opencv-log | OpenCV based visual logger for debugging , logging | Computer Vision library

by navarasu Python Version: v1.4.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | opencv-log Summary

opencv-log is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. opencv-log has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However opencv-log build file is not available. You can download it from GitHub.

An OpenCV based visual logger for debugging, logging and testing reporting an image processing code.

Support

Quality

Security

License

Reuse

Support

opencv-log has a low active ecosystem.

It has 36 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 17 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of opencv-log is v1.4.0

Quality

opencv-log has 0 bugs and 0 code smells.

Security

opencv-log has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

opencv-log code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

opencv-log is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

opencv-log releases are available to install and integrate.

opencv-log has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

opencv-log saves you 251 person hours of effort in developing the same functionality from scratch.

It has 611 lines of code, 83 functions and 17 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed opencv-log and discovered the below as its top functions. This is intended to give you an instant insight into opencv-log implemented functionality, and help decide if they suit your requirements.

Visualize circles
Append a log item
Log image
Append some text to the file
Create the file
Show an image
Get the value of an environment variable
Check if html text sequences are appended
Get enum value
Log an image
Return the stack trace for the given start_stack
Appends text to the list
Log path
Return information about the current stack
Draw lines on the image
Finds the points of a line
Draw key points
Draws contours in image

Get all kandi verified functions for this library.

opencv-log Key Features

No Key Features are available at this moment for opencv-log.

opencv-log Examples and Code Snippets

,A Simple Usage

Python

Lines of Code : 7

License : Permissive (MIT)

Copy

import cvlog as log
import cv2

# image read using opencv
img = cv2.imread("sample.png")

log.image(log.Level.ERROR, img)

,Installation

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install opencv-log

Community Discussions

Trending Discussions on opencv-log

How masking is applied in bitwise_operation in opencv?

OpenCV error: ‘MAT’ is not a member of ‘cv’

QUESTION

How masking is applied in bitwise_operation in opencv?

Asked 2019-Jul-16 at 07:26

I was looking at the documentation of the OpenCV and found something which I couldn't understand. I've tried to find it on the web but couldn't find anything satisfying. Can you please help me in a line of code? Here is the code:

...

ANSWER

Answered 2019-Jul-16 at 07:26

If you look at the tutorial.

The mask is the black and white image of the OpenCV logo, it was created from applying a threshold to the OpenCV logo.

The bitwise_and operation is a logical and operation

In this case, it is taking two 8 bit numbers representing a pixel and applying the and operation on those numbers.

Documentation describes what this function does.

Since the first two parameters are the same (both roi or img2) the result would be the same image if a mask wasn't being used. Places, where the mask is black, are left the same as the destination image.

In this case, no destination image is provided, so OpenCV allocates a black image (zeros) for the destination image used in the function (this is generally how OpenCV works when a function is not provided with a Matrix).

Specifically img1_bg = cv.bitwise_and(roi,roi,mask = mask_inv) will create a black matrix used in the function which later becomes the output img1_bg. Only the parts of this black image that match up with white pixels in mask_inv are filled with the pixels from roi.This means that in the mask_inv where there are white pixels. the roi value will be copied in the pure black image generated by the function in the corresponding coordinate.

Similarly img2_fg = cv.bitwise_and(img2,img2,mask = mask) will create a black matrix used in the function which later becomes the output img2_fg. Only the parts of this black image that match up with white pixels in mask are filled with the pixels from img2.

This makes it so when you add img1_bg and img2_fg the result is only the part of each image that is masked.

Personally, I think this is a confusing use of bitwise_and. I think to demonstrate the function of bitwise_and it would be clearer to remove the mask parameter as follows: img1_bg = cv.bitwise_and(roi, mask_inv). This would give the same result, zeros where the mask is black, and the ROI values where it is not since the mask has pixels that are all ones or all zeroes.

If you don't care to demonstrate bitwise_and usage, in python I think it would be clearer to use logical indexing as follows:

Source https://stackoverflow.com/questions/57034030

QUESTION

OpenCV error: ‘MAT’ is not a member of ‘cv’

Asked 2017-Mar-28 at 04:19

I am attempting to execute a simple OpenCV program, but receive the following: error: ‘MAT’ is not a member of ‘cv’. I installed OpenCV from source following the instructions on the docs page. I then simplified the tutorial here to minimize potential problems. Here is my code:

...

ANSWER

Answered 2017-Mar-28 at 04:19

You must change cv::MAT to cv::Mat

Source https://stackoverflow.com/questions/43060327

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

Vulnerabilities

No vulnerabilities reported

Install opencv-log

Use the package manager pip to install.

Support

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate. Refer Guidelines for more information.

Find more information at: