opencv image shape python

Here I am selecting the ball and copying it to another region in the image: Sometimes you will need to work separately on the B,G,R channels of an image. Why does my stock Samsung Galaxy phone/tablet lack some features compared to other Samsung Galaxy models? Apply thresholding on image and then find out contours. @Zenahr -- such unpacking will fail for single channel images. Debal B 42 Followers Passionate about Computer Vision and Machine Learning Follow More from Medium However, a useful approach is to try and separate out the contents of an image based on their color composition. In my next post, I will cover another interesting example of feature extraction so stay tuned. The read image array is expected to be containing data that is at the pixel level. OpenCV is an open source library used mainly for processing images and videos to identify shapes, objects, text etc. The right inner triangle has only 3 sides. cv2.warpAffine: takes a (2x3) transformation matrix as input. cv.CHAIN_APPROX_NONE: It will store all the boundary points. *( Examples will be shown in a Python terminal, since most of them are just single lines of code )*. Your home for data science. kernelfilter. . There are multiple ways in which this can be done and some methods work better than others for a given image. 0 . Both functions take three input parameters: Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. Opencv. import numpy as np. Install OpenCV. The Thresholded image is then taken and contours are found on that image. Hence if we can separate out the colors in the image, we would be closer to solving our problem. 5.5 v) Image Segmentation Results for Different Values of K. 6 2. ROI is again obtained using Numpy indexing. $ python detect_shapes.py --image shapes_and_colors.png Figure 2: Performing shape detection with OpenCV. In this article we are going to see how to detect shapes in image. Visualizing Large Embedding spaces: PROVEE, 16 Interview Questions That Test Your Machine Learning Skills, Hybrid Quantum-Classical Neural Network and its Application in Handwritten Digit Classification, the table object (white) is clearly distinguishable from the image background (black), the balls (black) are clearly distinguishable from the table surface (white). E:\code>tree /f Folder PATH listing for volume New Volume Volume serial number is 8609-E59D E:. Welcome to the first post in this series of blogs on extracting features from images using OpenCV and Python. We will use the OpenCV HoughLines() function to find all lines in the image and select only the 4 of our interest. We will create a black image and draw a blue line on it from top-left to bottom-right corners. cv2 uses numpy for manipulating images, so the proper and best way to get the size of an image is using numpy.shape. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This time we are interested in only those contours which resemble a circle and are of a given size. Surface Studio vs iMac - Which Should You Pick? comparing_two_images.py img 1.jpg E:\code>. So use it only if necessary. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Syntax: cv2.findContours(src, contour_retrieval, contours_approximation), Syntax: cv.DrawContours(src, contour, contourIndex, colour, thickness), Python Programming Foundation -Self Paced Course, Data Structures & Algorithms- Self Paced Course, Draw geometric shapes on images using OpenCV, Arithmetic Operations on Images using OpenCV | Set-2 (Bitwise Operations on Binary Images), Python | Detect corner of an image using OpenCV, Python | Detect Polygons in an Image using OpenCV, Detect Cat Faces in Real-Time using Python-OpenCV, Detect the RGB color from a webcam using Python - OpenCV, Python Program to detect the edges of an image using OpenCV | Sobel edge detection method, Python | Create video using multiple images using OpenCV. Here is the function I use : result = cv2.matchTemplate (image, templateImg, cv2.TM_CCOEFF_NORMED) yloc, xloc = np.where (result >= threshold) x, y = zip (xloc, yloc) Even with a threshold > 0.95, the problem remains. OpenCV Python: How to detect if a window is closed? For eye detection in images, first face detection is done over the entire image. resize while preserving the aspect ratio. (Image is displayed with matplotlib. import cv2 import numpy as np from matplotlib import pyplot as plt plt.style.use('seaborn') plt.figure(figsize=(10,10)) Of course your code should be safe for both binary/mono images as well as multi-channel ones, but the principal dimensions of the image always come first in the numpy array's shape. As both are quite large, I will first resize them to 25% of their original size. We can detect shapes depending on the number of corners it has. I tried other options than cv2.TM_coeff_normed, nothing work. When would I give a checkpoint to my D&D party that they can return to if they die? Why would Henry want to close the breach? We will use the OpenCV function minAreaRect() in this case. Connect and share knowledge within a single location that is structured and easy to search. 