First download caffe from github:
$> git clone https://github.com/BVLC/caffe.git
$> cd caffe
$> cp Makefile.config.example Makefile.config
Make a copy of Makefile.config
Make the following changes to Makefile.config:
Uncomment: CPU_ONLY := 1
Uncomment the right PYTHON_INCLUDE path. If you have anaconda installed, uncomment the anaconda path for PYTHON_INCLUDE and PYTHON_LIB
You might encounter the following error during make runtest:
Error loading shared library libhdf5_hl.so.xx
In such a case, look for libhdf5_hl.so.xx in /usr/lib/x86_64-linux-gnu. If you do not find the correct version .xx and instead .yy, just copy .yy to .xx in the same folder. And it should run. For example, you might have the .7 version but your current caffe installation is looking for .8 version such as the listing shown below:
This is what exists:
Copy above files to the following:
And you are good to go
Here is an interesting talk on deep learning by Andrew Ng.
In recent years latent SVM and discriminative parts models for object detection are one of the most talked about and evaluated codes. The reference site for this work is http://www.cs.berkeley.edu/~rbg/latent/
I am new to linux and recently started using it for a project. Here are some steps to link to a network drive automatically on system startup (like map network drive in Windows)
This is something I found recently. If you have common properties that you want to use for multiple projects in VC++, you can use the property sheet. For example, the include libraries of opencv are the same for all opencv related projects. So when you make a new project, you dont have to include the opencv include libraries again manually. You can just import the property sheet into your project and work from there. Here are the steps to create and import the property sheet.
Found this simple and basic explanation for Big-O notation. Enjoy.
Follow the steps below to set up OpenCV libraries for Visual Studio 2010 in Windows:
Here is a nice link to many programming codes and tools for computer vision:
Here is an interesting book on Mathematics for Computer science…
It gives excellent listing and definitions on mathematical symbols, terminology, proofs etc. used in engineering