inpaint | : pencil2 : Inpaint is a C++ library providing image | Computer Vision library

 by   cheind C++ Version: Current License: Non-SPDX

kandi X-RAY | inpaint Summary

kandi X-RAY | inpaint Summary

inpaint is a C++ library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow applications. inpaint has no bugs, it has no vulnerabilities and it has low support. However inpaint has a Non-SPDX License. You can download it from GitHub.

Inpaint is a C++ library providing implementations of image inpainting and image completion methods. Image inpainting is the process of recovering or restoring image regions in a way that is non-detectable for an observer who does not know the original image. While inpainting refers to restoring rather small regions such as scratches and other video artefacts, image completion deals with removal / restoring of large image parts. Inpaint focuses on the task of object removal and is therefore optimized to work with large areas of reconstruction. Below is a side-by-side view of two images. On the left the original image, on the right the modified image as produced by Inpaint, after the user selected the rope to be removed.
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            kandi-support Support

              inpaint has a low active ecosystem.
              It has 145 star(s) with 45 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 15 have been closed. On average issues are closed in 6 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of inpaint is current.

            kandi-Quality Quality

              inpaint has 0 bugs and 0 code smells.

            kandi-Security Security

              inpaint has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              inpaint code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              inpaint has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              inpaint releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            inpaint Key Features

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            inpaint Examples and Code Snippets

            No Code Snippets are available at this moment for inpaint.

            Community Discussions

            QUESTION

            Remove horizontal lines with Open CV
            Asked 2022-Mar-15 at 13:22

            I am trying to remove horizontal lines from my daughter's drawings, but can't get it quite right.

            The approach I am following is creating a mask with horizontal lines (https://stackoverflow.com/a/57410471/1873521) and then removing that mask from the original (https://docs.opencv.org/3.3.1/df/d3d/tutorial_py_inpainting.html).

            As you can see in the pics below, this only partially removes the horizontal lines, and also creates a few distortions, as some of the original drawing horizontal-ish lines also end up in the mask.

            Any help improving this approach would be greatly appreciated!

            Create mask with horizontal lines

            From https://stackoverflow.com/a/57410471/1873521

            ...

            ANSWER

            Answered 2022-Mar-14 at 16:58
            1. Get the Edges

            2. Dilate to close the lines

            3. Hough line to detect the lines

            4. Filter out the non horizontal lines

            5. Inpaint the mask

            6. Getting the Edges

            Source https://stackoverflow.com/questions/71425968

            QUESTION

            Delayed rendering of the image - Skia ASP
            Asked 2022-Mar-13 at 21:46

            I'm trying to draw a set of images with SkiaSharp, convert them to byte array, and send to HttpContext stream. For some reason, every image is being displayed in the browser only when the next image has been rendered and sent to the HTTP stream.

            • After rendering the 1st image, browser shows empty white area, no image
            • After rendering the 2nd image, browser shows 1st image
            • After rendering the 3rd image, browser shows 2nd image, and so on

            Here is the Web API controller. Uncommenting second drawShapes call will make it work, but I would like to understand why image rendering is delayed. Maybe I just don't call some important method, like Flush or something similar?

            Also, this is not an ASP issue, because I tried rendering images with System.Drawing.Common and images were rendered in real time without delay.

            Does anybody know what is missing in this method?

            ...

            ANSWER

            Answered 2022-Mar-13 at 21:46

            This was answered in SkiaSharp discussions. https://github.com/mono/SkiaSharp/discussions/1975

            Possible solutions are to make sure to Encode image only after all drawings are done or to call Encode on bitmap instead of image.

            The simplest one is to replace this line.

            Source https://stackoverflow.com/questions/71454879

            QUESTION

            How to retain changes across app modes in a streamlit program?
            Asked 2021-Nov-12 at 14:09

            Here's the code:

            ...

            ANSWER

            Answered 2021-Nov-12 at 14:09

            You should use the session state to save this type of information - https://docs.streamlit.io/library/api-reference/session-state

            You can think of it as a dictionary that is not lost on page reload.

            For your case writing something like

            Source https://stackoverflow.com/questions/69938279

            QUESTION

            OpenCV For remove watermark
            Asked 2021-Oct-13 at 17:08

            I am trying cv2.inpaint, if you add watermark by myself, and then use cv2.inpaint, the result is perfect.

            But, if I use internet image like below:

            Source Image

            Watermark image

            The result is bad.

            Here is the code

            ...

            ANSWER

            Answered 2021-Oct-13 at 17:00

            It seems that the watermark mask and the watermark in the image are not aligned, you can dilate the mask to compensate for small mis-alignments.

            Code with dilate that removes the watermark properly:

            Source https://stackoverflow.com/questions/69551664

            QUESTION

            Can't write frames to a video with multiprocessing + cv2
            Asked 2021-Apr-24 at 15:29

            I have a code which breaks down a video into frames and edits the image and puts it back into a video, but I am realizing that it's really slow... So I looked into multiprocessing for speeding up the code, and it works! As I can see it processes the images much faster, but the problem is, when I add those frames to a new video, it doesn't work, the video remains empty!

            Here is my code:

            ...

            ANSWER

            Answered 2021-Apr-24 at 15:29

            I am not that familiar with OpenCV, but there seems to be a few things that should be corrected in your code. First, if you are running under Windows, as you appear to be because you have if __name__ == '__main__': guarding the code that creates new processes (by the way, when you tag a question with multiprocessing, you should also tag the question with the platform being used), then any code at global scope will be executed by every process created to implement your pool. That means you should move if __name__ == '__main__': as follows:

            Source https://stackoverflow.com/questions/67231494

            QUESTION

            cross kernel 2D convolution with NAs in R
            Asked 2021-Feb-24 at 07:33

            I have a matrix that has NAs. I aim to fill them in using the mean of the 4 neighboring values (a cross pattern). This is the "cross" pattern kernel:

            ...

            ANSWER

            Answered 2021-Feb-24 at 07:33

            As ifelse is vectorized we can move that outside of for loop to get some improvements:

            Source https://stackoverflow.com/questions/66337403

            QUESTION

            Removing White Text with Black Borders From Image
            Asked 2020-Sep-21 at 18:21

            I am trying to remove text from images that has a black border with white fill. Take the image below as an example.

            I have tried a few options utilizing opencv and skimage inpaint

            ...

            ANSWER

            Answered 2020-Sep-21 at 12:57

            Here is the best solution I could come up with, still open to others with more experience showing me a better way if anyone has an idea.

            Source https://stackoverflow.com/questions/63986588

            QUESTION

            How to remove watermark from text document using openCV python?
            Asked 2020-Jul-26 at 03:24

            I am new to OpenCV, I need help removing the watermark from this image, I tried using inpaint but I want a more automated way of feature mapping and inpainting, pls help me with it.

            ...

            ANSWER

            Answered 2020-Jul-25 at 14:56

            If all your images are like this and have a watermark as shown in the question having a light gray watermark then a simple thresholding operation will work.

            Source https://stackoverflow.com/questions/63088442

            QUESTION

            Why does the inpaint method not remove the text from IC image?
            Asked 2020-Mar-03 at 08:06

            I am trying to mask out the marking on an IC but the inpaint method from OpenCV does not work correctly.

            The left image is the original image (after cropping the ROI). The middle image is the mask I generated through threshholding. The right image is the result of the inpainting method.

            This is what I did:

            ...

            ANSWER

            Answered 2020-Mar-03 at 08:02

            Mainly, dilate the mask used for the inpainting. Also, enlarging the inpaint radius will give slightly better results.

            That'd be my suggestion:

            Source https://stackoverflow.com/questions/60501986

            QUESTION

            Fast numpy indexing for interpolation of an image
            Asked 2020-Feb-06 at 19:06

            I have an image that has a bunch of dead pixels in it. In python, I have one numpy array that will hold the final image, and I have another boolean numpy array of the same shape that indicates which pixels need to be filled in.

            I want to fill in the dead pixels by taking the average of the 8 surrounding pixels, but only if they actually hold data. For example, if I have this (N means there is no data there, ? is the pixel to fill in):

            ...

            ANSWER

            Answered 2020-Feb-04 at 09:06

            It's rather hard to help you because you haven't provided a Minimum Complete Verifiable Example of your code with all the import statements and code showing how you open your images, or even indicated whether you are using OpenCV or PIL or skimage. Also, you haven't provided the second file with the mask of all the points that need in-painting, nor do I know what you are actually trying to achieve, so for the moment, I am just trying to provide a method that looks to me like it gets a similar result to the one you show.

            Anyway, here's a method that uses morphology and takes 100 microseconds on my Mac - which may not be anything like whatever you are using ;-)

            Source https://stackoverflow.com/questions/59994635

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

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            You can download it from GitHub.

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