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EF-SAI

Paper | EF-SAI Dataset | Pre-trained Models

Synthetic Aperture Imaging with Events and Frames<br>

Wei Liao, Xiang Zhang, Lei Yu, Shijie Lin, Wen Yang, Ning Qiao<br> In CVPR'2022

Dataset

The EF-SAI dataset is used for model training and evaluation. It can be download from Onedrive or Baidudrive

Requirements:

 python 3.6
 pytorch 1.7.1
 torchvision 0.8.2
 numpy, opencv, timm, matlpotlib, prefetch_generator

Code Implementation

Installation

  1. Clone this repo
  2. Install PyTorch and dependencies from http://pytorch.org
  3. Install required python packages

Preparations:

  1. Download validation data from Onedrive or Baidudrive to ./EF-SAI-main/Val_data folder
  2. Download pre-trained model from Onedrive or Baidudrive to ./EF-SAI-main/Pretrained folder

Testing

  1. Change the parent directory to ./EF-SAI-main
  2. Run testing script
python test.py
  1. The results will stored in the Results folder.