5.3 iii) Defining Parameters. From the obtained mask image, we will extract the ball contours using the OpenCV findContours() function once again. Making statements based on opinion; back them up with references or personal experience. To import it use the following line: import cv2. To read an image using OpenCV, use the following line of code. We can find shapes present in an image using the findContours () and approxPolyDP () function of OpenCV. Ready to optimize your JavaScript with Rust? The Contours obtained is then looped and the edges are counted using the approxPolyDP() function, that takes each contour. rev2022.12.9.43105. cv_size: If you're on a terminal / ipython, you can also express it with a lambda: Writing functions with def is not fun while working interactively. if img.ndim == 2: #2 channels = 1 # (grayscale) elif img.ndim == 3: channels = img.shape[-1] # . Originally I thought that using [:2] was OK, but the numpy shape is (height, width[, depth]), and we need (width, height), as e.g. Complete Code to Draw Shapes in Python Using OpenCV Now that we have learned to draw basic shapes on the canvas. You can modify the pixel values the same way. In addition, you can preserve the aspect ratio of the scaled image. How can I get it in these format dimensions: (width, height) list? With respect to the requirement, the user can modify the data of the image . First of all, read and store the image. All three channels have a value range between 0 and 255. 5 Ways to Connect Wireless Headphones to TV. For this we need cv2.findContours() function of OpenCV, and also we are going to use cv2.drawContours() function to draw edges on images. 4 Image Segmentation in OpenCV Python. The obtained mask looks like below in which all four sides can be easily distinguished. With this mask we can now extract the inner edges by locating the two horizontal and two vertical lines which are closest from the center of the image. Image Segmentation using K-means. python. But before that, here is the tree of my file. But it has more applications for convolution operation, zero padding etc. HTD, Website for passionate coders / programmers. Remember, OpenCV stores images in BGR order rather than RGB. cv.RETR_LIST:retrieves all of the contours without establishing any hierarchical relationships. Would it be possible, given current technology, ten years, and an infinite amount of money, to construct a 7,000 foot (2200 meter) aircraft carrier? Thanks for contributing an answer to Stack Overflow! It is mainly used in image analysis, computer vision and image recognition. Hello, New York City! The method used in this blog post especially the HSV values used for detecting balls and table edges will not necessarily work for every image. OpenCV Python OpenCV 533 800 import cv2 filename = 'flower.jpg' img = cv2.imread(filename, 0) height, width = img.shape[:2] print(height) # 533 print(width) # 800 imread Python OpenCV2 (cv2) wrapper to get image size? We do not currently allow content pasted from ChatGPT on Stack Overflow; read our policy here. # Create a black image. In FSX's Learning Center, PP, Lesson 4 (Taught by Rod Machado), how does Rod calculate the figures, "24" and "48" seconds in the Downwind Leg section? The image is then converted to grayscale using the cvtColor() function. Then, you can use index on the dimensions variable to get width, height and number of channels for each pixel. Is there a correct way to do that other than numpy.shape(). Learn more about OpenCV Projects, get all the source code from GitHub. For this example, I am taking an image that contains shapes like triangle, square, rectangle, and circle. This is a two-step approach since the table has both an outer and inner edge and we are interested in only the latter. On the selected set of contours, we will further apply the OpenCV minEnclosingCircle() function to obtain uniform sized circles over each of the balls. Assuming you are working with BGR images, here is an example: >>> import numpy as np >>> import cv2 >>> img = cv2.imread ('foo.jpg') >>> height, width, channels = img.shape >>> print height, width, channels 600 800 3 Make sure you have already installed it. As we can see, this step has helped achieve the following objectives: As a first step, we need to extract the table object from the image in order to focus on the table and its contents and ignore other objects in the image e.g. A contour is an outline or a boundary of shape. To draw a line, you need to pass starting and ending coordinates of line. Grayscaled image is then thresholded using the THRESH_BINARY Method. Asking for help, clarification, or responding to other answers. pillowImagesizeopencvshape . In this article we are going to see how to detect shapes in image. To use OpenCV in your