TracKit | Ocean : Object-aware Anchor-Free Tracking | Computer Vision library

by researchmm Python Version: tensorrt License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | TracKit Summary

TracKit is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. TracKit 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.

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

Support

Quality

Security

License

Reuse

Support

TracKit has a low active ecosystem.

It has 588 star(s) with 97 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 83 have been closed. On average issues are closed in 33 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TracKit is tensorrt

Quality

TracKit has 0 bugs and 0 code smells.

Security

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

TracKit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TracKit 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

TracKit releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

TracKit saves you 6465 person hours of effort in developing the same functionality from scratch.

It has 13747 lines of code, 903 functions and 153 files.

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

Top functions reviewed by kandi - BETA

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

Load a dataset
Track a video
Draw success plot
Train an oceanplus model
Print the progress
Connect this network to a device
Update the statistics
Train an ocean model
Forward computation
Displays the result of the tracker
Calculate and store the backbone features
Classify a feature
Extract backbone features from an image
Classify the target function
Crop image with given boxes
Evaluate the AUC
Helper function to build optimizer
Calculate a tracking mask for sub - windowing
Train the model
Compute the network
Run the optimizer
Evaluate the experiment
Creates a track of the image
Collect results from TPE
Draw F1 precision recall
Compute the fitness function

Get all kandi verified functions for this library.

TracKit Key Features

No Key Features are available at this moment for TracKit.

TracKit Examples and Code Snippets

No Code Snippets are available at this moment for TracKit.

Community Discussions

Trending Discussions on TracKit

How to remove the Scroll Bar in the body of the page in react js

Error using windows service that connects to TFS Server using a TFS Token

QUESTION

How to remove the Scroll Bar in the body of the page in react js

Asked 2021-Sep-30 at 18:38

I am stuck with a problem of unnecessary scroll in the page and i tried with various option like : Overflow:'hidden' but the problem is other JS component which are wrapped in the same class are looking good:

code with file name MapHome file:

...

ANSWER

Answered 2021-Sep-30 at 18:38

I have found the problem as the problem was with 3 vectors defined which were overflowing out of the page. I have adjusted the margin of those vectors and problem is solved.

Source https://stackoverflow.com/questions/69365775

QUESTION

Error using windows service that connects to TFS Server using a TFS Token

Asked 2020-Feb-11 at 02:15

Here is the scenario. I have written a windows service that connects to a project on a local TFS Server. I created a TFS Token and am using that to log into the project so I can add items to the project. I keep getting an error TF30063: You are not authorized to access https://..***/DefaultCollection

Anyone have any idea what I am missing on this?

...

ANSWER

Answered 2020-Feb-10 at 15:02

This works for me:

Source https://stackoverflow.com/questions/60151532

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

Vulnerabilities

No vulnerabilities reported

Install TracKit

You can download it from GitHub.
You can use TracKit 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: