dfc2020_baseline | Simple Baseline for the IEEE GRSS Data Fusion

by lukasliebel Python Version: Current License: GPL-3.0

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

kandi X-RAY | dfc2020_baseline Summary

dfc2020_baseline is a Python library typically used in Institutions, Learning, Education, Internet of Things (IoT), Deep Learning, Pytorch applications. dfc2020_baseline has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However dfc2020_baseline build file is not available. You can download it from GitHub.

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

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Quality

Security

License

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Support

dfc2020_baseline has a low active ecosystem.

It has 36 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dfc2020_baseline is current.

Quality

dfc2020_baseline has 0 bugs and 0 code smells.

Security

dfc2020_baseline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dfc2020_baseline code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dfc2020_baseline is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

dfc2020_baseline releases are not available. You will need to build from source code and install.

dfc2020_baseline 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.

dfc2020_baseline saves you 537 person hours of effort in developing the same functionality from scratch.

It has 1259 lines of code, 74 functions and 11 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dfc2020_baseline and discovered the below as its top functions. This is intended to give you an instant insight into dfc2020_baseline implemented functionality, and help decide if they suit your requirements.

Train the model
Performs validation
Transforms a tensor to a dense matrix
Display a label batch from training data
Export a model to a checkpoint file
Adds a confusion matrix
Add a batch
Displays a tensor image
Return a colormap
Calculate IOU
Returns the norm of the circuit
Convert a tensor to a numpy array
Convert a tensor to a numpy array
Export model to checkpoint file
Returns a list of 10xL parameters
Return a generator of 1x - layer parameters
Add confusion matrix
Compute the ConfMatrix A
ResNet 1
Returns a list of patches

Get all kandi verified functions for this library.

dfc2020_baseline Key Features

No Key Features are available at this moment for dfc2020_baseline.

dfc2020_baseline Examples and Code Snippets

No Code Snippets are available at this moment for dfc2020_baseline.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install dfc2020_baseline

You can download it from GitHub.
You can use dfc2020_baseline 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

Lukas Liebel (lukas.liebel@tum.de) Technical University of Munich Department of Aerospace and Geodesy Remote Sensing Technology Computer Vision Research Group https://www.bgu.tum.de/en/lmf/liebel. Jonathan Prexl (jonathan.prexl@tum.de) Technical University of Munich Department of Aerospace and Geodesy Signal Processing in Earth Observation https://www.sipeo.bgu.tum.de/team/jonathan-prexl GitHub: https://github.com/JonathanPrexl.

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