Opencv как установить anaconda jupiter

How to Import OpenCV on Jupyter Notebook

If you are a data scientist or software engineer working with computer vision, you are probably familiar with OpenCV. OpenCV is a powerful open-source computer vision library that provides a wide range of image processing functions. It is widely used in various computer vision projects, from simple image processing tasks to complex video analysis. In this blog post, we will discuss how to import OpenCV on Jupyter Notebook.

By Saturn Cloud | Monday, July 10, 2023 | Miscellaneous

What is OpenCV?

OpenCV is a popular computer vision library that provides a wide range of image processing functions. It was initially developed by Intel in 1999 and is now maintained by the OpenCV community. OpenCV is written in C++ and provides interfaces for Python, Java, and MATLAB. It is free for commercial and non-commercial use and is compatible with Windows, Linux, Mac OS, iOS, and Android.

OpenCV provides various functionalities for image and video processing, such as image filtering, feature detection, object recognition, and face detection. It also includes support for various machine learning algorithms, such as neural networks and support vector machines.

Why use Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used in data science and machine learning projects for exploratory data analysis, prototyping, and sharing code and results. Jupyter Notebook supports many programming languages, including Python, R, and Julia.

Jupyter Notebook provides an interactive environment for data analysis and visualization. It allows you to write and execute code in small pieces and see the results immediately. This makes it easy to explore data and experiment with different algorithms and parameters. Jupyter Notebook also provides support for various data visualization libraries, such as Matplotlib and Seaborn.

How to import OpenCV on Jupyter Notebook?

Before we can use OpenCV on Jupyter Notebook, we first need to install it. OpenCV can be installed using pip, a package manager for Python. To install OpenCV, open a terminal or command prompt and type the following command:

pip install opencv-python

Once OpenCV is installed, we can import it on Jupyter Notebook. To do this, open a new Jupyter Notebook and create a new code cell. In the code cell, type the following code:

This will import the OpenCV library into our Jupyter Notebook environment. We can now use all the OpenCV functions and classes in our code.

To test if OpenCV is imported correctly, we can load an image using the imread() function and display it using the imshow() function. In the code cell, type the following code:

import cv2 from matplotlib import pyplot as plt # Load image img = cv2.imread('image.png') # Convert image from BGR to RGB img2 = img[. -1] # Show image using Matplotlib as cv2.imshow will cause jupyter kernel crashed. plt.imshow(img2)

Replace image.png with the path and filename of the image you want to load. This code will load the image and display it.

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Conclusion

In this blog post, we discussed how to import OpenCV on Jupyter Notebook. Firstly, you need to install it using pip. Once installed, you can import it using the import statement. You can then use all the OpenCV functions and classes in your code. To test if OpenCV is imported correctly, you can load an image using the imread() and display it using the matplotlib.pyplot functions. By combining OpenCV and Jupyter Notebook, you can easily explore and experiment with different computer vision algorithms and techniques.

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Как установить OpenCV в anaconda?

введите сюда описание изображения

При установке из командной строки выдает всё те же ошибки.

Traceback (most recent call last): File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1062, in __call__ return func(*args, **kwargs) File "D:\Anaconda3\lib\site-packages\conda\cli\main.py", line 84, in _main exit_code = do_call(args, p) File "D:\Anaconda3\lib\site-packages\conda\cli\conda_argparse.py", line 80, in do_call module = import_module(relative_mod, __name__.rsplit('.', 1)[0]) File "D:\Anaconda3\lib\importlib\__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1006, in _gcd_import File "", line 983, in _find_and_load File "", line 967, in _find_and_load_unlocked File "", line 677, in _load_unlocked File "", line 728, in exec_module File "", line 219, in _call_with_frames_removed File "D:\Anaconda3\lib\site-packages\conda\cli\main_install.py", line 8, in from .install import install File "D:\Anaconda3\lib\site-packages\conda\cli\install.py", line 19, in from ..core.index import calculate_channel_urls, get_index File "D:\Anaconda3\lib\site-packages\conda\core\index.py", line 9, in from .package_cache_data import PackageCacheData File "D:\Anaconda3\lib\site-packages\conda\core\package_cache_data.py", line 15, in from conda_package_handling.api import InvalidArchiveError File "D:\Anaconda3\lib\site-packages\conda_package_handling\api.py", line 3, in from libarchive.exception import ArchiveError as _LibarchiveArchiveError File "D:\Anaconda3\lib\site-packages\libarchive\__init__.py", line 1, in from .entry import ArchiveEntry File "D:\Anaconda3\lib\site-packages\libarchive\entry.py", line 6, in from . import ffi File "D:\Anaconda3\lib\site-packages\libarchive\ffi.py", line 48, in libarchive = ctypes.cdll.LoadLibrary(libarchive_path) File "D:\Anaconda3\lib\ctypes\__init__.py", line 434, in LoadLibrary return self._dlltype(name) File "D:\Anaconda3\lib\ctypes\__init__.py", line 356, in __init__ self._handle = _dlopen(self._name, mode) TypeError: LoadLibrary() argument 1 must be str, not None During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\Anaconda3\Scripts\conda-script.py", line 12, in sys.exit(main()) File "D:\Anaconda3\lib\site-packages\conda\cli\main.py", line 150, in main return conda_exception_handler(_main, *args, **kwargs) File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1354, in conda_exception_handler return_value = exception_handler(func, *args, **kwargs) File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1065, in __call__ return self.handle_exception(exc_val, exc_tb) File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1109, in handle_exception return self.handle_unexpected_exception(exc_val, exc_tb) File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1120, in handle_unexpected_exception self.print_unexpected_error_report(error_report) File "D:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1190, in print_unexpected_error_report from .cli.main_info import get_env_vars_str, get_main_info_str File "D:\Anaconda3\lib\site-packages\conda\cli\main_info.py", line 19, in from ..core.index import _supplement_index_with_system File "D:\Anaconda3\lib\site-packages\conda\core\index.py", line 9, in from .package_cache_data import PackageCacheData File "D:\Anaconda3\lib\site-packages\conda\core\package_cache_data.py", line 15, in from conda_package_handling.api import InvalidArchiveError File "D:\Anaconda3\lib\site-packages\conda_package_handling\api.py", line 7, in from .tarball import CondaTarBZ2 as _CondaTarBZ2 File "D:\Anaconda3\lib\site-packages\conda_package_handling\tarball.py", line 7, in import libarchive File "D:\Anaconda3\lib\site-packages\libarchive\__init__.py", line 1, in from .entry import ArchiveEntry File "D:\Anaconda3\lib\site-packages\libarchive\entry.py", line 6, in from . import ffi File "D:\Anaconda3\lib\site-packages\libarchive\ffi.py", line 48, in libarchive = ctypes.cdll.LoadLibrary(libarchive_path) File "D:\Anaconda3\lib\ctypes\__init__.py", line 434, in LoadLibrary return self._dlltype(name) File "D:\Anaconda3\lib\ctypes\__init__.py", line 356, in __init__ self._handle = _dlopen(self._name, mode) TypeError: LoadLibrary() argument 1 must be str, not None

