GrabCut | An implementation of http : //dl.acm.org/citation.cfm

by Orcuslc Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | GrabCut Summary

GrabCut is a Python library. GrabCut has no bugs, it has no vulnerabilities and it has low support. However GrabCut build file is not available. You can download it from GitHub.

An implementation of "GrabCut": interactive foreground extraction using iterated graph cuts. Under GNU General Public License.

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Support

GrabCut has a low active ecosystem.

It has 49 star(s) with 14 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GrabCut is current.

Quality

GrabCut has 0 bugs and 0 code smells.

Security

GrabCut has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

GrabCut code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GrabCut does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

GrabCut releases are not available. You will need to build from source code and install.

GrabCut has no build file. You will be need to create the build yourself to build the component from source.

GrabCut saves you 300 person hours of effort in developing the same functionality from scratch.

It has 722 lines of code, 43 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed GrabCut and discovered the below as its top functions. This is intended to give you an instant insight into GrabCut implemented functionality, and help decide if they suit your requirements.

Plot the matrix
Visualize the image
Return the output of the model
Run the main loop
Refreshes the centers
Determine the types of centers
Run the iteration
Assign the components to the GMM
Return the most likely component of the given pixel
Iteratively build the GMM

Get all kandi verified functions for this library.

GrabCut Key Features

No Key Features are available at this moment for GrabCut.

GrabCut Examples and Code Snippets

No Code Snippets are available at this moment for GrabCut.

Community Discussions

Trending Discussions on GrabCut

Image Segmentation and Masking

Add alpha channel to RGB image

How to separate human body from background in an image

Outline of pixels after detecting object (without convex hull)

AttributeError: module 'cv2.cv2' has no attribute 'samples'

Why does a right click open a drop down menu in my OpenCV imshow() window?

Python OpenCV: Crop image to contents, and make background transparent

Python OpenCV doesn't give same output at the same image

Is it possible to paste an image on top of another in OpenCV?

How to change black color to transparent from a bitmap Mat?

QUESTION

Image Segmentation and Masking

Asked 2021-Apr-27 at 15:29

Need assistance with the simple task. I’m playing around with the LISC dataset that contains hematological images taken from peripheral blood and segmentation masks of manual ground truth for these graphical samples. The task is the following:

Segment isolated leukocytes by removing/cropping irrelevant background elements using the segmentation masks given in the dataset. Try this on one sample only.
Once accomplished, go through the whole folder, and segment/crop the rest of the samples.

Results should be like this (these were obtained via a combination of Mask R-CNN, GrabCut, and OpenCV — but not suitable for the current project I’m working on):

Here is the code that I’ve got so far (from jupyter notebook):

...

ANSWER

Answered 2021-Apr-27 at 15:29

The change in colors is the result of the specified heatmap (viridis instead of binary) as noted above in comments.

The output image has different coloration than the input image because OpenCV uses BGR rather than RGB for colors, so it's likely your red and blue channels are swapped. If you read an image with OpenCV and plot with Matplotlib or vice versa. There are two easy solutions:

1.) Both read and plot images with OpenCV. You can replace plt.imshow(im_orig) with:

Source https://stackoverflow.com/questions/67271730

QUESTION

Add alpha channel to RGB image

Asked 2021-Jan-21 at 14:24

How can I add alpha channel to png image? Precisely I have the background using grabcut function, now I want to add it to the png image.

After that I want to set the alpha channel to transparent by use of a mask

...

ANSWER

Answered 2021-Jan-21 at 14:24

Here is fill channel approach.

Source https://stackoverflow.com/questions/65818690

QUESTION

How to separate human body from background in an image

Asked 2021-Jan-10 at 18:25

I have been trying to separate the human body in an image from the background, but all the methods I have seen don't seem to work very well for me.

I have collected the following images;

The image of the background
The image of the background with the person in it.

Now I want to cut out the person from the background. I tried subtracting the image of the background from the image with the person using res = cv2.subtract(background, foreground) (I am new to image processing).

