imagecorruptions | Python package to corrupt arbitrary images | Machine Learning library
kandi X-RAY | imagecorruptions Summary
kandi X-RAY | imagecorruptions Summary
imagecorruptions is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. imagecorruptions has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install imagecorruptions' or download it from GitHub, PyPI.
This package provides a set of corruptions that can be applied to images in order to benchmark the robustness of neural networks. These corruptions are not meant to be used as training data augmentation but rather to test the networks against unseen perturbations. For more information have a look at the paper on the original corruption package by Hendrycks and Dietterich: Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.
This package provides a set of corruptions that can be applied to images in order to benchmark the robustness of neural networks. These corruptions are not meant to be used as training data augmentation but rather to test the networks against unseen perturbations. For more information have a look at the paper on the original corruption package by Hendrycks and Dietterich: Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.
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Quality
Security
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Support
imagecorruptions has a low active ecosystem.
It has 323 star(s) with 52 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 14 have been closed. On average issues are closed in 126 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of imagecorruptions is 1.1.2
Quality
imagecorruptions has 0 bugs and 0 code smells.
Security
imagecorruptions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
imagecorruptions code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
imagecorruptions is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
imagecorruptions releases are available to install and integrate.
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.
imagecorruptions saves you 198 person hours of effort in developing the same functionality from scratch.
It has 488 lines of code, 34 functions and 3 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed imagecorruptions and discovered the below as its top functions. This is intended to give you an instant insight into imagecorruptions implemented functionality, and help decide if they suit your requirements.
- Snow snow layer
- Returns the optimal kernel width for a given radius and sigma
- Shift an image
- Blurb image with specified radius
- Zoom image by zoom factor
- Calculate the noise kernel
- Gaussian function
- F fog
- Generate a random diamond region
- Returns the next power of x
- Blurblur a pixel image
- Shuffle the pixels in the background
- Defocus blurring blurring
- Create a GaussianBlurringBlurringBlurringBlurringBlank
- Creates spatter
- Convert an rgb value to gray
- Zoom blurring
- Blurring motion blur
- Frost image
- Corrupt an image
Get all kandi verified functions for this library.
imagecorruptions Key Features
No Key Features are available at this moment for imagecorruptions.
imagecorruptions Examples and Code Snippets
No Code Snippets are available at this moment for imagecorruptions.
Community Discussions
Trending Discussions on imagecorruptions
QUESTION
I cannot use opencv2 and received ImportError: libgl.so.1 cannot open shared object file no such file or directory
Asked 2020-Nov-04 at 03:33
**env:**ubuntu16.04 anaconda3 python3.7.8 cuda10.0 gcc5.5
command:
...ANSWER
Answered 2020-Nov-04 at 03:33I have solved this problem! Firstly,find the file:
QUESTION
fatal error: cuda_runtime_api.h: No such file or directory when trying to use cuda in docker
Asked 2020-Oct-22 at 14:06
I am trying to build a docker image for a python script that I would like to deploy. This is the first time I am using docker so I'm probably doing something wrong but I have no clue what.
My System:
...ANSWER
Answered 2020-Oct-22 at 13:20EDIT: this answer just tells you how to verify what's happening in your docker image. Unfortunately I'm unable to figure out why it is happening.
How to check it?
At each step of the docker build, you can see the various layers being generated. You can use that ID to create a temporary image to check what's happening. e.g.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install imagecorruptions
This package is pip installable via pip3 install imagecorruptions. An example of how to use the corruption function is given below:.
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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