Pillow | Python Imaging Library | Computer Vision library
kandi X-RAY | Pillow Summary
kandi X-RAY | Pillow Summary
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
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Top functions reviewed by kandi - BETA
- Builds the list of supported extensions .
- Sets up attributes .
- Convert the image .
- Read the bitmap .
- Load the default font data .
- Save an image .
- Write multiple frames to fp .
- Extract a value from the data .
- Add application marker .
- Compute the regular polygon vertices .
Pillow Key Features
Pillow Examples and Code Snippets
Lines of Code : 0License : Non-SPDX (NOASSERTION)
Copy:param value: value for this key
:param lang: language code
:param tkey: UTF-8 version of the key name Prior to Pillow 2.0.0, very few image code changes were made. Pillow 2.0.0
added Python 3 support and includes many bug fixes from many contributors. from PIL import Image, ImageDraw, ImageFont
font = ImageFont.truetype("Tests/fonts/FreeMono.ttf")
width, height = font.getsize("Hello world")
left, top = font.getoffset("Hello world")
im = Image.new("RGB", (100, 100))
draw = ImageDraw.Draw(im)
width, """
A Pillow loader for .dds files (S3TC-compressed aka DXTC)
Jerome Leclanche
Documentation:
https://web.archive.org/web/20170802060935/http://oss.sgi.com/projects/ogl-sample/registry/EXT/texture_compression_s3tc.txt
The contents of this file a from PIL import Image, ImageDraw, ImageFont
font = ImageFont.truetype("Tests/fonts/NotoSans-Regular.ttf", 16)
def test(anchor):
im = Image.new("RGBA", (200, 100), "white")
d = ImageDraw.Draw(im)
d.line(((100, 0), (100, 100)), "gray")
from PIL import Image
import glob
images=glob.glob("*.jpg")
for im in images:
# print(im)
img = Image.open(im)
img = img.resize((100, 100), Image.ANTIALIAS)
img.save(im+'_resized.jpg')import PIL
from PIL import ImageEnhance
from PIL import Image
image = Image.open("img.jpg").convert("RGB")
contact_sheet = PIL.Image.new(image.mode,(1920,1080))
enhancer = ImageEnhance.Color(image)
images = []
current_location = 0
#!/usr/bin/env python3
import numpy as np
from PIL import Image
# Load base image, extract alpha channel and bounding box and crop to it
base = Image.open('base.png').getchannel('A')
bbox = base.getbbox()
print(f'Base image bbox: {bbox}'import pm4py
import streamlit as st
# from PIL import Image
import pandas as pd
import io
d = {
'case_id': [1, 1, 1, 2],
'activity_id': ['Accepted', 'Awaiting Documentation',
'Complete Activated', 'Approved'],
'timestamp'#!/usr/bin/env python3
from PIL import Image
import numba as nb
import numpy as np
def Rainbow(i):
x = 1 - abs(((i / 60) % 2) - 1)
i %= 360
if (i >= 0 and i < 60 ): r,g,b = 1, x, 0
if (i >= 60 and i < 120):Community Discussions
Trending Discussions on Pillow
QUESTION
Using PIL, I'm applying a rainbow filter to the given image using getpixel and setpixel. One issue, this method is very slow. It takes around 10 seconds to finish one image.
ANSWER
Answered 2022-Apr-03 at 15:21You can convert image to NumPy.array then use numba for improving speed like below:
QUESTION
I want to find the distance between 2 irregular edges in a binary image. That is I have marked with red on the below image. My idea was to draw a colored line (say red) on both the edges and then calculate the distance between them at 10 equal intervals (yellow-colored marking)
I cropped the image into two. Say the top half is
Bottom half is
I want to draw the two red lines or just find the distance between those two somehow. I have been using OpenCV and PILLOW for a lot of steps.
there are also image instances where at few columns there are no black pixels in the top image. How do i calculate the distance of the black pixels only from the top? Just the top image.
...ANSWER
Answered 2022-Mar-22 at 18:00Here is one possible approach. I will leave the details to you. But the idea is to use Numpy argmax (or argmin as appropriate) to get the index of the first white after all black in each column. First I flip the image vertically so that the black is at the top. Numpy argmax, seems to find the first white value along the column.
Input (bottom image):
QUESTION
I get this Error when I try to install Pyodbc , I have already install visual studio and I have Microsoft Visual C++ 12 , 15-19 in my machine but still its giving this error.
...ANSWER
Answered 2021-Nov-12 at 13:38The current release of pyodbc (4.0.32) does not have pre-built wheel files for Python 3.10. The easiest way to get it installed at the moment is to download the appropriate wheel from
https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyodbc
and then install it. For example, if you are running 64-bit Python then you would download the 64-bit wheel and use
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.
But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.
So I did the following:
- write a simple
meta.yamlso I could use conda-build to buildjivelocally - build jive with
conda build . - I looked at the tarball that was produced and it does indeed contain the
jivesource as expected - In my other project, add jive to the dependencies in
environment.yml, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).
Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").
Try adjusting the meta.yaml to something like
QUESTION
Error while installing manimce, I have been trying to install manimce library on windows subsystem for linux and after running
...ANSWER
Answered 2022-Jan-28 at 02:24apt-get install sox ffmpeg libcairo2 libcairo2-dev
apt-get install texlive-full
pip3 install manimlib # or pip install manimlib
QUESTION
I am encountering a segfault when I make a reticulated call to
matplotlib.pyplot.plot().
Steps to produce error:
Create a
...Dockerfilewith the contents:
ANSWER
Answered 2022-Jan-26 at 16:45The problem is that the R binary in rocker/r-ver:latest is compiled against a different BLAS library to the one which the numpy on PyPI is compiled against.
This was explained to me by Tomasz Kalinowski here.
The solution is to ensure numpy uses the same BLAS libraries as rocker/r-ver's R binary does. An easy way to ensure this is to compile numpy from source. This compilation could be performed at either image build-time or container runtime.
To compile numpy at container runtime we can leave our Dockerfile as is, and add a call to system2() after our initial call to reticulate::virtualenv_create(). Altering test.R to become:
QUESTION
I'm build Django app, and it's work fine on my machine, but when I run inside docker container it's rest framework keep crashing, but when I comment any connection with rest framework it's work fine.
- My machine: Kali Linux 2021.3
- docker machine: Raspberry Pi 4 4gb
- docker container image: python:rc-alpine3.14
- python version on my machine: Python 3.9.7
- python version on container: Python 3.10.0rc2
error output:
...ANSWER
Answered 2022-Jan-07 at 19:13You can downgrade your Python version. That should solve your problem; if not, use collections.abc.Mapping instead of the deprecated collections.Mapping.
Refer here: Link
QUESTION
I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.
Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.
After deleting these requirements re-deploy your app and it will work.
QUESTION
I'm working on CI for my Python + Django project. I have to use the python:3.9-alpine image. A weird error is popping in my CI pipelines:
ANSWER
Answered 2021-Dec-05 at 17:35What is the reason of my error?
Did you read my previous answer to a similar question of yours? The last part warns about certain combinations of Alpine + Python and this seems to be happening right now.
I tried to replace psycopg2 with psycopg2-binary but have the same error
The problem here might be a python library that has dependencies on gcc, which is not shipped on alpine by default.
Try replacing this:
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Install Pillow
You can use Pillow 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.
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