hawk_eye | HawkEye- Course Project Page for CS 6476 : Computer Vision | Computer Vision library

by nihal111 Python Version: Current License: Non-SPDX

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

kandi X-RAY | hawk_eye Summary

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

HawkEye- Course Project Page for CS 6476: Computer Vision

Support

Quality

Security

License

Reuse

Support

hawk_eye has a low active ecosystem.

It has 19 star(s) with 6 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 151 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hawk_eye is current.

Quality

hawk_eye has 0 bugs and 0 code smells.

Security

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

hawk_eye code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hawk_eye has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

It has 3767 lines of code, 203 functions and 62 files.

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

Top functions reviewed by kandi - BETA

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

Display the current results
Save the document
Add html header text
Add images
This function transforms and shows the corners of the input image
Warp image onto canvas
Compute the bounds of the transformed corners
Warp an image
Renders and shows the corners of the image
Define a discriminator
Get a norm layer
Create a dataset
Creates a model instance
Add a text header to the document
Setup the scheduler
Create directories
Performs the optimization
Plot the current loss
Compute the distance between two points
Detects the background of an image
Define the network
Download dataset
Saves visuals to the webpage
Parse options
Print the current loss
Save all the networks
Modify commandline options
Optimizes the parameters

Get all kandi verified functions for this library.

hawk_eye Key Features

No Key Features are available at this moment for hawk_eye.

hawk_eye Examples and Code Snippets

No Code Snippets are available at this moment for hawk_eye.

Community Discussions

Trending Discussions on hawk_eye

Array won't print row data

QUESTION

Array won't print row data

Asked 2020-Oct-28 at 10:45

I got this simple PHP code to print a Column from a database and it isn't working unfortually. Any ideas on what to do right? I've tried to work on the while loop I have in the if statement but no luck
What im trying to get array to print like :

...

ANSWER

Answered 2020-Oct-28 at 02:49

You are doing it wrong, it should be

1. Selecting multiple rows

Source https://stackoverflow.com/questions/64565776

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

Vulnerabilities

No vulnerabilities reported

Install hawk_eye

You can download it from GitHub.
You can use hawk_eye 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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