Python Pillow saturation

In this article, we will learn Colors on an Image using the Pillow module in Python. Let's discuss some concepts: S-saturation, and L-lightness of color. For example- #ffff00 represents yellow where hue is 0.63, saturation is 1.00 and also the lightness value is 0.50 Python Pillow - Colors on an Image. Advertisements. Previous Page. 0.33, saturation: 1.00 and also the lightness value of 00ff00 is 0.50. The Image Color module provides around 140 standard color names, based on the color's supported by the X Window system and most web browsers. Color names are case insensitive Python pillow package can be used for creating thumbnails, converting from one format to another and print images, etc. 0.33, saturation: 1.00 and also the lightness value of 00ff00 is 0.50. The Image Color module provides around 140 standard color names, based on the color's supported by the X Window system and most web browsers. Color. Using Python PIL, I'm trying to adjust the hue of a given image. I'm not very comfortable with the jargon of graphics, so what I mean by adjusting hue is doing the Photoshop operation called Hue/saturation: this is to change the color of the image uniformly as shown below: Original: With hue adjusted to +180 (red): With hue adjusted.

Pillow is a fork of PIL (Python Imaging Library) Pillow and PIL cannot co-exist in the same environment. Before installing Pillow, uninstall PIL. a two by two matrix, and depending on the saturation we will draw black dots in this matrix. # Create a Half-tone version of the image def convert_halftoning(image): # Get size width, height. Python Pillow Example - Adjust Image Contrast. In the following example, we will change the image contrast with a factor of 1, which gives our original image. Then with a factor of 1.5, which increases the image's contrast. And then with a factor of 0.5, which greys out the image You can adjust the brightness of an image using Python Pillow library. Adjusting the brightness mean, either increasing the pixel value evenly across all channels for the entire image to increase the brightness, or decreasing the pixel value evenly across all channels for the entire image to decrease the brightness The Python Imaging Library uses a Cartesian pixel coordinate system, with (0,0) in the upper left corner. Note that the coordinates refer to the implied pixel corners; the centre of a pixel addressed as (0, 0) actually lies at (0.5, 0.5). Coordinates are usually passed to the library as 2-tuples (x, y). Rectangles are represented as 4-tuples.

Pillow is a fork of PIL, Python Imaging Library. PIL was released in late 2009 and maintained until 2011. In 2011 PIL development stopped. Luckily PIL fell on a soft place since pillow library picked up from where it's left and it continues to exist as pillow today Increased saturation with the same image returns desired result - The text was updated successfully, but these errors were encountered: wiredfool added a commit to wiredfool/Pillow that referenced this issue Sep 18, 201 ImageColor Module¶. The ImageColor module contains color tables and converters from CSS3-style color specifiers to RGB tuples. This module is used by PIL.Image.new() and the ImageDraw module, among others. Color Names¶. The ImageColor module supports the following string formats: Hexadecimal color specifiers, given as #rgb, #rgba, #rrggbb or #rrggbbaa, where r is red, g is green, b is blue. Digital Image B&W, Grayscale Color Modes. This method can be particularly useful if you're looking to achieve a truly B&W or grayscale image. L: This image mode has one channel that can take any value between 0 and 255 representing white, black and all the shades of gray in between.It's an 8-bit grayscale image mode The most recent version is 2.2.1 and is supported by python 2.6 and above. To install Pillow on Windows machines you can use easy_install: easy_install Pillow. To install Pillow on Linux machines simply use: sudo pip install Pillow. To install Pillow on Mac OS X I had to first install XCode and then install the the prerequisites is via.

How to process images with Python PIL library

FYI, Photoshop uses a scale of -180 to +180 for this hue setting (where -180 equals +180), that may represents the HSL hue scale (expressed in 0-360 degree) Cropping. The crop method takes a tuple of 4 coordinates specifying the top left and bottom right corners of the rectangle the image should be cropped to. Obviously the latter needs to be to the right and below the former, and both need to be within the original image. The documentation does not say what happens if they are not but you might like to experiment if you have nothing better to do

The following are 30 code examples for showing how to use PIL.ImageEnhance.Contrast().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example Python ImageCms - 30 examples found. These are the top rated real world Python examples of PIL.ImageCms extracted from open source projects. You can rate examples to help us improve the quality of examples. Programming Language: Python. Namespace/Package Name: PIL. Class/Type: ImageCms The following are 30 code examples for showing how to use PIL.ImageEnhance.Brightness().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example

