Inpainting | remove something from a photo | Computer Vision library

 by   zavolokas C# Version: 2.0.0.1 License: MIT

kandi X-RAY | Inpainting Summary

kandi X-RAY | Inpainting Summary

Inpainting is a C# library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. Inpainting has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Content aware fill is used to fill in unwanted or missing areas of photographs. See an example of such fill below where we don't want to have the man in blue t-shirt on our picture:.
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            kandi-support Support

              Inpainting has a low active ecosystem.
              It has 340 star(s) with 47 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 14 open issues and 17 have been closed. On average issues are closed in 50 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Inpainting is 2.0.0.1

            kandi-Quality Quality

              Inpainting has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Inpainting is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Inpainting releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              Inpainting saves you 77 person hours of effort in developing the same functionality from scratch.
              It has 200 lines of code, 0 functions and 44 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Inpainting Key Features

            No Key Features are available at this moment for Inpainting.

            Inpainting Examples and Code Snippets

            No Code Snippets are available at this moment for Inpainting.

            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

            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

            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

            Vulnerabilities

            No vulnerabilities reported

            Install Inpainting

            You can download it from GitHub.

            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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