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Problem with Opencv and Python. 0. Python For OpenCV. OpenCV 2.4.3 and Python. 0. OpenCV Python . OpenCV for Python 3.5.1. 3. OpenCV 3 Python. 2. Opencv Pythonprogram. 0. Opencv Raspberry python3. Hot Network Questions How to understand parking rules in Austria (street parking)

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12,141 topics in this forum Sort By Recently Updated Title Start Date Most Viewed Most Replies Custom Filter By All Solved Topics Unsolved Topics Prev 1 2 3 4 5 6 7 Next Page 2 of 486 _LevenshteinDistance By WarMan, February 14 1 reply 317 views AspirinJunkie February 15 Run binary 1 2 3 4 11 By trancexx, August 3, 2009 210 replies 155.5k views Damnatio February 11 AutoIt parser in AutoIt By genius257, February 8 parser ast 6 replies 524 views genius257 February 10 Ternary Operators in AutoIt By TreatJ, February 9 8 replies 357 views Werty February 9 QuickLaunch alternative for Windows 11 By dv8, January 13 4 replies 848 views hughmanic February 9 Installer for execute a3x-Files By Schnuffel, January 25 8 replies 636 views Schnuffel February 9 SoundTool Playback Devices Mute Status (Auto Unmute if Muted) By TreatJ, February 6 12 replies 426 views TreatJ February 9 GUIFrame UDF - Melba23 version - 19 May 14 1 2 3 4 8 By Melba23, September 10, 2010 142 replies 110.1k views WildByDesign February 8 _ArrayCopyRange By WarMan, February 4 _arraycopyrange array 0 replies 468 views WarMan February 4 OpenCV v4 UDF 1 2 3 4 9 By smbape, August 10, 2021 opencv 174 replies 48.5k views k_u_x February 2 RustDesk UDF By BinaryBrother, December 30, 2024 13 replies 1.7k views BinaryBrother January 26 Advanced Icon Displayer In Listview By Zohran, March 25, 2012 12 replies 5.4k views manpower January 25 Screen scraping 1 2 3 By Nine, August 20, 2021 47 replies 14.9k views BinaryBrother January 23 Smtp Mailer That Supports Html And Attachments. 1 2 3 4 39 By Jos, March 28, 2006 763 replies 442.6k views SenfoMix January 21 The Taquin Puzzle By Numeric1, January 20 0 replies 375 views Numeric1 January 20 _RunWaitEx() UDF By argumentum, January 18 runwait 0 replies 430 views argumentum January 18 Multi-Task (easily run and mange many processes) 1 2 By Gianni, January 28, 2018 multi-task 22 replies 11.3k views water January 16 Extended Message Box - New Version: 16 Feb 24 1 2 3 4 19 By Melba23, January 29, 2010 360 replies 221.6k views BinaryBrother January 15 Conway's Game of Life: A Fascinating Cellular Automaton By Numeric1, January 13 0 replies 326 views Numeric1 January 13 The GASP Game By Numeric1, January 9 7 replies 503 views orbs January 13 Round buttons By ioa747, March 28, 2024 #5: Finishing the installWe’re almost there! Just a few more things and we’ll be 100% done.For Python 2.7:Provided you finished Step #4 without error, OpenCV should now be installed in /usr/local/lib/python2.7/site-packages :$ ls -l /usr/local/lib/python2.7/site-packages/total 1636-rw-r--r-- 1 root staff 1675144 Oct 17 15:25 cv2.soNote: In some instances OpenCV can be installed in /usr/local/lib/python2.7/dist-packages (note the dist-packages rather than site-packages ). If you do not find the cv2.so bindings in site-packages , be sure to check dist-packages as well.The last step here is to sym-link the OpenCV bindings into the cv virtual environment:$ cd ~/.virtualenvs/cv/lib/python2.7/site-packages/$ ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.soFor Python 3:OpenCV should now be installed in /usr/local/lib/python3.4/site-packages :$ ls /usr/local/lib/python3.4/site-packages/cv2.cpython-34m.soFor some reason, unbeknownst to me, when compiling the Python 3 bindings the output .so file is named cv2.cpython-34m.so rather than cv2.so .Luckily, this is an easy fix. All we need to do is rename the file:$ cd /usr/local/lib/python3.4/site-packages/$ sudo mv cv2.cpython-34m.so cv2.soFollowed by sym-linking OpenCV into our cv virtual environment:$ cd ~/.virtualenvs/cv/lib/python3.4/site-packages/$ ln -s /usr/local/lib/python3.4/site-packages/cv2.so cv2.soStep #6: Verifying your OpenCV 3 installAt this point, OpenCV 3 should be installed on your Raspberry Pi running Raspbian Jessie!But before we wrap this tutorial up, let’s verify that your OpenCV installation is working by accessing the cv virtual environment and importing cv2 , the OpenCV + Python bindings:$ workon cv$ python>>> import cv2>>> cv2.__version__'3.0.0'You can see a screenshot of my terminal below, indicating that OpenCV 3 has been successfully installed:Figure 5: OpenCV 3 + Python 3 bindings have been successfully installed on my Raspberry Pi 2 running Rasbian Jessie.TroubleshootingQ. When I try to use the mkvirtualenv or workon commands, I get an error saying “command not found”.A. Go back to Step #3 and ensure your ~/.profile file has been updated properly. Once you have updated it, be sure to run source ~/.profile to reload it.Q. After I reboot/logout/open up a new terminal, I cannot run the mkvirtualenv or workon commands.A. Anytime you reboot your system, logout and log back in, or open up a new terminal, you should run source ~/.profile to make sure you have access to your Python virtual environments.Q. When I

