tfObjWebrtc | Tensorflow Object Detection API Web Service | Machine Learning library

by webrtcHacks Python Version: Current License: MIT

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

kandi X-RAY | tfObjWebrtc Summary

tfObjWebrtc is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. tfObjWebrtc has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However tfObjWebrtc has 1 bugs. You can download it from GitHub.

Tensorflow Object Detection API Web Service wrapper that works on any tag and WebRTC streams

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Quality

Security

License

Reuse

Support

tfObjWebrtc has a low active ecosystem.

It has 155 star(s) with 48 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. On average issues are closed in 171 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tfObjWebrtc is current.

Quality

tfObjWebrtc has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 8 code smells.

Security

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

tfObjWebrtc code analysis shows 0 unresolved vulnerabilities.

There are 6 security hotspots that need review.

License

tfObjWebrtc 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

tfObjWebrtc saves you 126 person hours of effort in developing the same functionality from scratch.

It has 317 lines of code, 11 functions and 10 files.

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

Top functions reviewed by kandi - BETA

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

Detects objects above a given threshold
Load an image into a numpy array
Get image from image data
Detect objects above threshold
Returns a list of objects

Get all kandi verified functions for this library.

tfObjWebrtc Key Features

No Key Features are available at this moment for tfObjWebrtc.

tfObjWebrtc Examples and Code Snippets

No Code Snippets are available at this moment for tfObjWebrtc.

Community Discussions

Trending Discussions on tfObjWebrtc

XmlHttpRequest request element is None

QUESTION

XmlHttpRequest request element is None

Asked 2020-Oct-09 at 21:49

I am using Django and trying to send webcam data using XMLHttpRequest to the background (view.py) in order to process each frame. I follow this link and most people suggest a similar method for my problem.

...

ANSWER

Answered 2020-Oct-09 at 19:51

You have to look in request.FILES for the image

Source https://stackoverflow.com/questions/64272668

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

Vulnerabilities

No vulnerabilities reported

Install tfObjWebrtc

Follow the TensorFlow Object API install instructions. Then run the the instructions above.

Support

WebRTC browsers have secure origin restrictions:. These should all work fine with any other video source. Edge is currently not supported (polyfill for canvas.toBlob needed). See the webrtcHacks link for details.

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