/object_localization_hust

华中科技大学计算机视觉理论课结课作业

Primary LanguagePythonMIT LicenseMIT

华中科技大学电子信息与通信学院计算机视觉理论结课作业

  • 作者: 廖满文、吴雨暄、饶龙、汪潇翔
  • 指导老师: 王兴刚、廖振宇

Course project

  • Object localization using CNN
  • Data: http://xinggangw.info/data/tiny_vid.zip
  • For every class, the first 150 images are used for training the localizer and the rest for testing.
  • Evaluation metric: A correct localization means the predict class label is correct and the predict box has an IoU>0.5 with the ground-truth. You should report the average accuracy and show some localization results.
  • Step #1: implementing the localization network using direct bbox regression
  • Step #2: adding anchors in the localization network
  • Extra credit: multiple object localization using your own network