime
+find_path(ONNXRUNTIME_INCLUDE_DIRS onnxruntime/core/session/onnxruntime_cxx_api.h)
+find_library(ONNXRUNTIME_LIBRARIES NAMES onnxruntime)
+
+if(NOT ONNXRUNTIME_INCLUDE_DIRS OR NOT ONNXRUNTIME_LIBRARIES)
+    message(FATAL_ERROR "ONNX Runtime not found. Set ONNXRUNTIME_DIR to the ONNX Runtime installation path.")
+endif()
+
+# Include directories
+include_directories(${OpenCV_INCLUDE_DIRS} ${ONNXRUNTIME_INCLUDE_DIRS})
+
+# Source files
+set(SOURCES 
+    main.cpp 
+    RF_DETR_ONNX.cpp
+)
+
+# Header files
+set(HEADERS 
+    RF_DETR_ONNX.h
+)
+
+# Create executable
+add_executable(RF_DETR_ONNX ${SOURCES} ${HEADERS})
+
+# Link libraries
+target_link_libraries(RF_DETR_ONNX ${OpenCV_LIBS} ${ONNXRUNTIME_LIBRARIES})
+
+# Platform-specific settings
+if(WIN32)
+    add_definitions(-DWIN32_LEAN_AND_MEAN)
+elseif(UNIX)
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
+endif()
+
+message(STATUS "OpenCV include: ${OpenCV_INCLUDE_DIRS}")
+message(STATUS "OpenCV libs: ${OpenCV_LIBS}")
+message(STATUS "ONNX Runtime include: ${ONNXRUNTIME_INCLUDE_DIRS}")
+message(STATUS "ONNX Runtime libs: ${ONNXRUNTIME_LIBRARIES}")

inference/cpp/onnx/README.md

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+# ONNX Inference in C++
+
+This guide explains how to set up, build, and run the ONNX model inference demo in C++ using ONNX Runtime and OpenCV.
+
+---
+
+## 📌 Prerequisites
+
+Ensure you have the following installed:
+
+- **CMake** (3.5.1 or later)
+- **C++ Compiler** (with C++17 support)
+- **ONNX Runtime** → Install it following [this guide](https://onnxruntime.ai/docs/genai/howto/install.html).
+- **OpenCV** → Install via a package manager:
+
+  - **Windows (vcpkg)** → `vcpkg install opencv`
+  - **Ubuntu** → `sudo apt update && sudo apt install libopencv-dev`
+  - **macOS (Homebrew)** → `brew install opencv`
+
+---
+
+## ⚙️ Build & Run
+
+### 1️⃣ Clone the Repository
+```sh
+git clone https://github.com/roboflow/rf-detr
+cd inference/cpp/onnx
+mkdir build && cd build
+```
+
+### 2️⃣ Configure & Compile
+
+#### **🔹 Linux/macOS**
+```sh
+cmake ..
+cmake --build .
+```
+
+#### **🔹 Windows (MSVC)**
+```sh
+cmake .. -G "Visual Studio 17 2022"
+cmake --build . --config Release
+```
+
+### 3️⃣ Run the Model
+
+This PR introduces a C++ demo for the RF-DETR model, allowing users to perform real-time object detection using an ONNX model. The demo supports various input sources, including images, videos, and live camera streams, with optional CUDA acceleration.
+
+### 🔹 Key Features
+✅ Loads an RF-DETR model in ONNX format  
+✅ Supports image, video, and live camera inference  
+✅ Enables CPU and CUDA (GPU) execution  
+✅ Configurable confidence threshold for detections  
+✅ Outputs annotated images/videos with detected objects  
+✅ Uses COCO class labels for object recognition  
+
+### 🔹 Run Examples
+
+#### **Image Inference**
+Detect objects in a static image and save the output:
+```sh
+./main --model path/to/model.onnx --source_type image \
+  --input path/to/image.jpg --output path/to/output.jpg \
+  --conf 0.6 --labels path/to/coco.names
+```
+
+#### **Video Inference**
+Process a video file and save the annotated output:
+```sh
+./main --model path/to/model.onnx --source_type video \
+  --input path/to/video.mp4 --output path/to/output.mp4 \
+  --conf 0.5 --use_cuda
+```
+
+#### **Live Camera Inference (Default ID 0)**
+Run inference on the default webcam (ID 0) with GPU acceleration:
+```sh
+./main --model path/to/model.onnx --source_type camera \
+  --input 0 --conf 0.55 --use_cuda
+```
+
+#### **Live Camera Inference (Specific Camera ID 1)**
+Run inference on a specific camera (ID 1):
+```sh
+./"Hi @SkalskiP, I have added a README file to the project. Please let me know if you need any further changes or additional information." --model path/to/model.onnx --source_type camera \
+  --input 1 --conf 0.55
+```
+
+#### **Get Help & Available Options**
+```sh
+./main --help
+```
+
+### 🔹 Dependencies
+- **OpenCV** (for image and video processing)
+- **ONNX Runtime** (for model inference)
+- **CUDA** (optional, for GPU acceleration)
+
+---
+
+## 📝 Notes
+
+- Ensure the ONNX model and input image are accessible.
+- On Windows, make sure `onnxruntime.dll` is in the same directory as `main.exe` or added to the `PATH`.
+- Modify `main.cpp` as needed for preprocessing or output handling.
+