Extract region of interest opencv python. 1. Use boundingRect() to get the bounds of that contour. 2. Jul 30, 2018 · You are correct about the ROI-Formular which is [y:y+h, x:x+w], however the initial point on y coordinate is wrong that is why you are cropping the white region of the image. A simple approach is to find contours, obtain the bounding rectangle coordinates using cv2. My actual code is this: import cv2 import numpy as np mser = cv2. Feb 28, 2021 · To begin, we will import all required packages. Open a text editor , write following piece of code -. The technique of identifying the position and boundaries of items in a picture is known as object detection. The script itself takes the filename of the image to be cropped on the command line as its only argument. min() method to take the imprint of the original image at the gray and white areas respectively as: import cv2. Figure 2. imshow('dmc', dmc) Result: edited Jul 31, 2018 at 7:50. imread('test_image_house. I am able to give the co-ordinates of my region of interest manually and crop that part img = cv2. cvtColor(frame,cv2. One common feature is to display medical images and outline regions of interest (e. Automatic selection of ROIs (Regions of Interest) using object detection is a computer vision and image processing approach for identifying and extracting regions of interest in an image based on the presence of specified objects. -> crop the selection. boundingRect() then extract the ROI using Numpy slicing. To achieve this, we will again obtain the mask using HSV based extraction method used earlier, first focusing on the balls and then on the table edges. py --image apple_support. It's possible to notice that the coin detection is a little bit more centralized with this approach. In some cases, it might make sense to only apply some type of operation only to a portion of an image. bitwise_and (image, image, mask=maskimage2) Doing this will make everything outside region of interest have binary value of 0. They represent a means for “data folding”, i. I believe that this is possible but since i am a newbie to opencv ,could somebody throw some light on what can be done to detect the multiple pieces of clothing in the following images? Draw Region of Interest ROI on an Image in OpenCV with Python. Draw the contour using drawContours() (with thickness set to -1 to fill the contour) and use this as a mask. I extracted the smaller sub-matrices of a text region but I cannot aggregrate them into a bigger matrix that we see as the text region in the image. Using ROI, working on a specific region of image. Initially, we get the webcam using VideoCapture(0) . Apr 19, 2013 · Extracting the region. adaptiveThreshold - find edges with intensity close to the background intensity. import numpy as np. Nov 20, 2021 · 0 I have been trying to learn OpenCV as I have a deep interest in Computer Vision and one of the problems I have been trying to figure out is how to extract a particular region of an image with OpenCV. feature import hog import numpy as np from scipy import ndimage import PIL fr Jun 2, 2016 · But to select an ROI (region of interest) is fairly simple: Consider img = cv2. py. Jul 6, 2020 · In this tutorial, you learned how to perform region proposal object detection with OpenCV, Keras, and TensorFlow. Reload to refresh your session. Let’s walk through a step-by-step example of cropping a video using OpenCV. # Load the image. Tried to take the largest two connected components,Unfortunately , i am failing. @Damo this. Aug 18, 2020 · I have an image that converted from PDF to PNG. defroi in IDL or, it's GIU version, xroi). VideoCapture('fedex. Thus, it is important to understand how we can extract a region of interest of an original image. def click_and_crop(event, x, y, flags, param): global refPt, cropping. jpg') First, we import OpenCV using the line, import cv2. Specify Coordinates to extract specific entities. Apr 4, 2021 · Introduction to OpenCV Python Tutorials; Reading Image as Color or GrayScale Image in Python using OpenCV; Extracting The Image RGB Values of a Pixel in Python Using OpenCV; Extracting the Image Region of Interest (ROI) in Python using OpenCV; Resizing the Image in Python using OpenCV; Rotate the Image in Python using OpenCV Feb 25, 2013 · 62. inRange (image2, 1, 255) out = cv2. To crop images with OpenCV, be sure you have gone to the “Downloads” section of this tutorial to access the source code and example images. Current problem is that there are multiple Dec 5, 2019 · I have an Image in which i want to extract a region of interest which is a circle and then crop it. Storing as a vector. The most important packages are OpenCV for computer vision operations and PyTesseract, a python wrapper for the powerful Tesseract OCR engine. I have