Tracking-Turret | A motion tracking turret | Computer Vision library

by HackerShackOfficial Python Version: Current License: No License

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

kandi X-RAY | Tracking-Turret Summary

Tracking-Turret is a Python library typically used in Artificial Intelligence, Computer Vision applications. Tracking-Turret has no bugs, it has no vulnerabilities and it has low support. However Tracking-Turret build file is not available. You can download it from GitHub.

A motion tracking turret.

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Quality

Security

License

Reuse

Support

Tracking-Turret has a low active ecosystem.

It has 125 star(s) with 51 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tracking-Turret is current.

Quality

Tracking-Turret has 0 bugs and 0 code smells.

Security

Tracking-Turret has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Tracking-Turret code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Tracking-Turret does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Tracking-Turret has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Tracking-Turret saves you 108 person hours of effort in developing the same functionality from scratch.

It has 275 lines of code, 15 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

find motion based on callback
make the contour
Start interactive interactive mode .
Calibrate y - axis
Calibrate the x axis .
Create a live video .
Context manager for raw mode .
Find the contour of a given image mask .

Get all kandi verified functions for this library.

Tracking-Turret Key Features

No Key Features are available at this moment for Tracking-Turret.

Tracking-Turret Examples and Code Snippets

No Code Snippets are available at this moment for Tracking-Turret.

Community Discussions

Trending Discussions on Tracking-Turret

usage of findContours causes ValueError: not enough values to unpack (expected 3, got 2)

QUESTION

usage of findContours causes ValueError: not enough values to unpack (expected 3, got 2)

Asked 2021-Dec-29 at 15:45

I am working with RaspberryPi 3 I am trying to run This code which shows below error

...

ANSWER

Answered 2021-Dec-29 at 07:46

This is a version change. Prior to OpenCV 4.4, findCounters did return three things. Newer versions return 2: contours and hierarchy.

https://docs.opencv.org/4.4.0/d3/dc0/group__imgproc__shape.html#gadf1ad6a0b82947fa1fe3c3d497f260e0

Source https://stackoverflow.com/questions/70516372

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

Vulnerabilities

No vulnerabilities reported

Install Tracking-Turret

Make sure pip is installed. Setup I2C on your Raspberry Pi. Install the Adafruit stepper motor HAT library. Install OpenCV 3. Follow all steps for python 2.7 instructions. Make sure to create your virtual environment with the extra flag. Source your bash profile. Activate your virtual environment. Navigate to the directory. Install dependencies to your virtual environment.

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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