Background subtraction methods in opencv like cv2.BackgroundSubtractorMOG2() and cv2.BackgroundSubtractorMOG2() only works with videos or image sequence and contour detection methods I have seen are only for solid shapes.

And grabCut doesn't quite work well for me because I would like to automate the process.

Given the images I have (Image of the background and image of the background with the person in it), is there a method of cutting the person out from the background?

...

ANSWER

Answered 2021-Jan-01 at 13:51

Since it is very easy to find dataset consist a lot of human body, I suggest you to implement neural network segmentation tecniques to extract human body perfectly. Please check this link to see similar example.

Source https://stackoverflow.com/questions/65519304

QUESTION

Outline of pixels after detecting object (without convex hull)

Asked 2020-Oct-09 at 16:12

The idea is to use grabcut (OpenCV) to detect the image inside a rectangle and create a geometry with Direct2D.

My test image is this:

After performing the grab cut, resulting in this image:

the idea is to outline it. I can use an opacity brush to exclude it from the background but I want to use a geometric brush in order to be able to append/widen/combine geometries on it like all other selections in my editor (polygon, lasso, rectangle, etc).

If I apply the convex hull algorithm to the points, I get this:

Which of course is not desired for my case. How do I outline the image?

After getting the image from the grabcut, I keep the points based on luminance:

...

ANSWER

Answered 2020-Oct-09 at 16:12

For anyone interested, the solution is OpenCV contours. Working example here.

Source https://stackoverflow.com/questions/64243814

QUESTION

AttributeError: module 'cv2.cv2' has no attribute 'samples'

Asked 2020-May-18 at 09:43

After cloning the GitHub repo of OpenCV, I am trying to run grabcut.py but I am getting error : Traceback (most recent call last): File "grabcut.py", line 114, in img = cv.imread(cv.samples.findFile(filename)) AttributeError: module 'cv2.cv2' has no attribute 'samples'

Here is the link to the file: https://github.com/opencv/opencv/blob/master/samples/python/grabcut.py

...

ANSWER

Answered 2019-Mar-12 at 07:18

samples submodule is available in opencv-python version 4.0.0.21. Use pip install to install that specific version.

Source https://stackoverflow.com/questions/54972811

QUESTION

Why does a right click open a drop down menu in my OpenCV imshow() window?

Asked 2020-May-16 at 17:55

I am trying to run the OpenCV Grabcut Sample on my system:

OpenCV version 4.1.0
Python version 3.6.8
IDLE version 3.6.8
Ubuntu 18.04.2

This is the build information from cv2.getBuildInformation():

In the Grabcut Sample script, I need to 'draw a rectangle around the object using the right mouse button.' For some reason, a drop down menu appears when I click the right mouse button (this is me clicking and holding the right mouse button):

This didn't happen before, but since I reformatted my computer and reinstalled OpenCV I get this drop down menu. The imshow window looks different too. I tried installing lots of video codec packages (from this tutorial), but that didn't help.

This drop down menu interferes with the mouse callback functions. How can I get rid of this drop down menu?

I installed OpenCV with the command pip3 install opencv-contrib-python. I knew I was missing some packages so I tried to install (but failed - 'couldn't find any package by regex...') these packages from this tutorial:

...

ANSWER

Answered 2019-Jun-18 at 20:12

You're using the Qt highgui backend, which looks like it forces the right-click context menu without the ability to disable it without recompilation of opencv. If you didn't see it before, it's likely you were using a different backend.

If you prefer using Qt and don't mind altering the opencv source slightly and rebuilding, it looks like changing the DefaultViewPort::contextMenuEvent() method in file modules/highgui/src/window_QT.cpp to skip building the menu and just returning will probably work (or else have it optionally build the menu due to some flag that you add). Currently, the Qt highgui backend auto-creates the menu using whatever actions are available in the regular menu.

Here's a link to the method in the current opencv master branch as of 2019-06-18:

https://github.com/opencv/opencv/blob/1d2ef6b2a14fd5f80277d64b14e4a9a2faddc7d8/modules/highgui/src/window_QT.cpp#L2697

which has this code:

Source https://stackoverflow.com/questions/56623487

QUESTION

Python OpenCV: Crop image to contents, and make background transparent

Asked 2020-Apr-02 at 17:05

I have the following image:

I want to crop the image to the actual contents, and then make the background (the white space behind) transparent. I have seen the following question: How to crop image based on contents (Python & OpenCV)?, and after looking at the answer, and trying it, I got the following code:

...

ANSWER

Answered 2020-Apr-02 at 17:05

Here is one way to do that in Python/OpenCV.

As I mentioned in my comment, your provided image has a white circle around the cow and then a transparent background. I have made the background fully white as my input.

Input:

Source https://stackoverflow.com/questions/60989084

QUESTION

Python OpenCV doesn't give same output at the same image

Asked 2020-Mar-31 at 21:15

I'm trying to create a program that checks if 2 images are the same. I have the following code which gets executed with both the images:

...

ANSWER

Answered 2020-Mar-31 at 21:15

cv2.grabCut doesn't give deterministic results because the GrabCut algorithm uses built in randomness.

According to Wikipedia:

This is used to construct a Markov random field over the pixel labels...

You may avoid randomness by resetting the seed of the random generator of OpenCV before executing cv2.grabCut:

Source https://stackoverflow.com/questions/60954921

QUESTION

Is it possible to paste an image on top of another in OpenCV?

Asked 2020-Mar-30 at 22:00

I am fairly new to OpenCv and am creating a program that will segment a shoe from its background using GrabCut algorithm, then I want to paste the shoe onto a white background but I am struggling at that part.

I tried cv2.add() to add the two images together but the two images have to be the same size and I can't guarantee that since the program prompts the user to upload the image.

I have also tried whiteBgImg = 255 - grabCutImg to make the background white where the shoe isn't but it seems to affect the final image which is a problem as I need to perform feature detection and matching on the image.

Thank you in advance for the advice! :)

Original image: Original Shoe

Final image (after grabcut and whiteBgImg = 255 - grabCutImg applied): Grabcut Shoe

...

ANSWER

Answered 2020-Mar-30 at 19:19

If you want to put one image in front of the other image, you can do this as follows:

Source https://stackoverflow.com/questions/60937583

QUESTION

How to change black color to transparent from a bitmap Mat?

Asked 2020-Feb-13 at 14:43

Can the mat or umat have null values in the middle? I need it to behave like .png format. If not, how can I achieve this purpose? Mat and Umat act like a rectangle image to me.

I have tried rectangle copy method, grabcut method, but none of the method works right.

I started the code as below:

...

ANSWER

Answered 2019-Apr-03 at 10:04

///////////////// add black as transparency /////////////////
        Bitmap bmpUImage = new Bitmap(plotBox_Method.Image);

        Mat output = new Mat();
        Mat Shading_Image = new Image(bmpUImage).Mat;

        // puting a black rectangle for transparent area later
        Shading_Image.CopyTo(output);
        CvInvoke.Rectangle(output, mask_rect, new MCvScalar(0,0,0), -1);

        Mat imageMat = output;
        Mat finalMat = new Mat(imageMat.Rows, imageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 4);
        Mat tmp = new Mat(imageMat.Rows, imageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 1);
        Mat alpha = new Mat(imageMat.Rows, imageMat.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 1);

        CvInvoke.CvtColor(imageMat, tmp, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
        CvInvoke.Threshold(tmp, alpha, 0, 255, Emgu.CV.CvEnum.ThresholdType.Binary);

        CvInvoke.Imshow("alpha", alpha);

        VectorOfMat rgb = new VectorOfMat(3);

        CvInvoke.Split(imageMat, rgb);

        Mat[] rgba = { rgb[0], rgb[1], rgb[2], alpha };

        VectorOfMat vector = new VectorOfMat(rgba);

        CvInvoke.Merge(vector, finalMat);

        imgPlot.Image = finalMat.ToImage().ToBitmap(); 
        ///////////////// end of add black as transparency /////////////////

Source https://stackoverflow.com/questions/55486889

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install GrabCut

You can download it from GitHub.
You can use GrabCut like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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