FasterRCNN-Encapsulation-Cplusplus
FasterRCNN-Encapsulation-Cplusplus copied to clipboard
YihangLou
Results are different with Python
Hi! Thank you for providing such a good instruction of using faster rcnn with C++. I have successfully compiled the code but the results are really bad. Are there any issues? I used exactly your soft and change the caffe model only.
@buingocnam87 hi，i compiled the project failed.could you show me your experience for me ?
@zhanglaplace Here it‘s the blog writtend by author. I prefer u learn the first one，because the dynamic lib version may case much problem. http://www.cnblogs.com/louyihang-loves-baiyan/p/5485955.html
@Lone5267 yes ,i have read the blog.because my operator system is window。 i attemp to use visual studio to read the python caffemodel , i build the caffe with python support but it still have the error in create python layers.and i want to write a nms functions by myself。
@zhanglaplace It may a tough project to transplant the code from Linux platform to window platform. I've been looking for solutions, but i have no idea about it. I just find the windows version of fast-rcnn. I posted it here: http://m.blog.csdn.net/article/details?id=52618386
may you find the way to solve faster-rcnn and i will fork you :)
thank you all the same. i want to have a try on windows.hope can success
2017-02-22 12:09 GMT+08:00 Lone5267 [email protected]:
@zhanglaplace https://github.com/zhanglaplace It may a tough project to transplant the code from Linux platform to window platform. I've been looking for solutions, but i have no idea about it. I just find the windows version of fast-rcnn. I posted it here: http://m.blog.csdn.net/article/details?id=52618386
may you find the way to solve faster-rcnn and i will fork you :)
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I cannot get any correct detection results using this demo, it seems that it just produced some random bboxes. I was running this demo on Ubuntu 14.04. Does anyone have a clue how to resolve this?
the platform is ubuntu or windows
Feng Zhang 张峰 School of Automation, Huazhong Univ. of Sci. & Tech. 1037 Luoyu Road, Wuhan 430074, P. R. China QQ:476833883 Mobile: +86-13129913417
2017-03-16 15:57 GMT+08:00 handong1587 [email protected]:
I cannot get any correct detection results using this demo, it seems that it just produced some random bboxes. Does anyone have a clue how to resolve this?
[image: vis] https://cloud.githubusercontent.com/assets/2013252/23986771/d8078bd2-0a60-11e7-9a67-1e49879d4ad8.jpg
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@zhanglaplace Hi, I was running this demo on Ubuntu 14.04. Actually I once ported py-faster-rcnn to Windows, but got similar results. I am very confused why this happen :-(
@zhanglaplace After made some modifications, I think I corrected the defects, now it can detect object correctly. One of the modificaiton I made is the 'class_num' in faster_rcnn.hpp:
const int class_num=21; // for pascal voc caffemodel
