PILasOPENCV | Image functions | Animation library

by bunkahle Python Version: 2.7 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PILasOPENCV Summary

PILasOPENCV is a Python library typically used in User Interface, Animation, OpenCV applications. PILasOPENCV 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 PILasOPENCV' or download it from GitHub, PyPI.

Wrapper for Image functions which are used and called in the manner of the famous PIL or pillow module but work internally only with OpenCV and numpy. Since there is no truetype font support for Python in OpenCV (it exists for the OpenCV C libraries) this module might be useful since it supports all kind of truetype fonts to be integrated in images. It depends on the library freetype-py for this. See below for more details on this. You can also load and save gif images into the numpy format thanks to the gif2numpy and numpy2gif modules. OpenCV does not support the gif format. This library can be used to migrate old PIL projects to OPENCV or if for some reason PIL or pillow cannot be used on your machine or your platform. You install this module with.

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Quality

Security

License

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Support

PILasOPENCV has a low active ecosystem.

It has 15 star(s) with 5 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. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PILasOPENCV is 2.7

Quality

PILasOPENCV has 0 bugs and 0 code smells.

Security

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

PILasOPENCV code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PILasOPENCV is licensed under the MIT License. This license is Permissive.

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

Reuse

PILasOPENCV 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.

It has 2647 lines of code, 141 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Draws a line
Get rgb value
Get color
Get color from given color
Get coordinates from xy coordinates
Create an image from bytes
Validate size
Get the channels and depth
Grab the OS clipboard
Move to the specified frame number
Draw text
Generate mask from text
Create a truetype
Split the image
Create a new Image from a numpy array
Transpose the image
Get rgb value
Get mask from text
Get a list of colors
Draws a polygon
Load a font file
Put data into the image
Move to the current frame position
Return a thumbnail of the image
Save the image to fp
Rotate the image
Compose an alpha composite image
Put an alpha color
Transform the image

Get all kandi verified functions for this library.

PILasOPENCV Key Features

No Key Features are available at this moment for PILasOPENCV.

PILasOPENCV Examples and Code Snippets

PILasOPENCV

Python

Lines of Code : 30

License : Permissive (MIT)

Copy

pip install PILasOPENCV

python setup.py install

from PIL import Image

import PIL.Image as Image

import PILasOPENCV as Image

from __future__ import print_function
import PILasOPENCV as Image
# was: from PIL import Image

im = Image.new("RGB", (51

TO DO:

Python

Lines of Code : 27

License : Permissive (MIT)

Copy

import PILasOPENCV as ImageMode
import PILasOPENCV as ImageColor
import PILasOPENCV as ImageDraw
import PILasOPENCV as ImageFilter
import PILasOPENCV as ImageChops
import PILasOPENCV as ImageFont
import PILasOPENCV as ImageGrab

from __future__ impor

Usage of truetype fonts in PILasOPENCV

Python

Lines of Code : 21

License : Permissive (MIT)

Copy

from __future__ import print_function
import PILasOPENCV as Image
import PILasOPENCV as ImageDraw
import PILasOPENCV as ImageFont
import cv2
# was: from PIL import Image, ImageDraw, ImageFont

font = ImageFont.truetype("arial.ttf", 18)
print(font)
im

Community Discussions

Trending Discussions on PILasOPENCV

how to install cmake in Google Cloud Platform

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 14:50

you can install cmake as

If you are on CentOS

Source https://stackoverflow.com/questions/59212879

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

Vulnerabilities

No vulnerabilities reported

Install PILasOPENCV

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