Python Pillow - Colors on an Image - GeeksforGeek

Fundamentally, anything in Pillow that's not explicitly bigger or smaller is an 8bit per channel image. radarhere changed the title The value range of the HSV mode Value range of the HSV mode on Apr 1, 2019. radarhere mentioned this issue on May 3, 2019. Document pixel range #3826. Merged In this tutorial, we will list all modes supported by python pillow. All modes supported by python pillow. 1 (1-bit pixels, black and white, stored with one pixel per byte), (3×8-bit pixels, Hue, Saturation, Value color space) I (32-bit signed integer pixels) F (32-bit floating point pixels) LA (L with alpha) PA (P with alpha) RGBX (true. Pillow LUT tools. This package contains tools for loading, manipulating, and generating three-dimensional lookup tables and is designed for Pillow library. Lookup tables are the powerful instrument for image color transformations and used in many graphics and video editors. Loads 3D lookup table from .cube file format How to calculate brightness of an image python. Basic Image Processing In Python, = (R + G + B) ÷ 3 Let's give a try one of their algorithm, what about Luminosity. the code below will give you the brightness level of an image from 0-10. 1- calculate the average brightness of the image after converting the image to HSV format using opencv. 2- find where this value lies in the list of.

Python ImageCms.profileToProfile - 21 examples found. These are the top rated real world Python examples of PIL.ImageCms.profileToProfile extracted from open source projects. You can rate examples to help us improve the quality of examples Overview: Convert method of Image class in Pillow supports conversion between RGB, CMYK, grey scale, black & white images and images whose color depth is defined by a color palette. Convert method supports adaptive palette - a customized palette based on the mostly used colors of the image and a web palette of 216 colors

Python Pillow - Colors on an Image - Tutorialspoin

saturation (float or tuple of python:float (min, (Tuple for RGB Image and int for grayscale) for the area outside the transform in the output image (Pillow>=5.0.0). This option is not supported for Tensor input. Fill value for the area outside the transform in the output image is always 0 Pengantar Manipulasi Gambar dengan Python dengan Pillow. Foto: Chris Webb. Pillow mendeskripsikan dirinya sebagai garpu PIL yang bersahabat, PIL menjadi Python Imaging Library yang sekarang sudah tidak berfungsi. Untungnya Pillow masih sangat hidup dan menyediakan fungsionalitas pengeditan gambar yang komprehensif Sorting Algorithms Visualized in Python. Last week there was a great sorting algorithm post by morolin, where they showed an animation of quite a few different sorting algorithms.. Morolin built their visualization in Golang. Today, we'll try implementing our own version, using Python 3 Saturation is an indicator of the vibrancy of the color. Finally, Value represents the brightness of the color. Conversion from RGB to HSV. We can convert values from the RGB model to the HSV model as shown below. Implementation in Python. We take user inputs for RGB values. Next, we convert these to HSV

These numbers denote the Hue, Saturation and Value. CMYK: Each pixel consists of 4 numbers ranging from 0-255(both inclusive). These numbers denote the brightness of Cyan, Magenta, Yellow and Key(Black). Example print(img.mode) # Outputs- 'RGB' convert() Pillow's convert() method is used to change the colour mode of an image. Sometimes this. colorgram.py is a Python library that lets you extract colors from images. Compared to other libraries, the colorgram algorithm's results are more intense. colorgram.py is a port of colorgram.js, a JavaScript library written by GitHub user @darosh. The goal is to have 100% accuracy to the results of the original library (a goal that is met) The default behavior is to return a new Image object of the same dimensions in mode transform.outMode. 参数: im - A PIL Image object, and im.mode must be the same as the inMode supported by the transform. transform - A valid CmsTransform class object. inPlace - Bool (1 == True, 0 or None == False) The Pillow library has a getdata() There's a Python library that computes these ratios for you, (hue, saturation, lightness) space, and picking the colour with the closest lightness to the background. That means I get something with sufficient contrast but that isn't too dark or too light Unfortunately this does not work in Python 3, I am having errors like: UnicodeEncodeError: 'charmap' codec can't encode characters in position 42099-42101: character maps to <undefined> Furthermore, Pillow 5 documentation now suggests using. im = Image.open(StringIO(data)) but cannot make it work with my string built above

