deep-visualization-toolbox | code required to run the Deep Visualization Toolbox | Machine Learning library

by yosinski Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | deep-visualization-toolbox Summary

deep-visualization-toolbox is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. deep-visualization-toolbox has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However deep-visualization-toolbox build file is not available. You can download it from GitHub.

This is the code required to run the Deep Visualization Toolbox, as well as to generate the neuron-by-neuron visualizations using regularized optimization. The toolbox and methods are described casually here and more formally in this paper:.

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deep-visualization-toolbox has a medium active ecosystem.

It has 3933 star(s) with 931 fork(s). There are 176 watchers for this library.

It had no major release in the last 6 months.

There are 90 open issues and 49 have been closed. On average issues are closed in 95 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deep-visualization-toolbox is current.

Quality

deep-visualization-toolbox has 0 bugs and 0 code smells.

Security

deep-visualization-toolbox has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

deep-visualization-toolbox code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deep-visualization-toolbox 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

deep-visualization-toolbox releases are not available. You will need to build from source code and install.

deep-visualization-toolbox 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.

deep-visualization-toolbox saves you 1396 person hours of effort in developing the same functionality from scratch.

It has 3123 lines of code, 175 functions and 31 files.

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

Top functions reviewed by kandi - BETA

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

Get the tag for the given keycode
Return the tag associated with the given key label
Returns the key label for a given keycode
Return the value of the key
Resize an unsigned image to a given size
Resize an image to fit the given dtype
Ensures the given array is unsigned
Save image to file
Normalize arr
Save an image
Read a frame from a video
Read a frame from a cv2 image
Helper function for tile_images
Determine the height and width of the tiles
Set the value of the key
Remove items from the store
Calculate tile height and width
Add a single key
Add a key pair

Get all kandi verified functions for this library.

deep-visualization-toolbox Key Features

No Key Features are available at this moment for deep-visualization-toolbox.

deep-visualization-toolbox Examples and Code Snippets

No Code Snippets are available at this moment for deep-visualization-toolbox.

Community Discussions

Trending Discussions on deep-visualization-toolbox

Loading dylib in python fails on macOS Big Sur: `Symbol not found: ___addtf3`

QUESTION

Loading dylib in python fails on macOS Big Sur: `Symbol not found: ___addtf3`

Asked 2021-Feb-02 at 20:23

I have trouble when loading a custom mylib.dylib in python3.7 on Mac OS X Big Sur 11.1:

...

ANSWER

Answered 2021-Feb-02 at 20:23

Following @n. 'pronouns' m. advice from the comments, I tried to link libgcc_s instead of libSystem:

Source https://stackoverflow.com/questions/66015218

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

Vulnerabilities

No vulnerabilities reported

Install deep-visualization-toolbox

The only prerequisites beyond those required for Caffe are python-opencv, scipy, and scikit-image, which may be installed as follows (other install options exist as well):.
You can put it wherever you like:.