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RetinaNet-Pytorch

Describing

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.

This implementation is primarily designed to be easy to read and simple to modify.

Installation

  1. Clone this repo

  2. Install the python packages:

pip install cffi

pip install pandas

pip install cython

pip install pycocotools

pip install opencv-python

pip install requests

Testing

  1. Download the training model and store it in the weights folder,the link address is:

  2. Please run the script:

python eval.py -B battery_txt -A annotation -I image

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Pytorch implementation of RetinaNet object detection.

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