py_midicsv | Python port and library-fication of the midicsv tool | Audio Utils library

 by   timwedde Python Version: 4.1.1 License: MIT

kandi X-RAY | py_midicsv Summary

kandi X-RAY | py_midicsv Summary

py_midicsv is a Python library typically used in Audio, Audio Utils applications. py_midicsv has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However py_midicsv build file is not available. You can install using 'pip install py_midicsv' or download it from GitHub, PyPI.

A Python library inspired by the midicsv tool created by John Walker. Its main purpose is to bidirectionally convert between the binary MIDI format and a human-readable interpretation of the contained data in text format, expressed as CSV. If you found this library, you probably already know why you need it.
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            kandi-support Support

              py_midicsv has a low active ecosystem.
              It has 57 star(s) with 13 fork(s). There are 11 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 0 open issues and 12 have been closed. On average issues are closed in 6 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of py_midicsv is 4.1.1

            kandi-Quality Quality

              py_midicsv has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              py_midicsv 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

              py_midicsv releases are available to install and integrate.
              Deployable package is available in PyPI.
              py_midicsv has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 995 lines of code, 162 functions and 13 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed py_midicsv and discovered the below as its top functions. This is intended to give you an instant insight into py_midicsv implemented functionality, and help decide if they suit your requirements.
            • Convert midi data to csv
            • Parse a csv file
            • Read a MIDIF file
            • Make ticks relative to each track
            • Convert csv to midi format
            • Write a track to the file
            • Writes a MIDI file header
            • Write track to file
            • Create a key signature from a key signature event
            • Write event to file
            • Write track header to file
            • Convert pitch wheel event to a MIDI event
            • Write MIDI event to file
            • Create a copyright event
            • Convert bytes to a CSV string
            • Convert a channel after touchtouch event
            • Convert a SequenceNumberMetaEvent to a MIDI event
            • Create a program name event from a program name event
            • Create an event from a time signature
            • Convert a SysexF7 event
            • Create an event object from a SequenceSpecificEvent
            • Convert an instrument name event to a string
            • Convert a device name event
            • Create a cuePoint event from a given event
            Get all kandi verified functions for this library.

            py_midicsv Key Features

            No Key Features are available at this moment for py_midicsv.

            py_midicsv Examples and Code Snippets

            py_midicsv,Usage,As a Command Line Tool
            Pythondot img1Lines of Code : 43dot img1License : Permissive (MIT)
            copy iconCopy
            Usage: midicsvpy [OPTIONS] INPUT_FILE OUTPUT_FILE
            
              Convert MIDI files to CSV files.
            
              midicsv reads a standard MIDI file and decodes it into a CSV file which
              preserves all the information in the MIDI file. The ASCII CSV file may be
              loaded into  
            py_midicsv,Usage,As a Library
            Pythondot img2Lines of Code : 15dot img2License : Permissive (MIT)
            copy iconCopy
            import py_midicsv as pm
            
            # Load the MIDI file and parse it into CSV format
            csv_string = pm.midi_to_csv("example.mid")
            
            with open("example_converted.csv", "w") as f:
                f.writelines(csv_string)
            
            # Parse the CSV output of the previous command back int  
            py_midicsv,Installation
            Pythondot img3Lines of Code : 4dot img3License : Permissive (MIT)
            copy iconCopy
            $ pip install py_midicsv
            
            $ git clone https://github.com/timwedde/py_midicsv.git
            $ cd py_midicsv/
            $ poetry install
              

            Community Discussions

            Trending Discussions on py_midicsv

            QUESTION

            TensorFlow LSTM predicting same value
            Asked 2021-Mar-17 at 13:14

            What I want to do is input a list of numbers to my LSTM model, and have my LSTM model output its own list of numbers. My project is a program that takes an online MIDI file, converts it into a list of numbers, gets a new list of numbers from the LSTM, change those new numbers into MIDI, and then listen to the file. The place where I am running into an issue is where I get a new list of numbers from the LSTM model.

            Here is the main code that I currently have:

            ...

            ANSWER

            Answered 2021-Mar-17 at 13:14

            My conclusion is that although highly inefficient, to just put the model.fit and predict into a for loop to predict 1 step into the future or generate 1 piece of information at a time. This means that yes, you do have to fit the model a bunch of times, feeding it your previous data that it generated, but that is something that I could sacrifice. This method does work, just takes some time, and is the only main solution that I have found. Thanks to everyone who responded, making all of the steps really clear to me, hopefully this question helps someone else out there!

            Source https://stackoverflow.com/questions/66642948

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

            Vulnerabilities

            No vulnerabilities reported

            Install py_midicsv

            py_midicsv can be installed via pip:.

            Support

            A full explanation of the midicsv file format can be found here.
            Find more information at:

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            Install
          • PyPI

            pip install py_midicsv

          • CLONE
          • HTTPS

            https://github.com/timwedde/py_midicsv.git

          • CLI

            gh repo clone timwedde/py_midicsv

          • sshUrl

            git@github.com:timwedde/py_midicsv.git

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