How to train samples in opencv [closed] - c++

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Closed 10 years ago.
I'm working on my final year project on ocr in opencv,i have done segmentation of the image and feature extraction,now i have to train to make it recognize the alphabet ,give me an idea of how to do that

I don't know what you have done until now and what feature set you are using. Anyway below links will be a good start.
1) Basic OCR in OpenCV - It uses k-Nearest Neighbours
2) Also try this : Simple Digit Recognition OCR in OpenCV-Python
3) OpenCV samples come with an letter-recongnition sample. Have a look at that!!
Finally, work yourself a lot on your project. Google for your doubts. If you don't find any way,
come here, tell what you have done, and now what is stopping you.

Related

Implementing Naive Bayes using SAS Enterprise Miner 7.1 [closed]

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Closed 10 years ago.
I have been trying to implement the Naive Bayes and OneR classification algorithm using SAS Enterprise Miner 7.1.
The problem is I have not been able to find a Node that I can drag onto the diagram and do that. Is there any way to implement these algorithms directly in SAS without having to write additional SAS Script?
See: http://listserv.uga.edu/cgi-bin/wa?A2=ind1202c&L=sas-l&D=0&P=2796
I don't think this is possible using a native node. The above link suggests that Rick Wicklin did write something that might help here, but it's beyond my google-fu. You might re-ask this question on the SAS-L mailing list (email to sas-l#listserv.uga.edu or find the Google Group).

how to add a library to xcode [closed]

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Closed 10 years ago.
this has been asked plenty of times, but I always find them hard to follow. Its quite simple.
How do you add a library and/or framework to xcode and/ or your xcode project. I need all the steps between downloading the library, to typing the #include in the code. But I also need some context behind each step, other wise it won't stick in my mind and I'll back here in a week. Bear in mind I have an limited understanding of the xcode development environment. Thanks in advance.
Follow the screenshots and you are good to go

Anyone have the algorithm for determine if a hand of Mahjong game wins or not? [closed]

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Closed 10 years ago.
I am reading some introduction of an ancient Chinese game called Mahjong (a bit like poker but far more complicated). I have been spending couple days in writing a program to determine if a given hand is a win hand or not. Do anyone have any idea or know where can I find the free code for that? I only need the part to determine win/lose, I am not looking for the entire project. Thanks.
There is this cool Python library that can be used for scoring of a Mahjong hand given a situation. I know you are working in C++, but since python is highly readable, even to non-python coders, maybe you'll be able to copy/paste and edit the relevant part so you'll be able to use them.
Hope that helps you in some way.

How to draw data flow graphs in Qt? [closed]

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Closed 10 years ago.
I would like to know if there is an already samples of doing data flow graphs using QT graphics API.
I would like to see some samples to get started with.
Qt comes with various examples that might help you get started.
The following two examples come to mind:
The Diagram Scene Example
Elastic Nodes Example
Have a look at those for some inspiration.
Qt-based, but a separate project which is possibly more along the lines of what you're looking for is NUKEEngine's Qt Node Editor.

Advice on Creating a DBMS [closed]

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Closed 11 years ago.
I am looking at ways of creating my own DBMS from scratch in C++ (just for fun and educational purposes). I am stuck with the place to start it. Can anybody tell me how I should begin (design) this. Will postgresql code and the architecture be of any help?
Thanks in advance.
Have a look at SQLite and its doccumentation. it might be a good point to start.
Start by reading "Transaction Processing: Concepts & Techniques" by Gray and Reuter. It goes through all the major components of a DBMS. Following the references is very interesting.
It is almost 20 years old now, but still very relevant.