ImageFilter | phonegap plugin for creating instagram style filters | Plugin library

 by   DrewDahlman JavaScript Version: Current License: No License

kandi X-RAY | ImageFilter Summary

kandi X-RAY | ImageFilter Summary

ImageFilter is a JavaScript library typically used in Plugin applications. ImageFilter has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

ImageFilter is a phonegap / Cordova plugin that allows you to create instagram style filters to images and save them out as High-res versions.
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              ImageFilter has a low active ecosystem.
              It has 62 star(s) with 29 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ImageFilter is current.

            kandi-Quality Quality

              ImageFilter has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ImageFilter does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

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

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            ImageFilter Key Features

            No Key Features are available at this moment for ImageFilter.

            ImageFilter Examples and Code Snippets

            No Code Snippets are available at this moment for ImageFilter.

            Community Discussions

            QUESTION

            What is the Sobel operator?
            Asked 2021-Jun-15 at 18:13

            I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.

            My questions is similar to this one, but there are still differences I don't understand with the other implementations.

            Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?

            Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]], but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]].

            Here is my code where I tried the different techniques:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:22

            according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]

            Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.

            For simplicity sake lets consider 1D example, and let array be

            [0, 0, 255, 255, 255]

            then if we calculate using padding then

            • kernel [2, 0, -2] gives [0, -510, -510, 0, 0]
            • kernel [-2, 0, 2] gives [0, 510, 510, 0, 0]

            As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.

            Source https://stackoverflow.com/questions/67987368

            QUESTION

            how to blur bottom half of the screen in flutter
            Asked 2021-Jun-02 at 12:34

            trying to blur the bottom half of the screen as no guideline or help available.

            Requirement:-

            i do not want to give specific width or height in backdrop filter child container.

            what is already tried:

            ...

            ANSWER

            Answered 2021-Jun-02 at 12:34

            i have tried but its not the best

            Source https://stackoverflow.com/questions/67804885

            QUESTION

            Why does ImageFilter.BoxBlur give wrong results?
            Asked 2021-May-18 at 11:36

            I'm trying to use the Pillow with some test data that I'm generating in black and white, pixel by pixel. I'd like to use this data to test out my one pixel box blur. I've got greyscale pixels stored in row-wise 3x3 matrix like this:

            ...

            ANSWER

            Answered 2021-May-18 at 11:34

            I understand your expected output, but let's check the reality first:

            Source https://stackoverflow.com/questions/67561241

            QUESTION

            BackdropFilter overlay outside Stack on PageView
            Asked 2021-Apr-03 at 16:14

            Seems like BackdropFilter on PageView overlay outside Page when scrolling. I expected that it applies only on parent widget. How to prevent this behaviour?

            Code sample:

            ...

            ANSWER

            Answered 2021-Apr-03 at 16:14

            As documentation says:

            The filter will be applied to all the area within its parent or ancestor widget's clip. If there's no clip, the filter will be applied to the full screen.

            So I had to wrap BackdropFilter with ClipRect

            Source https://stackoverflow.com/questions/66931730

            QUESTION

            Theme.of(context) not passed to simpleDialog
            Asked 2021-Mar-30 at 13:40

            I'm using a showDialog function in my app. The themeData is not passed from my parent widget to my showDialog. Can anyone tell me why it's not working? I have to specify the theme is working everywhere else but not in my showDialog. I'm using provider to change the theme accordingly to dark and light. Anyways, in the code just below the showDialog it works.

            ...

            ANSWER

            Answered 2021-Mar-30 at 13:25

            Using a Theme like this declare theme in MaterialApp

            Source https://stackoverflow.com/questions/66871743

            QUESTION

            How to extract area of an image within a colored border?
            Asked 2021-Mar-29 at 08:31

            I am trying to extract the subsection area of an image based on the border of a colored box on the image (see below).

            I want to extract the area of the image within the yellow box..

            For reference, I am extracting this image from a PDF using pdfplumber's im.draw_rect function, which requires ImageMagick and Ghostscript. I have looked everywhere I can for a solution to this problem, and while Mark Setchell's answer to the question Python: How to cut out an area with specific color from image (OpenCV, Numpy) has come close, I'm getting some unexpected errors.

