OpenSourceComputerVision | Open Source Computer Vision with TensorFlow MiniFi

by tspannhw Python Version: Current License: Non-SPDX

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

kandi X-RAY | OpenSourceComputerVision Summary

OpenSourceComputerVision is a Python library. OpenSourceComputerVision has no bugs, it has no vulnerabilities and it has low support. However OpenSourceComputerVision build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Open Source Computer Vision with TensorFlow, MiniFi, Apache NiFi, OpenCV, Apache Tika and Python For processing images from IoT devices like Raspberry Pis, NVidia Jetson TX1, NanoPi Duos and more which are equipped with attached cameras or external USB webcams, we use Python to interface via OpenCV and PiCamera. From there we run image processing at the edge on these IoT device using OpenCV and TensorFlow to determine attributes and image analytics. A pache MiniFi coordinates running these Python scripts and decides when and what to send from that analysis and the image to a remote Apache NiFi server for additional processing. At the Apache NiFi cluster in the cluster it routes the images to one processing path and the JSON encoded metadata to another flow. The JSON data (with it's schema referenced from a central Schema Registry) is routed and routed using Record Processing and SQL, this data in enriched and augment before conversion to AVRO to be send via Apache Kafka to SAM. Streaming Analytics Manager then does deeper processing on this stream and others including weather and twitter to determine what should be done on this data. Code used from Mask R-CNN by Matterport, Inc. (MIT-Licensed), with minor alterations and copyright notices retained. Copyright (c) 2018 Max Woolf.

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OpenSourceComputerVision has a low active ecosystem.

It has 37 star(s) with 13 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

OpenSourceComputerVision has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OpenSourceComputerVision is current.

Quality

OpenSourceComputerVision has 0 bugs and 0 code smells.

Security

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

OpenSourceComputerVision code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OpenSourceComputerVision has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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

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

Top functions reviewed by kandi - BETA

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

Creates a person block
Convert a string to RGB tuple
Get IP address
Creates a noise image
Run inference on an image
Create the graph from saved graph_def
Convert a node id to a string
Download and extract a tarball
Returns the IP address
Predict from a URL
Predict for a given image
Transform data to RGB
Return the CPU temperature
Generate a random word
Predict from a local file

Get all kandi verified functions for this library.

OpenSourceComputerVision Key Features

No Key Features are available at this moment for OpenSourceComputerVision.

OpenSourceComputerVision Examples and Code Snippets

No Code Snippets are available at this moment for OpenSourceComputerVision.

Community Discussions

No Community Discussions are available at this moment for OpenSourceComputerVision.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install OpenSourceComputerVision

You can download it from GitHub.
You can use OpenSourceComputerVision 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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