Human-detection-and-Tracking | Human-detection-and-Tracking | Computer Vision library

by ITCoders Python Version: 1.0 License: Apache-2.0

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

kandi X-RAY | Human-detection-and-Tracking Summary

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

Human-detection-and-Tracking

Support

Quality

Security

License

Reuse

Support

Human-detection-and-Tracking has a medium active ecosystem.

It has 816 star(s) with 301 fork(s). There are 64 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 35 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Human-detection-and-Tracking is 1.0

Quality

Human-detection-and-Tracking has no bugs reported.

Security

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

License

Human-detection-and-Tracking is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Human-detection-and-Tracking releases are available to install and integrate.

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

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

Top functions reviewed by kandi - BETA

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

Read images from a directory .
get images and labels from images
Visualize face and footers
Calculate the background subtours of a frame .
Given a list of faces and a set of faces returns a label for each face .
Draw faces on a frame .
Put labels on faces
Normalize data .
Detect people in a frame .
Detect face of a frame .

Get all kandi verified functions for this library.

Human-detection-and-Tracking Key Features

No Key Features are available at this moment for Human-detection-and-Tracking.

Human-detection-and-Tracking Examples and Code Snippets

No Code Snippets are available at this moment for Human-detection-and-Tracking.

Community Discussions

Trending Discussions on Human-detection-and-Tracking

how to use argument parser in jupyter notebook

QUESTION

how to use argument parser in jupyter notebook

Asked 2018-Jun-26 at 12:57

https://github.com/ITCoders/Human-detection-and-Tracking/blob/master/main.py This is the code I obtained for the human detection. I'm using anaconda navigator(jupyter notebook). How can I use argument parser in this? How can I give the video path -v ? Can anyone please say me a solution for this? As the running of the program is done by clicking on the run button or by giving shift+Enter. I need to do human detection. I'm a beginner to python and opencv. So please do help.

...

ANSWER

Answered 2018-Jun-26 at 12:57

What you are asking seems similar to: Passing command line arguments to argv in jupyter/ipython notebook

There are two different methods mentioned in the post that were helpful. That said, I would suggest using command line tools and a Python IDE for writing scripts to run machine learning models. IPython may be helpful for visualization, fast debugging or running pre-trained models on commonly available datasets.

Source https://stackoverflow.com/questions/51039271

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

Vulnerabilities

No vulnerabilities reported

Install Human-detection-and-Tracking

You can download it from GitHub.
You can use Human-detection-and-Tracking 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 .

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