            Here is what I have tried so far:

            ...

            ANSWER

            Answered 2021-Mar-29 at 08:31

            As Mark already pointed out in the comments, the yellow rectangle doesn't have the RGB value of [247, 213, 83]. ImageJ, for example, returns plain yellow [255, 255, 0]. So, using this value might already help.

            Nevertheless, to overcome those uncertainties regarding definitive RGB values, maybe also varying across platforms, software, and so on, I'd suggest to use color thresholding using the HSV color space, which also works using Pillow, cf. modes.

            You only need to pay attention to the proper value ranges: The hue channel, for example, has values in the range of [0 ... 360] (degree), which are mapped to a full 8-bit, unsigned integer, i.e. to the range of [0 ... 255]. Likewise, saturation and value are mapped from [0 ... 100] (percent) to [0 ... 255].

            The remainder is to find proper ranges for hue, saturation, and value (e.g. using some HSV color picker), and NumPy's boolean array indexing to mask yellow-ish areas in the given image.

            For the final cropping, you could add some additional border to get rid of the yellow border itself.

            Finally, here's some code:

            Source https://stackoverflow.com/questions/66846065

            QUESTION

            Pickling Python Function fails with ProcessPoolExecutor in a decorator
            Asked 2021-Mar-22 at 13:51

            So I asked this question and tried the ProcessPoolExecutor approach. I used the decorator suggested the following way:

            Running Image Manipulation in run_in_executor. Adapting to multiprocessing

            ...

            ANSWER

            Answered 2021-Mar-22 at 13:51

            Decorators typically produce wrapped functions that aren't easy to pickle (serialize) because they contain hidden state. When dealing with multiprocessing, you should avoid decorators and send ordinary global functions to run_in_executor. For example, you could re-write your executor decorator into a utility function:

            Source https://stackoverflow.com/questions/66733924

            QUESTION

            Cannot Read Number using Pytesseract
            Asked 2021-Mar-20 at 06:02

            So I'm trying to get the number from an image.

            I tried this:

            ...

            ANSWER

            Answered 2021-Mar-19 at 21:19

            You need to know the followings for solving the current problem:

            Image is to small for accurate prediction. Therefore I suggest to up-scale and get the binary mask

              1. Convert image to HSV color-space
              1. Get the binary mask
              1. Up-scale the binary mask
              1. Inverse the binary mask

            Result:

            OCR result will be (python tesseract 0.3.7):

            Source https://stackoverflow.com/questions/66712385

            QUESTION

            Tensorflow: How to use a generator for fit() which runs in parallel with multiple processes
            Asked 2021-Mar-12 at 09:53

            I am trying to train a model on a data set which does not fit in my RAM. Therefore I am using a data generator which inherits from tensorflow.keras.utils.Sequence as shown below. This is working. However because I am doing processing on the images my training is CPU bound. When looking in GPU-Z my GPU is only at 10-20% but one of my CPU Cores is at its max.
            To solve this I am trying to run the generator in parallel on all my 16 cores. However when I set use_multiprocessing=True in the fit() function the program freezes. And using workers=8 does not speed up the process just produces batches in uneven intervals.
            ex.: batch 1-8 is processed immediately than there is some delay and than batch 9-16 is processed.

            The code below shows what I am trying to do.

            ...

            ANSWER

            Answered 2021-Mar-12 at 09:53

            In the end I needed to make the Data generator use multi processing. To do this, the arrays needed to be stored in shared memory and than used in the sub processes.

            Source https://stackoverflow.com/questions/66455097

            QUESTION

            how to read file from incoming request without saving it to local disk using node.js express?
            Asked 2021-Mar-10 at 05:27

            I have my back-end server in express(node.js) and all apis is running on this server. I also have file-upload mechanism for file-upload api using multer. For file uploading i have created a middleware and in my helper controller i have this

            ...

            ANSWER

            Answered 2021-Mar-08 at 13:35

            Multer provide memory options by which without storing file in local system, we can convert it into buffer and read the content.

            Refer this or this

            Source https://stackoverflow.com/questions/66530524

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

            Vulnerabilities

            No vulnerabilities reported

            Install ImageFilter

            You can download it from GitHub.

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