The PyTorch Implementation based on YOLOX of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
-
Updated
Jul 27, 2021
The PyTorch Implementation based on YOLOX of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline
a Pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021"
Demos for how to use the shared libs of Lite.AI.ToolKit🚀🚀🌟. (https://github.com/DefTruth/lite.ai.toolkit)
NASA Space Apps 2021 Submission for AI/ML plastic marine debris problem statement
ADAS app, for driving safty .YOLOX tiny + lane detection on Android with 15 FPS!
使用OpenCV部署YOLOX,支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构,包含C++和Python两种版本的程序
My Baseline Solution for COTS(crown-of-thorns starfish) Competition in Kaggle using YoloX for Multi-Object Detection
Implementation of various Yolox models in C++.
🚀🚀🌟 YOLOX with NCNN/MNN/TNN/ONNXRuntime C++. (https://github.com/DefTruth/lite.ai.toolkit)
yolox_backbone is a deep-learning library and a collection of YOLOX Backbone models.
Add a description, image, and links to the yolox topic page so that developers can more easily learn about it.
To associate your repository with the yolox topic, visit your repo's landing page and select "manage topics."