最近准备实践一下 poly-yolo，所以多做一些笔记。
论文原作者的poly-yolo项目在GitLab上面Poly-YOLO。
该项目基于tensorflow1.15
在Github上面页有一些复现。
1、任意多边形检测
介于目标检测与实例分割之间，可用于检测指定边数，任意多边形的神经网络。基于Yolov5模型进行开发。
本项目基于该项目进行二次开发/ultralytics/yolov5/
项目是基于pytorch实现的。
Yolo-ArbPolygon
2、poly-yolo keras
poly-yolo
3、polyp_detection_based_on_yolov3
项目基于pytorch
polyp_detection_based_on_yolov3
We apply YOLO v3 on polyp detection
The data is from CVC colon DB, 380 photos from 15 pieces of colonoscopy.
We retrained the network for 1000 epoch with batch size of 16, 80% of data for training and 20% for testing.
The result is as shown, and the highest one reached the 96.9% of mAP.
The weight is on /file/d/1R1rT2CjVm6U1NijyHUgef7aUpLbgI86l/view?usp=sharing, use detect.py to detect new images.
polyp_detection_based_on_yolov3
4、poly-YOLOv3
poly-YOLOv3
项目基于pytorch
poly-YOLOv3
An arbitrary 4-points polygons detector based on YOLOv3
Work in progress, might never be finished !
5、Poly-YOLO
Poly-YOLO
项目基于pytorch实现
Poly-YOLO
This repo contains pytorch implementation of CVPR Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
6、yolov3-polygon
yolov3-polygon
项目基于pytorch实现
This is a implementation of rotation object detecion based on YOLOv3-quadrangle. I upgraded it to support pytorch 1.1 or higher and fix some bugs. Object detection in arbitrary orientations is achieved by detecting four corner points, the model has been tested on remote sensing dataset UCAS-AOD. The results and trained models can be found here.
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