Crop image based on mask python

Crop image based on mask python. Is there any way to crop (roughly) to get only white circle pixel? (For example, I have image resolution of 1920x1080 but the ball's size won't exceed 50x50 pixel. # Import packages. 5. In this article, we explored image segmentation using: Mask R-CNN, GrabCut, and OpenCV. Normal crop; Specify outside area; Crop the center of the image; Crop the largest square from the rectangle Jun 23, 2024 · How to crop images in Python with the Pillow library, prepare images for computer vision in OpenCV, and perform automated cropping with Cloudinary. Apply Threshold Jan 3, 2023 · Prerequisites: Python OpenCVSuppose we have two data images and a test image. jpg") As thresholding is binarization, we start with a grayscale image. Sep 13, 2022 · def crop_excess(image): y_nonzero, x_nonzero = np. Its API uses familiar Python and SciPy interfaces and idioms like context managers, iterators, and ndarrays. Jan 31, 2020 · I'm trying to crop segmented objects outputed by an MASK RCNN the only problem is that when i do the cropping i get the segments with mask colors and not with their original colors. Crop the image using the bounding box coordinates. When a solid image is used as a mask image, the entire image is composited at a constant ratio. I want to extract the main object from an image. Jan 17, 2018 · Steps. I used np. Nov 27, 2016 · I am using torch with some semantic segmentation algorithms to produce a binary mask of the segmented images. Where the mask is zero, I want to copy the pattern pixel to the image pixel. cvtColor(mask, cv. How can I solve? Nov 30, 2015 · I am new to OpenCV. To be clear I need to crop it on a per pixel basis. Afterwards I used the watershed algorithm. Now I want to crop the image based on the box coordinates. imread(), so it doesn't matter which OpenCV or Pillow is used, but be aware that the color order is different. Create a mask: height,width = img. I have a set of different images, where in each image I have a set of different bounding boxes (al least 3 bounding boxes for each image). nonzero(image) return image[np. I describe what I mean with a picture. Jan 4, 2017 · rasterio. morphology import convex_hull_image original = io. May 14, 2019 · The image processing library Pillow (PIL) of Python provides Image. imshow("cropped", crop_img) cv2. a white rectangular frame) almost in the center of each image. open two times. Below is the code: Jan 19, 2021 · For instance, in a face detection application, we may want to crop the face from an image. One of the edge detection algorithms provided by OpenCV is the Canny algorithm. Jul 22, 2019 · Mask R-CNN, which stands for Mask Region-based Convolutional Neural Network, is a deep learning model that tackles computer vision tasks like object detection and instance segmentation. mask. you need an additional mask for the circular ROI. Define a python function to cut images based on the mask with opencv (Yeah I could do the cutting process with Photoshop as well but I have like 10 different images and I want to automate this process. Step 1: Read the image cv2. I have to segment, crop, and save them as separate images. max(x_nonzero)] Now I would like to use the cropped mask and impose it on the original RGB image so that the excess background is removed. datasets import load_sample_images. crop() for cutting out a partial area of an image. import numpy as np. Jun 23, 2023 · face-crop-plus-i path/to/images-dt-1-et 1--device cuda:0 To just generate masks for images (e. Start by getting the height and width of the required patch from the shape of the image. dataset = load_sample_images() temple = dataset. cv2. Import the necessary libraries. find region using the poly points; create mask using the poly points; do mask op to crop; add white bg if needed; The code: # 2018. imread('test. Two main types of image segmentation of Mask R-CNN def crop_image(img,tol=0): # img is 2D image data # tol is tolerance mask = img>tol return img[np. any(0))] This crops out the upper black space from the image but does not work for the lower part for obvious reasons. imshow("orig", img) cv2. Mar 17, 2023 · Clipping, extracting to masks, and subsetting rasters are common GIS operations. How do I crop an image based on custom mask in python? 3. color import rgb2gray from skimage. Jul 26, 2021 · I have to crop a lot of images manually. 01. size box = (padding, padding, x_size-padding, y_size - padding) img_unpadded = img. Jan 31, 2018 · The problem: This produces a black image with no data. Using the mouse, you specify the crop rectangle by clicking and Apr 8, 2022 · I have a hyperspectral image. I also have a similar array with a fixed pattern (a checkerboard, see here). This method assumes that the blue box is a rectangle aligned with the X and Y image axes. I have another array, 800x600 of mask values. tools. python opencv cropper crop-image image-crop image-resize image-saliency mtcnn-face-detection main-body-crop smart-image-crop Updated Oct 12, 2021 Python Jun 24, 2016 · There are now Python modules easier to use for that, as rasterio. Also, using a Gaussian blur on the grayscale image will help get rid of some high-frequency edges and noises. Here's a example: Input image (left), Mask (right) Result after masking. Black or White). waitKey(0) img = cv2. PIL stands for ‘Python Image Library‘. Assuming you ran cv2. You can run this implementation on Google Colab Notebook. So I thought I'd try to do it using Python. extract(image != 0, image) or image = image[image != 0] but those return an array and no more a matrix. When invert=True, the mask will be applied to pixels that overlap your shape, rather than areas outside the shape. Jan 20, 2014 · Hi Dave, there are two ways to crop an image based on a circle. For a black background we create a black canvas and then draw upon it using the OpenCV function “bitwise_and()” with the previously obtained mask. (4 coordinates) . I am trying to crop the bounding box of the inside the image using python opencv . imread("meter. Also, you need two bitwise_and calls, since you want to maintain the white background in the final image. Canny(img, 0 Jul 23, 2020 · How do I crop an image based on custom mask in python? 0. We already utilized cropping in our tutorial, Getting and setting pixels with OpenCV, but we’ll review it again for Mar 26, 2020 · I am trying to learn opencv and implementing a research project by testing some used cases. 17 20:39:17 CST # 2018. Aug 31, 2022 · You can try to find the bounding box around your predicted mask and then crop your image using the detected bounding box. Is there a way that I can clip (crop) the original image along these points in Python server, and save the Nov 12, 2020 · In this article, we will learn to crop an image using pillow library. Conclusion. E. This may not be what the size of the image you have, so the markers will be off. The first method would be to take the area of the circle and convert it to a rectangle (based on the radius) and crop the image that way. Stepwise Implementation For this, we will take the image shown below. Thus, out[mask == 255] = img[mask == 255] only copies the first channel, which is blue since OpenCV uses BGR color ordering. uint8) 2. So is there a way to crop a region in an image to 50x50 in size?) May 15, 2017 · A simple way is to first get your scaled width and height, and then crop from the image center to plus/minus the scaled width and height divided by 2. However, a better approach would be to take your circle and apply a bitwise ‘and’ using the cv2. new() and use it as a mask image. min(y_nonzero):np. Convert BGR and RGB with Python, OpenCV (cvtColor) You can now change the size and orientation of an image. threshold(gray, 10, 255, cv2. crop() function that crops a rectangular part of the image. imread('Diabetic-Retinopathy_G_RM_151064169. So you can crop rectangle and add alpha channel with information which pixel should be visible - and here you can use mask with circle from answer. Apr 19, 2023 · In this tutorial, we will implement image edge detection in Python. uint8) cropped_img[Y, X] = img[Y, X] For the sake of completeness, I provide below a solution using scipy. By using the Harris Corner Detector, I would get the two farthest detections on the Y-axis of the image and crop it based on them. THRESH_BINARY)[1] # optional morphology to clean up small spots kernel = cv2. In this paper, an automatic extraction algorithm is proposed for crop images based on Mask RCNN. crop(box) img_unpadded. crop(box_tuple) Parameters : Image_path- Location of the image IMG- Image to crop box Apr 9, 2022 · Here is the processing in Python/OpenCV for your new image. So I run the below codes to get my output: image2 = mpimg. Let's find out which data image is more similar to the test image using python and OpenCV library in Python. png') image = rgb2gray(original) chull = convex_hull_image(image) I want to crop the original image according to the convex hull in order to eliminate empty space that is in the image (original image attached Oct 8, 2019 · I have a binary mask and an image of the same size. Share. tif) x_size, y_size = img. 0 documentation; This article describes the following contents with sample code. bitwise_and(img1, img1, mask=circle_img) 4. Aug 31, 2019 · Mask for extracting our ROIs (image source author) Applying this mask on the original image gets us the desired segments over a background of our choice (e. multiply, but it gives an image like below, but, I want the human, not white pixels!!: I ploted the mask Oct 12, 2017 · Create a canvas with zeros and use the polygon as mask to original image cropped_img = np. It is notable that the images Jun 18, 2019 · from skimage import io from skimage. 