OE 4. OpenCV 4 opencv/opencv Wiki - GitHub

The name of the virtual environment. To exit the virtual environment, use the deactivate command.Once inside the virtual environment, you can now install OpenCV. Execute the command below.pip3 install opencv-pythonInstall OpenCV with pipFrom the image above, you can see we have successfully installed OpenCV version 4.5.1.48. That’s it! You are done with OpenCV installation. To test OpenCV in your project, skip to the Test section at the bottom of the article.Method 2: Install OpenCV from the sourceIf you need a full installation of OpenCV, which includes patented algorithms, then you should use this method. Unlike the pip install method, which only takes a couple of minutes, compiling OpenCV from the source can take around two (2) hours. Follow the steps below:Step 1. Activate your virtual environment with the workon command below.workon sbb_cvStep 2. Download the source code for both OpenCV and Opencv_contrib from Github. Use the wget commands below.wget -O opencv_contrib.zip -O opencv.zip you get an error like ‘wget command not found,’ then you will need to install it with the command – sudo apt install wgetStep 3. We need to unzip the contents of the two files we downloaded. Use the unzip command as shown below:unzip opencv.zipunzip opencv_contrib.zipStep 4. After extracting the zip files, we will have two folders – opencv-4.5.2 and opencv_contrib-4.5.1. Let’s rename these two to something memorable like opencv and opencv_contrib.mv opencv-4.5.2 opencvmv opencv_contrib-4.5.1 opencv_contribRename foldersStep 5. Compiling OpenCV can be quite heavy on the Raspberry Pi memory. To avoid freezing or hanging, we can increase the SWAP space and utilize all four cores of the Pi in the compiling process. To do so, we will edit the dphys-swapfile present in the /etc. directory. Execute the command below to open dphys-swapfile with the nano editor.sudo nano /etc/dphys-swapfileFind the line – CONF_SWAPSIZE and set its value to. Problem with Opencv and Python. 0. Python For OpenCV. OpenCV 2.4.3 and Python. 0. OpenCV Python . OpenCV for Python 3.5.1. 3. OpenCV 3 Python. 2. Opencv Pythonprogram. 0. Opencv Raspberry python3. Hot Network Questions How to understand parking rules in Austria (street parking)

