import cv2. The cv2 is a cross-platform library designed to solve all computer vision-related problems. Callback function defined to be called every frame. /Filter /FlateDecode The function sets the maximum position of the specified trackbar in the specified window. If you want to destroy any specific window, use the function cv2.destroyWindow() where you pass the exact window name as the argument. Second argument is a flag which specifies the way image should be read. Creates a trackbar and attaches it to the specified window. =a?kLy6F/7}][HSick^90jYVH^v}0rL _/CkBnyWTHkuq{s\"p]Ku/A )`JbD>`2$`TY'`(ZqBJ at (x, y) to red when the mouse button is pressed. cv2.VideoCapture() captures the live feed from webcam.cap.read() will read the feed frame by frame and imshow displays the output.this happens repeated beacuse of the while loop.and if 'q' is pressed..then the loop stops..and finally if the camera stops cap.release() closes the window and cv2.destroyAllWindows does the job of killing the program First argument is a window name which is a string. To the left are reddish pixels, to the right are blueish pixels. Syntax to define filter2D () function in python is as follows: resulting_image = cv2.filter2D (src, ddepth, kernel) src: The source image on which to apply the fitler. The window itself adjusts to the size of . It can also be set to detect specific key strokes like, if key a is pressed etc which we will discuss below. 1.1.4.2. Allows users to select a ROI on the given image. The supported flags are: (, windowName, img[, showCrosshair[, fromCenter]]. This is the fonction: The overlay text is white on black background, centered and can be displayed This function should be prototyped as void Foo(int,void*); , where the first parameter is the trackbar position and the second parameter is the user data (see the next parameter). To resize an image, scale it along each axis (height and width), considering the specified scale factors or just set the desired height and width. If the callback is the NULL pointer, no callbacks are called, but only value is updated. Next We use it to extract the area containing the face. The function may scale the image, depending on its depth: If window was created with OpenGL support, cv::imshow also support ogl::Buffer , ogl::Texture2D and cuda::GpuMat as input. In opposite case a corner of selection rectangle will correspont to the initial mouse position. >> It is important to keep in mind the original aspect ratio of the image (i.e. Typedef Documentation . That is, the value range [0,255*256] is mapped to [0,255]. ?^B\jUP{xL^U}9pQq0O}c}3t}!VOu If the image is 32-bit or 64-bit floating-point, the pixel values are multiplied by 255. Introduction. Upon creation, the slider position is defined by this variable. A screenshot of the window will look like this (in Fedora-Gnome machine): cv2.waitKey() is a keyboard binding function. The function waitKey waits for a key event infinitely (when \(\texttt{delay}\leq 0\) ) or for delay milliseconds, when it is positive. It returns the code of the pressed key or -1 if no key was pressed before the specified time had elapsed. [Qt Backend Only] winname can be empty (or NULL) if the trackbar is attached to the control panel. The cv2.flip method requires two arguments: the image we want to flip and a specific code/flag used to determine how we flip the image. The supported operation flags are: (, New value of the window property. For example: cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml") Read OpenCV documentation. Created windows are referred to by their names. We can make a simple drawing program. the flag is set to 1. You can create as many windows as you wish, but with different window names. name of the window where selection process will be shown. cv2.imshow('image',img) cv2.waitKey(0) cv2.destroyAllWindows() A screenshot of the window will look like this (in Fedora-Gnome machine): cv2.waitKey () is a keyboard binding function. While OpenCV was designed for use in full-scale applications and can be used within functionally rich UI frameworks (such as Qt*, WinForms*, or Cocoa*) or without any UI at all, sometimes there it is required to try functionality quickly and visualize the results. import numpy as np import cv2 Step 2: Examples on cv2.imshow() method. For cv::EVENT_MOUSEWHEEL positive and negative values mean forward and backward scrolling, respectively. % The first argument is the title of the window and the second argument is the cv::Mat object that will be shown.. Because we want our window to be displayed until the user presses a key (otherwise the program would end far too quickly), we use the cv::waitKey function whose only parameter is just how long should it wait for a . The function sets the position of the specified trackbar in the specified window. The Window class stores window name and image and shows the image in a window. The optional parameter passed to the callback. Then we load an image from the current folder with the function cv.imread Name of the window in the window caption that may be used as a window identifier. Even if the image path is wrong, it wont throw any error, but print img will give you None. Revision be6c1da8. Simple thresholding. Just use imwrite(file, img) To change the image to a grayscale image use this function: To capture video we must create a VideoCapture object. 