gif2numpy | Python library to convert gif images | Computer Vision library
kandi X-RAY | gif2numpy Summary
kandi X-RAY | gif2numpy Summary
gif2numpy is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. gif2numpy 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 gif2numpy' or download it from GitHub, PyPI.
Python library to convert single oder multiple frame gif images to numpy images or to OpenCV without PIL or pillow. OpenCV does not support gif images.
Python library to convert single oder multiple frame gif images to numpy images or to OpenCV without PIL or pillow. OpenCV does not support gif images.
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Quality
Security
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Support
gif2numpy has a low active ecosystem.
It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of gif2numpy is 1.3
Quality
gif2numpy has no bugs reported.
Security
gif2numpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
gif2numpy is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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gif2numpy releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed gif2numpy and discovered the below as its top functions. This is intended to give you an instant insight into gif2numpy implemented functionality, and help decide if they suit your requirements.
- Converts a gif file into a list of frames
- Decompress lzw_min
- Read bits from the stream
- Copy a child to a child
- Convert an image to RGB
Get all kandi verified functions for this library.
gif2numpy Key Features
No Key Features are available at this moment for gif2numpy.
gif2numpy Examples and Code Snippets
Copy
from __future__ import print_function
import gif2numpy
import cv2
images = "Images/Rotating_earth.gif", "Images/hopper.gif", "Images/audrey.gif", "Images/testcolors.gif"
for image in images:
frames, exts, image_specs = gif2numpy.convert(image)
Community Discussions
Trending Discussions on gif2numpy
QUESTION
how to install cmake in Google Cloud Platform
Asked 2019-Dec-06 at 14:50
I am trying to deploy django project which uses dlib library, but while deploying, Google console throws an error that CMake is required to install dlib. These both are in my system but how do I make them to work in Google Cloud? How can I install cmake in Google Cloud? All my packages are mentioned in requirements.txt.
Google console:
...ANSWER
Answered 2019-Dec-06 at 14:50you can install cmake
as
- If you are on CentOS
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gif2numpy
You can install using 'pip install gif2numpy' or download it from GitHub, PyPI.
You can use gif2numpy 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.
You can use gif2numpy 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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