partitura | A python package for handling modern staff notation of music

by CPJKU Python Version: 1.4.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | partitura Summary

partitura is a Python library. partitura 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 partitura' or download it from GitHub, PyPI.

A python package for handling modern staff notation of music

Support

Quality

Security

License

Reuse

Support

partitura has a low active ecosystem.

It has 162 star(s) with 14 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 124 have been closed. On average issues are closed in 104 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of partitura is 1.4.1

Quality

partitura has 0 bugs and 0 code smells.

Security

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

partitura code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

partitura is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

partitura releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed partitura and discovered the below as its top functions. This is intended to give you an instant insight into partitura implemented functionality, and help decide if they suit your requirements.

Match two note arrays
Create a note array from a PartitionPart
Convert input array to a Notearray object
Create a note array from a list of notes
Estimate the maximum voice connections
Estimates a list of best possible connections
Compute the pairwise cost between two notes
Make note features
Return a list of all note functions
Load a score from a file
Load a match
Make a list of feature features
Slice a note array by start_time
Tries to tie notes at a time boundary
Load a score file
Sanitize a Part object
Pretty print the timepoint
Convert a music file into a note array
Load a nakamrspr file
Compute the metrical position map for each measure
Estimates the symbolic duration of this note
Return the rest_array representation of this array
Return a list of key signatures
Save a single match
Find all tuplets in a voice
Add time measurements to the timeline
Get time maps for a given alignment

Get all kandi verified functions for this library.

partitura Key Features

No Key Features are available at this moment for partitura.

partitura Examples and Code Snippets

No Code Snippets are available at this moment for partitura.

Community Discussions

Trending Discussions on partitura

cannot copy param 0 weights from layer 'fc6'

QUESTION

cannot copy param 0 weights from layer 'fc6'

Asked 2017-Nov-07 at 18:30

I'm trying to make predictions on my trained net but I get this error: cannot copy param 0 weights from layer 'fc6'

Here is my deploy.prototxt

...

ANSWER

Answered 2017-Nov-07 at 18:23

Are you sure you are training on 150 by 227 pixels images? it seems like you supplied only one crop_size parameter and this your input images are in fact 150 by 150.
Using "InnerProduct" layers does not allow you to change the input size. Making such change result with the error message you got.
Check your training log and see the output sizes of the different layers to verify that this is indeed the case.

Source https://stackoverflow.com/questions/47164706

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

Vulnerabilities

No vulnerabilities reported

Install partitura

You can install using 'pip install partitura' or download it from GitHub, PyPI.
You can use partitura 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 .

Find more information at: