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
🛠 A lite C++ toolkit that contains 100+ Awesome AI models (Stable-Diffusion, FaceFusion, YOLO series, Face/Object Detection, Seg, Matting, etc), support MNN, ORT and TensorRT. 🎉🎉
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
C++ library based on tensorrt integration
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
🍅 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.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
🔥 (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 c++ implementation of yolov5 and deepsort
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
awesome AI models with NCNN, and how they were converted ✨✨✨
YOLOv5 ONNX Runtime C++ inference code.
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
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