Python Pillow - Quick Guide - Tutorialspoin

It continues to improve, and the features described here are tested with Pillow 5.1 and Python 3.6 as of April 2018. Pillow will probably be on any packaged distribution of Python 3, or it may be installed with (note the capital P) pip install Pillow Pillow includes the basics of image processing. with functions that are documented by the. What are some methods to analyze image brightness using Python , Calculate Image brightness with Python Pillow. GitHub Gist: instantly share code, notes, and snippets. 1- calculate the average brightness of the image after converting the image to HSV format using opencv. 2- find where this value lies in the list of brightness range PIL/Pillowはコンパクトで高速なPython用の画像ライブラリです。 よく使う処理をまとめました(随時更新) PILとPillowの違い. 基本的にPILを使う理由はありません、Pillowの方がリサイズフィルタのバグフィックスがされており高品質です。 Pillowの速度につい

Changing image hue with Python PIL - Stack Overflo

def add_color_saturation (image, amount = 0.5): Color saturation converter = ImageEnhance. Color ( image ) return converter . enhance ( amount ) Save the PIL image in django models or serve as django fil Pythonで彩度、コントラスト、明度、シャープネスを適用する. import PIL. Image. img = PIL. Image. open ( IMAGE_PATH) saturation_converter = ImageEnhance. Color ( img) contrast_converter = ImageEnhance. Contrast ( img The Python output didn't show the 200 response message. I adjusted lines 44 and 60 to point to the local IP of the rpi (which I've got acting as an access point if that makes any difference) and could get the 200 response while trying to access from both phone and PC although I never saw any output split() The split() method is used to split an image into its constituent bands. split() returns a tuple in which each element is an image containing one band from the original image. Example. In this example, r, g, and b are objects of Image class and contain one band each(Red, Green, and Blue respectively) from the original image. # Split the image into its constituent bands r, g, b = img.

画像の彩度、明度を変える. 画像処理 OpenCV python. opencv のimreadで読み込んだ画像はBGR (青緑赤)の3チャンネルからなるndarrayなので、これを色空間変換により色相 (Hue)、彩度 (Saturation)、明度 ( Value )からなる HSV 色空間に変換し、彩度と明度を調整します。 saturation (float or tuple of python:float (min, max)) - How much to jitter saturation. saturation_factor is chosen uniformly from [max(0, 1 - saturation), 1 + saturation] or the given [min, max]. Should be non negative numbers The key Python packages you'll need to follow along are NumPy, the foremost package for scientific computing in Python, Matplotlib, a plotting library, and of course OpenCV. This articles uses OpenCV 3.2.0, NumPy 1.12.1, and Matplotlib 2.0.2

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Image Manipulation in Python Codemento

Sorting by HSL ''''' Something the original library lets you do is sort the colors you get by HSL. In actuality, though, the colors are only sorted by hue (as of colorgram.js 0.1.5), while saturation and lightness are ignored. To get the corresponding result in colorgram.py, simply do:.. code:: python For this tutorial, I used OpenCV 3.4.1 and Python 3.6. If you have any questions regarding OpenCV and its numerous applications, please check out this link. There are numerous guides here that cover topics, such as image processing, object detection, machine learning, etc. Load an Image Huli (狐狸) means fox in Mandarin Saturation: It indicates the range of grey in the color space. It ranges from 0 to 100%. Sometimes the value is calculated from 0 to 1. When the value is '0,' the color is grey and when the value is '1,' the color is a primary color.. Value is the brightness of the color and varies with color saturation. It ranges from 0 to 100%. When the value is '0' the color space will be totally black Python | Visualizing image in different color spaces. OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on pictures or videos. It was originally developed by Intel but was later maintained by Willow Garage and is now maintained by Itseez. This library is cross-platform that. However, when the simulated device has a much wider gamut than the output device, you may obtain marginal results.:param inputProfile: String, as a valid filename path to the ICC input profile you wish to use for this transform, or a profile object:param outputProfile: String, as a valid filename path to the ICC output (monitor, usually.