an image and I want to extract a region from it. You've 'zoomed' in on the image to localise your processing to a specific area. COLOR_RGB2GRAY) region = I[248:280,245:288] tools. image_path = 'input image path'. You are only interested in the white Computing a Region of Interest (ROI) mask manually. capture = cv2. The code I used to get a single click point is attached below. Jul 12, 2020 · However, when I execute it, the session crashes in the command r = cv2. pyplot as plt import cv2 try: img = io. imread('test12. . RoI=gray[start_x:width,start_y:height] To expand on my answer, here is a minimal functional example of image subsetting running from an image loaded by url, but using the cv2 package as you Mar 11, 2022 · 0. png. fillPoly(mask, vertices, 255) masked = cv2. Above equation is called Optical Flow equation. Some client provides samples like 100 dpi, 200 dpi or 400 dpi images of same image. ⇨ ⇨ ⇨ ⇨. com/Pa May 27, 2015 · output = cv2. Jan 19, 2021 · OpenCV image cropping results. Building an Application for Facial Recognition Using Python, OpenCV ,Transformers and Qdrant. Jun 12, 2012 · Consider (0,0) as the top-left corner of the image with left-to-right as the x-direction and top-to-bottom as the y-direction. png \. gray_image = cv2. In an effort to move away from IDL and Matlab, I'm exploring what kind of tools I need to implement in python/scipy et al. I'm not sure what your goal is in the end, but it sounds like undistorting this area as if it was a top-down view could be the next step. where: f x = ∂ f ∂ x; f y = ∂ f ∂ y. Apply median filter. Feb 2, 2017 · Assume that the following region in red is your region of interest (ROI), where you would like to find your contours: First, construct an image of black pixels of the same size. uint8) mask. In chaco and matplotlib there are examples of the LassoSelection tool that comes close but Jan 9, 2024 · Moving object detection is used extensively for applications ranging from security surveillance to traffic monitoring. width: 200/32 = 6. jpg") # To load an image to frame. py --image image_example. To get a smaller image from the larger image, just use the array indexes. Thank you in advance for the help. To resume the video, press r. Get the code from here or simply follow the code given below -. cvtColor(I, cv2. Specifically, when using cv2. For example, in the image below, I would like to categorise the heading "Everything but equality", the image below it and the text 3804 3 28 57. OpenCV Bitwise Operations – This tutorial from the OpenCV documentation specifically covers bitwise operations, providing code examples and explanations. My Input image look like . 53. May 20, 2019 · 2. 4. If a person crosses the boundary, we should get an alert. Open up a terminal and execute the following command: $ python motion_detector. Oct 9, 2018 · Vùng quan tâm (region of interest, viết tắt là ROI) là vùng ảnh ta sẽ áp dụng các xử lý / biến đổi trên đó và bỏ qua các vùng còn lại. # Capture the mouse click events in Python and OpenCV '''. -> draw shape on any image. Apr 28, 2022 · To determine what contours are IN and OUT, you can simply use contour hierarchy to differentiate between the two. image = cv2. I am trying to extract regions of interest from an image of a newspaper cover. Using region proposals for object detection is a 4-step process: Step #1: Use Selective Search (a region proposal algorithm) to generate candidate regions of an input image that could contain an object of interest. imshow( 'ROI' ,img) cv2. findContours() to find contours in May 1, 2017 · I tried detecting the two pieces of clothing using opencv connected components. Feb 25, 2018 · I am working on a queue bypass detection project and i need to select a region of interest or the boundary. imread('1. mask = np. From there, open a shell and execute the following command: $ python opencv_crop. Cropping a Video with OpenCV. inRange() methods, then we can simply use cv2. Almost all the operations in this section are mainly related to Numpy rather than OpenCV. OpenCV allows us to do this by processing mouse click events. Set a Region of Interest (ROI) Split and merge images. refPt = [] cropping = False. Then we have to copy that area from the main image to another matrix. Similarly f t is the gradient along time. This example shows manual steps to create and further modify an ROI spatial mask. boundingRect then you can extract/save the ROI using Numpy slicing. externals import joblib from skimage. Here is my working code: void roi(Mat& img,int x_point,int y_point,int width ,int height) { Rect roi = Rect(x_point,y_point,width,height); Mat roiImg; roiImg = img(roi); equalizeHist(roiImg,roiImg); roiImg. OpenCV is an open-source programming library that is used to process images. However, now we have the option of using a function selectROI that is natively part of OpenCV. You signed out in another tab or window. It MUST BE OF SAME size: Now to form the mask and highlight the ROI: Now mask the image above with your original image: Now use cv2. Your cropping output should match mine from the previous section. I am trying to extract all text regions from an image using opencv python. Mask dark pixels - assume the hand is darker than the ball and from the background. mp4') # Bounding box reference points and boolean if we are extracting coordinates. cv2. import cv2. A good knowledge of Numpy is required to write better optimized code with OpenCV. imread(image) fromCenter = False. Welcome to the second post in this series where we talk about extracting regions of interest (ROI) from images using OpenCV and Python. It's not that setting an ROI has affected the image, it's only set a focus to a lower-resolution part of the image. SubElement(result, 'Path') Jul 23, 2018 · The next step is to use the Video Capture of OpenCV, which is quite simple. please see this image Jun 27, 2011 · 0. Must Read: Build document scanner using OpenCV and python. We cannot solve this one equation with two unknown variables. Next, we want to get the height and width of our image, because they will help us define our region of interest (in Given the following code (python) # Import the modules import cv2 from sklearn. The Python OpenCV library can be installed with: pip install opencv-python. How a user can select an ROI in an image by drawing a boundingbox over it. Jun 5, 2019 · Then you are free to select the ROI. I achieved this earlier using the following: mask = np. destroyAllWindows() In line 5, we see that the range of value defined by ROI is zero to zero. Sometimes we are interested in some parts of the image rather than working in the whole image region Feb 25, 2014 · Use contourArea() to find the largest closed contour. Use use the mask to set all pixels in the original image not in the ROI to (0,0,0). cvtColor(image, cv2. Multiple webcams can be selected changing the number in the Since we have to crop the central part, you can compute the XY coordinates of the top left corner of the crop using the image shape and required crop shape. Prerequisites Nov 11, 2019 · First step would be separate out the gray and white masks independently using either cv2. But ( u, v) is unknown. imread('image. EVENT_LBUTTONUP: Pt = (x, y) Nov 4, 2022 · I want to extract each sticker 5x6 and to total 30 sticker like below , how do I do so (expect pic ) I wish to cut image like small pieces - Album on Imgur (original picture) (Python , OpenCV) Extract picture from picture - Album on Imgur following the suggestion: The black pixels along the top are a distraction, so are the black pixels of the QR codes. How Region of Interest (ROI) works in OpenCV using C - To separate a particular portion from the image, we have to locate the area first. The Jan 8, 2013 · Access pixel values and modify them. The result is shown as below in the figure. Sep 13, 2020 · Defining Region of Interest(ROI) Extracting Text from Images(OCR) using OpenCV & pytesseract. cv::Mat input = cv::imread("coin. bitwise_and (image, image2) I first turn image2 into a binary mask, and then bitwise_and it with my original image. nonzero() mask_1c = mask[:, :, 0] indexes = mask_1c. Dec 19, 2013 · 1. 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: Jan 28, 2022 · Summary. pyplot as plt. You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:https://www. May 11, 2018 · But i have a hard time to extract the grey area. nonzero() mask_1c is there because in your previous question you have a 3 channel mask image. These coordinates typically represent: The starting x-coordinate of the face bounding box; The ending x-coordinate of the face Read the image file into python using OpenCV’s imread() method; Resize (if necessary) the images and converting them into grey scale using OpenCV’s resize and cvtColor() methods respectively; Extract the Region of Interest from the image manually using mouse drag. So the code should be like this. Jan 3, 2023 · Python OpenCV – selectroi () Function. patreon. With this method, we can select a range of interest in an image manually by selecting the area on the image. mp4. My approach for getting the grey area is: Detecting contours Creating a convex hull around all contours (so one hull enclosing all, not one hull for each contour) Checking if pixel of source image is within convex hull and applying my analysis algorithm. We’ll use a simple input video and crop it to a smaller region. Thank you. imread(image_path) # create a mask with white pixels. run the code : python capture_events. selectROI(img, fromCenter) lbl = simpledialog. This article has explained how to use OpenCV to slice the region of an image we are interested in and cut off unwanted regions from an image, which we aren’t required for further processing — using the syntax: cropImage = image[startY:endY, startX:endX] That’s it. In this article, we are going to see an interesting application of the OpenCV library, which is selectROI (). imread("lena. If you'd rather store the content as a single array (instead of a tuple of arrays) indexes_v = np. COLOR_BGR2GRAY) # Apply thresholding. 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. Code and Theory - https://github. Jan 8, 2022 · PYTHON : Extracting a region from an image using slicing in Python, OpenCV [ Gift : Animated Search Engine : https://www. Approach: BackgroundSubtraction -> FindContours -> downselect to Region of Interest (smallest encompassing rectangle around contours of an object) that is then sent to be classified and/or Apr 10, 2017 · Learn how to detect facial regions in an image, including eyes, eyebrows, nose, lips, and jaw using facial landmarks, dlib, OpenCV, and Python. waitKey( 0 ) cv2. py --image example_check. Hi I am looking through the various OpenCV algorithms to try and find a solution to a problem I am currently having. In the past, we had to write our own bounding box selector by handling mouse events. Apr 6, 2020 · Figure 4: The second step for blurring faces with Python and OpenCV is to extract the face region of interest (ROI). In it, we can find f x and f y, they are image gradients. RETR_TREE to extract outer or inner contours. selectROI(Window_name, source image) Parameter: Nov 24, 2019 · Introduction. askstring("Image Label", "Please Enter Label") result = eTree. whose two opposite corners are pt1 and pt2. Cropping circle from image using opencv python. In gray scale I do it like this: I = cv2. The concept of a ROI is commonly used in many application areas. In this tutorial we will learn how to get and display a region of interest from an image, using Python and OpenCV. First, we’ll import the necessary libraries. rectangle(): cv2. x: 296/32 = 9. png") I = cv2. def extract_gray_mask(input_image, composite_mask): Oct 2, 2018 · here's my code in python using opencv2. MSER_create() i The idea is to click-and-drag a bounding box around a region of interest to obtain the coordinates. As you could probably tell, we’re not able to divide most of those numbers by 32 (scale factor). jpg',0) box = img[753:1915,460:1315] Nov 9, 2020 · Image Procession and Computer Vision with OpenCV python full tutorial in Hindi. The nice thing about both of these functions is they give a lot of different options with what values the images get padded with. jpg') # Define the region of interest (ROI) w, h = 200, 200. Hence, I'd like to know if there is a solution or an equivalent function to calculate the ROI of an image. It is a crucial challenge in the ever-evolving field of computer vision. The converted image contains several keywords that I wanted to extracted using OCR Tesseract. threshold or cv2. gif of a few still frames from the motion detection: Figure 5: A few example frames of our motion detection system in Python and OpenCV in action. Once you have selected your ROI, press c again to crop the desired section. If we have (x1,y1) as the top-left and (x2,y2) as the bottom-right vertex of a ROI, we can use Numpy slicing to crop the image with: ROI = image[y1:y2, x1:x2] But normally we will not have the bottom-right vertex. To do this, we must capture the event actions of a mouse click and record the starting and ending coordinates of the ROI. Histogram Equalization in OpenCV: You signed in with another tab or window. Access image properties. I have coordinates of left upper corner and right lower corner of this region. T # Returns an Nx2 matrix We need to follow the below steps to implement a document parser pipeline with OpenCV, Tesseract OCR, and Python: Install required python packages. As the GIF below demonstrates, we have correctly extracted each of the characters: Figure 6: Extracting each individual bank check digit and symbol using OpenCV and Python. selectROI(img) and I haven't found another way to select the ROI of an image. Mar 18, 2023 · These coordinates help us extract the region of interest (ROI) from each frame. Your face detector will give you the bounding box (x, y)-coordinates of a face in an image. Jul 12, 2020 · I am trying to execute the following code in Google Colab: #Library load from skimage import io, util import numpy as np import matplotlib. 25. Saved ROIs. jpg"); i had this question and found another answer here: copy region of interest. You are probably looking for: dmc = im[13:13+287, 938:938+287] cv2. rectangle(img, pt1, pt2, color, thickness, lineType, shift) Draws a simple, thick, or filled up-right rectangle. For example if I have an image of the lower half of the face like this: Is there a way I can extract the just Overall Objective: Create Regions of Interest (ROIs) in order to then examine them for objects such as person, dog, vehicle utilizing the Java bindings. Remember that images are just 2D matrices. Jan 20, 2020 · You're almost there, you just need to obtain the x,y,w,h bounding rectangle coordinates using cv2. bitwise_and(image, mask) return masked. 3. for image in filelist: img = cv2. Right now, I need to determine the ROI manually to crop Jan 20, 2017 · For 100 dpi image, it is working but once i change image with different dpi rectangle shrinks. Its original size is 145x200 and the top left corner is set to be in (192,296). # Load image, grayscale, threshold. Mar 13, 2017 · OpenCV 3 Tutorial. Below is a . html ] PYTH May 25, 2015 · Let’s give our simple detector a try. imread(imagePath) cropped = ROI_extract(first,last,image) Jan 16, 2018 · I am searching for a library (in any language) that is capable of reading a region of an image file (any format) without having to initially read that entire image file. The solution uses the following stages: Convert image to gray. You can use numpy. Next, we read in the image, which in this case is, Road-lanes. Jun 7, 2023 · You can use cv2. -- 2. As a recap, in the first post of this series we went through the steps to extract balls and table edges from an image of a pool table. Mar 27, 2019 · Once trained, the classifier can then locate the object of interest in any new images. Syntax: cv2. scoresdata = scores[0, 0, y] xdata0 = geometry May 3, 2021 · Kickstart Your Career. imwrite(). # Load image. py --video videos/example_01. Feb 8, 2012 · There's one on ROI as well that contains a decent blurb on the topic: OpenCV Region of Interest (ROI) Essentially, you're right about what's going on. # Calculate the XY of top left corner of ROI. hows. The open-source OpenCV library, known for its comprehensive set of tools for computer vision, provides robust solutions to the detection of moving objects. See understanding contour hierarchies: how to distinguish between contours for the full explanation. We can keep a counter to save each ROI then save it with cv2. show_1_image_pylab(region) I can't figure it out how to do it in color. COLOR_BGR2GRAY) #To convert to 2D grayscale. Step 1: Import Libraries. Aug 31, 2019 · Aug 31, 2019. . In this tutorial, we will learn how to select a bounding box or a rectangular region of interest (ROI) in an image in OpenCV. ROI có thể ở bất cứ hình dạng nào, có thể là hình vuông, hình chữ nhật, hình tròn, nhiều vùng nhỏ trên ảnh hoặc thậm chí là các pixel trên ảnh. Nov 4, 2022 · I want to extract each sticker 5x6 and to total 30 sticker like below , how do I do so (expect pic ) I wish to cut image like small pieces - Album on Imgur (original picture) (Python , OpenCV) Extract picture from picture - Album on Imgur following the suggestion: The black pixels along the top are a distraction, so are the black pixels of the QR codes. I want to add in my code a function that will process only the define region of interest of a video file. height: 145/32 = ~4. Python Program. pad() (docs) or cv2. From there, open up a terminal, and execute the following command: $ python localize_text_tesseract. Apr 12, 2018 · Note: The x, y, x+w and y+h give you the extents of the box , so with that those values you can get the region of interest for the largest blob. Jan 18, 2017 · I am developing commercial software for reading images and finding region of interest by passing top left corner coordinates and bottom right coordinates of rectangle then crop the image. jpg') # Convert to grayscale. that is central rectangular table which you can see in the image. com/askitlouder/Image-Processing-TutorialsSub Oct 27, 2014 · Fills the holes inside a segment; and finally, invokes cv::HoughCircles() to detect the circular shape. class staticROI(object): def __init__(self): self. if event == cv2. u = d x d t; v = d y d t. You switched accounts on another tab or window. Anytime a mouse click event is triggered, OpenCV will relay the information to our extract_coordinates callback The following code would be helpful for cropping the images and get them in a white background. Hope this helps! Share To clarify, everything but a small rectangular subset of the image (defined with a separate image) should be black. Anyway, here's the C++ sample code for that magic: // Load input image. We need to mask the hand for avoiding "false circles" on the hand. ¶. To subsequently resize the square images to a Feb 6, 2020 · From now we’re going to focus only on one of them: Our RoI target. imread(image) In that case, somewhere in your code, you can specify a region this way: That will get the ROI once you specify the values, of course, not using 'x' or 'y', where h is the height and w is the width. Hi to all, This is my first time posting here and hoping for a positive result since my research is near its conclusion. Detecting balls Dec 27, 2021 · Using OpenCV4Android, how to create an ROI (Region-Of-Interest or a submat) from a contour? 0. imread("dat Jul 24, 2017 · From there, execute the following script: $ python bank_check_ocr. , extracting and then analyzing brain data from a subset of voxels rather than whole brain images. gray=cv2. Sep 3, 2020 · The following script uses OpenCV in Python to allow the selection of a square region of interest (ROI) from an image. Aug 9, 2022 · A region of interest (often abbreviated ROI), are samples within a data set identified for a particular purpose. Jul 29, 2021 · I'm new to image processing and computer vision, I have the above book cover with extra masked region (956 x 712), I need an assistance to get the below image(407 X 569) using opencv. In this example, two matrices have been declared at the beginning. Here's the result. python + opencv: how to extract a ROI of unknown shape and analyse By detecting contours, we can outline and extract regions of interest. May 14, 2024 · OpenCV Python Tutorial: OpenCV (Open Source Computer Vision Library) is an open source software library for computer vision. Storyboard: Im making a program that will make the pedestrians and vehicles look that they are not in the Aug 31, 2019 · Extracted only the region of interest using OpenCV (image source author) Now the remaining task is to extract the individual balls and identify the inner edges of the table. Images are: Below code is updated in template matching link: Below code is for finding rectangle and cropping: print imagePath. e. array(indexes). maskimage2 = cv2. g. Here's a working example: Input image: Detected ROIs to extract highlighted in green. # load the image. Use the bounding rectangle to extract just Jul 7, 2015 · I want to perform operation on the region of my interest. Numpy has a lot more options, but most of the Jul 8, 2019 · Code. shape, dtype=np. zeros_like(image) cv2. Parameters. In this tutorial, you will use a pre-trained Haar Cascade model from OpenCV and Python to detect and extract faces from an image. Please help me to select a region of interest in live video similar to the one in the image. tech/p/recommended. Here's an example of how to perform contour detection using OpenCV: import cv2. imread("somepath. copyMakeBorder() (docs) and shift the indices you want to select depending on the size of your padding. Last Updated : 03 Jan, 2023. img = cv2. ones(image. fill(255) Feb 18, 2011 · 7. For example, in medical imaging, the boundaries of a tumor may be defined on an image or in a volume, for the purpose of measuring its size. The function rectangle draws a rectangle outline or a filled rectangle. I found solution. findContours you can use cv2. Feb 23, 2019 · I tried to store the multiple image subsections in a list but I could not do it. Jul 23, 2020 · An example would be: frame=cv2. I do not want to merely crop the image; I want to extract the exact region from it. However, this, of course, only works with a greyscale image. May 25, 2020 · We are now ready to perform text detection and localization with Tesseract! Make sure you use the “Downloads” section of this tutorial to download the source code and example image. Image Alignment. OpenCV Documentation: – The official documentation for OpenCV provides in-depth information about the library, including functions and usage. You are only interested in the white Dec 9, 2018 · Typically you pad the image first, via np. To get the coordinates, you could do it like this: pixels_in_roi = [ (i_x,i_y) for i_x, col in enumerate (mask) for i_y, val in enumerate (col) if val == (100,0,100)] There are faster ways to do it. r = cv2. I have successfully detected the text regions but could not extract it. Use cv2. -> reset shape on selection. --reference micr_e13b_reference. copyTo(img(Rect(x_point, y_point, width, height))); } I use histogram for illumination images but I wanted to use it only Dec 1, 2017 · I can't extract the detected regions by MSER in this image: What I want to do is to save the green bounded areas. We then import numpy as np, because we need this to black out the areas that are not in our region of interest. def downloadImage(URL): 5 days ago · f x u + f y v + f t = 0. Extract entity values using OCR. SubElement(results, "Image") path = eTree. import matplotlib. This is how the ROI in OpenCV works. jpg. Jan 17, 2018 · How can I crop a concave polygon from an image. subImage=Image[ miny:maxy, minx:maxx ] Here you can draw a rectangle over the image, to get it cropped. Nothing else. jr en qi az yg fx pf ua jp hd