Maven Repository: opencv opencv 4.5.0-0

Cv2.rectangle(clone, (x, y), (x + w, y + h), (0, 255, 0), 2)# show the output of applying the simple contour methodcv2.imshow("Simple Method", clone)cv2.waitKey(0)To extract the contours from the reference image, we make use of OpenCV’s cv2.findContours function (Lines 97 and 98).Note: OpenCV 2.4, 3, and 4 return contours differently, so Line 99 has some logic to account for this.Next, we sort the contours from left to right on Line 100.We’re going to draw on the image, so we copy all channels to an image called clone on Line 103.The last step to the simple contour method, before displaying the results, is to loop over the sorted contours (Line 106). In this loop, we compute the bounding box of each contour (Line 109) and then draw a rectangle around it (Line 110).Results are displayed by showing the image (Line 113) and pausing here until a key is pressed (Line 114) — see Figure 4:Figure 4: The naïve method of extracting bank check symbols with OpenCV can extract digits, but fails to correctly compute the bounding box for each of the control symbols.Do you see the problem with this approach? The issue is that we have 22 bounding boxes rather than the desired 14 bounding outlines (one for each character). Obviously this problem is solvable with a more advanced methodology.The more advanced method is shown and described below:# extract the digits and symbols from the list of contours, then# initialize a dictionary to map the character name to the ROI(refROIs, refLocs) = extract_digits_and_symbols(ref, refCnts, minW=10, minH=20)chars = {}# re-initialize the clone image so we can draw on it againclone = np.dstack([ref.copy()] * 3)# loop over the reference ROIs and locationsfor (name, roi, loc) in zip(charNames, refROIs, refLocs): # draw a bounding box surrounding the character on the output # image (xA, yA, xB, yB) = loc cv2.rectangle(clone, (xA, yA), (xB, yB), (0, 255, 0), 2) # resize the ROI to a fixed size, then update the characters # dictionary, mapping the character name to the ROI roi = cv2.resize(roi, (36, 36)) chars[name] = roi # display the character ROI to our screen cv2.imshow("Char", roi) cv2.waitKey(0)# show the output of our better methodcv2.imshow("Better Method", clone)cv2.waitKey(0)Remember that long function, extract_digits_and_symbols , we wrote at the beginning of this script? It is now being put to use on Lines 118 and 119.Next, we initialize an empty dictionary, chars , which will hold the name Sure you are in the cv virtual environment:$ workon cvFollowed by setting up the build:$ cd ~/opencv-3.0.0/$ mkdir build$ cd build$ cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D INSTALL_C_EXAMPLES=ON \ -D INSTALL_PYTHON_EXAMPLES=ON \ -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.0.0/modules \ -D BUILD_EXAMPLES=ON ..Update (3 January 2016): In order to build OpenCV 3.1.0 , you need to set -D INSTALL_C_EXAMPLES=OFF (rather than ON ) in the cmake command. There is a bug in the OpenCV v3.1.0 CMake build script that can cause errors if you leave this switch on. Once you set this switch to off, CMake should run without a problem.Before you move on to the compilation step, make sure you examine the output of CMake!Scroll down the section titled Python 2 and Python 3 .If you’re compiling OpenCV 3 for Python 2.7, then you’ll want to make sure the Python 2 section looks like this (highlighted) in red:Figure 3: Ensuring that Python 2.7 will be used for the compile.Notice how both the Interpreter and numpy variables point to the cv virtual environment.Similarly, if you’re compiling OpenCV for Python 3, then make sure the Python 3 section looks like this:Figure 4: Ensuring that Python 3 will be used for the compile.Again, both the Interpreter and numpy variables are pointing to our cv virtual environment.In either case, if you do not see the cv virtual environment for these variables MAKE SURE YOU ARE IN THE cv VIRTUAL ENVIRONMENT PRIOR TO RUNNING CMAKE!Now that our build is all setup, we can compile OpenCV:$ make -j4Timing: 1h 35mThe -j4 switch stands for the number of cores to use when compiling OpenCV. Since we are using a Raspberry Pi 2, we’ll leverage all four cores of the processor for a faster compilation.However, if your make command errors out, I would suggest starting the compilation over again and only using one core:$ make clean$ makeUsing only one core will take much longer to compile, but can help reduce any type of strange race dependency condition errors when compiling.Assuming OpenCV compiled without error, all we need to do is install it on our system:$ sudo make install$ sudo ldconfigStep

Maven Repository: opencv opencv 4.0.0-0

Nonzerox[left_lane_inds]lefty = nonzeroy[left_lane_inds] rightx = nonzerox[right_lane_inds]righty = nonzeroy[right_lane_inds]return leftx, lefty, rightx, righty, out_imgdef fit_polynomial_first_lane(binary_warped):leftx, lefty, rightx, righty, out_img = find_lane_pixels(binary_warped)left_fit = np.polyfit(lefty, leftx, 2)right_fit = np.polyfit(righty, rightx, 2)ploty = np.linspace(0, binary_warped.shape[0]-1, binary_warped.shape[0])try:left_fitx = left_fit[0] * ploty2 + left_fit[1] * ploty + left_fit[2]right_fitx = right_fit[0] * ploty2 + right_fit[1] * ploty + right_fit[2]except TypeError:print('The function failed to fit a line!')left_fitx = 1 * ploty2 + 1 * plotyright_fitx = 1 * ploty2 + 1 * plotyout_img[lefty, leftx] = [255, 0, 0]out_img[righty, rightx] = [0, 0, 255]left_pts = np.transpose(np.vstack((left_fitx, ploty))).astype(np.int32)right_pts = np.transpose(np.vstack((right_fitx, ploty))).astype(np.int32)cv2.polylines(out_img, np.int32([left_pts]), False, (255, 255, 0), thickness=5)cv2.polylines(out_img, np.int32([right_pts]), False, (255, 255, 0), thickness=5)return left_fit, right_fit, out_imgbinary_warped pixel range: 0 to 255binary_warped shape: (720, 1280, 3), type: uint8out_img shape: (720, 1280, 9), type: uint8error Traceback (most recent call last) in ()146147 # Find lane pixels and fit polynomial--> 148 left_fit, right_fit, out_img = fit_polynomial_first_lane(binary_warped)149150 # Plot the results1 frames in find_lane_pixels(binary_warped)66 win_xright_high = min(binary_warped.shape[1], win_xright_high)67---> 68 cv2.rectangle(out_img, (win_xleft_low, win_y_low), (win_xleft_high, win_y_high), (0, 255, 0), 2)69 cv2.rectangle(out_img, (win_xright_low, win_y_low), (win_xright_high, win_y_high), (0, 255, 0), 2)70error: OpenCV(4.8.0) /io/opencv/modules/core/src/copy.cpp:71: error: (-215:Assertion failed) cn

