Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed last year.
Improve this question
I need to find some library(can be commercial) to detect the rectangle shapes from pictures like this one:
What libraries do you think they can do the job?
Also, I know there are many algorithms in image processing, which one you think can do this?
Thanks!
A quick attempt with Mathematica 8 produced this solution. It would be easy to play around some details.
Create a binary mask of the black ink, and then remove the small components (the digits):
binary = Binarize[img, .5];
bclean = ColorNegate[DeleteSmallComponents[ColorNegate[binary]]];
Now compute the connected components and remove the background component:
comp = DeleteBorderComponents[MorphologicalComponents[bclean]];
I assessed the result visually, using the command Colorize[comp].
From there on, the command ComponentMeasurements would get you to further analysis of the blobs you are interested in (cf. http://reference.wolfram.com/mathematica/ref/ComponentMeasurements.html).
Related
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 3 years ago.
Improve this question
I need a dataset for my future project based on image processing, hand recognition. I need a minimum of 5 hand position and orientation and a minumim of 200 images per set.
I want to know if there are websites where I can find a great variety of datasets.
I recommend you to search here: http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#gesture.
I needed this for a project too and I found a lot of variations here. It also depends on what kind of gestures you are looking for, but I think you will find here what you need.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 4 years ago.
Improve this question
Which programming language has best possible image filter and also provide art photo effect and oil paint effect. I've also tried in php-imagick, python-opencv, css, and javascript but they do not exactly provide art effect and oil paint effect.
Prisma app also provide art and oil paint effect but they use neural network and ai technology so how can I use this both technology for my project.
As you have mentioned php-imagick and python-opencv, what you need is a library that provides you the tools you want, the programming language is irrelevant.
Have a look at G'MIC and the image gallery.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 6 years ago.
Improve this question
Does anyone know of or have a good tool for labeling image data to be used in training a DNN?
Specifically labeling 2 points in an image, like upperLeftCorner and lowerRightCorner, which then calculates a bouding box around the specified object. That's just an example but I would like to be able to follow the MSCoco data format.
Thanks!
You might try LabelMe, http://labelme.csail.mit.edu/Release3.0/
It's usually for outlines for segmentation, but I'm pretty sure it works fine for bounding boxes too.
I had a similar issue finding a tool that did bouding boxes for labeling image data, so I started this new project called LabelD (https://github.com/sweppner/labeld) that uses NodeJS and focuses on bouding boxes for annotation. It's still very much in alpha, but it's pretty easy to use and functional for labeling images!
Let me know if you have any questions!
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 7 years ago.
Improve this question
I am working on a project wherein I am supposed to detect human beings from a live video stream which I get from a UAV's camera module. I do not need to create any rectangles or boxes around detected subjects, but just need to reply with a yes or no. I am fairly new to Open-CV and have no prior experience.
What I have tried:
I started by training my SVM on HOG features. My team gathered a few images from a UAV we had, with people in it. I then trained the SVM from the crops of those people. We got unsatisfactory results when we used the trained detector on the a video from sky with people. Moreover processing each frame turned out to be very slow , therefore the system became unusable.(it did work on still images to some extent).
My question:
I wanted to know if there is some other technique, library etc I could try for achieving good results. Please point me to the next step.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 8 years ago.
Improve this question
I have found OpenCV code that uses CvGaussBGStatModelParams structure, cvCreateGaussianBGModel, and other related functions. However, I haven't been able to find any explanations for how they work and how they are to be used and what they mean.
Any help would be appreciated.
These functions are undocumented (at least as far as the manual goes). However, if you look around in the source, you will find them in src/cvaux/cvbgfg_gaussmix.cpp. In there:
This is based on the "An Improved
Adaptive Background Mixture Model for
Real-time Tracking with Shadow
Detection" by P. KaewTraKulPong and R.
Bowden
http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf
The windowing method is used, but not
the shadow detection. I make some of
my own modifications which make more
sense. There are some errors in some
of their equations.
That link is probably a good start for you.