surreal | Deep Learning based Image Super Resolution using DCGANs | Machine Learning library

 by   anjishnu Python Version: Current License: No License

kandi X-RAY | surreal Summary

kandi X-RAY | surreal Summary

surreal is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. surreal has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Surreal is a Deep Learning based super resolution algorithm. The goal for this project is to provide a generic super resolution algorithm for upscaling images. The first implementation is going to use a conditional DCGAN (Deep Convolutional Generative Adversarial Network) so that the generative model operates on perceptual loss - not some kind of hacky euclidean distance metric. I am reading the papers below but simplifying the model fairly drastically.
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              surreal has a low active ecosystem.
              It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1684 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of surreal is current.

            kandi-Quality Quality

              surreal has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              surreal 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

              surreal 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed surreal and discovered the below as its top functions. This is intended to give you an instant insight into surreal implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Generate data from the input image
            • Resize an image
            • Convert a 2 - dimensional vector to image
            • Generate the absolute paths of all images in a directory
            • Generate random image
            • Get the discriminator layer
            • Creates the generator
            • Combine multiple images into a single image
            • Generate uniform noise
            • Test the model
            • Load a model
            • Decode a model using the given model
            • Convert an image to a NumPy array
            • Build argument parser
            • Parse arguments
            Get all kandi verified functions for this library.

            surreal Key Features

            No Key Features are available at this moment for surreal.

            surreal Examples and Code Snippets

            No Code Snippets are available at this moment for surreal.

            Community Discussions

            QUESTION

            Toggling between two sets of boolean and string representations
            Asked 2021-Feb-11 at 02:45

            I have 2 boolean variables:

            ...

            ANSWER

            Answered 2021-Feb-11 at 02:23

            Couldn't you do something like:

            Source https://stackoverflow.com/questions/66147917

            QUESTION

            Filtering knockout observable array based on string
            Asked 2020-Dec-12 at 01:27

            I'm currently trying to solve a little problem.

            I have the following code. I try to filter and re-render the fetched movielist based on the chosen genre.

            So far i am able to cast the selected option to an object in my js-script but i don't know where to go from here. The genre values in my observable array is an array of its own since one movie can have multiple genres.

            Here's my script so far:

            ...

            ANSWER

            Answered 2020-Dec-12 at 01:27

            You could add a computed observable filteredMoviesList which would go through each of the filters you describe and filter for the selected genre. Then in your html you would just bind your foreach binding to that instead of moviesList. Here is a simple example:

            JS

            Source https://stackoverflow.com/questions/65254320

            QUESTION

            Multiple values for a word in Python dictionary
            Asked 2020-Oct-12 at 16:30

            I have a text file consist of words, emotion-category, and corresponded score to each emotion.

            ...

            ANSWER

            Answered 2020-Oct-12 at 16:30

            This should do what you need, I think

            Source https://stackoverflow.com/questions/64321459

            QUESTION

            Can't assign an image to a Nullable ImageView
            Asked 2020-Aug-18 at 12:48

            How can I set an image to ImageView?

            The idea of my app is to show the different type of RecyclerView's view holder according to the data class in a RecyclerView. Data classes look like this:

            ...

            ANSWER

            Answered 2020-Aug-18 at 12:13

            The error says that your game_pic variable is null.

            One workaround I can suggest without seeing your code:

            Source https://stackoverflow.com/questions/63467468

            QUESTION

            Scala type constraint to check argument values
            Asked 2020-Jun-26 at 13:15

            I'm trying to implement Conway's surreal numbers in Scala. A surreal number is defined recursively – as a pair of sets of surreal numbers, called left and right, such that no element in the right set is less than or equal to any element in the left set. Here the relation "less than or equal to" between surreal numbers is also defined recursively: we say that xy if

            • there is no element a in the left set of x such that ya, and
            • there is no element b in the right set of y such that bx.

            We start with defining zero as a pair of empty sets, then use zero to define 1 and -1, and so on.

            I cannot figure out how to enforce the definition of a surreal number at compile time. This is what I have now:

            ...

            ANSWER

            Answered 2020-Jun-26 at 13:15

            You could define a macro in order to execute calculations at compile time

            Source https://stackoverflow.com/questions/62590645

            QUESTION

            How to copy a specific text from html attribute to a PHP String?
            Asked 2020-Jun-03 at 04:26
            
            
            ...

