spectrographic | Turn an image | Speech library

 by   LeviBorodenko Python Version: 0.9.3 License: MIT

kandi X-RAY | spectrographic Summary

kandi X-RAY | spectrographic Summary

spectrographic is a Python library typically used in Artificial Intelligence, Speech applications. spectrographic has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install spectrographic' or download it from GitHub, PyPI.

Most sounds are intricate combinations of many acoustic waves each having different frequencies and intensities. A spectrogram is a way to represent sound by plotting time on the horizontal axis and the frequency spectrum on the vertical axis. Sort of like sheet music on steroids. What this tool does is, taking an image and simply interpreting it as a spectrogram. Therefore, by generating the corresponding sound, we have embedded our image in a spectrogram. The game DOOM used a similar technique to hide satanic figures inside its soundtrack. Now everyone can do the same! . Get the command-line tool spectrographic via pip by running pip install spectrographic. You can also simply use spectrographic.py from stand-alone\ as a command-line tool directly. Furthermore, make sure you meet all the dependencies inside the requirements.txt. Install them with pip install requirements.txt. After installation with pip one simply needs to run spectrographic [...] in the console and with the stand-alone script you have to use python spectrographic.py [...] inside the folder containing spectrographic.py. You could also simply import the SpectroGraphic class from spectrographic.base. Check the doc-strings for detailed explanations and more features.
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            kandi-support Support

              spectrographic has a low active ecosystem.
              It has 222 star(s) with 24 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 1 have been closed. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spectrographic is 0.9.3

            kandi-Quality Quality

              spectrographic has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              spectrographic is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spectrographic releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              spectrographic saves you 218 person hours of effort in developing the same functionality from scratch.
              It has 533 lines of code, 28 functions and 7 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spectrographic and discovered the below as its top functions. This is intended to give you an instant insight into spectrographic implemented functionality, and help decide if they suit your requirements.
            • Return the sound array
            • Preprocess the image
            • Compute the soundwall
            • Resizes the image
            • Main entry point
            • Parse command line arguments
            • Play the sound
            • Saves the stimulus
            • Generate a sound wall
            • Convert pixel to sound
            • Generate a sine wave
            Get all kandi verified functions for this library.

            spectrographic Key Features

            No Key Features are available at this moment for spectrographic.

            spectrographic Examples and Code Snippets

            No Code Snippets are available at this moment for spectrographic.

            Community Discussions

            QUESTION

            How to automatically re-calculate the y axis scale after limiting the x axis in R ggplot2
            Asked 2017-Feb-23 at 13:17

            I am using ggplot2 to plot some spectrographic data from a large list of data frames. I want to restrict the graph to just wavelengths between 400 and 900 nm. I know how to set the x-axis limits using scale_x_continuous() or xlim(). The problem is that after I have done this, the y-axis does not automatically readjust to the min/max values displayed. I don't want to set it manually, as each data frame processed by my loop will have a different range.

            Where summary is my list of data frames, then this code gives me a list of plots, without the axes adjusted:

            ...

            ANSWER

            Answered 2017-Feb-23 at 13:17

            Here is a possible solution. However, since I don't have access to your data, I wasn't able to test whether it actually works.

            You could define the max average value for the range of wavelengths prior to building your plot and then call that value in a ylim function.

            The two lines I added are:

            Source https://stackoverflow.com/questions/42416002

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

            Vulnerabilities

            No vulnerabilities reported

            Install spectrographic

            You can install using 'pip install spectrographic' or download it from GitHub, PyPI.
            You can use spectrographic 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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            Install
          • PyPI

            pip install spectrographic

          • CLONE
          • HTTPS

            https://github.com/LeviBorodenko/spectrographic.git

          • CLI

            gh repo clone LeviBorodenko/spectrographic

          • sshUrl

            git@github.com:LeviBorodenko/spectrographic.git

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