Python Pillow - Adjust Image Contrast - Python Example

Image and video analysis is a python based project. It is coded in python programming language. The project is easy to use and implement. Python is a high-level programming language. It is a popular machine learning program. Image and video analysis is image and video processing techniques. This project is based on machine learning techniques Hsv Red Color Range Python. Hsv Red Color Range Python.This is a for a red, but feel free to try to find your own colors. The colorsys module defines bidirectional conversions of color values between colors expressed in the rgb (red green blue) color space used in computer monitors and three other coordinate systems: Due to requiring float math, this method is slower than There are a couple of ways to do this in python to convert image to grayscale. But a straight forward way using matplotlib is to take the weighted mean of the RGB value of original image using this formula. Y' = 0.299 R + 0.587 G + 0.114 opencv_transforms This repository is intended as a faster drop-in replacement for Pytorch's Torchvision augmentations. This repo uses OpenCV for fast image augmentation for PyTorch computer vision pipelines. I wrote this code bec,opencv_transform One such module is Python colorsys module. Yes, as the name suggests, with colorsys module, we can have values in the form of different bi-directional color schemes. With this there would a equivalent color value for all the standard type of color schemes-(Hue Lightness Saturation) YIQ (Luminance (Y) In-phase Quadrature) HSV (Hue Saturation Value

Python Pillow - Adjust Image Brightness - Python Example

Seaborn in fact has six variations of matplotlib's palette, called deep, muted, pastel, bright, dark, and colorblind.These span a range of average luminance and saturation values: Many people find the moderated hues of the default deep palette to be aesthetically pleasing, but they are also less distinct. As a result, they may be more difficult to discriminate in some contexts, which is. Create a Vignette Filter using OpenCV in Python. Vignette is a popular image filter that we use to darken the regions marking the boundary of an image. So this averts distractions while viewing the main content. The brightness and saturation decrease as we move radially outwards. Hence, as a direct result, the central portion of the image. To access each pixel in the images we are using this syntax: image.at<Vec3b> (y,x) [c] where y is the row, x is the column and c is B, G or R (0, 1 or 2). Since the operation can give values out of range or not integers (if is float), we use cv::saturate_cast to make sure the values are valid

PyTorch版のYOLO v3を作っている人がいたので試してみようと思っています。 github.com ただ、Trainにデータ拡張が入っていないのでデータ拡張ロジックを追加したいと思ったところ、 Albumentationsというライブラリを見つけました。 github.com 物体検出やセグメンテーションにも GRABIT starts a GUI program for extracting data from an image file. We will have to first install the Python Pillow Imaging Library: adds support for opening, manipulating, and saving many different image file formats. Following steps should be taken: 1. 3 Scrapy is a Python framework designed for crawling web sites and extracting structured data Pillow is a Python Imaging Library (PIL), which adds support for opening, manipulating, and saving images. The current version identifies and reads a large number of formats. The current version identifies and reads a large number of formats

Python颜色增加模块:coloradd 简介-李兴球的博客_Python创意编程技术前沿_pygame

Concepts — Pillow (PIL Fork) 8

  1. RGBからCMYKへの変換は印刷をする際に必要になりますが、通常はPhotoshopなどの有料の画像編集ソフトを使います。実はこれはPythonで無料でできます。Pillowを使ったやり方を紹介します。バッチ処理にも便利です
  2. If you want to avoid the JPEG encoding and decoding (which is lossy) and potentially speed up the process, you can now use the classes in the picamera.array module. As OpenCV images are simply numpy arrays arranged in BGR order, one can use the PiRGBArray class and simply capture with the 'bgr' format (given that RGB and BGR data is the same size and configuration, just with reversed color.
  3. To install the current scikit-image you'll need at least Python 3.6. If your Python is older, pip will find the most recent compatible version. # Update pip python -m pip install -U pip # Install scikit-image python -m pip install -U scikit-image. To include a selection of other scientific Python packages that expand scikit-image 's.
  4. nomacs includes image manipulation methods for adjusting brightness, contrast, saturation, hue, gamma, exposure. It has a pseudo color function which allows creating false color images. A unique feature of nomacs is the synchronization of multiple instances. From google it seems you can install Python pillow on Ubuntu using: Code: Select all
  5. The Python Imaging Library uses a Cartesian pixel coordinate system, with (0,0) in the upper left corner. Note that the coordinates refer to the implied pixel corners; the centre of a pixel addressed as (0, 0) actually lies at (0.5, 0.5). Coordinates are usually passed to the library as 2-tuples (x, y)
  6. Pour ce faire, Pillow te permet de splitter ton image en bandes. Pour une image RGBA, il y a 4 bandes: rouge, vert, bleu et alpha. Tu veux garder vert et alpha. Une fois que tu as tes bandes, tu te crées de nouvelles bandes avec juste des 0 pour le rouge et bleu et tu ré-assembles le tout pour former ton image. En gros ça donne
  7. Giới thiệu về thao tác hình ảnh bằng Python với Pillow. Ảnh: Chris Webb. Pillow tự mô tả mình là ngã ba PIL thân thiện, PIL là Thư viện hình ảnh Python hiện không còn tồn tại. May mắn thay, Pillow vẫn còn rất nhiều và cung cấp chức năng chỉnh sửa hình ảnh toàn diện. Về.