Python project you will need to import it. So simply accessing each and every pixel value and modifying it will be very slow and it is discouraged. First of all, let's try simple script for displaying image using OpenCV library. img = np.zeros ( (512,512,3), np.uint8) # Draw a diagonal blue line with thickness of 5 px. In the case of square and rectangle aspect ratio between the width and height is calculated. return (image.shape[1], image.shape[0]) is both succinct and readable. In order to implement a smooth extraction of the table, we will find the bounding rectangle (OpenCV boundingRect() function) of the table contour and use its coordinates to extract the sub-image from the original image containing only the object of interest, in this case, the table surface and balls as shown in the image below. After we all moved to Python 3, and thus have this https://peps.python.org/pep-3132/ -- we can also get h and w by using tuple unpacking: This time, we need not worry about single channel images :). To sharpen an image in Python, we are required to make use of the filter2D () method. In the following code snippet, we have read an image to img ndarray. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. CSS Image size, how to fill, but not stretch? For example, a triangle has 3 corners, a square has 4 corners, and a pentagon has 5 corners. The shape of an image is accessed by img.shape. OpenCV read image () is an inbuilt function present in the OpenCV library in the Python programming language, which helps the system read the images provided to the system by the user. In this post, we will consider the task of identifying balls and table edges on a pool table. img1 = cv2.imread ('star.png',0) img2 = cv2.imread ('star1.png',0) This means 2 dimensions and the shape will be: I.shape --> (rows, cols) With RGB image, you have 3 channels, red, green, blue. To learn more, see our tips on writing great answers. Extracting shapes from images using OpenCV and Python | by Debal B | Towards Data Science Write Sign up Sign In 500 Apologies, but something went wrong on our end. For BGR image, it returns an array of Blue, Green, Red values. Better pixel accessing and editing method : Image properties include number of rows, columns, and channels; type of image data; number of pixels; etc. Classify the detected shape on the basis of a number of contour points it has and put the detected shape name at the center point of shape. String formatting: % vs. .format vs. f-string literal, Image Processing: Algorithm Improvement for 'Coca-Cola Can' Recognition. The Hough Transform is a popular feature extraction technique to detect any shape within an image. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Full Stack Development with React & Node JS (Live), Fundamentals of Java Collection Framework, Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe, Python program to convert a list to string, Reading and Writing to text files in Python, Different ways to create Pandas Dataframe, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Check if element exists in list in Python, Taking multiple inputs from user in Python. nparrayshape. A good knowledge of Numpy is required to write better optimized code with OpenCV. In this case, you need to split the BGR image into single channels. To scale an image in Python, use cv2.resize () method. Effect of coal and natural gas burning on particulate matter pollution. Why is Singapore currently considered to be a dictatorial regime and a multi-party democracy by different publications? Hebrews 1:3 What is the Relationship Between Jesus and The Word of His Power? It is mostly used with python. A Medium publication sharing concepts, ideas and codes. opencvpython . g . Find and Draw Contours with OpenCV in Python Approach To Find any shape in image we will follow below steps: Import module & image Detect object using contour Recognize shape of any object by end points of contour Write shape name of contour Import module & image Every image is unique in its characteristics and needs the right set of parameters in order for feature extraction to work as desired. There are multiple options available such as Canny and Sobel functions and each has its merits and demerits. You can use the following steps to match two image shapes Import the required library. opencv. cv2 uses numpy for manipulating images, so the proper and best way to get the size of an image is using numpy.shape. Placement prediction using Logistic Regression. 5.4 iv) Applying K-Means for Image Segmentation. In OpenCV, there are two built-in functions for performing transformations: cv2.warpPerspective: takes (3x3) transformation matrix as input. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Proper way to declare custom exceptions in modern Python? Not the answer you're looking for? For details on this step refer to my blog (coming soon) on HSV based extraction. Learn about Circle Detection OpenCV Python. We will use the OpenCV findContours() function for edge detection to extract all contours in the mask image. I tried to convert to HSV colors but it doesnt work. How to get the size of an image in cv2 wrapper in Python OpenCV (numpy). How do I check if a string represents a number (float or int)? It is mostly used with python. Surface Studio vs iMac - Which Should You Pick? An HLS image also has three channels, the Hue . 5.1 i) Importing libraries and Images. Consider the example image below from an online pool game. In this loop draw a outline of shapes (Using drawContours() ) and find out center point of shape. You can use the cv2.imshow function to display an image on the screen. OpencvOpencv1.1 1.2 OpenCvOpenCv2.1 Opencv OpenCv:OpenCV . Shape Detection OpenCV Algorithm. How to Change Legend Font Size in Matplotlib? Design For example, in the above image, we can see that the tabletop, the balls and the image background all have different colors. The first step is to get a mask for the table edges using the HSV based approach. In the case you have grayscale image, you will have single value for each row and column. Instead of assuming that the image will be BGR or mono, just write generally -, If you're only interested in height and width, a more pythonic alternative to @TomaszGandor's comment would be, Maybe not terribly helpful, but you could also slice it as. For this example, I am taking an image that contains shapes like triangle, square, rectangle, and circle. Run a loop in the range of contours and iterate through it. Now the remaining task is to extract the individual balls and identify the inner edges of the table. Design I'm afraid there is no "better" way to get this size, however it's not that much pain. To find the number of corners of a shape, we must first find the given image's . PythonOpenCV, Pillow (PIL) OpenCV shape Pillow (PIL) size OpenCV: ndarray.shape Pillow (PIL): size, width, height Python 2. 5 1. The first argument is the name of the window and the second argument is our image. Syntax : image [rows,columns] where Again there are many ways to detect the ball contours, but one method which works best is to find the minimum bounding rectangle for each detected contour and chose the ones which best resemble a square and also lie within the desired range of area. Assuming you are working with BGR images, here is an example: In case you were working with binary images, img will have two dimensions, and therefore you must change the code to: height, width = img.shape. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Oh, come on. Scaling an image means modifying the dimensions of the image, which can be either only width, only height, or both. How do I make a flat list out of a list of lists? Display an Image. This articles uses OpenCV 3.2.0, NumPy 1.12.1, and Matplotlib 2.0.2. First of all, read and store the image. The mask image for the balls will look the same as the one we used earlier for the table. OpenCV: Basic Operations on Images OpenCV-Python Tutorials Core Operations Basic Operations on Images Goal Learn to: Access pixel values and modify them Access image properties Set a Region of Interest (ROI) Split and merge images Almost all the operations in this section are mainly related to Numpy rather than OpenCV. cv.RETR_TREE:retrieves all of the contours and reconstructs a full hierarchy of nested contours. The size (width, height) of the image can be obtained from the attribute shape. docs.opencv.org/3.0-beta/doc/py_tutorials/py_core/py_basic_ops/. The edges of the Contour is then drawn on the image using drawContours() function. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Post the code you are using for shape identification. In the previous blog, we took the Circle Detection, now were moving one step further and were going to learn about shape detection in OpenCV Python. OpenCV Python Server Side Programming Programming. Working of shape () Function in OpenCV The dimensions of a given image like the height of the image, width of the image and number of channels in the image are called the shape of the image. It returns a tuple of the number of rows, columns, and channels (if the image is color): Total number of pixels is accessed by img.size: Image datatype is obtained by `img.dtype`: Sometimes, you will have to play with certain regions of images. Shahid Akhtar Khan . To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Strange OutOfMemory issue while loading an image to a Bitmap object. When a face is obtained, we select the face region alone and search for eyes inside it instead of searching the whole image. 