TRN-pytorch | Temporal Relation Networks

by zhoubolei Python Version: Current License: Non-SPDX

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

kandi X-RAY | TRN-pytorch Summary

TRN-pytorch is a Python library typically used in Utilities applications. TRN-pytorch has no bugs, it has no vulnerabilities and it has medium support. However TRN-pytorch build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Temporal Relation Networks

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Quality

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Support

TRN-pytorch has a medium active ecosystem.

It has 773 star(s) with 195 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 61 open issues and 27 have been closed. On average issues are closed in 49 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TRN-pytorch is current.

Quality

TRN-pytorch has 0 bugs and 0 code smells.

Security

TRN-pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TRN-pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TRN-pytorch 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.

Reuse

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

TRN-pytorch 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.

Top functions reviewed by kandi - BETA

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

Process a split file
Split a list
Perform the forward computation
Get the diff of the image
Compute softmax
Return a list of the categories
Compute the accuracy of the target
Render frames using prediction
Put iterations in frame
Parse a list of video records
Compute accuracy
Load video frames
Update the statistics
Takes a list of video files and creates it
Extract image from ffmpeg

Get all kandi verified functions for this library.

TRN-pytorch Key Features

No Key Features are available at this moment for TRN-pytorch.

TRN-pytorch Examples and Code Snippets

No Code Snippets are available at this moment for TRN-pytorch.

Community Discussions

Trending Discussions on TRN-pytorch

How to read video image from mkv file in python?

QUESTION

How to read video image from mkv file in python?

Asked 2020-Apr-14 at 12:03

I want to read each frame from a mkv file to loop over and apply my object detection algorithm. However i cant find any way to read the video from the mkv file.

I want a similar function to the imutils.video.FileVideoStream, but for mkv file.

vs = FileVideoStream('C:/Users/hedeg/Documents/TRN-pytorch/sample_data/Lift.mp4').start()

...

ANSWER

Answered 2020-Apr-14 at 12:03

It's possible imutils (and/or the underlying OpenCV library) doesn't know how to handle MKV containers even if the data contained within would be fine.

Assuming the MKV file contains data that OpenCV can read, you can just re-container the video (without re-encoding) into an .mp4 using e.g. ffmpeg:

Source https://stackoverflow.com/questions/61207149

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

Vulnerabilities

No vulnerabilities reported

Install TRN-pytorch

You can download it from GitHub.
You can use TRN-pytorch 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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