Maven Repository: opencv opencv 4.10.0-0

Imgproc.morphologyEx(input, output, Imgproc.MORPH_OPEN, erodeElement); }}Thank you! Perhaps that strange problem is a bug in OpenCV 3.4.1 itself. bug will be fixed in the next version OpenCVForUnity.I don’t have the versions of OpenCV for MOBILE devices build with ffmpeg.Thank you for your valuable ideas.Currently, plugin files that exclude the contrib module for Android and iOS platform are included with OpenCVForUnity. When reusing mat used for Utils.matToTexture2D (Mat mat, Texture2D texture2D, bool flip = true, int flipCode = 0, bool flipAfter = false), please set flipAfter flag to true. // Generate mat for mask --- Utils.matToTexture2D(mat_mask, texToDisplay_mask, true, 0, true); --- qwert024 August 10, 2018, 1:35pm 1756 Thank you!! ososmam August 12, 2018, 9:40am 1757 HelloI need to crop the detected face from the webcam feed as 2d texture or even mesh and put it in another place is that possible and how to achieve this I’m using dlib face landmark and please I’m a beginner so I don’t know what to do I think that this example will be helpful for what you want to realize. qwert024 August 15, 2018, 3:34am 1759 Hello!I am trying to set flipAfter flag to true as you said. However I got “No overload for method ‘matToTexture2D’ takes 5 arguments” error and I am not able to figure it out. It would be great if you would tell me what I’ve done wrong. THank you! I am new to OpenCV but working to make a face detection feature.The AsyncFaceDetectionWebCamTextureExample works well on Unity editor but the. Problem with Opencv and Python. 0. Python For OpenCV. OpenCV 2.4.3 and Python. 0. OpenCV Python . OpenCV for Python 3.5.1. 3. OpenCV 3 Python. 2. Opencv Pythonprogram. 0. Opencv Raspberry python3. Hot Network Questions How to understand parking rules in Austria (street parking) IP Webcam on OpenCV for Java. 0. Android Phone Ip webcam app doesn't work with openCV in java. 4. Streaming from IP camera using OpenCV. 3. Android JavaCV Camera2. 0. Cannot

Maven Repository: opencv opencv 4.3.0-0

All of our prerequisites installed, so let’s grab the 3.0.0 version of OpenCV from the OpenCV repository. (Note: As future versions of OpenCV are released just replace the 3.0.0 with the most recent version number):$ cd ~$ wget -O opencv.zip unzip opencv.zipTiming: 2m 29sFor the full install of OpenCV 3 (which includes features such as SIFT and SURF), be sure to grab the opencv_contrib repo as well. (Note: Make sure your opencv and opencv_contrib versions match up, otherwise you will run into errors during compilation. For example, if I download v3.0.0 of opencv , then I’ll want to download v3.0.0 of opencv_contrib as well):$ wget -O opencv_contrib.zip unzip opencv_contrib.zipTiming: 1m 54sStep #3: Setup PythonThe first step in setting up Python for our OpenCV compile is to install pip , a Python package manager:$ wget sudo python get-pip.pyTiming: 26sI’ve discussed both virtualenv and virtualenvwrapper many times on the PyImageSearch blog before, especially within these installation tutorials. Installing these packages is certainly not a requirement to get OpenCV and Python up and running on your Raspberry Pi, but I highly recommend that you install them!Using virtualenv and virtualenvwrapper allows you to create isolated Python environments, separate from your system install of Python. This means that you can run multiple versions of Python, with different versions of packages installed into each virtual environment — this solves the “Project A depends on version 1.x, but Project B needs 4.x” problem that often arises in software engineering.Again, it’s standard practice in the Python community to use virtual environments, so I highly suggest that you start using them if you are not already:$ sudo pip install virtualenv virtualenvwrapper$ sudo rm -rf ~/.cache/pipTiming: 17sAfter virtualenv and virtualenvwrapper have been installed, we need to update our ~/.profile file and insert the following lines at the bottom of the file:# virtualenv and virtualenvwrapperexport WORKON_HOME=$HOME/.virtualenvssource /usr/local/bin/virtualenvwrapper.shYou can use your favorite editor to edit this file, such as vim , emacs , nano , or any other graphical editor included in the Raspbian Jessie distribution. Again, all you need to do is open the file located at /home/pi/.profile and insert the