            ANSWER

            Answered 2020-Jun-03 at 00:43

            You can use explode to get the value of the hash if it is the last key/value pair in the string using the following method...

            Online PHP Editer:

            https://3v4l.org/kUrJs

            Source https://stackoverflow.com/questions/62161810

            QUESTION

            Heatmap using lists of different size
            Asked 2020-May-31 at 01:42

            I would like to compare two list of different size using JaroWinkler similarity. List_1 has 5 elements and it comes from a column dataframe, e.g.

            ...

            ANSWER

            Answered 2020-May-31 at 01:42

            QUESTION

            R tidyeval passing a list containing multiple character vectors to dplyr functions
            Asked 2020-May-25 at 22:19

            In this problem I want to map a function over multiple data inputs to create output showing frequencies of item responses.

            First I create two data sets using the psych package:

            ...

            ANSWER

            Answered 2020-May-25 at 22:19

            Here, we could use mget to get the values of the objects

            Source https://stackoverflow.com/questions/62011078

            QUESTION

            Xcode 10, where are the UI elements?
            Asked 2020-Apr-21 at 08:07

            Have been out of Swift coding for almost a year, I'm back.

            Download Xcode 10 beta. Have I lost my mind? I've tried every trick I know, none of the UI elements show up in storyboard. Zero. The sidebar is empty.

            Xcode 10:

            Xcode 9, no problem there they are, all my UI buttons, etc.

            thanks, this is kind of surreal. :-)

            ...

            ANSWER

            Answered 2018-Oct-22 at 13:27

            Library content has moved from the bottom of the Inspector area to an overlay window, which can be moved and resized like Spotlight search. It dismisses once items are dragged, but holding the Option key before dragging will keep the library open for an additional drag.

            The library can be opened via:

            • a new toolbar button (image attached);

            • the View > Libraries menu;

            • or the ⇧⌘L keyboard shortcut.

            Source https://stackoverflow.com/questions/51051532

            QUESTION

            Mallet DMR negative propability for feature-based topic-distribution?
            Asked 2020-Mar-14 at 18:55

            I've created a DMR Topic model (via Java API) which calculates the topic distribution based on the publication-year of the documents.

            The resulting distribution is a bit confusing, because there are a lot of negative propabilities. Sometimes all propabilities for a whole topic are negative values. See:

            Q1: Why are there negative values? The lowest possible possibility for a topic distribution for a given feature should be at least 0,0 ... I guess?

            Additional I build a LDA model where the ModelLogLikelihood seems to be surreal. I trained the model with nearly 4 million documents and 20 topics. Alpha =1.0 ; Beta = 0.01 ; # iterations 1000;

            Results in Model-Log likelihood: -8.895651309362761E8

            Q2: Can this value be correct? Or am I doing something wrong?

            ...

            ANSWER

            Answered 2020-Mar-14 at 18:55

            Thanks for using DMR! LDA assumes that the prior for the topic distribution for each document is a Dirichlet distribution. The parameters for a K-dimensional Dirichlet are K non-negative real numbers. DMR-LDA generates a document-specific prior based on the properties of a document.

            Q1: These are not probabilities, they are regression coefficients. If you have a document with feature 2014, the value for the Dirichlet parameter for topic 1 with the expression exp(-4.5 + -0.25). This is the default parameter plus the offset for 2014, exponentiated to make it non-negative. These values are equivalent to about 0.01 for the default value with no additional features, and 0.008 (78%) for 2014.

            Q2: This is a common confusion! The key is that this is a log probability. The log function crosses 0 at 1, since anything to the 0 is 1. The log of any value less than 1 is negative. Since all probabilities are less than or equal to one, all log probabilities are zero or negative. The other thing that often surprises people is how large the log probabilities are. Let's say you have a language model where each word token is independent, and the probability of a given word is usually around 1/1000. The log probability of one word is therefore around -7.0. The joint probability of a whole collection is the product of the token probabilities, so the log of that joint probability is the sum of -7. I'm guessing your collection has about 100M tokens?

            Source https://stackoverflow.com/questions/60669679

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

            Vulnerabilities

            No vulnerabilities reported

            Install surreal

            You can download it from GitHub.
            You can use surreal like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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