videoflow | Python framework that facilitates the quick development | Video Utils library

by videoflow Python Version: 0.2.10 License: MIT

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

kandi X-RAY | videoflow Summary

videoflow is a Python library typically used in Video, Video Utils, Deep Learning applications. videoflow has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install videoflow' or download it from GitHub, PyPI.

Videoflow is a Python framework for video stream processing. The library is designed to facilitate easy and quick definition of computer vision stream processing pipelines. It empowers developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. It contains off-the-shelf reference components for object detection, object tracking, human pose estimation, etc, and it is easy to extend with your own. The complete documentation to the project is located in docs.videoflow.dev.

Support

Quality

Security

License

Reuse

Support

videoflow has a highly active ecosystem.

It has 926 star(s) with 78 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 34 have been closed. On average issues are closed in 41 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of videoflow is 0.2.10

Quality

videoflow has 0 bugs and 0 code smells.

Security

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

videoflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

videoflow 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

videoflow releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

videoflow saves you 1206 person hours of effort in developing the same functionality from scratch.

It has 2718 lines of code, 275 functions and 59 files.

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

Top functions reviewed by kandi - BETA

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

Download a single video file
Extract a tar archive
Hash a file
Validates a file against a hash
Create and start and start the tasks
Run the pipeline
Helper function to get the task data from tsort_l
Allocate and start and start the process
Create and start and start new processes
Main thread
Consume messages
Updates a metric
Return a list of the number of available GPUs available
Process the image
Run the main loop
Apply filter to image
Transform an image
Process image
Segment the image
Compute the track of a given dets
Run the simulation
Configure the logger
Signal handler
Join all task processes
Wait for all the task processes
Publish a termination message

Get all kandi verified functions for this library.

videoflow Key Features

No Key Features are available at this moment for videoflow.

videoflow Examples and Code Snippets

How to read from video url or from usb camera using videoflow?

Python

Lines of Code : 27

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import videoflow
import videoflow.core.flow as flow
from videoflow.core.constants import REALTIME
from videoflow.producers import VideoDeviceReader
from videoflow.consumers import VideofileWriter

class FrameIndexSplitter(videoflow.core.no

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install videoflow

You can install directly using pip by doing pip3 install videoflow.
Clone this repository
Inside the repository folder, execute pip3 install . --user

Support

A tentative roadmap of where we are headed. If you have new processors, producers or consumers that you can to create, check the videoflow-contrib project. We want to keep videoflow succinct, clean, and simple, with as minimal dependencies to third-party libraries as necessaries. videoflow-contrib is better suited for adding new components that require new library dependencies.

Find more information at: