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.
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Updated
Mar 9, 2023 - C++
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.
This is a code repository for pytorch c++ (or libtorch) tutorial.
This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server
Got 100fps on TX2. Got 500fps on GeForce GTX 1660 Ti. If the project is useful to you, please Star it.
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.
A modern object detector inside fragment shaders
YoloV4 on a bare Raspberry Pi 4 with ncnn framework
使用darknet训练yolov4-tiny网络模型以进行人脸口罩的目标检测任务,模型由yolo格式转换为ncnn格式并部署于android
Jetson Nano application that detects and tracks vehicles in a roundabout with Yolov4, DeepSort and NvDCF using DeepStream SDK and sends the info to a Kafka message bus.
ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!
tensorrt7, support yolov3 yolov3-tiny yolov4 yolov4-tiny and so on ,if you train at darknet(AB) platform, it can support
NTU Biophotonics and Bioimaging Lab dairy cow face monitoring project. Tensorflow Lite + OpenCV + Raspicam.
yolov3/v4 on tensorrt, with fp32, fp16, int8 support, dynamic batch, image pre-process on gpu
Aim assist based on the YOLO (You Only Look Once) real-time object detection algo and Nvidia CUDA and OpenCV. The model and training set is proprietary - please contact me for more information.
A C++ module for Object Detection and tracking (in this case humans are detected, but 80 classes from COCO dataset can be detected). The coordinates of all the objects detected in the camera frame are transformed into robot reference frame for further processing.
A ROS C++ pacakge for Swarm of 20 robots(TurtleBot3) to perform a search and rescue operation. Each robot navigates autonomously to a designated waypoint, searches for humans, if a human is detected, plans a path to the nearest fire exit, and then returns back to its home location.
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