3. shape mask = np. cvtColor(img, cv2. If you need to crop the result, you should crop the alpha channel to the bounds of the donut by getting the bounding box of the external contour, then using Numpy slicing to crop the both the image. Read the image into a NumPy array. imshow("original", img) # Cropping an image. crop() - Pillow (PIL Fork) 10. and we have (x1,y1) as the top-left vertex and (x2,y2) as the bottom-right vertex of a rectangle region within that image, then: Feb 27, 2015 · Masking out the information. shape) # Print image shape. I would then like to crop the images based on that mask. I want to mask out the human. One practical application of cropping in OpenCV can be to divide an image into smaller patches. Let’s start by copying the metadata from the original data file. The first one is square cropping and the second one is cropping any shape based on your chosen coordinates (cropping coordinate-wise). Rasterio employs GDAL to read and writes files using GeoTIFF and many other formats. Using the code from this excellent SO answer, it would result in something like this: Jul 9, 2020 · Let's start by loading the temple image from sklearn: from sklearn. Dataset downloaded from GEE and pytorch lightning used for training Sep 3, 2021 · In order to quantitatively evaluate the comprehensive performance of the crop image extraction algorithm based on Mask RCNN, this paper adopts Recall, Precision, Average precision (AP), Mean average precision (mAP), and F-measure (F 1) [25,26] as the evaluation of crop image extraction index. It may be the era of deep learning and big data, where complex algorithms analyze images by being shown millions of them, but color spaces are still surprisingly useful for image analysis. from PIL import Image img = Image. import cv2. I want to crop the object out of the resized_im with transparent background. Python. Python Sep 28, 2020 · outputMask: GrabCut mask based on mask approximations from our Mask R-CNN (refer to the “GrabCut with OpenCV: Initialization with masks” section of our previous GrabCut tutorial) output: GrabCut + Mask R-CNN masked output; Be sure to refer to this list so you can keep track of each of the output images over the remaining code blocks. Syntax: Mar 13, 2023 · save_crop only save the bbox images，but i want crop the mask area from the images， how can i do？ The text was updated successfully, but these errors were encountered: 👍 2 dtstimdjumaniyazov and Ankitkumar803 reacted with thumbs up emoji Jun 17, 2021 · Cropping an Image is one of the most basic image operations that we perform in our projects. As I mentioned in my comment, your provided image has a white circle around the cow and then a transparent background. Input: import cv2 import numpy as np # load image as grayscale img = cv2. Any help is appreciated i had this question and found another answer here: copy region of interest If we consider (0,0) as top left corner of image called im with left-to-right as x direction and top-to-bottom as y direction. 2) Cropping image using PIL and then saving back as TIF. Any tips on how I could do this ? Oct 16, 2021 · I want to trim/crop a rectangular based on transparent pixel and in the end to obtain this: The result should be the equivalent of Photoshop function Image -> Trim, Based on transparent pixels, trim away top, bottom, left, right: How I can accomplish this using my code? The masks will have many shapes and sizes. In the next section, you’ll learn about different types of images in the Python Pillow library. zeros(img. Nov 11, 2023 · Learn how to crop images using Python's OpenCV library with coordinate examples. tif') Using python - OpenCV I have succeeded to read the following image, detect the rectangles , crop them and save every rectangle as an image. I was able to achieve this but the cropped image is in gray color instead of color as in the original image Dec 25, 2019 · Floodfill the gray image and set background to black; Get the largest contour and its bounding box; Draw the largest contour as filled on black background as mask; Apply the mask to the input image; Crop the masked input image; Input: DeepLab model produces a resized_im(3D) and a mask seg_map (2D) of 0 and non-zero values, 0 means it's the background. crop((0, 0, 201, 335)) the first two numbers define the top-left coordinates of the outtake (x,y), while the last two define the right-bottom coordinates of the outtake. Feb 26, 2019 · I need to crop the license plate out of a car's image with python given the coordinates for bounding boxes of the plate. ix_(mask. , as part of your research pipeline), you can run segmentation feature separately. findContours on your image, you will have received a structure that lists all of the contours available in your image. Dec 20, 2019 · Use cv2. jpg') Converting to gray. and this is a sample of the rectangles that I have succe Sep 16, 2020 · In order to crop raster data, rasterio. May 2, 2021 · There are 2 things that are flawed in your code: The two images you presented are of different sizes; (859, 1215, 3) and (857, 1211, 3). Importing library import cv2 Importing image data image = cv2. Therefore I create a Shapely Polygon out of the variable geometry, using Mar 29, 2022 · What is the appropriate data format to save the binary mask in general? PNG? JPEG? Is the mask size needed to be set square such as (224x224), not a rectangle such as (224x448)? Is the mask value fixed when the size is converted from rectangle to square? For example, the original mask image size is (600x900), which is binary [0,1]. Image cropping is sometimes used synonymously with image clipping or image trimming as well as image cutting. I can detect the subject, create a mask, but I have no idea how to get the points from the very bottom part and crop based on them. jpg') gray = cv2. gray = cv2. 