libraw.py | Python Bindings for libraw | Computer Vision library

by paroj Python Version: 1.0 License: LGPL-2.1

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

kandi X-RAY | libraw.py Summary

libraw.py is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. libraw.py has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install libraw.py' or download it from GitHub, PyPI.

semi-automatically generated using ctypesgen.

Support

Quality

Security

License

Reuse

Support

libraw.py has a low active ecosystem.

It has 17 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 79 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of libraw.py is 1.0

Quality

libraw.py has 0 bugs and 0 code smells.

Security

libraw.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

libraw.py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

libraw.py is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

libraw.py releases are available to install and integrate.

Deployable package is available in PyPI.

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

libraw.py saves you 173 person hours of effort in developing the same functionality from scratch.

It has 429 lines of code, 19 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Desosaic asymmetry
A uint32 representation of the image
Return a numpy array from a memory buffer
Return a numpy array
A NumPy array representing the curve
The cmatrix of the cmatrix
An RGB color palette
Multiplies the image
Pre_mul
RGB color
The calibration values
Colormatrix
Get the libraw version
The xz of the camera

Get all kandi verified functions for this library.

libraw.py Key Features

No Key Features are available at this moment for libraw.py.

libraw.py Examples and Code Snippets

No Code Snippets are available at this moment for libraw.py.

Community Discussions

Trending Discussions on libraw.py

Why are Python operations 30× slower after calling time.sleep or subprocess.Popen?

QUESTION

Why are Python operations 30× slower after calling time.sleep or subprocess.Popen?

Asked 2018-Nov-09 at 17:21

Consider the following loop:

...

ANSWER

Answered 2018-Nov-09 at 16:22

my guess would be that this is due to the Python code being evicted from various caches in the CPU/memory system

the perflib package can be used to extract more detailed CPU level stats about the state of the cache — i.e. the number of hits/misses.

I get ~5 times the LIBPERF_COUNT_HW_CACHE_MISSES counter after the Popen() call:

Source https://stackoverflow.com/questions/53227478

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

Vulnerabilities

No vulnerabilities reported

Install libraw.py

You can install using 'pip install libraw.py' or download it from GitHub, PyPI.
You can use libraw.py 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: