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
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
A caffe implementation of MobileNet-YOLO detection network
🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.
GUI for marking bounded boxes of objects in images for training neural network YOLO
A real-time object detection framework of Yolov3/v4 based on caffe
small c++ library to quickly deploy models using onnxruntime
orb-slam2 with semantic label
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
基于opencv的4种YOLO目标检测,C++和Python两个版本的实现,仅仅只依赖opencv库就可以运行
A windows caffe implementation of YOLO detection network
Faster R-CNN / R-FCN 💡 C++ version based on Caffe
This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.
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