Python PIL Tutorial - HolyPython

  1. In Python, there are several packages we can use to handle images, such as OpenCV, Pillow and Scikit-Image. In my case, we will be using mainly OpenCV. With this fresh knowledge, let's go back to our first objective: Identify where the 5-room units are in the site plan
  2. imally pre-processed sensor data, meta-data about the picture such as camera model, lens model and camera settings under which the picture has been taken and possibly a fully Continue reading From numbers to images - Raw image.
  3. Install Forge for Minecraft 1.8, 1.8.8, 1.8.9 or 1.9, Raspberry Jam Mod and Python. Make sure you have the Pillow image processing library installed for Python (pip install Pillow), and the sample scripts that I included with Raspberry Jam Mod (the one you want most is pysanka.py).. If you have Windows you can install Forge, and then just use the exe installer for Raspberry Jam Mod which will.
  4. distances are normally real. Kevin. True. Definition: an Ultrasphere is the 4d surface described by the equation R^2 = w^2 - x^2 + y^2 - z^2 for some constant non-negative R. Objective: plot the 3D cross section of an Ultrasphere where x=0. The intersection of an ultrasphere and the WY plane is a circle
  5. Adding colors to the Mandelbrot Set. In order to add some colors, one could associate a color for each possible value of iterations. In the following example, we are switching from RGB colors to HSV (hue, saturation, value) colors
  6. The Python Imaging Library •PIL is the original image processing library •Pillow is an extension of PIL •'HSV': 3x8 Hue, Saturation, Value. Reading and writing images •Image.open(filename)—loads image from file •The format is derived from the file content
  7. We'll fire up Python and load an image to see what the matrix looks like: (28,28) The matrix has 784 values and this is a very small part of the complete matrix. Here's a LIVE coding window for you to run all the above code and see the result without leaving this article! Go ahead and play around with it: Let's now dive into the core idea.

Video: Losing transparency with ImageEnhance

ImageColor Module — Pillow (PIL Fork) 8

  1. 本文实例主要关于Python实现读取MRI(核磁共振成像)为numpy数组,使用imshow显示为灰度. 代码如下: import matplotlib.pyplot as plt import matplotlib.cbook as cbook import matplotlib.cm as cm import numpy as np # Data are 256x256 16 bit integers with cbook.get_sample_data('s1045.ima.gz') a
  2. The code is licensed under the BSD license. The source code can be obtained from GitHub, which also hosts the bug tracker. The documentation (which includes installation, quick-start examples, and lots of code recipes) can be read on ReadTheDocs. Packages can be downloaded from PyPI, but reading the installation instructions is more likely to.
  3. Saturation; ใส่ฟิลเตอร์สำเร็จรูป (Instant Filter) Pillow - Python Imaging Library(PIL) ใช้สำหรับการปรับแต่งรูป เปิดโปรแกรมโดยใช้ Python 3.5 ขึ้นไป หลังจากนั้นโปรแกรม.

How to convert an image to Black & White in Python (PIL

Using the Python-OpenCV module, you can transform the image from color to black-white, from black-white to gray, or from RGB to Hue Saturation and Value. Understand Image types and color channels are essential when working with the cv2 module in Python. We can think of Images in Python are numpy arrays, and using the cv2 module, we can modify. The loader is responsible for retrieving the source image that thumbor will work with. This configuration defines the module that thumbor will use for it. This must be a full namespace module (a.k.a. python has to be able to *import* it). LOADER = 'thumbor.loaders.http_loader' Nearest Neighbor Interpolation. This method is the simplest technique that re samples the pixel values present in the input vector or a matrix. In MATLAB, 'imresize' function is used to interpolate the images. The pictorial representation depicts that a 3x3 matrix is interpolated to 6x6 matrix To run this code you will need to install the Python packages: pillow and picamera (sudo pip3 install pillow picamera). Add Tip Ask Question Comment Download. If you use a green laser or if your laser is not correctly tracked, you will need to adjust the hue, saturation, and value threshold of the program accordingly To put together everything we have described so far, the Python script which would return the RGB values of an image looks as follows: from PIL import Image im = Image.open('baboon.png') rgb_im = im.convert('RGB') print rgb_im.getpixel((325,432)) There is one point left before you move forward to the image inverse operator

