wavelet-denoiser-github | A wavelet denoiser done in python
kandi X-RAY | wavelet-denoiser-github Summary
kandi X-RAY | wavelet-denoiser-github Summary
wavelet-denoiser-github is a Python library. wavelet-denoiser-github has no bugs, it has no vulnerabilities and it has low support. However wavelet-denoiser-github build file is not available. You can download it from GitLab.
tl;dr #+begin_src sh python3 src/denoiser-argument.py -i -o #+end_src. for an extensive list of what arguments you can pass #+begin_src sh :results pp :exports both :eval never-export python3 src/denoiser-argument.py --help #+end_src. #+results: #+begin_example usage: denoiser-argument.py [-h] -i input [-a a] [-b b] [-c c] [-d d] [-type {1,2,3}] [-akg akg] [-ako ako] [-aks {asc,desc}] [-l l] [-wavelet wavelet] [-method {wpa,dwt}] [-t time] [-v] -o output. optional arguments: -h, --help show this help message and exit -i input, --input input the relative or absolute path of the sound file you wish to denoise -a a denoiser param 'a' (default: 2) -b b denoiser param 'b' (default: 1) -c c denoiser param 'c' (default: 1) -d d denoiser param 'd' (default: 0.1) -type {1,2,3} filter type (default: 1) -akg akg grad of the ak filter (default: 4) -ako ako offset of the ak filter (default: 2) -aks {asc,desc} the slope of the ak filter - 'asc' or 'desc' (default: asc) -l l wavelet packed decomposition levels (default: 8) -wavelet wavelet the wavelet
tl;dr #+begin_src sh python3 src/denoiser-argument.py -i -o #+end_src. for an extensive list of what arguments you can pass #+begin_src sh :results pp :exports both :eval never-export python3 src/denoiser-argument.py --help #+end_src. #+results: #+begin_example usage: denoiser-argument.py [-h] -i input [-a a] [-b b] [-c c] [-d d] [-type {1,2,3}] [-akg akg] [-ako ako] [-aks {asc,desc}] [-l l] [-wavelet wavelet] [-method {wpa,dwt}] [-t time] [-v] -o output. optional arguments: -h, --help show this help message and exit -i input, --input input the relative or absolute path of the sound file you wish to denoise -a a denoiser param 'a' (default: 2) -b b denoiser param 'b' (default: 1) -c c denoiser param 'c' (default: 1) -d d denoiser param 'd' (default: 0.1) -type {1,2,3} filter type (default: 1) -akg akg grad of the ak filter (default: 4) -ako ako offset of the ak filter (default: 2) -aks {asc,desc} the slope of the ak filter - 'asc' or 'desc' (default: asc) -l l wavelet packed decomposition levels (default: 8) -wavelet wavelet the wavelet
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wavelet-denoiser-github has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
wavelet-denoiser-github has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of wavelet-denoiser-github is current.
Quality
wavelet-denoiser-github has no bugs reported.
Security
wavelet-denoiser-github has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
wavelet-denoiser-github does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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wavelet-denoiser-github releases are not available. You will need to build from source code and install.
wavelet-denoiser-github has no build file. You will be need to create the build yourself to build the component from source.
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wavelet-denoiser-github Key Features
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wavelet-denoiser-github Examples and Code Snippets
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Vulnerabilities
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Install wavelet-denoiser-github
You can download it from GitLab.
You can use wavelet-denoiser-github 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.
You can use wavelet-denoiser-github 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.
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For any new features, suggestions and bugs create an issue on GitLab.
If you have any questions check and ask questions on community page Stack Overflow .
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