OpenCV和潛伏支持向量機探測器

Question

我想知道是否有人成功地使用了潛在支持向量機探測器（http://docs.opencv.org/modules/objdetect/doc/latent_svm.html）的OpenCV實現。有一個示例代碼展示瞭如何利用庫，但問題是示例代碼使用了使用MatLab生成的現成檢測器模型。有人能指導我完成如何生成我自己的探測器模型的步驟嗎？

Answer 1

本文作者的MATLAB實現LatSVM有一個名爲pascal的訓練腳本。有一個與壓縮包，解釋其用途的自述：

 
Using the learning code 
======================= 

1. Download and install the 2006-2011 PASCAL VOC devkit and dataset. 
    (you should set VOCopts.testset='test' in VOCinit.m) 
2. Modify 'voc_config.m' according to your configuration. 
3. Start matlab. 
4. Run the 'compile' function to compile the helper functions. 
    (you may need to edit compile.m to use a different convolution 
    routine depending on your system) 
5. Use the 'pascal' script to train and evaluate a model. 

example: 
>> pascal('bicycle', 3); % train and evaluate a 6 component bicycle model 

The learning code saves a number of intermediate models in a model cache 
directory defined in 'voc_config.m'. 

欲瞭解更多信息，請訪問authors website。該頁面還包含這種方法的論文。