How to use Pillow, a fork of PIL - PythonForBeginners

We use a modified version of a Python package called mtcnn by Iván de Paz Centeno. This implementation suited us as it was based around Keras and the Tensorflow framework. It also included a pre-trained weights file which we use out-of-the box. Our modifications were to replace the use of OpenCV with Pillow for image scaling operations 1. python -m pip install Pillow. After installing Pillow you should now be able to run QPal-Master. Simply run the file in IDLE but unlike pip, use the Run. Customized option. This will let you specify which file to read in and this brings me to how this code actually works. There are two modes: 1 RGB to HSV color conversion. Enter 6 digits hex code or enter red, green and blue color levels (0..255) and press the Convert button The hue is the base colour, made more intense or washed away by its saturation. The third component, simply called value, determined how dark the colour is. Since the hue has been arranged, by definition, in a rainbow fashion, sorting directly on the HSV values is likely to produce somehow visually pleasant results

The saturation is the intensity of the color. A saturation of 0 is white, and a saturation of 255 is maximum intensity. Another way to think about it is to imagine saturation as the colorfulness of a certain pixel. Value is the simplest of the three, as it is just how bright or dark the color is Python language to call the linear change of saturation, and linear change of brightness. is a third-party image processing library provided by the python (https:// python-pillow.org.

Changing image hue with Python PIL - SemicolonWorl

Interactive Maps in Python, Part 2. Vincent Lonij. Nov 27, 2017 · 6 min read. Making interactive maps with python is like riding a bicycle (once you learn , you never forget). That is why part 2 of our 3-part tutorial on interactive maps still uses the NYC bikeshare data as an example. In part 1 we covered how to do basic visualizations with. Paint, Paper, Panoramas, and Python. I'm an artist and a python developer, two things that rarely occupy the same worlds, let alone the same sentence. However, I have recently found a way to combine these two passions: Panoramas. My current smartphone takes excellent pictures. It does a great job at figuring out colors, lighting, and focus. Images in OpenCV are represented by NumPy arrays. To access a particular image pixel, all we need to do is pass in the (x, y) -coordinates as. image[y, x] image [y, x] : → Launch Jupyter Notebook on Google Colab. OpenCV Getting and Setting Pixels. # images are simply NumPy arrays -- with the origin (0, 0) located at

image file. Share Your Views. This program is distributed in the hope that it will be useful, http://www.cambridgeincolour.com/tutorials/color-spaces.htm. RGB to YIQ. The function transforms.ColorJitter can adjust an image in terms of brightness, contrast, saturation as well as hue. For the brightness, contrast and the saturation, if the input parameter is a, then it would randomly select an value from [max(0, 1-a), 1+a], while the input is (a, b), then it would randomly select a value from the range [a, b].As for the hue, if the input is a, then the. The number of wheat ears is an essential indicator for wheat production and yield estimation, but accurately obtaining wheat ears requires expensive manual cost and labor time. Meanwhile, the characteristics of wheat ears provide less information, and the color is consistent with the background, which can be challenging to obtain the number of wheat ears required. In this paper, the.

An Introduction to Image Manipulation in Python with Pillo

Cython 0.20.2 → 0.21 (Cython is a language that makes writing C extensions for the Python language as easy as Python) Pillow 2.4.0 → 2.6.0 (Python Imaging Library (fork)) PyOpenGL 3.1.0b3 → 3.1.0 (Cross platform Python binding to OpenGL and related APIs) SQLAlchemy 0.9.6 → 0.9.7 (SQL Toolkit and Object Relational Mapper The Raspberry Pi camera module is widely used in open source hardware projects as a low cost camera sensor. However, when the stock lens is removed and replaced with other custom optics the sensor will return a non-uniform background and colour response which hampers the use of this excellent and popular image sensor. This effect is found to be due to the sensor's optical design as well as.