Implementation of popular deep learning networks with TensorRT network definition API
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Updated
Dec 6, 2024 - C++
Implementation of popular deep learning networks with TensorRT network definition API
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
GUI for marking bounded boxes of objects in images for training neural network YOLO
awesome AI models with NCNN, and how they were converted ✨✨✨
基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
YoloV7 for a bare Raspberry Pi using ncnn.
yolov7-face tensorrt
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
使用ONNXRuntime部署YOLOV7人头检测,包含C++和Python两个版本的程序
YoloV7 for a Jetson Nano using ncnn.
Extended Object Detection is an ROS package and has ample opportunities for describing objects for detection in the video image.
The University of League Assistants
Exporting custom Yolov7 weight and inference using OpenCV in C++
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