opencv-python | Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib- | Computer Vision library

 by   opencv Shell Version: 4.10.0.84 License: MIT

kandi X-RAY | opencv-python Summary

kandi X-RAY | opencv-python Summary

opencv-python is a Shell library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. opencv-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Pre-built CPU-only OpenCV packages for Python. Check the manual build section if you wish to compile the bindings from source to enable additional modules such as CUDA.
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              opencv-python has a medium active ecosystem.
              It has 3491 star(s) with 686 fork(s). There are 86 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 79 open issues and 583 have been closed. On average issues are closed in 24 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of opencv-python is 4.10.0.84

            kandi-Quality Quality

              opencv-python has 0 bugs and 0 code smells.

            kandi-Security Security

              opencv-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              opencv-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              opencv-python is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              opencv-python releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 457 lines of code, 9 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            opencv-python Key Features

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            opencv-python Examples and Code Snippets

            Slicing of a scanned image based on large white spaces
            Pythondot img1Lines of Code : 40dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            from imutils import contours
            
            # Load image, grayscale, Gaussian blur, Otsu's threshold
            image = cv2.imread('1.png')
            original = image.copy()
            gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
            blur = cv2.GaussianBlur(gray, (7,7), 0)
            th
            Slicing of a scanned image based on large white spaces
            Pythondot img2Lines of Code : 35dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            
            img = cv2.imread('scanned_image.png', cv2.IMREAD_GRAYSCALE)  # Read image as grayscale
            
            thesh = cv2.threshold(img, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV)[1]  # Apply automatic thresholding with inve
            Remove stamp from bill python
            Pythondot img3Lines of Code : 37dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            
            # read image
            img = cv2.imread('form_with_label.jpg')
            
            # threshold on yellow
            lower=(0,200,200)
            upper=(100,255,255)
            thresh = cv2.inRange(img, lower, upper)
            
            # apply dilate morphology
            kernel = np.ones((9,9), np.
            How can I blur a mask and smooth its edges?
            Pythondot img4Lines of Code : 21dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # import the necessary packages
            import argparse
            import cv2
            # construct the argument parser and parse the arguments
            ap = argparse.ArgumentParser()
            ap.add_argument("-i", "--image", type=str, default="pca8e.png",
                help="path to input image
            Detecting squares in a chessboard OpenCV
            Pythondot img5Lines of Code : 32dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            
            # Load image, grayscale, Gaussian blur, Otsu's threshold
            image = cv2.imread("1.png")
            mask = np.zeros(image.shape, dtype=np.uint8)
            original = image.copy()
            gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
            blur = 
            How to read text from only a portion of the image with pytesseract
            Pythondot img6Lines of Code : 15dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import pytesseract
            
            img = cv2.imread('gamepictures/text.png')  # Load the image
            img = img[98:190,6:149,:]
            img = cv2.cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # convert to grey
            img = cv2.GaussianBlur(img, (5, 5), 3)
            img = cv2.adapti
            How to efficiently loop over an image pixel by pixel in python OpenCV?
            Pythondot img7Lines of Code : 136dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            #!/usr/bin/env python
            
            import itertools as its
            import sys
            import time
            
            import cv2
            import numpy as np
            
            
            def draw_img_orig(arr_in, arr_out, *args):
                factor = round(arr_out.shape[0] / arr_in.shape[0])
                factor_2 = factor // 2
                it = np
            How to crop image based on the object radius using OpenCV?
            Pythondot img8Lines of Code : 28dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            
            # load image as grayscale
            img = cv2.imread('Diabetic-Retinopathy_G_RM_151064169.jpg')
            
            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
            
            # threshold input image
            mask = cv2.threshold(gray, 10, 255, cv2.THRESH_BINA
            How to crop image based on the object radius using OpenCV?
            Pythondot img9Lines of Code : 27dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            
            # load image
            img = cv2.imread('black_circle.png')
            
            # convert to grayscale
            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
            
            # threshold
            threshold = cv2.threshold(gray,128,255,cv2.THRESH_BINARY)[1]
            
            # invert so ci
            How can I change background color to red of an image using Python
            Pythondot img10Lines of Code : 20dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import cv2
            import numpy as np
            image = cv2.imread('tulips.jpg')
            
            # Fill the black background with white color
            #cv2.floodFill(image, None, seedPoint=(0, 0), newVal=(0, 0, 255), loDiff=(2, 2, 2), upDiff=(2, 2, 2))  # Not working!
            
            hsv_img = c

            Community Discussions

            QUESTION

            Masking many images from two different path opencv
            Asked 2022-Mar-31 at 04:06

            Hello stackoverflow people:) I'm trying to masking many image from two different path, but I don't have an idea to do that. This an example for just two images and what I've do so far

            ...

            ANSWER

            Answered 2022-Mar-31 at 04:06

            Hope it will work for you !

            Source https://stackoverflow.com/questions/71659008

            QUESTION

            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

            ...

            ANSWER

            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120

            QUESTION

            AWS Elastic Beanstalk - Failing to install requirements.txt on deployment
            Asked 2022-Feb-05 at 22:37

            I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.

