EIPNet | Identity Preserving Network for Face Super

by BenjaminJonghyun Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | EIPNet Summary

EIPNet is a Python library typically used in Edge Computing, Pytorch, Tensorflow, Generative adversarial networks applications. EIPNet has no bugs, it has no vulnerabilities and it has low support. However EIPNet build file is not available. You can download it from GitHub.

Edge and Identity Preserving Network for Face Super-Resolution (EIPNet)

Support

Quality

Security

License

Reuse

Support

EIPNet has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

EIPNet has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EIPNet is current.

Quality

EIPNet has no bugs reported.

Security

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

License

EIPNet 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.

Reuse

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

EIPNet 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.

Top functions reviewed by kandi - BETA

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

Generator function for the generator
Convolutional layer
Edge convolution
Create a tensorflow variable
1D convolutional layer
Parse the options
Return the path to the checkpoint file
Gather options
Prints options to stdout
Save options to file
Save an image
Takes an image
Generate next batch test test
Opens an image file
Define discriminator
Generate next batch
Prints error message
Make a path to train and test data files

Get all kandi verified functions for this library.

EIPNet Key Features

No Key Features are available at this moment for EIPNet.

EIPNet Examples and Code Snippets

No Code Snippets are available at this moment for EIPNet.

Community Discussions

Trending Discussions on Edge Computing

Skooma input validator

How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)

What is the time complexity of this peudo code?

QUESTION

Skooma input validator

Asked 2022-Feb-03 at 15:35

I was given a task to implement an input validator with the Skooma library https://github.com/bobfp/skooma#validators

The general concept is pretty clear, but for some inputs I have a list of "legal" words, and I have zero clue on how to implement the validation for this case. Hence why I came here, I wanted to ask if you know any examples / projects that used this library? I googled but didn't find anything. Of if you have any other tipps just let me know! 🙂 This is the example:

my schema:

...

ANSWER

Answered 2022-Jan-31 at 00:05

You need a custom validator function, here's an example:

Source https://stackoverflow.com/questions/70913797

QUESTION

How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)

Asked 2021-Jan-22 at 10:01

I am working on edge computing for IoT applications and expected to create a system that acts as a near edge computer with the use of a raspberry pi hooked up to a dht11 sensor. How do I send this data over to a computer that is at the edge? Ideally I want to use my PC as this device but I have no clue how to send this data over in real time.

So far I have created the circuit and can view the temperature and humidity readings on the raspberry pi in python. Unsure of what the next steps are - I don't want to send this data over to the cloud just yet.

Side note: I believe i may be missing knowledge regarding this but is the raspberry pi an edge device because it is hooked up to the sensor directly?

Any help is greatly appreciated.

...

ANSWER

Answered 2021-Jan-22 at 10:01

You need to think this through a bit more. What will you do with the temperature and humidity data that you receive?

For example, if you're just experimenting and want to just see the readings in a console on your PC, you can use netcat to send the console output of your Python program from the RPi to PC. No SW development needed, they just have to be in the same network. Not particularly useful for anything else, either.

Otherwise you need to set up some client-server solution between the RPi and your PC. There's a ton of possible solutions, all depending on what you plan to do with the data. You can use MQTT, HTTP, a straight database connection (MySQL, PostgreSQL), etc. You have to supply both sides of the connection. The Python code on client side which connects and sends data; and the server side thing that accepts the samples and stores them somewhere. Plus all the networking, authentication etc.

Or you can just download the Python client libraries for your favourite cloud solution and set that up according to a tutorial. TBH, this sounds a lot less work to me.

Source https://stackoverflow.com/questions/65835920

QUESTION

What is the time complexity of this peudo code?

Asked 2020-Jun-21 at 12:16

I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?

Algorithm 1:

...

ANSWER

Answered 2020-Jun-21 at 11:50

Algorithm1

The algorithm1 will first perform simple multiplication and addition on vectors. Assuming that it loops from start to end on each vector and performs some calculations, the number of iterations made would be 3*N which would be considered O(N)

Source https://stackoverflow.com/questions/62497868

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

Vulnerabilities

No vulnerabilities reported

Install EIPNet

You can download it from GitHub.
You can use EIPNet 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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