Inpainting | remove something from a photo | Computer Vision library
kandi X-RAY | Inpainting Summary
kandi X-RAY | Inpainting Summary
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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QUESTION
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 ...ANSWER
Answered 2022-Mar-14 at 16:58Get the Edges
Dilate to close the lines
Hough line to detect the lines
Filter out the non horizontal lines
Inpaint the mask
Getting the Edges
QUESTION
Here's the code:
...ANSWER
Answered 2021-Nov-12 at 14:09You 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
QUESTION
ANSWER
Answered 2020-Sep-21 at 12:57Here 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.
QUESTION
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 14:56If 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.
QUESTION
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 08:02Mainly, dilate the mask
used for the inpainting. Also, enlarging the inpaint radius will give slightly better results.
That'd be my suggestion:
QUESTION
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 09:06It'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 ;-)
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