raffael's profile - activity

Hello,

well in the end i couldn't solve the problem using the opencv ximgproc functions. Finally I wrote my own code using parts of the matlab mex code from the microsoft toolbox and it's working fine with my own trained and other models. Another change is not to use de yaml format to read the model. Much faster is it to save it binary and read it then.

Thanks

you mean in the input images? or the images the model was learned? well some images are coming from a scanner, but with the sample images from the package it doesnt work for the trained models too..

Hello,

I am using the Structured Edge Detection Toolbox V3.0 in Matlab where I trained some models. In Matlab the result images are good, and edges are detected correctly. Now I wanted to use OpenCV with the ximgproc solution. Inside this packes there is a matlab function where you can transform your model into the yml format. I followed all the steps, but the result images are every time cloudy and without edges. I tested more models, also the BSDS500 dataset with the same result. Only the model which is in the modul is working fine..

Any suggestions? Someone with the same problem?

Example: Input Image:

Result Image with Model from Ximgproc Package:

Result Image with own trained Models:

Thank you!

Hello,

I have the same problem as above, but when I run build INSTALL project, the missing files aren't created in the opencv\build\x86\vc12\lib folder. I followed this workarounds: link text
link text

thanks