RPi3_NCS2 | Intel Neural Compute Stick 2 Running on RPI

by leswright1977 Python Version: Current License: Apache-2.0

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

kandi X-RAY | RPi3_NCS2 Summary

RPi3_NCS2 is a Python library typically used in Internet of Things (IoT), OpenCV, Raspberry Pi applications. RPi3_NCS2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However RPi3_NCS2 build file is not available. You can download it from GitHub.

Intel Neural Compute Stick 2 Running on RPI 3 with ~~Threading~~ Multiprocessing. These Scripts allow you to do Object detection on the Raspberry Pi 3B+ using the Intel Neural Compute stick. Examples are provided that make use of USB cameras or the PiCam. This pretty decent framerate was acheived by moving the blocking operation (net.forward()) is removed to a ~~thread~~ process, along with a bunch of related stuff(pre-processing the frame etc). Follow the instructions here to set up and configure your Pi:

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Quality

Security

License

Reuse

Support

RPi3_NCS2 has a low active ecosystem.

It has 37 star(s) with 14 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 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RPi3_NCS2 is current.

Quality

RPi3_NCS2 has 0 bugs and 0 code smells.

Security

RPi3_NCS2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RPi3_NCS2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RPi3_NCS2 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

RPi3_NCS2 releases are not available. You will need to build from source code and install.

RPi3_NCS2 has no build file. You will be need to create the build yourself to build the component from source.

RPi3_NCS2 saves you 7434 person hours of effort in developing the same functionality from scratch.

It has 15353 lines of code, 28 functions and 13 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed RPi3_NCS2 and discovered the below as its top functions. This is intended to give you an instant insight into RPi3_NCS2 implemented functionality, and help decide if they suit your requirements.

Classify a single frame .
Print the current screen height

Get all kandi verified functions for this library.

RPi3_NCS2 Key Features

No Key Features are available at this moment for RPi3_NCS2.

RPi3_NCS2 Examples and Code Snippets

No Code Snippets are available at this moment for RPi3_NCS2.

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 RPi3_NCS2

You can download it from GitHub.
You can use RPi3_NCS2 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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