Yolox Python Packages

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

libonvif

Onvif library with GUI implementation and built in YOLOX

torchyolo

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8

yolox-backbone

yolox_backbone is a deep-learning library and is a collection of YOLOX Backbone models.

torchlm

💎An easy-to-use PyTorch library for face landmarks detection: training, evaluation, inference, and 100+ data augmentations.🎉

onvif-gui

A client gui for Onvif

cayenue

Onvif library with GUI implementation and built in YOLOX

paddledet

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

akiwi

Automatic code download tool.

asone

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

mmyolo-open

OpenMMLab Toolbox of YOLO

trtpy-dev

TensorRTPro python interface

yolov7-d2

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

label-convert

A tool for object detection and image segmentation dataset format conversion. Supports conversion between labelme tool annotated data, labelImg tool annotated data, YOLO, PubLayNet and COCO data set formats.

visaionmmyolo

OpenMMLab Toolbox of YOLO

visaion4mmyolo

OpenMMLab Toolbox of YOLO

visaion5mmyolo

OpenMMLab Toolbox of YOLO

rheioyu58

No description available

trtpy

C++ library based on tensorrt integration

py-sues

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

ppdet-notebook

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.