参考代码
https://github.com/torrvision/Objectness
调试到能运行，花了不少时间，中间读数据集报错这些都能出现的，可怕。
编译成功后，直接运行bing_linux，得到输出
Dataset:`/home/zherlock/Dataset/CV/VOC2007/' with 2501 training and 4952 testing
WinRecall.m Base = 2, W = 8, NSS = 2, perSz = 130
Learning stage I takes 5.27422 seconds...
Learning stage II takes 113.173 seconds...
Start predicting
Average time for predicting an image (MAXBGR) is 0.0426362s
1:0.249,0.304 10:0.478,0.448 100:0.795,0.607 1000:0.96,0.669 2000:0.97,0.673 3000:0.97,0.673 4000:0.97,0.673 5000:0.97,0.673
objectness的原文，我是没有通读过的，大概也是一个训练模型的思想，好像是两级的SVM。
emmmmmmmmmmmmm
接下来，