Objectness
BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. This code is under BSD License. Objectness Proposal estimator运行代码,已经在linux/mac/windows下测试成功, 执行速度超过1000帧每秒。
This is the 1000 FPS BING objectness linux version library for efficient objectness proposal estimator following the CVPR 2014 paper BING, please consider to cite and refer to this paper.
@inproceedings{BingObj2014, title={{BING}: Binarized Normed Gradients for Objectness Estimation at 300fps}, author={Ming-Ming Cheng and Ziming Zhang and Wen-Yan Lin and Philip H. S. Torr}, booktitle={IEEE CVPR}, year={2014}, }
The original author Ming-Ming Cheng has already released the source code for windows 64-bit platform. In this library, we intend to release the code for the linux/mac/windows users. You can maintain the code with Qt Creator IDE.
Please find the original windows code / FAQ / Paper from this link: http://mmcheng.net/bing/
In order to make the code running as the original version in windows, you need to download the images/annotations PASCAL VOC 2007 data from the website. (http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2007/#testdata)
We have tested the code, it produces the same accuracy results as the original windows version, while it runs at 1111 FPS(frame per second) at Ubuntu 12.04 with a Dell T7600 workstation computer, which has two Intel Xeon E5-2687W (3.1GHz, 1600MHz) and 64 GB 1600MHz DDR3 Memory.
FAQ
- To run the code, you have to install OpenCV in the your ubuntu linux system. We specify the dependencies on opencv at " include_directories(/usr/local/include) link_directories(/usr/local/lib) "
- You can use/debug/change the code with Qt Creator IDE on ubuntu/mac.
Author: Ming-Ming Cheng(程明明) [email protected] Linux Author: Shuai Zheng (Kyle,郑帅) [email protected] Please find more information from http://kylezheng.org/objectness/ Date: 19, February