fpeg | Face-sensitive image compression | Machine Learning library

by andrewschreiber Python Version: Current License: MIT

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

kandi X-RAY | fpeg Summary

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

A prototype of an implementation of a content-sensitive image compression algorithm. FPEG detects faces in an image and compresses those regions less than the surrounding pixels. In theory the human visual cortex is more sensitive to compression artifacts on faces then surrounding context, therefore using higher compression in non-facial regions will lead to smaller images with comparable perceived quality. See for examples with filesizes. Won 1st place at 2015 AccelerateSF Hackathon

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fpeg has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 146 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fpeg is current.

Quality

fpeg has no bugs reported.

Security

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

License

fpeg 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

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

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

Top functions reviewed by kandi - BETA

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

Compress and compress source image
View .
Serve static files .

Get all kandi verified functions for this library.

fpeg Key Features

No Key Features are available at this moment for fpeg.

fpeg Examples and Code Snippets

No Code Snippets are available at this moment for fpeg.

Community Discussions

Trending Discussions on fpeg

I'm trying to recreate a specific plot in R (ggplot2)

QUESTION

I'm trying to recreate a specific plot in R (ggplot2)

Asked 2018-Apr-07 at 00:26

Despite having tried many types of lines, I just cannot get the same result. Here is how I need the lines to look:

And this is how I got it so far (and am stuck at):

Here is my code:

...

ANSWER

Answered 2018-Apr-06 at 21:22

Instead of using method = "lm" in the geom_smooth-function use the glm with the binomial family. The glm-smooth gives you only values between 0 and 1 (what you want to have, because you're dealing with proportion).

Source https://stackoverflow.com/questions/49700958

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

Vulnerabilities

No vulnerabilities reported

Install fpeg

You can download it from GitHub.
You can use fpeg 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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