FairMOTVehicle | FairMOT used to do vehicle MOT

by CaptainEven Python Version: Current License: MIT

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

kandi X-RAY | FairMOTVehicle Summary

FairMOTVehicle is a Python library. FairMOTVehicle has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A fork of FairMOT used to do vehicle MOT(multi-object tracking). You can refer to origin fork FairMOT link. UA_DETRAC是一个公开的车辆跟踪数据集, 共8万多张训练数据集，每一张图的每一辆车都经过了精心的标注。 UA-DETRAC benchmark link.

Support

Quality

Security

License

Reuse

Support

FairMOTVehicle has a low active ecosystem.

It has 169 star(s) with 34 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 4 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FairMOTVehicle is current.

Quality

FairMOTVehicle has 0 bugs and 0 code smells.

Security

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

FairMOTVehicle code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FairMOTVehicle 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

FairMOTVehicle 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.

Top functions reviewed by kandi - BETA

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

Run the main function
Run a single epoch
Construct a DataParallel object
Set the model to the given device
Generate labels
Write text to the log file
Redraw the given image
Build target tensor
Return the first unique index in uv
Parse arguments
Preprocess src_root
Create a convolution layer
Clean training set
Compute a predicted prediction for a prediction
Update the covariance matrix
Generate a dot train file
Fuzzy fuse motion
Create a stage
Draw a dense regmap
Compute the precision - recall curve
Run the task
Draws a heatmap using a given radius
Calculate the cost matrix for a gate
Write text to file
Helper function for parallel_apply
Plots an image
Evaluate a sequence of images

Get all kandi verified functions for this library.

FairMOTVehicle Key Features

No Key Features are available at this moment for FairMOTVehicle.

FairMOTVehicle Examples and Code Snippets

No Code Snippets are available at this moment for FairMOTVehicle.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FairMOTVehicle

You can download it from GitHub.
You can use FairMOTVehicle 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 .

Find more information at: