alpr-unconstrained | License Plate Detection and Recognition in Unconstrained | Computer Vision library

by sergiomsilva C Version: Current License: Non-SPDX

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

kandi X-RAY | alpr-unconstrained Summary

alpr-unconstrained is a C library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. alpr-unconstrained has no bugs, it has no vulnerabilities and it has medium support. However alpr-unconstrained has a Non-SPDX License. You can download it from GitHub.

This repository contains the author's implementation of ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios".

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Quality

Security

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Support

alpr-unconstrained has a medium active ecosystem.

It has 1606 star(s) with 595 fork(s). There are 87 watchers for this library.

It had no major release in the last 6 months.

There are 105 open issues and 50 have been closed. On average issues are closed in 38 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of alpr-unconstrained is current.

Quality

alpr-unconstrained has 0 bugs and 127 code smells.

Security

alpr-unconstrained has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

alpr-unconstrained code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

alpr-unconstrained 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

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

Installation instructions, examples and code snippets are available.

alpr-unconstrained saves you 596 person hours of effort in developing the same functionality from scratch.

It has 1389 lines of code, 111 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Augment an image
R Find the matrix of the transformation matrix
Flip image coordinates
Transform a rotation matrix
Convert an annotation file
Write the polygon to a file
Convert box to square coordinates
Compute the loss
Computes the log loss
L1 loss
Read shapes from file
Read a line from a line
Run the algorithm
Write the polygon to file
Draw a label
Write shapes to file
Read a line from a line
Draw losangle lines
Return list of image files from folder
Given a list of Labels and a list of Labels returns a subset of the labels
Write labels to file
Get a batch of samples
Read a file
Crop a region of an image
Write image to image
Convert label to output map
Set the line spacing

Get all kandi verified functions for this library.

alpr-unconstrained Key Features

No Key Features are available at this moment for alpr-unconstrained.

alpr-unconstrained Examples and Code Snippets

No Code Snippets are available at this moment for alpr-unconstrained.

Community Discussions

Trending Discussions on alpr-unconstrained

No detection on googlecolab or Kaggle kernel

Numpy Array operation Y[ ..., 0]

QUESTION

No detection on googlecolab or Kaggle kernel

Asked 2020-Apr-29 at 12:16

I am creating an Automatic license plate recognition for Indian plates. I trained separate models for vehicle detection, license plate detection, and character recognition. I am trying to extract frames from video and process one at a time.

I am using the this darknet framework.

my code on github

The problem is whenever I run it on my local machine it works fine and gives the following output: see this image of output

...

ANSWER

Answered 2020-Apr-29 at 12:16

I somehow found the answer by myself. I modified the configuration file for all models.

Source https://stackoverflow.com/questions/61451603

QUESTION

Numpy Array operation Y[ ..., 0]

Asked 2020-Feb-18 at 12:58

Just a quick question,

I came across a NumPy array operation which is important for the code and i cannot understand what this does.

...

ANSWER

Answered 2020-Feb-18 at 12:58

In a 2d numpy array this should give you the first element of each nested list, so for example:

Source https://stackoverflow.com/questions/60280263

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

Vulnerabilities

No vulnerabilities reported

Install alpr-unconstrained

After building the Darknet framework, you must execute the "get-networks.sh" script. This will download all the trained models:.

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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