tfra | Scripts to read raw array in python tensorflow

by frankong Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | tfra Summary

tfra is a Python library. tfra has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tfra build file is not available. You can download it from GitHub.

Scripts to read raw array in python tensorflow.

Support

Quality

Security

License

Reuse

Support

tfra has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

tfra has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tfra is current.

Quality

tfra has 0 bugs and 0 code smells.

Security

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

tfra code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tfra is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

tfra releases are not available. You will need to build from source code and install.

tfra has no build file. You will be need to create the build yourself to build the component from source.

It has 79 lines of code, 4 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Read raw data from file .
Write data to file .
Read the ra header

Get all kandi verified functions for this library.

tfra Key Features

No Key Features are available at this moment for tfra.

tfra Examples and Code Snippets

No Code Snippets are available at this moment for tfra.

Community Discussions

Trending Discussions on tfra

Create fragmented MP4 from MP3

QUESTION

Create fragmented MP4 from MP3

Asked 2020-Oct-25 at 05:00

I am trying to convert an MP3 file to a fragmented MP4 like this:

...

ANSWER

Answered 2020-Oct-25 at 05:00

Audio streams have no keyframes which is what MP4 muxer relies on by default to demarcate fragment boundaries. You will have to set a fragment duration.

ffmpeg -i input.mp3 -c:a aac -b:a 256k -f mp4 -movflags +empty_moov+separate_moof -frag_duration 10M output.mp4

Note:

faststart is applicable for regular, non-fragmented output
frag_keyframe tells ffmpeg to start fragments at video keyframes but you don't have a video stream.
-strict experimental hasn't been required for the native AAC encoder since 2016.
frag_duration expects a value in microseconds. 10M = 10 million = 10 seconds.

Source https://stackoverflow.com/questions/64517591

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

Vulnerabilities

No vulnerabilities reported

Install tfra

You can download it from GitHub.
You can use tfra 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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