给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本

使用pyqt5构建的yolov5可视化软件。use pyqt5 to build yolov5.

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

yolov3 with mobilenet v2 and ASFF

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

ATSS (retina) 39.6mAP on COCO,640px(max side),42.95fps(RTX 2080TI)<<Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection>>

Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).

CCFDF AI 数钢筋大赛

An implementation of RetinaNet in PyTorch.

Focal Loss for Dense Rotation Object Detection

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these meth…

Keras implementation of RetinaNet object detection.

【深度学习】RetinaNet_RegNetX-800MF_FPN_1x_COCO_金属表面缺陷检测与分类模型解析

OpenMMLab Detection Toolbox and Benchmark

RetinaNet目标检测模型训练与性能优化从数据集准备到模型部署

A PyTorch framework that handles object detection across 6 different architectures (RetinaNet, Faster R-CNN, SSD, FCOS, and more). Takes care of the optimization setup and training quirks for each …

Modern PyTorch toolkit for the VisDrone aerial object detection dataset with production-ready training pipelines, real-time inference, and format converters. Features state-of-the-art models (Faste…

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Pytorch implementation of RetinaNet object detection.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.