torchrs | PyTorch implementation of popular datasets

by isaaccorley Python Version: 0.0.4 License: MIT

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

kandi X-RAY | torchrs Summary

torchrs is a Python library typically used in Internet of Things (IoT), Deep Learning, Pytorch applications. torchrs 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 torchrs' or download it from GitHub, PyPI.

(WIP) PyTorch implementation of popular datasets and models in remote sensing tasks (Change Detection, Image Super Resolution, Land Cover Classification/Segmentation, Image Captioning, Audio-visual recognition etc.) for various Optical (Sentinel-2, Landsat, etc.) and Synthetic Aperture Radar (SAR) (Sentinel-1) sensors.

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Quality

Security

License

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Support

torchrs has a low active ecosystem.

It has 235 star(s) with 38 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 4 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of torchrs is 0.0.4

Quality

torchrs has 0 bugs and 0 code smells.

Security

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

torchrs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

torchrs 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

torchrs 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.

It has 1513 lines of code, 137 functions and 35 files.

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

Top functions reviewed by kandi - BETA

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

Set up the ProBAV
Splits a dataset into two datasets
Initialize hyperparameters
Set up the train and test datasets
Set up the train dataset
Set up the training and test datasets
Setup the patternNet
Set up the segmentation
Set up the dataset
Set up the UCM dataset
Setup the dataset
Sets up the khglacier mappings
Setup the FAIR1M dataset
Setup S2MTCP
Initialize the model
Set up the training dataset
Set up train and test datasets

Get all kandi verified functions for this library.

torchrs Key Features

No Key Features are available at this moment for torchrs.

torchrs Examples and Code Snippets

No Code Snippets are available at this moment for torchrs.

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 torchrs

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