The PyTorch Implementation based on YOLOX of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
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Updated
Jul 27, 2021
The PyTorch Implementation based on YOLOX of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Simple reasoning code, just run demo.mlx
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.
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