handwritten | Multiple fonts merged to together to diversify handwritten | User Interface library

 by   reggi JavaScript Version: Current License: No License

kandi X-RAY | handwritten Summary

kandi X-RAY | handwritten Summary

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

I've fixed this problem by creating multiple of the same font (my own handwriting), and creating a javascript library that changes the font of every character in a body of text.
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              handwritten has a low active ecosystem.
              It has 25 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              handwritten has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of handwritten is current.

            kandi-Quality Quality

              handwritten has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              handwritten 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

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

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            handwritten Key Features

            No Key Features are available at this moment for handwritten.

            handwritten Examples and Code Snippets

            No Code Snippets are available at this moment for handwritten.

            Community Discussions

            QUESTION

            VBA Macro is ignoring nextBlankRow and duplicates
            Asked 2021-Jun-15 at 13:16

            What I want the Macro to accomplish:

            I want the user to be able to fill in data from E2 to E9 on the spreadsheet. When the user presses the "Add Car" button the macro is supposed to be executed. The makro then should take the handwritten data, copy everything from E2:E9 and put it into a table that starts at with C13 and spans over 7 columns, always putting the new set of data in the next free row. It is also supposed to check for duplicates and give an alert while not overwriting the original set of data

            So my problem is, that I want the Macro I'm writing to take the information put into certain cells and then copy them into a table underneath.

            I'm starting the Macro like this

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:16

            Please, test the next code:

            Source https://stackoverflow.com/questions/67981945

            QUESTION

            How to input user images to predict with Tensorflow?
            Asked 2021-Jun-03 at 03:15

            For my project, I am using tensorflow to predict handwritten user input.

            Basically I used this dataset: https://www.kaggle.com/rishianand/devanagari-character-set, and created a model. I used matplotlib to see the images that were being produced by the pixels.

            My code essentially works with training data, but i want to up it up a little. Through CV2, I created a GUI that allows users to draw a Nepali Letter. After this, I have branching that tells the program to save the image inside the computer.

            This is a snippet of my code for it:

            ...

            ANSWER

            Answered 2021-Jun-03 at 03:15

            Understand the dataset:

            1. the size of the image is 32 x 32
            2. there are 46 different characters/alphabets

            Source https://stackoverflow.com/questions/67795896

            QUESTION

            How to train new digits handwriting into exist keras model?
            Asked 2021-May-24 at 11:06

            I'm having an existing model that trained to recognize handwritten digits. Then I have a new sample digit to train more into that model. Is there any way to do this?

            ...

            ANSWER

            Answered 2021-May-24 at 11:06

            You could load image, convert to grayscale, resize to (28,28)
            and convert to train array with one example, and use it with fit()

            Source https://stackoverflow.com/questions/67531649

            QUESTION

            std::min vs ternary gcc auto vectorization with #pragma GCC optimize ("O3")
            Asked 2021-May-21 at 19:22

            I know that "why is my compiler doing this" aren't the best type of questions, but this one is really bizarre to me and I'm thoroughly confused.

            I had thought that std::min() was the same as the handwritten ternary (with maybe some compile time template stuff), and it seems to compile down into the same operation when used normally. However, when trying to make a "min and sum" loop autovectorize they don't seem to be the same, and I would love if someone could help me figure out why. Here is a small example code that produces the issue:

            ...

            ANSWER

            Answered 2021-May-21 at 17:56

            Summary: don't use #pragma GCC optimize. Use -O3 on the command line instead, and you'll get the behavior you expect.

            GCC's documentation on #pragma GCC optimize says:

            Each function that is defined after this point is treated as if it had been declared with one optimize(string) attribute for each string argument.

            And the optimize attribute is documented as:

            The optimize attribute is used to specify that a function is to be compiled with different optimization options than specified on the command line. [...] The optimize attribute should be used for debugging purposes only. It is not suitable in production code. [Emphasis added, thanks Peter Cordes for spotting the last part.]

            So, don't use it.

            In particular, it looks like specifying #pragma GCC optimize ("O3") at the top of your file is not actually equivalent to using -O3 on the command line. It turns out that the former doesn't result in std::min being inlined, and so the compiler actually does assume that it might modify global memory, such as your a,b arrays. This naturally inhibits vectorization.

            A careful reading of the documentation for __attribute__((optimize)) makes it look like each of the functions main() and std::min() will be compiled as if with -O3. But that's not the same as compiling the two of them together with -O3, as only in the latter case would interprocedural optimizations like inlining be available.

