Implementation of popular deep learning networks with TensorRT network definition API
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Updated
Oct 22, 2024 - C++
Implementation of popular deep learning networks with TensorRT network definition API
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
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
GUI for marking bounded boxes of objects in images for training neural network YOLO
🚀 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.
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.
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.
yolov7-face tensorrt
Extended Object Detection is an ROS package and has ample opportunities for describing objects for detection in the video image.
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
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