Anaconda Jupyter Notebook Opencv not working

Ok so to preface this, I am very new to jupyter notebook and anaconda. Anyways I need to download opencv to use in my notebook but every time I download I keep getting a NameError saying that ‘cv2’ is not defined. I have uninstalled and installed opencv many times and in many different ways and I keep getting the same error. I saw on another post that open cv is not in my python path or something like that… How do I fix this issue and put open cv in the path? (I use Mac btw) Please help 🙁 Thank you!

asked Feb 2, 2023 at 5:07
prgrmr_dal prgrmr_dal
1 1 1 bronze badge

1 Answer 1

Try the following:

Install OpenCV using Anaconda Navigator or via terminal by running:
conda install -c conda-forge opencv
Now you should check if its installed by running this in terminal: conda list
Import OpenCV in Jupyter Notebook: In your Jupyter Notebook, run import cv2 and see if it works.
If the above steps are not working, you should add OpenCV to your Python PATH by writing the following code to your Jupyter NB:
import sys sys.path.append(‘/anaconda3/lib/python3.7/site-packages’)

This should work.

answered Feb 2, 2023 at 5:17
ethancodes6969 ethancodes6969
1 1 1 bronze badge

opencv
anaconda
jupyter
nameerror
pythonpath

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Установка OpenCV-Python на виртуальной среде для суперчайников

Здесь вы найдете пошаговый пример установки библиотеки OpenCV на Python.

Установка Python
Установка виртуальной среды
Установка OpenCV + jupiterlab, numpy, matplotlib
Тестирование

Все тестировала на планшете Microsoft Surface, Windows 10 Pro, c 64-битной операционной системой.

Предположим, что на вашем устройстве ничего не установлено заранее.

Сначала установим Python.
Скачиваем нужную версию и запускаем .exe файл. Не забываем установить галочку add path. Я установила Python 3.7.3 от 25 марта 2019 г., потому что новая на данный момент версия Python 3.7.4 от 8го июля 2019 г. работала некорректно, а именно в терминале некоторые команды зависали. Открываем командную строку.
Устанавливаем virtualenv.
Виртуальная среда нам нужна для того, чтобы для каждого отдельного проекта была своя «комната» со своими версиями установленных библиотек, которые не будут зависеть от других проектов и путаться между собой.
Пакеты будем устанавливать с помощью pip. Он в последнее время сразу идет с Python, но обычно требуется его обновить командой:
python -m pip install —upgrade pip
Обновили pip, теперь установим виртуальную среду:
pip install virtualenv
Командой cd перейдите в папку, в которой хотите создать среду и введите команду:
mkdir opencvtutorial_env — так мы создали среду с названием opencvtutorial_env.
Далее вводим команду virtualenv opencvtutorial_env и для активации перейдите в папку среды и далее с помощью Tab до activate.
.\opencvtutorial_env\Scripts\activate
Установим библиотеки OpenCV-Python, Numpy и Matplotlib, которые понадобятся для тестирования функций opencv.
Самый легкий и быстрый вариант установки у меня получился с неофициальной версии. Устанавливаем его командой:
pip install opencv-python
Вместе с opencv-python в подарок с этим пакетом идет numpy. Дополнительно установим matplotlib: pip install matplotlib .
Установим pip install jupyterlab и запустим его командой jupyter notebook .
Теперь осталось проверить все ли у нас работает. В открывшемся окне создаем новый Python 3 файл, и запускаем команду:
import cv2 as cv
print( cv.__version__ )
Если выходит версия opencv, то поздравляю, можно тестировать туториалы c официального сайта. Мои примеры работ по туториалам можно найти здесь.

opencv-python
computer vision
компьютерное зрение
python3
virtualenv