1.1.4.1. Otherwise, the image is scaled to fit the window. The function destroyAllWindows destroys all of the opened HighGUI windows. Learn how to setup OpenCV-Python on your computer! The function destroyWindow destroys the window with the given name. First of all, std::vector, cv::Mat, and other data structures used by the functions and methods have destructors that deallocate the underlying memory buffers when needed. First we import the OpenCV library cv2 and give it the shortcut cv. cv2.IMREAD_COLOR : Loads a color image. If the window was created with the cv::WINDOW_AUTOSIZE flag, the image is shown with its original size, however it is still limited by the screen resolution. Clicking the label of each trackbar enables editing the trackbar values manually. For BGR image, it returns an array of Blue, Green, Red values. Resizes the window to the specified size. This sub-region is then inserted elsewhere in the image. see cv::setMouseCallback. you can use "import matplotlib.pyplot as plt". It goes from 0 to 255 and we set the initial value to 100. The function waits for specified milliseconds for any keyboard event. [Qt Backend Only] winname can be empty (or NULL) if the trackbar should be attached to the control panel. Add a Grepper Answer . Instead of these three flags, you can simply pass integers 1, 0 or -1 respectively. This is an overloaded member function, provided for convenience. # skeletonize the image gray = cv2.cvtColor(logo, cv2.COLOR_BGR2GRAY) skeleton = imutils.skeletonize(gray, size=(3, 3)) cv2.imshow("Skeleton", skeleton) Output: Displaying with Matplotlib. If the image is 16-bit unsigned or 32-bit integer, the pixels are divided by 256. In this section, the color image is split and plotted into R, G and B color. In that case, you can specify whether window is resizable or not. instead of cv2.imshow () use "plt.imshow ()" waitKey () ). Then we reset the image array with the new color value. with a dimension of (100, 600). This method can enhance or remove certain features of an image to create a new image. OpenCV automatically converts to the desired format. It shows also the RGB color values at the mouse position (currently at R=41, G=29, B=95). The run method prints the key code and the key character. This is an image with a red outline drawn with the mouse. In this section you will learn different image processing functions inside OpenCV. The function may scale the image, depending on its depth: Also, these R, G and B are merged together to get the original image. Specifying a flip code of 0 indicates that we want to flip the image vertically, around the x -axis: if true center of selection will match initial mouse position. In this section you will learn object detection techniques like face detection etc. OpenCV-Python is a library of Python bindings designed to solve computer vision problems. Maximal position of the slider. (ex; ) 1 #-*- coding:utf-8 -*-2 importcv2 3 importnumpyasnp 4 5 drawing=False #Mouse 6 mode=True # True . Matplotlib is a plotting library for Python which gives you wide variety of plotting methods. Use the function cv2.imwrite() to save an image. For every pixel, the same threshold is applaied. First argument is the file name, second argument is the image you want to save. Inside the trackbar callback function rgb we get the 3 trackbar positions OpenCV is a library for image processing. Controls: use space or enter to finish selection, use key c to cancel selection (function will return the zero cv::Rect). The function only works if there is at least one HighGUI window created and the window is active. It is the default flag. Come, let's learn about image resizing with OpenCV. The loop finishes when q is pressed: At the end the video stream is relased and all windows are closed: An overlay can be added to a window to add a line of text during a certain time delay. The function getWindowProperty returns properties of a window. endobj Revision c69bb2a6. Then we reset the image array with the new color value. It's nearly impossible to work with. cv2.IMREAD_GRAYSCALE : Loads image in grayscale mode, cv2.IMREAD_UNCHANGED : Loads image as such including alpha channel, There is some problem when you try to load color image in OpenCV and display it in Matplotlib. Some high-precision mice with higher-resolution freely-rotating wheels may generate smaller values. Here, you will learn how to read an image, how to display it and how to save it back, Optionally, you will learn how to display images with Matplotlib. The command: specifies the rectangle with y values from 250 to 300 and x values from 50 to 500. a proper solution requires IPython calls. It is a matrix that represents the image in pixel intensity values. second argument is our image. xmUMo0WxNWH q9M8%CMq.5ShrAI\S]8`Y71Oyezl,dmYSSJf-1i:C&e c4R$D& The slice operator (:) allows to address rectangular areas of a Numpy array. First we use the Numpy zero () function to create a black image with a dimension of (100, 600). User data that is passed as is to the callback. If you are using a 64-bit machine, you will have to modify k = cv2.waitKey(0) line as follows : k = cv2.waitKey(0) & 0xFF. If you need to show an image that is bigger than the screen resolution, you will need to call namedWindow("", WINDOW_NORMAL) before the imshow. Any transparency of image will be neglected. Callback function for mouse events. Similar to waitKey, but returns full key code. The index 0 refers to the default camera (built-in webcam): Inside a loop we read the video capture to get frames. Optional pointer to an integer variable whose value reflects the position of the slider. Changes parameters of a window dynamically. [Windows Backend Only] Pressing Ctrl+S will show a dialog to save the image. Moves the window to the specified position. Then, the image is shown using a call to the cv::imshow function. Flags of the window. Using matplotlib_imshow for images read by cv2. The function creates a window and allows users to select multiple ROIs using the mouse. stream For cv::EVENT_MOUSEHWHEEL, where available, positive and negative values mean right and left scrolling, respectively. current state of the button. We then operate on the frame (convert to grayscale), then display the result, In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc. )K%553hlwB60a G+LgcW crn This will save the image in PNG format in the working directory. The function createTrackbar creates a trackbar (a slider or range control) with the specified name and range, assigns a variable value to be a position synchronized with the trackbar and specifies the callback function onChange to be called on the trackbar position change. In this section you will learn different computational photography techniques like image denoising etc. Name of the window that will be used as a parent of the created trackbar. In this section you will learn different techniques to work with videos like object tracking etc. width by height), if you want to maintain the same in the resized . Window property to retrieve. This is what the HighGUI module has been designed for. Inside the trackbar callback function rgb we get the 3 trackbar positions with the red, green and blue color components which can vary from 0 to 255. If the pixel is smaller then the threshold, it is set to 0, otherwise it is set to the maximum. OpenCV uses the BGR order. &+bLaj by+bYBg YJYYrbx(rGT`F+L,C9?d+11T_~+Cg!o!_??/?Y the question is: how to repeatedly show images, and have them be displayed successively, in the same place, in a colab notebook. The following operation flags are available: (. OpenCV-Python is a library of Python bindings designed to solve computer vision problems. [Windows Backend Only] Pressing Ctrl+C will copy the image to the clipboard. Its argument is the time in milliseconds. Copyright 2016, eastWillow. When the trackbar is moved, it calls a callback function named trackbar: The callback function trackbar displays the trackbar position in the overlay It is done with the function cv2.namedWindow(). Notice: OpenCV uses the color ordering BGR, so you must specify the red component last. Sets mouse handler for the specified window. They are the colored dots that compose an image. The function may scale the image, depending on . Otherwise, the image is scaled to fit the window. import cv2. See OpenCV samples on how to specify and use the callback. 29 0 obj << In images, the pixel coordinates starts from (0, 0). Clicking the window close button closes the window, but does not quit the program. Callback function for mouse events. and then loop back. >>> import cv2 as cv. and supply the file name with a recognized image format extension (.jpg, .png, .tiff). Since the OS has a minimum time between switching threads, the function will not wait exactly delay ms, it will wait at least delay ms, depending on what else is running on your computer at that time. But if you specify flag to be cv2.WINDOW_NORMAL, you can resize window. 