            Here is a very simple example on godbolt. With #pragma GCC optimize ("O3") the functions foo() and please_inline_me() are each optimized, but please_inline_me() does not get inlined. But with -O3 on the command line, it does.

            A guess would be that the optimize attribute, and by extension #pragma GCC optimize, causes the compiler to treat the function as if its definition were in a separate source file which was being compiled with the specified option. And indeed, if std::min() and main() were defined in separate source files, you could compile each one with -O3 but you wouldn't get inlining.

            Arguably the GCC manual should document this more explicitly, though I guess if it's only meant for debugging, it might be fair to assume it's intended for experts who would be familiar with the distinction.

            If you really do compile your example with -O3 on the command line, you get identical (vectorized) assembly for both versions, or at least I did. (After fixing the backwards comparison: your ternary code is computing max instead of min.)

            Source https://stackoverflow.com/questions/67640462

            QUESTION

            how to train amd test dataset of images downloaded from kaggle
            Asked 2021-Apr-27 at 20:39

            I want to load dataset from Kaggle. The link for the dataset is https://www.kaggle.com/sagyamthapa/handwritten-math-symbols.

            It has images in different folder. How do I label the dataset and split and train it.

            I did it the following way, but i got error

            ...

            ANSWER

            Answered 2021-Apr-27 at 20:39

            QUESTION

            Stop training model when accuracy reached greater than 0.99
            Asked 2021-Apr-22 at 21:23

            I want to stop my model from getting trained after it reaches a certain threshold. I have written a class for a callback from Tensorflow. I'm training the MNIST dataset. To categorize the handwritten numbers and identify. But for some reason, the training is not getting stopped. I can't find a reason. Here is my code.

            ...

            ANSWER

            Answered 2021-Apr-22 at 16:25

            QUESTION

            Python - Extract dictionary value based on matching list and nested set
            Asked 2021-Apr-15 at 13:51

            I am struggling with getting the output that I want. I have a list and a dictionary as illustrated below:

            ...

            ANSWER

            Answered 2021-Apr-15 at 13:51

            According to the way h3_rules is defined, then first you need to validate if the first index is an instance of a set, grab the first value of the set, and then just append the corresponding division.

            Source https://stackoverflow.com/questions/67108722

            QUESTION

            Kivy application unexpectedly halting when using Threads
            Asked 2021-Apr-11 at 11:06

            I am not sure whether this is an iOS issue or whether this is an issue with Kivy or even with Python (e.g. https://bugs.python.org/issue37788), but I am experiencing some problems with threading.

            I have built an iPad app using the Kivy framework that makes several calls to an API, and uses the threading module to asynchronously make requests. Below is the code that handles the API requests:

            ...

            ANSWER

            Answered 2021-Apr-11 at 11:06

            I fixed this issue in Xcode by amending the runtime API checking.

            Navigate to:

            Product > Scheme > Edit Scheme > Run / Debug > Diagnostics

            then deselect Main Thread Checker

            Source https://stackoverflow.com/questions/67026159

            QUESTION

            checking number of json arrays and generating series based on that number
            Asked 2021-Apr-04 at 11:47

            I'm receiving JSON data with the following function:

            ...

            ANSWER

            Answered 2021-Apr-04 at 11:47

            To reduce the points to every fourth, you can use filter:

            Source https://stackoverflow.com/questions/66940517

            QUESTION

            Converting image into MNIST format
            Asked 2021-Mar-20 at 06:53

            I have trained a KNN model to predict handwritten images in the MNIST dataset. I want to test it on my own handwriting now. I want to convert it into the MNIST format (values for 784 pixels in the image as an array). I tried converting the image into a 28*28 pixels and storing the pixel intensities in the code below:

            ...

            ANSWER

            Answered 2021-Mar-19 at 16:10

            I would suggest visualizing your processed image to check if it is centred and have the right contrast. See: Visualize MNIST dataset using OpenCV or Matplotlib/Pyplot

            Source https://stackoverflow.com/questions/66711654

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

            Vulnerabilities

            No vulnerabilities reported

            Install handwritten

            You can download it from GitHub.

            Support

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            https://github.com/reggi/handwritten.git

          • CLI

            gh repo clone reggi/handwritten

          • sshUrl

            git@github.com:reggi/handwritten.git

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