face-recognition-in-movies | Report Sources
kandi X-RAY | face-recognition-in-movies Summary
kandi X-RAY | face-recognition-in-movies Summary
face-recognition-in-movies is a Jupyter Notebook library. face-recognition-in-movies has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
face-recognition-in-movies
face-recognition-in-movies
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Quality
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Support
face-recognition-in-movies has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
face-recognition-in-movies has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of face-recognition-in-movies is current.
Quality
face-recognition-in-movies has no bugs reported.
Security
face-recognition-in-movies has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
face-recognition-in-movies 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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face-recognition-in-movies releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of face-recognition-in-movies
face-recognition-in-movies Key Features
No Key Features are available at this moment for face-recognition-in-movies.
face-recognition-in-movies Examples and Code Snippets
No Code Snippets are available at this moment for face-recognition-in-movies.
Community Discussions
No Community Discussions are available at this moment for face-recognition-in-movies.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install face-recognition-in-movies
Following command will run analysis on Reservoir Dogs trailer. It will download casts photos to imdb/imdb_data/tmdb_images. Should run at ~10 fps. It analysis 4 out of 20 frames per second (every 5th frame) hence those jumps.
Python3.6
virtualenv
Python3.6
virtualenv
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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