390), 255, -1) cv2.imshow("Mask", mask) # display the masked region masked = cv2.bitwise_and(image, image, mask=mask) cv2.imshow("Applying the Mask", masked) # compute a histogram for our image, but we'll only include . Then use the imshow() method to display the image. The image below shows the red channel of the blob. It sets these pixels to green. The number of pixels used to render an image is set by the Axes size and the dpi of the figure. xmT0+$$0 if true crosshair of selection rectangle will be shown. altered_size = cv2.resize (pic, new_dimension, interpolation=cv2.INTER_AREA) cv2.imshow ("Altered Image", altered_size) Variable 'altered_size' resizes the image using cv2.resize () function, the interpolation method used here is 'cv2.INTER_AREA', which is basically used to shrink images. If you zoom into an image you can see squares of uniform color. The function setWindowProperty enables changing properties of a window. The function imshow displays an image in the specified window. You can zoom images, save it etc using Matplotlib. The window automatically fits to the image size. It has the following parameters: the image to transform; the scale factor (1/255 to scale the pixel values to [0..1]); the size, here a 416x416 square image; the mean value (default=0); the option swapBR=True (since OpenCV uses BGR); A blob is a 4D numpy array object (images, channels, width, height). Let's load a color image first: >>> import numpy as np. After closing the window, a key press has no effect anymore and the only way to quit the program is by It will be helpful when image is too large in dimension and adding track bar to windows. For a multichannel image of floats, the max of the image is computed and . If the window was created with the cv::WINDOW_AUTOSIZE flag, the image is shown with its original size, however it is still limited by the screen resolution. Once a key is pressed, the program advances to the last line and destroys all windows. In this section we will learn about camera calibration, stereo imaging etc. second argument is our image. image: It is the image that is to be displayed. miliseconds the function waits for a keypress. [B, G, R] format is used in OpenCV. Z&T~3 zy87?nkNeh=77U\;? If 0 is passed, it waits indefinitely for a key stroke. If there are several HighGUI windows, any of them can be active. If the window was not created before this function, it is assumed creating a window with cv::WINDOW_AUTOSIZE. The value 120 corresponds to a one notch rotation of the wheel or the threshold for action to be taken and one such action should occur for each delta. Accessing and modifying pixel . cv2_plt_imshow. Color image loaded by OpenCV is in BGR mode. Key code is implementation specific and depends on used backend: QT/GTK/Win32/etc, Flags related creating and manipulating HighGUI windows and mouse events, samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp, samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp, samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp, samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp, samples/cpp/tutorial_code/features2D/Homography/homography_from_camera_displacement.cpp, samples/cpp/tutorial_code/features2D/Homography/pose_from_homography.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp, samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp, samples/cpp/tutorial_code/ImgProc/Pyramids/Pyramids.cpp, samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp, samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp, samples/cpp/tutorial_code/ImgTrans/houghcircles.cpp, samples/cpp/tutorial_code/ImgTrans/houghlines.cpp, samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp, samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp, samples/cpp/tutorial_code/photo/non_photorealistic_rendering/npr_demo.cpp, samples/cpp/tutorial_code/photo/seamless_cloning/cloning_demo.cpp, Callback function for a button created by, Callback function defined to be called every frame. The function cv2 imshow () is used to add an image in the window. The input may either be actual RGB (A) data, or 2D scalar data, which will be rendered as a pseudocolor image. current position of the specified trackbar. """, The x coordinate increases from left to right, The y coordinate increases from top to bottom. With a value of 0 the function waits indefinitely. If a window with the same name already exists, the function does nothing. Some, we will see on the way. Create and manipulate windows that can display images and "remember" their content (no need to handle repaint events from OS). Pointer to the function to be called every time the slider changes position. Use the function cv2.imread() to read an image. zmin ( scalar or iterable, optional) - zmin and zmax define the scalar range that the colormap covers. For example, Python IDE just blocks our . which gives you the size of the image. typedef void(* cv::MouseCallback) (int event, int x, int y, int flags, void *userdata), typedef void(* cv::OpenGlDrawCallback) (void *userdata), typedef void(* cv::TrackbarCallback) (int pos, void *userdata). We will look at its application and work later in this article. Below program loads an image in grayscale, displays it, save the image if you press s and exit, or simply exit without saving if you press ESC key. The image should be in the working directory or a full path of image should