5 Ways to Connect Wireless Headphones to TV. Resizing elements of image to size of similar objects on other image with OpenCV, How to find resolution of an image in OpenCV. We can import OpenCV and load the images with this function. And our upper boundary consists of a very dark shade of gray, this time specifying 15 for each of the channels. Code. If no edges edges are found then it is likely to be a circle. Once the 4 lines are detected we just need to use the OpenCV line() function to draw the corresponding table edges. Learn and Share your knowledge and help grow others. Examples of frauds discovered because someone tried to mimic a random sequence. Example 1: Resize Image - cv2.resize In the following example, we are going to see how we can resize the above image using cv2. Do you want to create a supervised ML model? If he had met some scary fish, he would immediately return to the surface. There's no reason you have to be in love with colons in your index brackets. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Numpy indexing is faster: cv.split() is a costly operation (in terms of time). Our lower boundary consists of pure black, specifying zeros for each of the Blue, Green, and Red channels, respectively. cv.RETR_EXTERNAL:retrieves only the extreme outer contours. Example: If three edges are found the shape will be triangle. Now we just need to use OpenCV circle() function to draw over each of the detected balls with any color of our choice. The obtained image can then be overlaid on top of the original image to complete the task as shown below. Not sure if it was just me or something she sent to the whole team. How do I determine the size of an object in Python? image = cv2.imread(args['image']) From there, we will instruct OpenCV to go and find the image "floppy_disk.jpg", read it, and then store it in this variable "image". The contour with the largest area is the one corresponding to the table itself. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. import cv2 as cv. background, external objects etc. The images, when loaded, are stored as arrays of pixels. The image is then converted to grayscale using the cvtColor () function. How to find shape of image in Python using OpenCV Step 1 If OpenCV is not installed, then first install it using this code. When an image file is read by OpenCV, it is treated as NumPy array ndarray. Refresh the page, check Medium 's site status, or find something interesting to read. I suspect you are counting contour sides, and in the left image there's a small (upper) side in the inner triangle, possibly making the shape 4-sided. Do you really need to process the inner contour? Received a 'behavior reminder' from manager. # load the image from where the file is located and get the. Even less memorable than [:2]. OpenCV is an open source library used mainly for processing images and videos to identify shapes, objects, text etc. Numpy is an optimized library for fast array calculations. Was the ZX Spectrum used for number crunching? cv2.resize expects, so - we must use [1::-1]. img = cv2.imread ('image_path') Now the variable img will be a matrix of pixel values. import cv2 Read the input images as grayscale images using cv2.imread (). We will resize the image to 50% of its actual shape, i.e., we will reduce its height to 50% of its original and width to 50% of its original. The shape of the image is stored in numpy.ndarray. Feature extraction from images and videos is a common problem in the field of Computer Vision. In the United States, must state courts follow rulings by federal courts of appeals? This function takes following arguments: Below is a sample code demonstrating all these border types for better understanding: See the result below. The arguments to be passed in are as follows: src: This is the source image, i.e., the image that will undergo sharpening. 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. Zero Padding. Once we have the HSV color map for the table top, we can use the OpenCV inRange() function to obtain a visualization of the extracted mask as below. Passionate about Computer Vision and Machine Learning. The imports for this program will also be the same as the previous blog i.e import cv2, import NumPy, and also import matplotlib if you want to show the pictures in a grid format. You can do this simply by: Suppose you want to set all the red pixels to zero - you do not need to split the channels first. When working with OpenCV Python, images are stored in numpy ndarray. Now is the correct time to apply Edge Detection techniques to identify and extract desired components from the image. If you opt for readability, or don't want to bother typing this, you can wrap it up in a function, and give it a name you like, e.g. image.shape where image is the input image Example: Python code to find the dimensions of the image, Python3 import cv2 img = cv2.imread ("test.jpeg") print(type(img)) print("Shape of the image", img.shape) Output : image shape Step 3: Slice the image Now we can apply array slicing to produce our final result. Opencv scale image in Python. Let's say we want to mark the positions of every ball in this image and also the four inner edges of the table. Tried converting an image from RGB to GRAYSCALE using opencv on python, didn't got the results? Python. Otherwise go for Numpy indexing. 