http://neo4j.com/docs/java-reference/current/
... seems old.
Section 4.2 points to a dead link.
Starting with version 3.0, I can't find examples on github.
https://github.com/neo4j/neo4j/tree/3.0/community
Where are they?
The first link to the java reference should be current for 3.1. As far as the broken link, there's a /manual/ part of the path which really shouldn't be there, try this instead.
I'm new to emgu, and found people are using Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_32F in their implementation. In my program, I don't know why I can not use it. However, I found that I could use Emgu.CV.CvEnum.IplDepth.IplDepth32F. I'm guessing they are the same thing, but I'm using a different version of emgu from other people. I'm using emgu.cv.dll version 3.0.0.2157. I tried to find which version uses Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_32F as other people are using, but didn't get any luck. I probably referred to the wrong place. Can any one tell how to figure out such problems?
Usually when faced with something like this I go to the Emgu.CV web site and look in the API documentation. I checked v2.4.10 and that version uses IPL_DEPTH_32F. If they are using 2.4.10 then you are fine.
I will let you check other versions if necessary.
Doug
Can someone please throw some light on the difference between VVVV.EmguCV and EmguCV.221.x64. I am new to image processing itself.
Do they serve different purposes. As I understand they both are EmguCv wrappers to OpenCv. Is there any thing else to note?
VVVV.EmguCV and EmguCV.221.x64 are just two different packages by separate publishers.
VVVV.EmguCV installs the newer 2.4.X verison of EmguCV where as EmguCV.221.x64 uses the 2.2.X series of Emgu.
Apart from the usual changes EmguCV 2.4.X added support for Android and iOS devices.You can check the difference between the versions here.
The latest release of OpenCV shows 2.4.11 Feb,2015 which is more recent then 3.0.0 which is in Beta. What is the difference between them. Should I use OpenCV 2.4.11 over 3.0.0 as I have encountered few bugs in 3.0.0. How do their releases work?
Though there are new features( like text detection, KAZE detector ) in OpenCV 3.0, for most developers, this comparison is not about features. It is about speed. Unless you are immediately into production, I suggest you use OpenCV 3.0. Also, this is far from adventurous.
The key difference is transparent API in OpenCV 3.0. Almost all OpenCV 3.0 methods are OpenCL accelerated. So, all methods could run on GPU and this could lead to improvement from 10 to 230%. Only change in required in your code is to use UMat where you used to use Mat. Samples(1). If you needed this performance in OpenCV 2.4.*, you had to explicitly invoke cv::ocl::* or cv::gpu::* methods.
If you happen to be a Java developer, it is even better. Java wrappers for classes/methods which were unavailable earlier, are now provided in OpenCV 3.0 ( see widely used KalmanFilter )
There are changes like internal module restructure, which from a
developer point of view, is minor as that could be resolved by
changing OpenCV headers in your code.
About the release cycle, a quick look into OpenCV github repo(2) shows, pull request are mostly going into master branch which is for OpenCV 3.0. So I assume, major bug fixes could be backported to 2.4.* branch.
For more, on differences read (3) and (4). About the bugs you encountered in 3.0 beta, it could helpful, if you could raise them with a minimal complete running sample at OpenCV issues page(5).
3.0.0 should bring a lot of new features but it's currently beta and not the official release (can be unstable). Last official stable release was 2.4.11.
Use the 3.0.0 if there is features you don't retrieve in 2.4.11 or if you are adventurous (3.0.0beta is great and the final release should come soon). If you want security with no additional needs, use 2.4.11.
In addition to the answers provided above, another important difference is that SIFT/SURF feature detection has been taken off the default openCV 3.0 package.
Since they are patented, openCV has moved 'non-free' algorithms to a different package:
opencv_contrib
I was in the process of trying to update my Jena code to a more recent version (currently using 2.6.4). I wanted to use 2.11 but I realized that the Reifier interface is gone in that version. Why was it deprecated and is there an alternative that I can use?
Thanks
After looking around. I found the answer.
http://t5623.apache-jena-development.apacheforum.info/jena-core-simplification-t5623.html