binarizer | fast implementation of local adaptive binarization methods

 by   chungkwong Java Version: Current License: No License

kandi X-RAY | binarizer Summary

kandi X-RAY | binarizer Summary

binarizer is a Java library typically used in Utilities, Pytorch applications. binarizer has no vulnerabilities, it has build file available and it has low support. However binarizer has 12 bugs. You can download it from GitHub.

Memory-efficient and fast implementation of local adaptive binarization methods(Niblack, Sauvola, ...)
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            kandi-support Support

              binarizer has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              binarizer has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of binarizer is current.

            kandi-Quality Quality

              OutlinedDot
              binarizer has 12 bugs (3 blocker, 9 critical, 0 major, 0 minor) and 159 code smells.

            kandi-Security Security

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

            kandi-License License

              binarizer 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

              binarizer releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 1579 lines of code, 128 functions and 22 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed binarizer and discovered the below as its top functions. This is intended to give you an instant insight into binarizer implemented functionality, and help decide if they suit your requirements.
            • Adds the pixel to the cache
            • Add a pixel to the min queue
            • Add a pixel to the pool
            • Add min and max
            • Add a pixel to the min queue
            • Add a pixel to the pool
            • Remove min and max
            • Removes the minimum
            • Remove the max
            • Remove a pixel
            • Removes the minimum
            • Remove the max
            • Binarize from an array to binary
            • Binarize and binarization
            • Binarize tall
            • Creates the menu bar
            • Adds a tab to the tab
            • Create binarize tab
            • Checks if a pixel is foreground
            • Gets the max
            • Gets the min
            • Returns a string representation of this window
            • BinaryDecarization
            • Binarization
            • Gets a smoothed threshold
            • Gets the Niblack formula
            • Binary version of bin
            • Binary binaryization
            • Binaryize the binary representation
            Get all kandi verified functions for this library.

            binarizer Key Features

            No Key Features are available at this moment for binarizer.

            binarizer Examples and Code Snippets

            No Code Snippets are available at this moment for binarizer.

            Community Discussions

            QUESTION

            How to make a Confusion Matrix with Keras?
            Asked 2022-Jan-20 at 11:10

            I have trained my model (multiclass classification) of CNN using keras and now I want to evaluate the model on my test set of images. Is there a way to create confusion matrix for all my classes?

            Python version 3.8.0. Windows operating system.

            Import scikitplot as skplt

            ...

            ANSWER

            Answered 2022-Jan-19 at 19:18

            You can use sklearn for that.

            Source https://stackoverflow.com/questions/70775762

            QUESTION

            Why the imagedata returned by upng-js is malformed?
            Asked 2021-Oct-26 at 02:28

            I'm using the upng-js module to read png files. In common sense the return value should be in RGBA form, so should be an Unit8Array with size 4*width*height. However when I'm reading an image with size 111*111 it returns an Unit8Array with size 49395. Here's my code:

            ...

            ANSWER

            Answered 2021-Oct-26 at 02:28

            At first, let's convert your image to RGBA8 format, then create a Uint8ClampedArray - Input of jsQR.

            Source https://stackoverflow.com/questions/69716293

            QUESTION

            Duplicate class com.google.zxing.Binarizer found in modules jetified-com.google.zxing.client.android.captureactivity.jar and jetified-core-3.3.3.jar
            Asked 2021-Aug-19 at 14:50

            So I tried running ionic cordova run android but I get a build failed with an exception.

            Duplicate class com.google.zxing.Binarizer found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.BinaryBitmap found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.ChecksumException found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.DecodeHintType found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.EncodeHintType found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.FormatException found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.LuminanceSource found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.MultiFormatReader found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.MultiFormatWriter found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.MultiFormatWriter$1 found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.NotFoundException found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.PlanarYUVLuminanceSource found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.RGBLuminanceSource found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3) Duplicate class com.google.zxing.Reader found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3)

            And the list goes on and finishes with :

            Duplicate class com.google.zxing.qrcode.encoder.QRCode found in modules jetified-com.google.zxing.client.android.captureactivity.jar (com.google.zxing.client.android.captureactivity.jar) and jetified-core-3.3.3.jar (com.google.zxing:core:3.3.3)

            Go to the documentation to learn how to Fix dependency resolution errors.

            • Try: Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.

            • Get more help at https://help.gradle.org

            Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0. Use '--warning-mode all' to show the individual deprecation warnings. See https://docs.gradle.org/6.5/userguide/command_line_interface.html#sec:command_line_warnings

            Here is my build.gradle file :

            ...

            ANSWER

            Answered 2021-Aug-12 at 09:42

            The problem was caused because of a conflict between facebook4 plugin and barcodeScanner plugin. Both use a library called ZXing which will cause a conflict.

            The easy fix (hard to find) was to remove the facebook plugin and add the same one without the zxing library.

            Source https://stackoverflow.com/questions/68723747

            QUESTION

            AttributeError: 'str' object has no attribute 'sc' Pyspark PMML
            Asked 2021-Jun-24 at 15:34

            first time posting here! I am trying to save my Logistic Regression model via pyspark2pmml. However I keep getting the error stated in the title. I will post my pipeline and model code.

            ...

            ANSWER

            Answered 2021-Jun-24 at 15:34

            You're overwriting self argument of the object with the string "lr_model.pmml". That's why you're receiving the error AttributeError: 'str' object has no attribute 'sc' Pyspark PMML. You have to call buildFile passing a path as argument, see.

            Source https://stackoverflow.com/questions/68118413

            QUESTION

            Optimization solver Used for One vs rest in Sickit learn
            Asked 2021-Mar-04 at 00:26

            I am trying to solve a multiclass classification problem using Logistic regression. My dataset has 3 distinct classes, and each data point belongs to only one class. Here is the sample training_data;

            Here the first column is vector of ones I have added as bias term. And the target column has been binarized using the concept of label binarize, as mentioned in sickit-learn

            Then I got the target as follows;

            ...

            ANSWER

            Answered 2021-Mar-04 at 00:26
            1. It does not matter; as you might see here, either choosing multi_class='auto' or multi_class='ovr' will lead to same results whenever solver='liblinear'.
            2. In case solver='liblinear' a default bias term equal to 1 is used and appended to X via intercept_scaling attribute (which is in turn useful only if fit_intercept=True), as you can see here. You'll have the fitted bias (dimension (n_classes,)) returned by intercept_ after fitting (zero-valued if fit_intercept=False). Fitted coefficients are returned by coef_ (dimension (n_classes, n_features) and not (n_classes, n_features + 1) - splitting done here).

            Here an example, considering Iris dataset (having 3 classes and 4 features):

            Source https://stackoverflow.com/questions/66465103

            QUESTION

            Traffic sign recognition iOS CoreML - label not showing class
            Asked 2020-Nov-17 at 23:04

            I am following this tutorial to build a simple deep learning app for traffic sign recognition. link

            I made an own model, and I also tried it with the model in this repository: link

            When I run the app from xcode on my iPhone, I can see the picture of the camera, but the text always says "Label", no matter what is on the screen. The only thing I modified from the tutorial is that I hardcoded the classes before converting to mlmodel:

            ...

            ANSWER

            Answered 2020-Nov-17 at 10:16

            I don't know if this fixes it, but in your conversion script try the following:

            Source https://stackoverflow.com/questions/64861418

            QUESTION

            Replacing MLP code with CNN in python using tensorflow and keras
            Asked 2020-Nov-10 at 06:12

            I tried the code below with MLP now I need to replace this MLP code with CNN 8 layers with the following structure: 3×3×32 Convolutional → 3×3×64 Convolutional → 2×2 MaxPool → Dropout → Flatten → 1 × 128 Full connected → Dropout → 128 × 10 Fully connected → Softmax.

            ...

            ANSWER

            Answered 2020-Nov-10 at 06:12

            Try this with your given architecture:

            Source https://stackoverflow.com/questions/64709510

            QUESTION

            Pytorch: The size of tensor a (24) must match the size of tensor b (48) at non-singleton dimension 3
            Asked 2020-Aug-20 at 13:44

            Below code works fine and generate proper results.

            ...

            ANSWER

            Answered 2020-Aug-20 at 13:44

            You are doing it a wrong way, some explanation is,

            Source https://stackoverflow.com/questions/63432886

            QUESTION

            ValueError: Shapes (None, 5) and (None, 1000) are incompatible
            Asked 2020-Aug-18 at 11:30

            Trying to train a Resnet50 model from it's pre trained form but once it hits the code of training it, it throws this error ValueError: Shapes (None, 5) and (None, 1000) are incompatible I can't figure out what am I doing wrong here?

            I have 5 classes dataset so that's why I am using categorical_crossentropy as the loss.

            Full code is here:

            ...

            ANSWER

            Answered 2020-Aug-18 at 11:30

            Try adding a layer with the proper number of categories for your task:

            Source https://stackoverflow.com/questions/63467170

            QUESTION

            How to fix "TypeError: 'int' object is not subscriptable in the rfind(os.sep.path) + 1:"
            Asked 2020-Aug-07 at 10:00

            I am trying to classify my input image using pre-trained labels and matching that with the label inserted into the input image file name like : "my_name.png" ; which is also there in the label.pickle "my_name"

            ...

            ANSWER

            Answered 2020-Aug-07 at 09:05

            if you are trying to get the file name without the extension then try this

            Source https://stackoverflow.com/questions/63298392

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

            Vulnerabilities

            No vulnerabilities reported

            Install binarizer

            You can download it from GitHub.
            You can use binarizer 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 binarizer 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 .

            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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            https://github.com/chungkwong/binarizer.git

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            gh repo clone chungkwong/binarizer

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            git@github.com:chungkwong/binarizer.git

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