GaussianBlur | fast library to apply gaussian blur filter | Computer Vision library
kandi X-RAY | GaussianBlur Summary
kandi X-RAY | GaussianBlur Summary
🎩 An easy and fast library to apply gaussian blur filter on any images.
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Top functions reviewed by kandi - BETA
- Toggles the visibility of the view
- Calculates the alpha value of the button
- Get the alpha value
- Returns an animation listener adapter which can be used to visualize the view
- Called when the view is created
- Binds the image
- Returns the resource identifier for the named event
- Initialize this sprite
- Method called when a touch view is pressed
- Run unblur event
- Obtain a new anim with the specified view
- Put a bitmap in imageView
- Store a drawable to an image
- Puts image to image
- On attach
- Adds a listener to the list of registered listeners
- Override this method to be overridden in subclasses
- Removes a listener from the list of registered settings changes
- Initializes the activity
- Notify listeners that track changes
- Set the label s title
- Draw the path
- Set the icon to be selected
- Gets the item at a position
- On createOptions menu
GaussianBlur Key Features
GaussianBlur Examples and Code Snippets
Community Discussions
Trending Discussions on GaussianBlur
QUESTION
I was wondering if I can translate this opencv-python method into Pillow as I am forced furtherly to process it in Pillow.
A workaround I thought about would be to just save it with OpenCV and load it after with Pillow but I am looking for a cleaner solution, because I am using the remove_background() method's output as input for each frame of a GIF. Thus, I will read and write images N * GIF_frames_count times for no reason.
The method I want to convert from Pillow to opencv-python:
...ANSWER
Answered 2022-Mar-28 at 08:07Rather than re-writing all the code using PIL equivalents, you could adopt the "if it ain't broke, don't fix it" maxim, and simply convert the Numpy array that the existing code produces into a PIL Image that you can use for your subsequent purposes.
That is this described in this answer, which I'll paraphrase as:
QUESTION
ANSWER
Answered 2022-Mar-18 at 10:04We may use dilate instead of GaussianBlur, use RETR_EXTERNAL instead of RETR_TREE, and keep only the large contours.
Inverse the
threshold:
QUESTION
I am using background subtraction to identify and control items on a conveyor belt. The work is very similar to the typical tracking cars on a highway example. I start out with an empty conveyor belt so the computer knows the background in the beginning. But after the conveyor has been full of packages for a while the computer starts to think that the packages are the background. This requires me to restart the program from time to time. Does anyone have a workaround for this? Since the conveyor belt is black I am wondering if it maybe makes sense to toss in a few blank frames from time to time or if perhaps there is some other solution. Much Thanks
...ANSWER
Answered 2022-Jan-31 at 14:14You say you're giving the background subtractor some pure background initially.
When you're done with that and in the "running" phase, call apply() specifically with learningRate = 0. That ensures the model won't be updated.
QUESTION
I have this image for a treeline crop. I need to find the general direction in which the crop is aligned. I'm trying to get the Hough lines of the image, and then find the mode of distribution of angles.
I've been following this tutorialon crop lines, however in that one, the crop lines are sparse. Here they are densely pack, and after grayscaling, blurring, and using canny edge detection, this is what i get
...ANSWER
Answered 2022-Jan-02 at 14:10You can use a 2D FFT to find the general direction in which the crop is aligned (as proposed by mozway in the comments). The idea is that the general direction can be easily extracted from centred beaming rays appearing in the magnitude spectrum when the input contains many lines in the same direction. You can find more information about how it works in this previous post. It works directly with the input image, but it is better to apply the Gaussian + Canny filters.
Here is the interesting part of the magnitude spectrum of the filtered gray image:
The main beaming ray can be easily seen. You can extract its angle by iterating over many lines with an increasing angle and sum the magnitude values on each line as in the following figure:
Here is the magnitude sum of each line plotted against the angle (in radian) of the line:
Based on that, you just need to find the angle that maximize the computed sum.
Here is the resulting code:
QUESTION
I have simple rounded rectangle but like 4 side or like draw circular with radius: width/2 the 4 corners are not smooth. I add some effect like Gaussian blur but can not handle that.
I tried with Bezier curve but I had some issues. As you can see these images the dirty of corners is obviously.
corners (not smooth):
other side (smoothed):
...ANSWER
Answered 2021-Jul-31 at 07:35This is just regular antialiasing playing here. Running the code with antialiasing: false in Rectangle will result in a jagged edge instead of a blurry edge:
In rasterisation (converting mathematic shapes into pixels) there is always a tradeoff between jaggyness and blurryness. When used in a application with more complex shapes this won't be noticable any more!
For more information on this topic the keywords would be: rasterisation, aliasing, antialiasing.
Here is the minimal example of it working without the blurry edge but aliased:
QUESTION
I'm trying to create a program that will take a long time to explain here, so I'm gonna tell you guys the part that I need help with.
Here I need to detect a rectangle(which will be a license plate in our example). It does the recognition almost perfectly but I want it more precise. Here is the example image I used.
As you can see, It does a fairly good job at finding it but I want to take the rounded corners into consideration too.
Here is the source code
...ANSWER
Answered 2021-Dec-20 at 04:13First of all, in your find_edges function, I replaced the line screenCnt = approx with screenCnt = c, in order to keep all the coordinates in the resulting detected contour:
QUESTION
ANSWER
Answered 2021-Dec-01 at 05:17Here is one way to do that in Python/OpenCV.
Threshold the image. Then use morphology to fill out the rectangle. Then get the largest contour and draw on the input.
Input:
QUESTION
I'm making a bloom system as a project in pygame. The code for the bloom works, but with how it is converted from pygame.Surface to np.array, it looses its alpha layer.
This is the code:
...ANSWER
Answered 2021-Nov-16 at 20:44pygame.surfarray.array3d() only returns the RGB channels of the surface.
You have to concatenate the RGB color channels and the Alpha channel. The Alpha channel can be get with pygame.surfarray.array_alpha():
QUESTION
I'm trying to edit an avatar image from my discord users with a GaussianBlur filter, crop it to a circle and overlay an image. So all of these things work, but the cropped gifs have corners, I don't want them. It should be transparent. I searched a lot for a solution but can't find it. I'm inexperienced in coding with python's pillow library and don't know how I could fix it.
My current code transforms this (PICTURE 1):
into this (PICTURE 2):
but it should be this (working for static images but GIFs should keep their animation at the end):
Like you can see my cropped GIF image has white corners. It doesn't contain them if PICTURE 1 is a PNG. So how can I remove these white corners?
And that is my currently used code:
...ANSWER
Answered 2021-Oct-07 at 21:45GIF animations consist of multiple frames, that your image viewer cycles through to give the impression of a video or animation.
As such, you need to read each frame and apply your processing to it, then pass a list of frames to save at the end.
QUESTION
I want to remove the text at the edges and draw a bounding box around the center text, I have written the following code but it does not work
Input image
Output should be like this with bounding box
...ANSWER
Answered 2021-Sep-23 at 09:39Assume we know how to remove the text at the bottom edge, we can rotate the image by 90 degrees, and remove the text at the top edge - rotate and remove 4 times.
Removing the text at the bottom edge:
Dilating:
There is no need to apply GaussianBlur, and no need for opening.
We may simply dilate with horizontal line shaped kernel:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GaussianBlur
You can use GaussianBlur like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the GaussianBlur component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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