email: Examples¶. Inpainting 1 is the process of reconstructing lost or deteriorated parts of images and videos. See the Package overview for more detail about what’s in the library. scatter from plt. Two types of filters exist: linear and non-linear. mask: mask image. We often face the problems in image detection and classification. Finally, the mask is applied to give the final image: output_im = im1 * (1. The PyFPDF package is actually a port of the “Free”-PDF package that was written in PHP. size, (255, 255, 255, 255)) return Image. Using the Image Class # The most important class in the Python Imaging Library is the Image class, defined in the module with the same name. Click the button in the Toolbox, or use Tools → Transform Tools → Crop in the image window. In this dataset. imread('py. The image in Step 4 has some black areas inside the boundary. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The image sharpen function (by Alex R. Python: Make transparent areas in PIL image to white (or any other solid opaque colour) Posted by twig at 11:48 AM Thursday, December 22, 2011 I had some issues with transparent PNG images causing some strange effects when resized and saved with Python's PIL Image library. new("RGBA", img. You can also use masks to hide portions of images, and vector objects. Potential mask. The fourth channel is an alpha channel. For informations on modifying a clip (cuts, effects, etc. Create A Sepia Tone Effect In Photoshop I had no idea that my research into the definition and origins of Sepia would bring me face to face with a cephalopod. It is available free of charge and free of restriction. Join today to get access to thousands of courses. " ()It is typically used to locate objects and boundaries. Creating the environment. So the data set is composed of two type of images, the full color images and segmentation masks. Because a bilateral filter smooths flat regions while keeping edges sharp, it is ideally suited to convert an RGB image into a cartoon. A crucial class in the Python Imaging Library is the Image class. This is the rectangle that encases our main object. Note, in the following example we are assuming you have the Python Imaging Library installed. Masked arrays are arrays that may have missing or invalid entries. mp4") # We give some time for the camera to warm-up! time. global img. The main idea is to first resize the input image so that its maximum size equals to the given size. Image intensities 50 xp Intensity 100 xp Histograms 100 xp Masks 50 xp Create a mask 100 xp Apply a mask 100 xp Tune a mask 100 xp Filters 50 xp Filter convolutions. There are tons of features built in to create all types of image maps effortlessly. There are various processes involved in the Images masking services namely, layer mask, clipping mask, alpha channel masking. Help; Privacy; Terms; Advertise. This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. We create a mask, which uses an "inRange" statement, for our specific range. Posted on April 13, 2018 August 11, 2018. e including eyes , nose , mouth ) or like if i want to create the mask only for the ears i want to create mask for : the mask : how to select the region and create mask??. Recon Is an Essential Hacking Skills That's Easier with Python. In this tutorial, you will learn how to convert images from one color-space to another, like BGR Gray, BGR HSV etc. The rest of the pixels in the new image are set to 0. imshow ( cat_img ). Creating an Iterator in Python; Python Weekly statistics (using urllib2, HTMLParser and pickle) Solution: Number guessing game in Python; Show Emoji in Python code; for-else in Python indicating "value not found" Create your own interactive shell with cmd in Python; Create images with Python PIL and Pillow and write text on them. ) can be individually controlled or mapped to data. Click this button to create a new console project and automatically enable the Gmail API: This opens a new dialog. First, let’s see how to create and send a simple text message (both the text content and the addresses may contain unicode characters):. In this tutorial, we will calculate the Normalized Difference Vegetation Index (NDVI). This lesson uses Python to create and view an HTML file. Featured Examples — click an image to try it out!. poly2mask closes the polygon automatically, if the polygon is not already closed. Masks are an array of boolean values for which a condition is met (examples below). To mask a block programmatically, see Control Masks Programmatically. It is often useful to render picture elements (pixels) in separate passes, and then combine the resulting multiple 2D images into a single, final image called the composite. Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will also look at how to implement Mask R-CNN in Python and use it for our own images I am fascinated by self-driving cars. They can be found in rainforests, savannas and deserts. Introduction. When the Input raster (in_raster in Python) and a raster Input raster mask or feature mask data data (in_mask_data in Python) are of the same cell size, and the cells are aligned, they will be used directly in the tool. As this process is same of convolution so filter masks are also known as convolution masks. Creating the environment. You are advised to take references of these examples and try them on your own. A transparency mask will always be converted into alpha transparency. Paste in a bunch of text: Go. point(lambda i: expression and 255) Python only evaluates the portion of a logical expression as is necessary to determine the outcome, and returns the last value examined as the result of the. It was developed by Fredrik Lundh and several other contributors. I have small program in Python that uses gdal and numpy to perform a logarithmic scale of some data into the RGB 0-255 range. A new Python 3. The syntax of imread() function contains a second argument whose default value is cv2. com/python-opencv-based-face-masking-tutorial/ Subscri. This website is all about wxPython, the cross-platform GUI toolkit for the Python language. 1) Use the polygon to create a mask on the latitude-longitude grid so that this can be applied to lots of datafiles outside of python (preferred) 2) Use the polygon to mask the data that have been read in and extract only the data inside the province of interest, to work with interactively. A lot of people keep them as pets. cvCreateImage, it is suggested to construct a Image object instead. Augmentor is an image augmentation library in Python for machine learning. Create a sphere : vtkSphere: Demonstrate sampling of a sphere implicit function Quadric: Create an ellipsoid : vtkQuadric: Create an ellipsoid using an implicit quadric Boolean: Boolean two implicit functions : vtkImplicitBoolean: Demonstrate booleans of two different implicit functions. The Image Module¶. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. The img parameter specifies the image to display and by default the a and b parameters define the location of its upper-left corner. Draw() function to receive an ImageDraw object. Create animated GIFs from YouTube, videos, or images and decorate with captions and stickers. I am trying to create a watermark remover in python using opencv. Run the code below with the Python Idle application on either the Raspberry Pi or the Windows desktop. python software-installation image-processing. The process of filtering is also known as convolving a mask with an image. Mask image (M): The mask, a grayscale image that masks the template; Only two matching methods currently accept a mask: TM_SQDIFF and TM_CCORR_NORMED (see below for explanation of all the matching methods available in opencv). However, if we want to get histogram of specific region of image, we should create a mask image for that and give it as mask. In other words, we'll create the illusion that the image seen in the photo is actually being created by multiple lines of type. 'LabelMe' is not suitable for my case. Once a FITS file has been read, the header its accessible as a Python dictionary of the data contents, and the image data are in a NumPy array. Choose Layer > Transparency > Add Alpha Channel if not yet done. Python Mode for Processing. Responsive images will automatically adjust to fit the size of the screen. Also (thanks to dinasset) another version has come. We have collected a list of Python libraries which can help you in image processing. For more information on the conda command line, see Conda environments ( conda. You can vote up the examples you like or vote down the ones you don't like. A mask is a filter that selectively includes or excludes certain values. Bitmap and mask. To find out more, including how to control cookies, see here. life2coding. Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will also look at how to implement Mask R-CNN in Python and use it for our own images I am fascinated by self-driving cars. In the dialog, do the following: Select + Create a new project. The latest Tweets from Craig (Python) (@PythonGB). The aim of this post is to build a custom Mask R-CNN model that can detect the area of damage on a car (see the image example above). Python programs are nothing more than text files, and they may be edited with a standard text editor program. The masks are then combined into one by taking an element-wise maximum. If we do not have a spatial mask of the target regions, a brain mask can be computed from the data: nilearn. Stephen Maturen/Getty Images. To do that, I went the way of matplotlib. This is rect = (start_x, start_y, width, height). So, using these simple bitwise operations we can overlay an image to another. If I do the following b = [email protected]@Binarize[img]; skeleton =. So we combine the two to get the mask. There hasn’t been a release of this project in a few … Continue reading Creating PDFs with PyFPDF and Python →. This page gives you a few examples showing the main features and customization you can apply. g using username) and build friends list. 23 | YouTuber & Gaming Enthusiast! | Minecraft - https://t. >>> Python Software Foundation. Download the configuration file. Image masking means to apply some other image as a mask on the original image or to change the pixel values in the image. The first thing we need is two layers. png, 100_cockcrow. Masked arrays are arrays that may have missing or invalid entries. We'll be working with the Image Module here which provides a class of the same name and provides a lot of functions to work on our images. Let's begin by creating an array of 4 rows of 10 columns of uniform random number between 0 and 100. And here is the image: Creating RGBA images. The mask-image CSS property sets the image that is used as mask layer for an element. Before you can start to draw something with cairo, you need to create the context. " ()It is typically used to locate objects and boundaries. When a multiband raster is specified for the input raster mask, only the first band will be used in the operation. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, Email: alexander. Python Facts. sprite classes. With these two languages, you will have the skills you need to bring your website design to life. 1) Use the polygon to create a mask on the latitude-longitude grid so that this can be applied to lots of datafiles outside of python (preferred) 2) Use the polygon to mask the data that have been read in and extract only the data inside the province of interest, to work with interactively. ConvertToImage. Just remember about that infinite series of 1 bits in a negative number, and these should all make sense. I would like to add the feature for users to be able to add other users(e. We're going to look into two commonly used edge detection schemes - the gradient (Sobel - first order derivatives) based edge detector and the Laplacian (2nd order derivative, so it is extremely sensitive to noise) based edge detector. They are widely used in cryptography for authentication purposes. Related course: Create Simple GUI Applications with Python and Qt. The mkimage command is used to create images for use with the U-Boot boot loader. You can vote up the examples you like or vote down the ones you don't like. So additions of the image is adding the numbers of two matrices. Image processing with Python image library Pillow Python and C++ with SIP PyDev with Eclipse Matplotlib Redis with Python NumPy array basics A NumPy Matrix and Linear Algebra Pandas with NumPy and Matplotlib Celluar Automata Batch gradient descent algorithm Longest Common Substring Algorithm Python Unit Test - TDD using unittest. ma module provides a nearly work-alike replacement for numpy that supports data arrays with masks. Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. Python: iterate (and read) all files in a directory (folder) One should use ‘os. For color image, you can pass [0],[1] or [2] to calculate histogram of blue,green or red channel respectively. For this exam. I am building a web application in Django and I'm creating users through the Users auth. They will. Creating GIFs with OpenCV. So the "matrix dimensions for the image" do not need to agree with anything, since threshold is a scalar. Combine the thresholded image with the inverted flood filled image using bitwise OR operation to obtain the final foreground mask with holes filled in. The transparency is often the fourth channel of an image ( e. Supported versions are 9. The Python Imaging Library, or PIL for short, is one of the core libraries for image manipulation in Python. However - please correct me if I'm wrong - this code is creating three intermediate masks and, since I'm processing images, those masks will be pretty big. An alpha value of 255 will make the pixel fully opaque, value 0 will make it fully transparent, values in between will make the pixel partly transparent. The mask image must have the same size as the image, and be either a bi-level image (mode “1”) or a greyscale image (“L”). This way, for each intended image there are actually two bitmaps: the actual image, in which the unused areas are given a pixel value with all bits set to 0s, and an additional mask, in which the correspondent image areas are given a pixel value of all bits set to 0s and the surrounding areas a value of all bits set to 1s. a) Exploring image dataset: Reading images, printing image arrays and actual images, decomposing images into different color channels b) Cropping and Resizing images: Cropping rectangle images to a square, resizing high resolution images to a lower resolution for easier processing, creating gray scale images from color images and standardizing. First, before we. # You can either use loops: squares = [] for x in range(10): squares. The need for donations What is the Best Programming Language for Numerical Analysis Python, that's what we think! But there exist lots of programming languages which are suitable for solving numerical projects, so even without googling, you can be sure, that there must be different opinions. You can use the PhotoImage class whenever you need to display an icon or an image in a Tkinter application. Python snippets to create an image alpha mask from a PNG and a PNG from the resulting mask. Creating what is commonly known as a mask in Sony Vegas requires the use of an applet called Cookie Cutter. Select the input file (raster) as Brazil_mosaic. The following are code examples for showing how to use cv2. However I have found that there is another one called PyFPDF or FPDF for Python. You have any Image, and for that image to be useful you have to have it as an Array full of numbers. # You can either use loops: squares = [] for x in range(10): squares. Create A Sepia Tone Effect In Photoshop I had no idea that my research into the definition and origins of Sepia would bring me face to face with a cephalopod. Rather than interpolating new pixels or removing a rigid column of pixels, seam carving removes fluid seams of 8-connected pixels. BW = poly2mask(xi,yi,m,n) computes a binary region of interest (ROI) mask, BW, of size m-by-n, from an ROI polygon with vertices at coordinates xi and yi. We pass the Image object to the ImageDraw. However, it is a lot more convenient if you can create the animated GIFs directly from your Python script, so that you don't have to work with temporary files. Python - Tkinter Canvas - The Canvas is a rectangular area intended for drawing pictures or other complex layouts. XlsxWriter is a Python module that can be used to write text, numbers, formulas and hyperlinks to multiple worksheets in an Excel 2007+ XLSX file. Masks are an array of boolean values for which a condition is met (examples below). Image or wx. Yes, the word Sepia is Greek for cuttlefish (relatives of the squid), and Sepia is the reddish brown pigment derived from the ink sac of this ocean creature. Python docs mention that there is also iglob (),. You can even adjust contrast, etc. NCAR is sponsored by the National Science Foundation; Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation. Create an account or log in to Pinterest. They are extracted from open source Python projects. By applying a mask M on an image I, the pixels of I whose corresponding pixel in M are true are copied into a new image. conda config--add channels conda-forge conda create-n myenv python-fmask conda activate myenv Applications that use python-fmask ¶ Cloud Masking : It is a Qgis plugin for cloud masking the Landsat (4, 5, 7 and 8) products using different process and filters such as Fmask, Blue Band, Cloud QA, Aerosol and Pixel QA. Python Tutorial on Reading in & Manipulating Fits Images and Creating Image Masks (with brief introduction on DS9) Abstract: This tutorial involves reading in an image of a galaxy and its model, reading in a previously constructed segmentation map and creating a mask, and creating a "residual" image while writing it to a new fits file. At the end of the day, we use image filtering to remove noise and any undesired features from an image, creating a better and an enhanced version of that image. We're creating the new beauty essentials: easy-to-use skincare and makeup that form the backbone to your routine. Python OpenCV Based Face Masking, Overlaying for Videos and Webcam Source Code: http://www. Python is a great programming language to learn when getting started. The corner type parameter specifies which corner it is. Using Masks with Images Masking An Image As shown previously there are a couple of ways to mask an image, so as to make part of the image transparent. Images are everywhere! We live in a time where images contain lots of information, which is sometimes difficult to obtain. Using a Python recipe? Installing ActivePython is the easiest way to run your project. I already know the SpaceNet (NVIDIA. What's this? This repository contains a Python application that can be used to quickly generate labelled data for image segmentation tasks. There is a section on how to install pip. When we overlay the image of a mustache over a background image, we need to identify which pixels from the mustache image should be displayed, and which images from the background image should be displayed. Python Remove List Duplicates Reverse a String. A sample project for building Mask RCNN model to detect the custom objects using Tensorflow object detection API. If the current icon theme is changed, the icon will be updated appropriately. Using the Image Class # The most important class in the Python Imaging Library is the Image class, defined in the module with the same name. With Python using NumPy and SciPy you can read, extract information, modify, display, create and save image data. Unlike many other snake species, pythons don’t produce venom - they are non-venomous snakes. paste(out, None, mask) # build a new multiband image im = Image. Create a boolean mask from an array. So when you try to find the contours, you will get all the curves also. They will be highly useful while extracting any part of the image (as we will see in coming chapters), defining and working with non-rectangular ROI etc. From inspiration to production, build intelligent apps fast with the power of GraphLab Create. All the input images are read in dataset. Don’t share any personal information like your full name or address! Here’s an example: screenshot Save Your Project Step 3: The. Python: iterate (and read) all files in a directory (folder) One should use ‘os. Also please note there are several categories of images. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. Learn more. No dimensions at all really, just a 1-by-1 scalar -- it's not an image with any dimensions. The sheer complexity and mix of different. Next, let's click on the Start Menu and right click My Computer. Some of the operations covered by this tutorial may be useful for other kinds of multidimensional array processing than image processing. However - please correct me if I'm wrong - this code is creating three intermediate masks and, since I'm processing images, those masks will be pretty big. compute_background_mask for brain images where the brain stands out of a constant background. This addition was the subject of PEP 465. You could create a hemisphere mask by using the whole brain as a mask, and then creating another mask where all voxels to the right (or left) of the midline are 1's. ), see Clips transformations and effects. To do this tutorial you need some basic knowledge of Python. Then click on Environment Variables. How to Hide Text Within an Image. Tutorial: Creating GUI Applications in Python with QT by Alex Fedosov. Previous Article Flip image in OpenCV Python. Can anyone suggest an image labeling tool? I need a tool to label object(s) in image and use them as training data for object detection, any suggestions? P. Look for the latest version on the Python project's downloads page. From Python 3. As a result the pixels of the red rectangle use the luminance value of the mask content as the alpha value (the transparency), and we see a green-to-red gradient as a result:. Thanks to Cookiecutter and the audreyr/cookiecutter-pypackage project template for making Python project packaging way more tolerable. OpenCV Python – Read PNG images with transparency channel. Focuses on creating visualizations with matplotlib. Bitmap and mask. Step 1: Turn on the Gmail API. The real important part is the rect we define. In fact, you will find that the Gimp-Python scripts start with the line #!/usr/bin/python. The mask must have the same dimensions as the template. conda create -n env-01 python=3. get_at() Gets the bit at the given position and pygame. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to:. One approach for isolating regions of images is to create a binary mask and multiply it with the image you are working with. [email protected] In the remainder of this blog post I'll discuss common issues that you may run into when rotating images with OpenCV and Python. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text. DataFrames from Python Structures There are multiple methods you can use to take a standard python datastructure and create a panda’s DataFrame. But the Mask R-CNN authors had to make one small adjustment to make this pipeline work as expected. In this section we present the different sorts of clips, how to create them, and how to write them to a file. the mask which i want to create can be of some specific region of the image , For example this is the image from which i want create mask of the face of cat( i. In this tutorial, I'll teach you how to compose an object on top of a background image and generate a bit mask image for training. After the initial release, I got tons of great ideas from all of you, along with some very useful code submissions either in the comments or by a pull request on the Github page. If a third image is given this is treated as a grayscale. We create a mask, which uses an "inRange" statement, for our specific range. Flask is an open source web application framework for Python. First, before we. Here we are just going to write a few lines of Python code and it will convert our RGB image into a binary image. With wxPython developers can create applications on Windows, Mac OS, and on various Unix systems. Creating a mask with transparent pixels in Python I would like to create a NEW image that makes all the pixels that where previously larger than 1 to now have the. How can I use the numpy optimization to do that?. The Python Imaging Library, widely known as PIL as well or Pillow in newer versions, (in newer versions known as Pillow) is a free library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. Hi, I'm trying to use the function paste() to paste a image into another image but I can't get it work! Is it the right function to use or is there any other function that's better? Here's my very simple code: from PIL import Image import ImageDraw im = Image. A mask can be applied on an image of the same dimensions, but of any type. namedWindow("Fo. How to perform feature standardization. From the simplistic and the tasteful, to the extravagant and the grungy, adding borders is just a matter of layer masks and using the proper filter. With the wine dataset, you can group by country and look at either the summary statistics for all countries' points and price or select the most popular and expensive ones. That's pretty. In this course, you will learn to process, transform, and manipulate images at your will, even when they come in thousands. But the Mask R-CNN authors had to make one small adjustment to make this pipeline work as expected. Data scientists and researchers at Facebook AI Research (FAIR) pioneered a deep learning architecture, called Mask R-CNN, that can create a pixel-wise mask for each object in an image. Python Program to Find Hash of File. VideoCapture("video. Thank you to everyone for contributing. Next, we specify some HSV values for the color red. I am trying to create a watermark remover in python using opencv. In today’s post, we’ll build an Instagram “Pin” effect in Python, where an image is made to stay in specific position while the camera moves around it. The goal of template matching is to find the patch/template in an image. Image filters are not only something we use to make our pictures on social networking sites look cool, they are useful and powerful techniques for processing videos and images not only for printing in an offset; but also to compress and improve playback and speed of on-demand services. So you load up your images normally, and then create the masks for them. Featured Examples — click an image to try it out!. Tynker fuels technological creativity across thousands of schools and powers the imagination of 60 million kids worldwide. Step 1: Edge-aware smoothing using a bilateral filter. The following example code receives an Amazon S3 event input and processes the message that it contains. Images can have masks for transparent drawing, and can be made from a variety of sources including bitmaps and icons. I grabbed the two images below from photographers Adrian Durlea and Erik Soderstrom. Type y (for yes) when prompted to download the packages. Create sub-masks. compute_epi_mask for EPI images. Click on the mask in the layer panel, then go to image > apply image. Previous Article Flip image in OpenCV Python. If the sprites have a mask attribute, it is used as the mask, otherwise a mask is created from the sprite's image (uses pygame. The masks are then combined into one by taking an element-wise maximum. Allure’s New Article Qualities CBD Regular’s Soothing SerumOur company is extremely pleased to announce CBD regular’s CBD Soothing Serum happens to be showcased in Allure‘s jot down regarding the latest CBD that is top-quality!. See the Package overview for more detail about what’s in the library. Composing images with Python is fairly straight forward, but for training neural networks, we also want additional annotation information. Masks in python. Inpainting¶. The primary difference of plt. Make egg carton masks for second grade fables plays. % matplotlib inline import numpy as np import skimage. The windows should appear on the desktop like in the above image. This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. How to create large training dataset for CNN for satellite image classification? I am finding a public satellite image dataset with road & building masks. So additions of the image is adding the numbers of two matrices. Then loaded that mask image in OpenCV, edited original mask image we got with corresponding values in newly added mask image. You’ll want to ensure you have strong contrast if your image is close in value like this photograph of Lisa. Masks are an array of boolean values for which a condition is met (examples below). So, when this package converts a PIL image with transparency, the resulting wx. What text editor you use will probably depend on your operating system: any text editor can create Python programs. where is a possibility. The mask must be an X11 bitmap of the same size as the main bitmap. 0 instead of 255 to make the result a floating number. After you created a gif, you can crop, resize, rotate and compress this animated gif file( or any other JPEG, PNG and BMP images ) at ResizeImage. Then filled remaining background with gray. The rest of the pixels in the new image are set to 0. Below we will see an example on how to change a particular region of an image. Step 4: Store the final image into the disk. If you don’t like the result, try dragging. Removing contours from an image using Python and OpenCV By Adrian Rosebrock on February 9, 2015 in Image Processing , Tutorials Awhile back I was going through /r/computervision when I stumbled across a question asking how to remove contours from an image using OpenCV. owner and group are used when creating a tar archive. This allows you to save your model to file and load it later in order to make predictions. The alternate use of this function is to display textures, video images, etc. Combine the thresholded image with the inverted flood filled image using bitwise OR operation to obtain the final foreground mask with holes filled in. While comparing all images with all other images is a squared ordered (O^2) operation. It was developed by Fredrik Lundh and several other contributors. Bitwise Operations. Use either the built in Python dictionary or the Counter class from collections to count the tokens. These libraries provide an easy and intuitive way to transform images and make sense of the underlying data. When working with OpenCV Python, images are stored in numpy ndarray. seamlessClone(src, dst, mask, center, cv2. Open up an text editor, copy & paste the code below. Below we will see an example of how to change a particular region of an image. I have a couple of images in a python script that I want to add together. To resize an image, OpenCV provides cv2. So I'd suggest not to scan the whole image to detect all non-black pixels, but rather scan all four edges line by line, to detect black stripes to be removed - and break the scan as soon as a non-black pixel is found. ma module provides a nearly work-alike replacement for numpy that supports data arrays with masks.