Search found 157 matches
- Thu Jul 13, 2017, 22:12
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
In order to copy the setting, all you need to do is to perform the steps 4 and 5 of the Installing DGM guide. Please make sure, that the dependencies on the OpenCV are also specified in the “Configuration Properties” of your new project. When you finish, the Configuration properties of your new proj...
- Sun Jul 02, 2017, 14:36
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
It looks like the errors with linking visual studio libraries. I think that copying the properties files does not work.
- Sun Jul 02, 2017, 00:43
- Forum: Direct Graphical Models
- Topic: DGM lib for Ubuntu
- Replies: 6
- Views: 16224
Re: DGM lib for Ubuntu
Hi, Paperclip
actually, Florian submitted no solution to build the DGM under Ubuntu.
However, since then, the DGM library has now CMake files.
I am sure that a Linux expert could modify CMakelists.txt with the cmake/types.h.in files to build the DGM with gcc in Ubuntu.
actually, Florian submitted no solution to build the DGM under Ubuntu.
However, since then, the DGM library has now CMake files.
I am sure that a Linux expert could modify CMakelists.txt with the cmake/types.h.in files to build the DGM with gcc in Ubuntu.
- Tue Jun 27, 2017, 21:07
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
I can’t say from the attached image the reason for these two errors... “print_help” seems very strange to me, have you copied the source code of the demo_train completely? As a remedy, and in order to gain fast results, I would suggest you to edit the demo_train code directly in the library. Optiona...
- Wed Jun 21, 2017, 21:48
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
The errors in Random.h CameraControl.h and AveragePrecision.cpp are caused by the fact, that your Visual Studio does not fully support the C++11 standard. Here, I can suggest you 2 solutions: ⋅ Download and Install Visual Studio 2015 (or 2017) Community (free): https://www.visualstudio.co...
- Sun Jun 18, 2017, 14:30
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
These mistakes may be result of that fact that vc2013 does not fully support c++11. DGM 1.4.2 also uses c++11. If you use 1.5.1 you have to apply CMake for generating the visual studio solution. You can try to uncheck the support of the PPL in CMake configuration procedure. That must reduce the numb...
- Sat Jun 17, 2017, 12:07
- Forum: Direct Graphical Models
- Topic: Consult about DGM
- Replies: 1
- Views: 7620
Re: Consult about DGM
Dear Bryan, I have just compiled the branch DGM opencv_2.4.13 with the OpenCV2.4.13. There were no mistakes with the Visual Studio 2015, however, this branch was derived few months ago, when the current version was 1.5.0, and thus it builds the libraries and binaries with prefix *150d.lib / *150d.dl...
- Sat Jun 17, 2017, 12:03
- Forum: Direct Graphical Models
- Topic: DGM compile error
- Replies: 13
- Views: 31970
Re: DGM compile error
Which version of the DGM do you use? 1.5.1 or 1.4.2?
As far as I understand from the mistakes, you have to update your Visual Studio at least till Visual Studio 2015. You can download a free version of the visual studio from the Microsoft web site.
As far as I understand from the mistakes, you have to update your Visual Studio at least till Visual Studio 2015. You can download a free version of the visual studio from the Microsoft web site.
- Mon May 29, 2017, 22:17
- Forum: Direct Graphical Models
- Topic: Classification regularization using CRF
- Replies: 5
- Views: 15000
Re: Classification regularization using CRF
What exactly goes wrong in the decoding part? Any errors or bad outcome?
Could you create a bug report here?
Could you create a bug report here?
- Wed May 10, 2017, 08:55
- Forum: Direct Graphical Models
- Topic: Training of a random model.
- Replies: 10
- Views: 60481
K-Nearest Neighbors Model
A new discriminative classifier is based on k -nearest neighbors algorithm (KNN), where the input consists of the k closest training samples in the feature space and the output depends on k-Nearest Neighbors. Its results for our test setup are depicted at Fig. 9 . As the another discriniative method...