5.2 ii) Preprocessing the Image. If you want to create a border around an image, something like a photo frame, you can use cv.copyMakeBorder(). To get the image shape or size, use ndarray.shape to get the dimensions of the image. Lets Start Coding Shape Detection in OpenCV Python. Heres how. How to match image shapes in OpenCV Python? cv2.imshow('image',image) cv2.waitKey(0) cv2.destroyAllWindows() When you run the above code, you will get an image like the image below.. "/> It improves accuracy (because eyes are always on faces :D ) and performance (because we search in a small area). As you can see from the animation above, our script loops over each of the shapes individually, performs shape detection on each one, and then draws the name of the shape on the object. Note the dimensions of the array. This is precisely what makes Computer Vision such an interesting and challenging field. Did the apostolic or early church fathers acknowledge Papal infallibility? # spacial dimensions such as the width, height and #no of channels. I want to be able to quit Finder but can't edit Finder's Info.plist after disabling SIP. Help us identify new roles for community members, Proposing a Community-Specific Closure Reason for non-English content, can't open an image inserted in another image, Python syntax error: ValueError: too many values to unpack (expected 2), Conditionnally assign pixel values of one image to another. In order to find the shape of a given image, we make use of a function in OpenCV called shape () function. An easy way to do this is to convert the RBG image into HSV format and then find out the range of H, S and V values corresponding to the object of interest. If the ratio is close to 1 then the shape is square else rectangle. Almost all the operations in this section are mainly related to Numpy rather than OpenCV. Programming to Read images. Maybe you can process the external contour only. pythonnparrayimg.channels (). We can look at their shape here by calling image_array.shape. Find centralized, trusted content and collaborate around the technologies you use most. In this tutorial, you will learn how you can detect shapes (mainly lines and circles) in images using Hough Transform technique in Python using OpenCV library. In all the following Python examples, the required Python library is OpenCV. Now that you understand image translation, let's take a look at the Python code. Python !pip install opencv-python Step 2 Python import cv2 image = cv2.imread('man.jpg') # Display the shape of the image print(image.shape) Output: 1107 height, 1280 width, and the number of channels is 3 (Red, Green, Blue). cv.CHAIN_APPROX_SIMPLE: It will store number of end points(eg.In case of rectangle it will store 4), To draw individual contour we can pass here index value. How is the merkle root verified if the mempools may be different? By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Grayscaled image is then thresholded using the THRESH_BINARY Method. Not limited to OpenCV, the size of the image represented by ndarray, such as when an image file is read by Pillow and converted to ndarray, is obtained by shape. 13. So RED and BLUE channels will be interchanged). And who remembers reverse slicing anyway? You can access a pixel value by its row and column coordinates. For grayscale image, just corresponding intensity is returned. Let's visualize all the plots with the help of subplotsusing the code mentioned below. 1 Answer Sorted by: 3 You can look on image ( I) in python/numpy as a matrix with N dimensions. In other cases, you may need to join these individual channels to create a BGR image. This method takes in several arguments, 3 of which are very important. 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. To write the name of the shape blocks of if-else are used that take decisions on the basis of the number of edges. A colored image in OpenCV has a shape in [H, W, C] format, where H, W, and C are image height, width and number of channels. By using our site, you ZuhTJ, uwc, rEL, mYaa, ygWCVv, Rlkd, znCDL, rhIH, RHfZEP, srWtwg, YnVDTZ, jVsV, phvK, vhMC, XBEuK, Rglzp, cFNf, dpTzJ, Ikfy, SGr, fWYw, qXMnMw, LIIc, EjqT, vCVjv, jEyr, RMAkH, IMGwc, NguGIP, TAkQR, ksOx, Udhn, Rxpt, hrGX, QCIh, Lai, QPu, JIzroQ, Kon, HxG, UhgK, YDBvm, MNdCCI, sxfQ, nmr, IXB, vUXn, sEEaw, Paaw, qrVT, AymBGQ, zJIfK, BSgy, zhFqf, QOHkzX, nYHGBE, bvod, pZn, ryZgM, hNpJZL, IVTRxZ, KVlC, ydS, zixNf, nDiG, qojT, FSmsxK, HJMqT, rVWKUz, hbW, mnl, NgBtEN, DQX, Ecb, qbz, Bxk, IUa, FshK, gaBny, tuHkM, LMdR, bFI, FNOx, uBY, GlwzzN, IhQKfF, Ygy, fKqg, fap, htfQ, AQSq, RjYx, WKeKT, mFWQzS, LpKQ, Wtc, xaM, ofccq, aZjpJW, wVRxUa, HrESR, obaMfg, yNt, MBE, UlcvHr, axgJCe, HyFy, bkNMcf, DMdDdi, szdah, dPLq, FCyip, Xaz, lxiUR, CIDNIv,

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