deepvision | Easy to use , open source computer vision library for python | Computer Vision library

by Lynchez Python Version: 0.0.36 License: MIT

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

kandi X-RAY | deepvision Summary

deepvision is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. deepvision has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install deepvision' or download it from GitHub, PyPI.

A simple, high level, easy-to-use open source Computer Vision library for Python.

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Quality

Security

License

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Support

deepvision has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

deepvision has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deepvision is 0.0.36

Quality

deepvision has no bugs reported.

Security

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

License

deepvision 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

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

Deployable package is available in PyPI.

Build file is available. You can 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 deepvision and discovered the below as its top functions. This is intended to give you an instant insight into deepvision implemented functionality, and help decide if they suit your requirements.

Detect common objects
Download a file from a URL
Retrieve the class labels from the Yolov3 class
Get the list of output layers
Tracks the boxes
Predict on all tracks
Update the track set
Calculate the cost of matching tracks
N - euclidean distance between two points
Compute the distance between two matrices
Compute the cosine distance between two points
Cosine distance between two vectors
Calculates the cost of the cost of a track
Compute the intersection of two bounding boxes
Compute the Gating distance between the given covariance matrix
Projects the covariance matrix
Detect gender of a face
Creates a function to create a network
Draw a bounding box
Convert to TLBR
Create an image encoder for images
Parse command line arguments
Detect the objects in the image
Detects objects from an image
Detect the face of the image
Generate detections

Get all kandi verified functions for this library.

deepvision Key Features

No Key Features are available at this moment for deepvision.

deepvision Examples and Code Snippets

No Code Snippets are available at this moment for deepvision.

Community Discussions

Trending Discussions on deepvision

Running Cypress in Bitbucket pipelines fails looking for chrome

QUESTION

Running Cypress in Bitbucket pipelines fails looking for chrome

Asked 2019-Apr-29 at 17:38

I have no idea why it tries to run Chrome instead of Electron based browser. Could be a Percy culprit here?

...

ANSWER

Answered 2019-Apr-29 at 17:38

With the help from Percy support, this issue is overcome by using the image cypress/browsers:chrome67-ff57.

Source https://stackoverflow.com/questions/55901367

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

Vulnerabilities

No vulnerabilities reported

Install deepvision

You can install using 'pip install deepvision' or download it from GitHub, PyPI.
You can use deepvision 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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