Plug-and-Play Custom Parsers for AI Models in NVIDIA DeepStream SDK. Supported YOLOv11 model.

Implementation of yolo v11 in c++ std 17 over opencv and onnxruntime

xmake onnx runtime yolov5 yolov8 ultralytics examples

基于官方yolov8的onnxruntime的cpp例子修改，目前已经支持图像分类、目标检测、实例分割。Based on the cpp example modification of official yolov8's onnxruntime, it currently supports image classification, target detection, and instance segmentation.

Benchmark program that measures the timing of calculating the histogram of yolo-compatible label data.

Detect and identify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).

ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics

🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下，享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.

NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models