Implementation of popular deep learning networks with TensorRT network definition API
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Updated
Jun 7, 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。
NVIDIA DeepStream SDK 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.🍎🍎🍎
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.
A caffe implementation of MobileNet-YOLO detection network
🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.
A real-time object detection framework of Yolov3/v4 based on caffe
GUI for marking bounded boxes of objects in images for training neural network YOLO
small c++ library to quickly deploy models using onnxruntime
orb-slam2 with semantic label
A windows caffe implementation of YOLO detection network
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
Faster R-CNN / R-FCN 💡 C++ version based on Caffe
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