hass-tensorflow | Home Assistant TensorFlow 2 Object Detection setup

by hunterjm Python Version: Current License: No License

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

kandi X-RAY | hass-tensorflow Summary

hass-tensorflow is a Python library typically used in Internet of Things (IoT), Tensorflow applications. hass-tensorflow has no bugs, it has no vulnerabilities and it has low support. However hass-tensorflow build file is not available. You can download it from GitHub.

Home Assistant TensorFlow 2 Object Detection setup

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Quality

Security

License

Reuse

Support

hass-tensorflow has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

hass-tensorflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hass-tensorflow is current.

Quality

hass-tensorflow has 0 bugs and 0 code smells.

Security

hass-tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hass-tensorflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hass-tensorflow 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

hass-tensorflow releases are not available. You will need to build from source code and install.

hass-tensorflow 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.

It has 98294 lines of code, 5001 functions and 436 files.

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

Top functions reviewed by kandi - BETA

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

Performs a batch - wise batch loss on the given boxes
Compute class diagnostics
Helper method to prune boxes from sorted boxes
Validate the boxes scores field
Build a preprocessor
Build a score converter
Builds a ClassRCNN box predictor
Builds a Convolutional box predictor
Random crop
Compute loss
Crops the given image
Build Keras
Postprocessing
Convert dict to tf example
Create node configuration
Flip image
Batch assignment
Process an image
Generate multi resolution feature maps for multi resolution
Deserialize a tf Example
Exports a TFLite graph
Train a training loop
Resolutional network
Train a model
Transform the input tensor
Build raster model

Get all kandi verified functions for this library.

hass-tensorflow Key Features

No Key Features are available at this moment for hass-tensorflow.

hass-tensorflow Examples and Code Snippets

No Code Snippets are available at this moment for hass-tensorflow.

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 hass-tensorflow

You can download it from GitHub.
You can use hass-tensorflow 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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