01 Mar 23, 2014 · The polygon points along with the uncut, original image are sent by client to the server. open(image. ) This answer here 'How do I crop an image based on custom mask in python?' is already good but not exactly what I want, how can I extend the Dividing an Image Into Small Patches Using Cropping. The Crop Image tool is a moveable, resizeable rectangle that you can position over the image and perform the crop operation interactively using the mouse. min(x_nonzero):np. face-crop-plus-i path/to/images-dt-1-et-1-mg '{"glasses": [6]}' Please beware of the following: May 20, 2020 · I modified the code from a similar thread to work with your requirements:. without interpolation, color normalization, etc. Jun 6, 2017 · I'm new to Image Processing in Python and I'm trying to solve a common problem. So it would be too slow to process it in python. – Jan 8, 2013 · You can use numpy, convert the image to array, find all non-empty columns and rows and then create an image from these: import Image import numpy as np image=Image Feb 1, 2021 · You initialize a three channel image, but only write to the first channel, such that mask is all empty in the second and third channel. com In this tutorial we will demonstrate how to crop images using Python’s PIL library. It builds upon an existing architecture called Faster R-CNN. So you can change the line above to: out_image, out_transform = mask(src, geoms, invert=True) Sep 10, 2016 · How to set the coordinates to crop. An 800x600 image is an 3-dimensional array of uint8, 800x600x3. Dec 20, 2023 · Output Image: Inorrect Crop with Canny Example. I tried some code but I didn't get the result that I wanted: Feb 3, 2022 · Hi all, I am attempting to crop around the image of this car below to acquire a transparent background: image 1 Using an approach developed in here I have been able to acquire a silhouette of the car as shown below: image 2 Using the following script I try to create a mask by turning the greyscale silhouette into a binary silhouette, which can be overlayed upon the original. spatial. this is the image Apr 5, 2022 · (Note that the crs is EPSG: 32651). PIL provides additional functionality for image processing, such as resizing, rotating, and applying filters, making it a powerful tool for working with images in Python. Here's the outputed image with the segments : and here's one segment (we have 17 segments in this image ) : Aug 27, 2023 · Hi, I have an archive of images taken from a green field, with a quadrat (i. You repeat opening the raster dem using rasterio. bitwise_and function. 2. img = cv2. On another issue: Python doesn't need trailing ;. See full list on pyimagesearch. Dec 12, 2019 · EDIT: @Mark Setchell made a good point: If i could use the mask image directly to crop the image that would be great. I need to open the images from Input folder, crop the inner part of the quadrate, and save the image in the Output folder, without any change in other image properties (i. To track a color, we define a mask in HSV color space using cv2. Hot Network Questions Apr 2, 2020 · Here is one way to do that in Python/OpenCV. imshow(temple) Since, we need to use the second image as mask, we must do a binary thresholding operation. Crop image according to border within the image python. bitwise_and method must be a binary image, meaning it can only have 1 channel. circle(mask,(i[0],i[1]),i[2],(255,255,255),thickness=-1) 3. Mask R-CNN utilizes deep learning to achieve pixel-level segmentation accuracy, while GrabCut offers an interactive and efficient approach. . To implement image edge detection in Python you can use the OpenCV library. Sep 23, 2020 · Here is one way to do that in Python/OpenCV by thresholding on the blue color and then finding the min and max bounds of the white. May 14, 2019 · Image processing with Python, NumPy; Resize images with Python, Pillow; Image files are read as ndarray with OpenCV's cv2. imread() method loads an image from the specified file. The 1st input is your image and 2nd input is the marker image (zero everywhere except at marker positions). Edge detection is a very common image processing technique. Each pixel can be represented by one or more Nov 1, 2022 · There are some issues with your code that could not produce the