opencv_wrapper | A wrapper library for OpenCV Python | Computer Vision library
kandi X-RAY | opencv_wrapper Summary
kandi X-RAY | opencv_wrapper Summary
opencv_wrapper is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. opencv_wrapper has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However opencv_wrapper has 1 bugs. You can install using 'pip install opencv_wrapper' or download it from GitHub, PyPI.
A wrapper library for OpenCV Python
A wrapper library for OpenCV Python
Support
Quality
Security
License
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Support
opencv_wrapper has a low active ecosystem.
It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 3 have been closed. On average issues are closed in 70 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of opencv_wrapper is current.
Quality
opencv_wrapper has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 24 code smells.
Security
opencv_wrapper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
opencv_wrapper code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
opencv_wrapper is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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opencv_wrapper releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 1350 lines of code, 141 functions and 15 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed opencv_wrapper and discovered the below as its top functions. This is intended to give you an instant insight into opencv_wrapper implemented functionality, and help decide if they suit your requirements.
- Opens an image
- Check if an image is empty
- Draws a circle
- Ensures a color is an integer
- Threshold image to zero
- Raise an error if the image is wrong
- Convert from BGR to luv
- Check if an image is a color
- Close an image
- Dilate an image
- Erode an image
- Convert from BGR to HGR
- Convert BGR to XYZ
- Converts bgr to HSV
- Convert an image to a grayscale
Get all kandi verified functions for this library.
opencv_wrapper Key Features
No Key Features are available at this moment for opencv_wrapper.
opencv_wrapper Examples and Code Snippets
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import cv2 as cv
import random
img = cv.imread("resources/color_wheel_invert.png")
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
_, otsu = cv.threshold(gray, 250, 255, cv.THRESH_BINARY_INV)
_, contours, _ = cv.findContours(otsu, cv.RETR_EXTERNAL, cv.CH
Copy
import cv2 as cv
video = cv.VideoCapture("path/to/file")
if not video.isOpened():
raise ValueError("Could not open video")
while True:
ok, frame = video.read()
if not ok:
break
cv.imshow("Frame", frame)
if cv.waitKey(0) &
Copy
tfImage = np.array(openCVImage)[:, :, 0:3]
# run the network to get the predictions
predictions = sess.run(finalTensor, {'DecodeJpeg:0': tfImage})
Community Discussions
Trending Discussions on opencv_wrapper
QUESTION
Go-vet complains about unsafeptr when CMatrix is converted to slice
Asked 2021-Mar-03 at 13:15
I'm using openCV with Go and have this function:
...ANSWER
Answered 2021-Mar-03 at 13:15See Go Issue #40701. A safer alternative would be the following:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install opencv_wrapper
Getting started is easy, using pip or pipenv!. Note that you must install opencv-python separately. The reason is so that you can select the appropriate package from opencv-python and opencv-python-headless, or instead opt to compile the Python bindings are part of the OpenCV source tree yourself.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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