speedtrack | OpenCV tool to count cars | Computer Vision library

by iandees Python Version: Current License: MIT

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

kandi X-RAY | speedtrack Summary

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

Python + OpenCV tool to count cars on the road in front of my house.

Support

Quality

Security

License

Reuse

Support

speedtrack has a low active ecosystem.

It has 61 star(s) with 18 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 1184 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speedtrack is current.

Quality

speedtrack has no bugs reported.

Security

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

License

speedtrack 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

speedtrack releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

get frame from vc

Get all kandi verified functions for this library.

speedtrack Key Features

No Key Features are available at this moment for speedtrack.

speedtrack Examples and Code Snippets

No Code Snippets are available at this moment for speedtrack.

Community Discussions

Trending Discussions on speedtrack

Google Analytics Page Speed Implementation

LiveSpeechRecognizer prints random words

QUESTION

Google Analytics Page Speed Implementation

Asked 2018-Sep-13 at 12:40

I am wondering how to implement correctly google analytics page speed measurements and how to change the sample size correctly: As seen below in the code box we currently Google analytics including eCommerce running on our site. Now I would like to also increase the sample sizeof speed tracking (the percentage of pageviews used for speedtracking, usually 1%) to 100% on our staging system.

As far as I understood I can do that by following this instructions. My question not is if I just add it to the existing create method in my analytics snippet or do I have to create another method below.

If I understood correctly I would now do this: replace

...

ANSWER

Answered 2018-Sep-13 at 12:40

Yes you need to replace the create statement on all pages. However sampleRate is the wrong option: this option defines the sample rate for Google Analytics as a whole. For sampling speed, you want to use siteSpeedSampleRate. As for the code, I would use the following:

Source https://stackoverflow.com/questions/52294491

QUESTION

LiveSpeechRecognizer prints random words

Asked 2017-Feb-13 at 08:15

My program is basically on speech to text. I am using LiveSpeechRecognizer CMU Sphinx. My program is running without any errors but its not printing words. I mean it prints random words from my grammar file.

I am using my Samsung mobile headphone as my Microphone

Code:

...

ANSWER

Answered 2017-Feb-13 at 08:15

Get proper microphone which records without noise.

Source https://stackoverflow.com/questions/42189484

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

Vulnerabilities

No vulnerabilities reported

Install speedtrack

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