be given. The function returns the current position of the specified trackbar. The setMouseCallback function attaches a mouse callback function to the image window: Now we can use the mouse to change the pixel color at the mouse position. Read. Split and Merge . Segmentaion . %PDF-1.5 Here, you will learn how to display image with Matplotlib. The created trackbar is displayed in the specified window winname. Add trackbars to the windows, handle simple mouse events as well as keyboard commands. Here you will learn how to display and save images and videos, control mouse events and create trackbar. The function imshow displays an image in the specified window. Displays an image in the specified window. You can call cv::destroyWindow or cv::destroyAllWindows to close the window and de-allocate any associated memory usage. In this section we look at the basic operations for displaying images in a window Accessing and Modifying pixel values. Window property to edit. Go ahead and match the arguments of the cv2.calcHist call with the function documentation in the "Using OpenCV to compute . :v==onU;O^uu#O When the mouse button is pressed, The last two lines instantiate the app with App() and call the run() method: These are the patterns for reading, displaying and saving images: Copyright 2019, Raphael Holzer Example 1: Displaying Black Image using cv2 imshow() In this example Firstly, I will make a black image using the NumPy array. Saving an image is very simple. It can be used to handle trackbar events without using global variables. Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using %matplotlib inline magic. Be careful to use the right order. region on getTrackbarPosof the window: The function cv.imshow is used to force an update of the window. The window automatically fits the image size. and display it with the function cv.imshow in a window called window. by opening a file and displaying it in a window. To accomplish this, you can use the cv2.destroyAllWindows() functionality. By default, zmin and zmax correspond to the min and max values of the datatype for integer datatypes (ie [0-255] for uint8 images, [0, 65535] for uint16 images, etc.). The function getWindowImageRect returns the client screen coordinates, width and height of the image rendering area. When a q is pressed the program quits. See cv::setOpenGlDrawCallback. 1.1.4.3. 0 is the special value that means "forever". Name of the window that is the parent of trackbar. We found that a-cv2-imshow-thread demonstrates a positive version release cadence with at least one new version released in the past 3 months. Using a flip code value of 1 indicates that we flipped the image horizontally, around the y -axis. Provides rectangle of image in the window. But Matplotlib displays in RGB mode. In this section, we will see how OpenCV-Python bindings are generated. The status line shows the mouse position (currently at x=470, y=308). We can use three trackbars for composing a color. Otherwise, the image is scaled to fit the window. There is a special case where you can already create a window and load image to it later. First we use the Numpy zero() function to create a black image For displaying a grayscale image set up the colormapping using the parameters cmap='gray', vmin=0, vmax=255. Delay in milliseconds. >> This means that the destructors do not always deallocate the buffers as in case of Mat. A screen-shot of the window will look like this : Plenty of plotting options are available in Matplotlib. Use the mouse wheel and try to zoom into an OpenCV image. Move the mouse to explore the coordinate system. Images are made of pixels. OpenCV handles all the memory automatically. cv2.destroyAllWindows() #close the image window Since you probably don't want your screen to close immediately, you can . cv2.data.haarcascades can be used as a shortcut to the data folder. See, Gets the mouse-wheel motion delta, when handling mouse-wheel events, typedef void(* cv::ButtonCallback) (int state, void *userdata). The window automatically fits the image size. We use an if statement to set the current pixel with the red, green and blue color components which can vary from 0 to 255. We define an App class which loads an image and creates a window. All packages contain Haar cascade files. Further analysis of the maintenance status of a-cv2-imshow-thread based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable. 8. Please see the exercises for more details. Toolbars are not counted. Use the function cv2.imshow() to display an image in a window. Answers related to "cv2.imshow documentation" cv2.imwrite; cv2 show image; cv2 load image; cv2_imshow colab; python cv2 imwrite. From now on we will use object-oriented programming (OOP) techniques. That is, the value range [0,1] is mapped to [0,255]. First argument is a window name which is a string. /Length 843 The parameter of this function is the number of # When everything done, release the capture, """Catch mouse events and write to statusbar. By default, the flag is cv2.WINDOW_AUTOSIZE. choosing Quit from the (Python) menu, or by pressing the shortcut cmd+Q. 1 0 obj << In this section you will learn about feature detectors and descriptors. For regular mice with a scroll-wheel, delta will be a multiple of 120. It could be -1 for a push button, 0 or 1 for a check/radio box button. /Length 586 Python 3.7.4. of the currently given three answers, one just repeats to use cv2_imshow given by colab, which OP already knows, and the other two just embed video files in the HTML, which wasn't the question. A trackbar is a slider added at the bottom of the window. and reacting to mouse and keyboard events. The minimal position is always 0. You will see them in coming articles. Callback function for Trackbar see cv::createTrackbar. Below are the examples to implement the imshow() method. The function takes the following arguments: The createTrackbar command adds a trackbar below the main image. Before opening a new issue, read the FAQ below and have a look at the other issues which are already . The function sets the minimum position of the specified trackbar in the specified window. So color images will not be displayed correctly in Matplotlib if image is read with OpenCV. Syntax: cv2.imshow(window_name, image) Parameters: window_name: A string representing the name of the window in which image to be displayed. cv2.imshow method is used to display an image in a window. You can create as many windows as you wish, but with different window names. cv2.destroyAllWindows() simply destroys all the windows we created. on multiple lines: The following program adds the following information: Such an array has the attribute shape which returns the array dimensions. Please refer to Matplotlib docs for more details. The function imshow displays an image in the specified window. Without calling the cv.waitKey() no window is displayed. The origine (0, 0) is at the top left position. It differs from the above function only in what argument(s) it accepts. In the Python bindings of OpenCV, images are represented as NumPy arrays in BGR order. The function namedWindow creates a window that can be used as a placeholder for images and trackbars. Name of the window that is the parent of the trackbar. Visual Studio Code (VSCode) September 2019 release (1.39.2) is causing the system to hang and use up tons of CPU in the Python process. We start this tutorial OpenCV 4.1.1. endstream Controls: use space or enter to finish current selection and start a new one, use esc to terminate multiple ROI selection process. OpenCV Python Documentation, Release 0.1 12 cv2.setMouseCallback('image', draw_circle) 13 14 while(1): 15 cv2.imshow('image', img) 16 if cv2.waitKey(0)&0xFF==27: 17 break 18 19 cv2.destroyAllWindows() 4.4Advanced Demo Demo. Example #1. If the image is 8-bit unsigned, it is displayed as is. But first, let us try to get an overview of the function through its definition. This function is the only method in HighGUI that can fetch and handle events, so it needs to be called periodically for normal event processing unless HighGUI is used within an environment that takes care of event processing. Callback function for a button created by cv::createButton. The function creates a window and allows users to select a ROI using the mouse. Mouse-wheel events are currently supported only on Windows. So, at last, we got our image scaled perfectly . If you press any key in that time, the program continues. This works fine when using the cv2.imshow function. In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc. The specified window size is for the image area. cv2.imshow() method is used to display an image in a window. a#A%jDfc;ZMfG} q]/mo0Z^x]fkn{E+{*ypg6;5PVpH8$hm*zR:")3qXysO'H)-"}[. One of the major issue faced while using cv2, especially when you are using jupyter-notebooks, is to perform cv2.imshow the kernel breaks. stream For a simple program, you do not really have to call these functions because all the resources and windows of the application are closed automatically by the operating system upon exit. Allows users to select multiple ROIs on the given image. >>> img = cv.imread ( 'messi5.jpg') You can access a pixel value by its row and column coordinates. If the window was created with the cv::WINDOW_AUTOSIZE flag, the image is shown with its original size, however it is still limited by the screen resolution. Gets the mouse-wheel motion delta, when handling mouse-wheel events cv::EVENT_MOUSEWHEEL and cv::EVENT_MOUSEHWHEEL. OpenCV program in python to demonstrate imshow () function to read an image using imread () function and then display the same image using imshow () function by creating a window and specifying the name for the window and display it as the output on the screen: #importing the module cv2. 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