VideoSummarization | Course Project for CS771 : Machine | Machine Learning library

by architsharma97 Python Version: Current License: No License

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kandi X-RAY | VideoSummarization Summary

VideoSummarization is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy applications. VideoSummarization has no bugs, it has no vulnerabilities and it has low support. However VideoSummarization build file is not available. You can download it from GitHub.

Course Project for CS771: Machine Learning. Use the following lines of code to download the SumMe dataset into the data folder. Refer to Michael Gygli's page. Following is the list of dependencies: imageio, numpy, matplotlib, opencv3, scikit-learn. The same goes for numpy, matplotlib, tensorflow, scikit-learn. For opencv on Mac OSX,. The second command fixes an issue with importing opencv on Mac OSX.

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VideoSummarization has a low active ecosystem.

It has 21 star(s) with 17 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VideoSummarization is current.

Quality

VideoSummarization has no bugs reported.

Security

VideoSummarization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

VideoSummarization does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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VideoSummarization releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Generate histogram .
VGG16 .
Generate strongly connected components .
Calculate the features from the given frames .
Sort a list of shots
Calculate the difference between two images .
Preprocess input image .
Decode predictions from a batch of predictions .
Saves the keyframes to files
Computes a color moments from a histogram .

Get all kandi verified functions for this library.

VideoSummarization Key Features

No Key Features are available at this moment for VideoSummarization.

VideoSummarization Examples and Code Snippets

No Code Snippets are available at this moment for VideoSummarization.

Community Discussions

Trending Discussions on VideoSummarization

OpenCV library error when compiling with CMake and Make: cannot find -lopencv_bgsegm

QUESTION

OpenCV library error when compiling with CMake and Make: cannot find -lopencv_bgsegm

Asked 2019-Sep-04 at 16:44

I was trying to build a repo located HERE. As per instructions, I created a CMakeLists, and updated the directory addresses inside. I was not sure about the OpenCV path, but found two candidates and inserted both.

Cmake is good, but when doing make, I get this error, which I guess is maybe due to the openCV path being incorrect.

Here is the VERBOSE output:

...

ANSWER

Answered 2019-Sep-04 at 16:44

Although the Github repository you are using doesn't explicitly state it in the documentation, it appears you not only need OpenCV, but also need to build the extra OpenCV modules (hinted by this answer). The missing opencv_bgsegm library is provided by these "extra" OpenCV modules.

Following a tutorial such as this, you should include the CMake definition flag:

-DOPENCV_EXTRA_MODULES_PATH=/path/to/opencv_contrib/modules/

when running cmake. This will ensure the extra modules are built, and the opencv_bgsegm library will be available on your system.

Source https://stackoverflow.com/questions/57776568

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

Vulnerabilities

No vulnerabilities reported

Install VideoSummarization

You can download it from GitHub.
You can use VideoSummarization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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