output clipped image: You repeat opening the vector file two times. If the image cannot be read Apr 2, 2012 · Yes, I know that im. image[100:200, 50:100, :] slices the part between pixels 100 and 200 in y (vertical) direction, and the part between pixels 50 and 100 in x (horizontal) direction. Detecting the contours was successful but then I couldn't find a way to crop. Currently, it is only possible to plot an image with an overlay mask on the object. e. imread(path_to_new_image) # Run To apply this mask to our original color image, we need to convert the mask into a 3 channel image as the original color image is a 3 channel image. crop(box) is used for cropping the image. Save the cropped image. import matplotlib Mar 15, 2020 · I have an image like this: all zero pixels; a square with some non-zero values. ). 4. zeros((height,width), np. any(1) col In [20]: out_img, out_transform = mask (raster = data, shapes = coords, crop = True) Next, we need to modify the metadata. Also: It is maybe possible to lay the normal image precisely on the mask image so that the black area on the mask would cover the blue-ish area on the normal picture. In this article, we will discuss how to crop images using OpenCV in Python. mask) includes an option invert. Jun 10, 2024 · By specifying the coordinates of the region you want to keep, you can easily crop an image to focus on the important parts. Nov 9, 2020 · In previous lessons, you reclassified a raster in Python; however, the edges of your raster dataset were uneven. Any white pixels on the mask (values with 1) will be kept while black pixels (value with 0) will be ignored. First, the Fruits 360 Dataset label is set with Labelme. Apr 12, 2022 · How to crop an image in OpenCV using Python crop_img = rightImg[y:y+h, x:x+w] cv2. ConvexHull , if this option is still preferred Jun 18, 2018 · But looping every pixel until we found the white isn't feasible. I'm also assuming that you know the index of the contour that was used to surround the object you want. Example 1: Cropping an image using PIL in Python 3 Nov 27, 2021 · I recognized pink wood in an image which is identified in the image below with the green box. g. Aug 25, 2023 · How to mask an image in OpenCV Python - We can apply a mask to an image by computing the cv2. Then, the Fruits 360 May 14, 2019 · Crop a part of the image with Python, Pillow (trimming) Composite the whole area at a constant ratio. As an example, create a solid image with a value of 128 with Image. GaussianBlur(gray, (7, 7), 0) Apr 29, 2020 · I'm developing a CNN for image recognition. In the line: img2 = img. This will only consider images for which the masks are actually present. any(0), mask. PIL adds image editing and formatting features to the python interpreter. Syntax : IMG. And if we were developing a Python script to recognize dogs in images, we may want to crop the dog from the image once we have found it. The segmented image after applying the thresholding is as below: The Feb 12, 2018 · 1. An image is a two-dimensional array of pixels, where each pixel corresponds to a color. Jan 12, 2023 · Reading the image using OpenCV as an array: image = cv2. waitKey(0) Be careful of marked as duplicates. mask3 = cv. any(1),mask. inRange() passing lower and upper limits of color values in HSV. imread(file) cv2. Any ideas on how this could be done? kenya-crop-mask-> Annual and in-season crop mapping in Kenya - LSTM classifier to classify pixels as containing crop or not, and a multi-spectral forecaster that provides a 12 month time series given a partial input. Using the gdal package for Python it is very easy to automate these processes. Jan 3, 2023 · In this article, we will learn to crop an image using pillow library. blur(img,(2,2)) gray_seg = cv2. Feb 14, 2022 · I'm trying to crop an image based on the mask image and paste the cropped image on the new background image. bitwise_and() between the mask and the image. Jan 30, 2024 · Output:. Crop area from 3d array. COLOR_GRAY2BGR) # 3 channel mask Then, we can apply this 3 channel mask to our color image using the same bitwise_and function. Find the coordinates of the bounding box. Feb 5, 2014 · what i did was make a 1D array with all values of the points which are within a region (determining that region was by geographical coordinates, rather complicated in my case), and than another array in which the row/col index of these pixels were put, and than process it further like that, but depending on the final application, that may be a good or bad tactic Nov 6, 2021 · So I was working on instance segmentation but now I am just able to segment 1 of the object from the image. shape mask0, mask1 = mask. I have an image having a signature of a person. I've tried things like image = np. The following code snippets show how to crop an image using both, Python and C++. Further in the post, you will get to learn about these in detail. Bands and Modes of an Image in the Python Pillow Library. Image. The result is shown in the image below. max(y_nonzero), np. PIL has in-built Image. To crop an image we make use of crop() method on image objects. Input Image: Canny Edge Detection: Output Image: Also, I thought of using Harris Corner Detector after applying Canny to the images that didn't crop quite well. Each category in the Dataset can draw a curve based Dec 15, 2023 · Ever wanted to isolate that perfect sunset from a crowded photo? Or extract a specific object from a complex image? In this tutorial, you will learn two methods for cropping an image using Python. mask(). I have successfully created the bounding box but failed in crop. images[0] plt. shape, dtype=np. Copy that image using that mask: masked_data = cv2. mask (in more recent versions, it is rasterio. Draw the circles on that mask (set thickness to -1 to fill the circle): circle_img = cv2. Apr 30, 2019 · Then you can crop the image using img[r1:r2, c1:c2] using Numpy slicing. Also Read: Color Identification in Images using Python and OpenCV To tr Apr 30, 2020 · I do not understand, there is no crop in my command. Not the funniest thing to do. Thus, it has many in-built functions for image manipulation and graphical analysis. 2. I would like to crop the image in order to create a new image with only the non-zero values. In this article, you will learn how to simply segment an object from an image based on color in Python using OpenCV. jpg') print(img. COLOR_BGR2GRAY) # threshold input image mask = cv2. Where the mask is not zero, I want to leave the image pixel alone. crop(box_tuple) Parameters : Image_path- Location of the image IMG- Image to crop box After cropping, the image has size of 400x601. This tutorial will demonstrate how to use the Warp() function from the gdal Python API to clip rasters to a specified extent and to clip rasters to a polygon layer. save('unpadded_image. COLOR_BGR2GRAY) blurred = cv2. In this lesson, you will learn how to crop a raster - to create a new raster object / file that you can share with colleagues and / or open in other tools such as a Desktop GIS tool like QGIS. Example images. Now I would like to clip the larger file using rio. Is there any advice for the work? Jul 29, 2019 · I'm trying to crop an image after detecting the contours and then extract information from it using python, opencv, and numpy. Simple methods can still be powerful. cvtColor(image, cv2. Cropping an image means to select a rectangular region inside an image and removing everything outside the rectangle. Jan 23, 2020 · Basically, you just need to use OpenCV's bitwise_and method properly, i. Hot Network Questions Q: How do I crop an image from a bounding box in Python? A: To crop an image from a bounding box in Python, you can use the following steps: 1. Code Sep 3, 2021 · The wide variety of crops in the image of agricultural products and the confusion with the surrounding environment information makes it difficult for traditional methods to extract crops accurately and efficiently. Use loops to crop out a fragment from the image. Let's first load the image and find out the histogram of images. In each image, there are many objects. According to the documentation, the shape variable should be GeoJSON-like dict or an object that implements the Python geo interface protocol (such as a Shapely Polygon). Jan 31, 2019 · How do I crop an image based on custom mask in python? 3. mask masks those areas of the image that you want removed and Crop remote sensing images into deep learning datasets and stitch them based on python. I want to find the edges and crop it to fit the signature in the imag Dec 12, 2018 · Cropping can be easily done simply by slicing the correct part out of the array. Images are always rectangle but some of pixel can be transparent (alpha channel in RGBA) and system will not display it. def crop_image_outside_based_on_transparency(img, tol=0): # img is 3D image data with transparency channel # tol is tolerance (0 in your case) # we are interested only in the transparency layer so: trans_layer = img[:,:,3] mask = trans_layer > tol m, n = trans_layer. getStructuringElement(cv2 Oct 24, 2019 · you can't have circle image. My attempt was to try to threshold the image based on pixel counts. When the Crop Image tool is active in a figure, the pointer changes to cross hairs when you move it over the target image. So, I have applied Canny on the image to get the edges around the main object and got the following output : Here is the code to get this using OpenCV in Python: img = cv2. Here is my python with opencv code: Apr 7, 2020 · Technique 1: Python PIL to crop an image. Improve this answer. But I want to crop only upper and lower part of image not left and right, although box() take 4 tuple but I am not getting how to cropping the upper and lower part of image. The mask keyword argument of the cv2. bitwise_and to mask an image with a binary mask. ghjf shqchl alleel qmpma brzgcros wxbwrc evjxgph yeigmde ifbfoq cejghid