Holocron | PyTorch implementations of recent Computer Vision tricks | Machine Learning library

by frgfm Python Version: v0.2.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Holocron Summary

Holocron is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. Holocron has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Holocron' or download it from GitHub, PyPI.

Implementations of recent Deep Learning tricks in Computer Vision, easily paired up with your favorite framework and model zoo. Holocrons were information-storage datacron devices used by both the Jedi Order and the Sith that contained ancient lessons or valuable information in holographic form.

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Quality

Security

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Support

Holocron has a low active ecosystem.

It has 271 star(s) with 48 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 17 have been closed. On average issues are closed in 90 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Holocron is v0.2.1

Quality

Holocron has no bugs reported.

Security

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

License

Holocron is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Holocron releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can 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 Holocron and discovered the below as its top functions. This is intended to give you an instant insight into Holocron implemented functionality, and help decide if they suit your requirements.

Main function .
Compute the loss for each box .
A yolov graph .
Performs a single step .
Compute the mutual channel loss .
Computes the cross entropy of x and target .
Finds the lr_finder function .
Calculate the focal loss .
Calculate TPM .
Compute the ciouine between two boxes .

Get all kandi verified functions for this library.

Holocron Key Features

No Key Features are available at this moment for Holocron.

Holocron Examples and Code Snippets

No Code Snippets are available at this moment for Holocron.

Community Discussions

Trending Discussions on Holocron

Time-series/cumulative data plots using ggplot2

Thorntail: Unsatisfied dependencies for type LoggingFraction with qualifiers @Any

QUESTION

Time-series/cumulative data plots using ggplot2

Asked 2021-Feb-08 at 17:18

Before everything, I want to thank you for reading my post.

I am not very autonomous in R code language, and in the last days I've been dealing with a issue regarding ploting several time-series lines of the same data in one plot. I've already try to understand it by myself (searching on google, even several threads here), but with little to none success.

In my database, I have the data of when a register was created - and if this register is valid or invalid. My objective was to do a plot, in which I would have a line with the cumulative number of total over time, as well as the cumulative value of valid and invalid registers over time.

In one of my many tries, I was able to do a time series with just the total registers done over time - Plot obtained with my script -, but I'm just not able to plot it with the cumulative timeseries of valid and invalid lines all together. The script I used was:

...

ANSWER

Answered 2021-Feb-08 at 17:18

Does this do what you want?

Source https://stackoverflow.com/questions/66105937

QUESTION

Thorntail: Unsatisfied dependencies for type LoggingFraction with qualifiers @Any

Asked 2019-May-14 at 07:08

I'm just getting started with Thorntail, and am trying to do the simplest of tests. I've written up a HealthCheck implementation that just returns a success status. That's all. When I run mvn thorntail:run, however, I get an error saying:

Unsatisfied dependencies for type LoggingFraction with qualifiers @Any

Here is the relevant part of the stacktrace:

...

ANSWER

Answered 2019-May-14 at 07:08

This is most likely "the classpath problem". Thorntail typically runs from an uberjar, but mvn thorntail:run by default tries to assemble a similar environment from the Maven dependency set (aka "classpath"). This doesn't always work correctly. You can switch to the uberjar by mvn thorntail:run -Dthorntail.useUberJar. Please let us know if that works for you.

Side note: I've proposed several times to switch the default behavior to using the uberjar. Perhaps it's finally time to do it :-)

Source https://stackoverflow.com/questions/56119589

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

Vulnerabilities

No vulnerabilities reported

Install Holocron

You can install using 'pip install Holocron' or download it from GitHub, PyPI.
You can use Holocron 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.