            Logs:

            ...

            ANSWER

            Answered 2022-Feb-05 at 22:37

            The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.

            Source https://stackoverflow.com/questions/71002698

            QUESTION

            ERROR: Could not build wheels for pycairo, which is required to install pyproject.toml-based projects
            Asked 2022-Jan-28 at 03:50

            Error while installing manimce, I have been trying to install manimce library on windows subsystem for linux and after running

            ...

            ANSWER

            Answered 2022-Jan-28 at 02:24
            apt-get install sox ffmpeg libcairo2 libcairo2-dev
            apt-get install texlive-full
            pip3 install manimlib  # or pip install manimlib
            

            Source https://stackoverflow.com/questions/70508775

            QUESTION

            Combining Object Detection with Text to Speech Code
            Asked 2021-Dec-28 at 16:46

            I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and https://pypi.org/project/pyttsx3/ for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!

            ...

            ANSWER

            Answered 2021-Dec-28 at 16:46

            I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:

            1. sudo apt update && sudo apt install espeak ffmpeg libespeak1
            2. pip install pyttsx3

            I followed the video youtube.com/watch?v=AWhDDl-7Iis&ab_channel=AiPhile to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.

            Source https://stackoverflow.com/questions/70129247

            QUESTION

            How to make conda use its own gcc version?
            Asked 2021-Dec-12 at 16:12

            I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:

            ...

            ANSWER

            Answered 2021-Dec-12 at 16:12

            Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.

            Source https://stackoverflow.com/questions/70316504

            QUESTION

            Could not find a version that satisfies the requirement psycopg2
            Asked 2021-Dec-05 at 21:00

            I'm working on CI for my Python + Django project. I have to use the python:3.9-alpine image. A weird error is popping in my CI pipelines:

            ...

            ANSWER

            Answered 2021-Dec-05 at 17:35

            What is the reason of my error?

            Did you read my previous answer to a similar question of yours? The last part warns about certain combinations of Alpine + Python and this seems to be happening right now.

            I tried to replace psycopg2 with psycopg2-binary but have the same error

            The problem here might be a python library that has dependencies on gcc, which is not shipped on alpine by default.

            Try replacing this:

            Source https://stackoverflow.com/questions/70235791

            QUESTION

            Gitlab CI: Failed building wheel for opencv-python
            Asked 2021-Dec-05 at 03:22

            I am working on CI/CD for my python/django project in gitlab.

            I have an error -- Gitlab CI: Failed building wheel for opencv-python

            Full gitlab ci log -- https://pastebin.com/pZdZ6ws2

            I have an error on the build_pip stage: gitlab-ci.yaml

            ...

            ANSWER

            Answered 2021-Dec-04 at 23:03

            In your logs, we can see the following error:

            Source https://stackoverflow.com/questions/70229490

            QUESTION

            Tensorflow Object Detection API taking forever to install in a Google Colab and failing
            Asked 2021-Nov-19 at 00:16

            I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.

            ...

            ANSWER

            Answered 2021-Nov-19 at 00:16

            I have solved this problem with

            Source https://stackoverflow.com/questions/70012098

            QUESTION

            ImportError: cannot import name 'BatchNormalization' from 'keras.layers.normalization'
            Asked 2021-Nov-13 at 07:14

            i have an import problem when executing my code:

            ...

            ANSWER

            Answered 2021-Oct-06 at 20:27

            You're using outdated imports for tf.keras. Layers can now be imported directly from tensorflow.keras.layers:

            Source https://stackoverflow.com/questions/69471749

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install opencv-python

            If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e.g. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. Make sure that your pip version is up-to-date (19.3 is the minimum supported version): pip install --upgrade pip. Check version with pip -V. For example Linux distributions ship usually with very old pip versions which cause a lot of unexpected problems especially with the manylinux format.
            If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e.g. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts.
            Make sure that your pip version is up-to-date (19.3 is the minimum supported version): pip install --upgrade pip. Check version with pip -V. For example Linux distributions ship usually with very old pip versions which cause a lot of unexpected problems especially with the manylinux format.
            Select the correct package for your environment: There are four different packages (see options 1, 2, 3 and 4 below) and you should SELECT ONLY ONE OF THEM. Do not install multiple different packages in the same environment. There is no plugin architecture: all the packages use the same namespace (cv2). If you installed multiple different packages in the same environment, uninstall them all with pip uninstall and reinstall only one package. a. Packages for standard desktop environments (Windows, macOS, almost any GNU/Linux distribution) Option 1 - Main modules package: pip install opencv-python Option 2 - Full package (contains both main modules and contrib/extra modules): pip install opencv-contrib-python (check contrib/extra modules listing from OpenCV documentation) b. Packages for server (headless) environments (such as Docker, cloud environments etc.), no GUI library dependencies These packages are smaller than the two other packages above because they do not contain any GUI functionality (not compiled with Qt / other GUI components). This means that the packages avoid a heavy dependency chain to X11 libraries and you will have for example smaller Docker images as a result. You should always use these packages if you do not use cv2.imshow et al. or you are using some other package (such as PyQt) than OpenCV to create your GUI. Option 3 - Headless main modules package: pip install opencv-python-headless Option 4 - Headless full package (contains both main modules and contrib/extra modules): pip install opencv-contrib-python-headless (check contrib/extra modules listing from OpenCV documentation)
            Import the package: import cv2 All packages contain Haar cascade files. cv2.data.haarcascades can be used as a shortcut to the data folder. For example: cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
            Read OpenCV documentation
            Before opening a new issue, read the FAQ below and have a look at the other issues which are already open.
            The project is structured like a normal Python package with a standard setup.py file. The build process for a single entry in the build matrices is as follows (see for example appveyor.yml file):. Steps 1--4 are handled by pip wheel.
            In Linux and MacOS build: get OpenCV's optional C dependencies that we compile against
            Checkout repository and submodules OpenCV is included as submodule and the version is updated manually by maintainers when a new OpenCV release has been made Contrib modules are also included as a submodule
            Find OpenCV version from the sources
            Build OpenCV tests are disabled, otherwise build time increases too much there are 4 build matrix entries for each build combination: with and without contrib modules, with and without GUI (headless) Linux builds run in manylinux Docker containers (CentOS 5) source distributions are separate entries in the build matrix
            Rearrange OpenCV's build result, add our custom files and generate wheel
            Linux and macOS wheels are transformed with auditwheel and delocate, correspondingly
            Install the generated wheel
            Test that Python can import the library and run some sanity checks
            Use twine to upload the generated wheel to PyPI (only in release builds)
            CI_BUILD. Set to 1 to emulate the CI environment build behaviour. Used only in CI builds to force certain build flags on in setup.py. Do not use this unless you know what you are doing.
            ENABLE_CONTRIB and ENABLE_HEADLESS. Set to 1 to build the contrib and/or headless version
            ENABLE_JAVA, Set to 1 to enable the Java client build. This is disabled by default.
            CMAKE_ARGS. Additional arguments for OpenCV's CMake invocation. You can use this to make a custom build.

            Support

            A: No, the packages are special wheel binary packages and they already contain statically built OpenCV binaries. Since opencv-python version 4.3.0.*, manylinux1 wheels were replaced by manylinux2014 wheels. If your pip is too old, it will try to use the new source distribution introduced in 4.3.0.38 to manually build OpenCV because it does not know how to install manylinux2014 wheels. However, source build will also fail because of too old pip because it does not understand build dependencies in pyproject.toml. To use the new manylinux2014 pre-built wheels (or to build from source), your pip version must be >= 19.3. Please upgrade pip with pip install --upgrade pip. A: If the import fails on Windows, make sure you have Visual C++ redistributable 2015 installed. If you are using older Windows version than Windows 10 and latest system updates are not installed, Universal C Runtime might be also required. Windows N and KN editions do not include Media Feature Pack which is required by OpenCV. If you are using Windows N or KN edition, please install also Windows Media Feature Pack. If you have Windows Server 2012+, media DLLs are probably missing too; please install the Feature called "Media Foundation" in the Server Manager. Beware, some posts advise to install "Windows Server Essentials Media Pack", but this one requires the "Windows Server Essentials Experience" role, and this role will deeply affect your Windows Server configuration (by enforcing active directory integration etc.); so just installing the "Media Foundation" should be a safer choice. If the above does not help, check if you are using Anaconda. Old Anaconda versions have a bug which causes the error, see this issue for a manual fix. If you still encounter the error after you have checked all the previous solutions, download Dependencies and open the cv2.pyd (located usually at C:\Users\username\AppData\Local\Programs\Python\PythonXX\Lib\site-packages\cv2) file with it to debug missing DLL issues. A: Make sure you have removed old manual installations of OpenCV Python bindings (cv2.so or cv2.pyd in site-packages). A: The repository contains only OpenCV-Python package build scripts, but not OpenCV itself. Python bindings for OpenCV are developed in official OpenCV repository and it's the best place to report issues. Also please check {OpenCV wiki](https://github.com/opencv/opencv/wiki) and the fficial OpenCV forum before file new bugs. A: Non-free algorithms such as SURF are not included in these packages because they are patented / non-free and therefore cannot be distributed as built binaries. Note that SIFT is included in the builds due to patent expiration since OpenCV versions 4.3.0 and 3.4.10. See this issue for more info: https://github.com/skvark/opencv-python/issues/126. A: It's easier for users to understand opencv-python than cv2 and it makes it easier to find the package with search engines. cv2 (old interface in old OpenCV versions was named as cv) is the name that OpenCV developers chose when they created the binding generators. This is kept as the import name to be consistent with different kind of tutorials around the internet. Changing the import name or behaviour would be also confusing to experienced users who are accustomed to the import cv2.
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            Install
          • PyPI

            pip install opencv-python

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            https://github.com/opencv/opencv-python.git

          • CLI

            gh repo clone opencv/opencv-python

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            git@github.com:opencv/opencv-python.git

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