python-tools | support scripts to read/write/process light field data

by lightfield-analysis Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | python-tools Summary

python-tools is a Python library. python-tools has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Collection of support scripts to read/write/process light field data. Please don't hesitate to contact us for any kind of questions, feedback, wishes, or bug reports.

Support

Quality

Security

License

Reuse

Support

python-tools has a low active ecosystem.

It has 28 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

python-tools has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-tools is current.

Quality

python-tools has 0 bugs and 0 code smells.

Security

python-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-tools code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-tools 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.

Reuse

python-tools releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

python-tools saves you 86 person hours of effort in developing the same functionality from scratch.

It has 222 lines of code, 14 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Visualize a scene .
Read the parameters .
Reads a PFM file .
Write a NumPy array to fpath .
Read the light field .
Convert scene to HDF5 file .
Parse the options .
Get all data folders .
Read depth file .
Read disparity file .

Get all kandi verified functions for this library.

python-tools Key Features

No Key Features are available at this moment for python-tools.

python-tools Examples and Code Snippets

No Code Snippets are available at this moment for python-tools.

Community Discussions

Trending Discussions on python-tools

Pip install a python library from within a github monorepo

Creating a package with several python files

QUESTION

Pip install a python library from within a github monorepo

Asked 2020-Jul-23 at 18:30

I have a monorepo github project, within which there is a python lib repo/python-tools, what I would like to do is pip install this library into another project.

Something like:

...

ANSWER

Answered 2020-Jul-23 at 18:30

Try

Source https://stackoverflow.com/questions/63059040

QUESTION

Creating a package with several python files

Asked 2020-Jan-16 at 13:50

I have a folder structure :

...

ANSWER

Answered 2020-Jan-16 at 08:27

The solution was found in : another topic as suggested by Gocht.

It feels hacky and I don't seem to understand why, but this works :

Source https://stackoverflow.com/questions/59756580

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

Vulnerabilities

No vulnerabilities reported

Install python-tools

You can download it from GitHub.
You can use python-tools 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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