Pytorch implementation of RetinaNet object detection as described in Focal Loss for Dense Object Detection by Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He and Piotr Dollár.

训练结果预测需要用到两个文件，分别是retinanet.py和predict.py。 我们首先需要去retinanet.py里面修改model_path以及classes_path，这两个参数必须要修改。

Retinanet目标检测算法 (简单,明了,易用,全中文注释,单机多卡训练,视频检测) (based on pytorch,Simple, Clear, Mutil GPU) - yatengLG/Retinanet-Pytorch

Fast and accurate object detection with end-to-end GPU optimization - NVIDIA/retinanet-examples

If you installed keras-retinanet correctly, the train script will be installed as retinanet-train. However, if you make local modifications to the keras-retinanet repository, you should run the …

Oct 2, 2021 · This repository is a TensorFlow2 implementation of RetinaNet and its applications, aiming for creating a tool in object detection task that can be easily extended to other datasets …

This is the Keras implementation of RetinaNet for object detection as described in Focal Loss for Dense Object Detection by Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He and Piotr …

Datasets, Transforms and Models specific to Computer Vision - vision/torchvision/models/detection/retinanet.py at main · pytorch/vision

RetinaNet in PyTorch. Contribute to kuangliu/pytorch-retinanet development by creating an account on GitHub.

A tutorial on using the Retinanet deep network to train an object detector on your own data - jaspereb/Retinanet-Tutorial