apitizer | OCR processing for official Covid-19 reports in Turkey | Computer Vision library

by incebellipipo Python Version: Current License: MIT

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

kandi X-RAY | apitizer Summary

apitizer is a Python library typically used in Artificial Intelligence, Computer Vision applications. apitizer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

OCR processing for official Covid-19 reports in Turkey

Support

Quality

Security

License

Reuse

Support

apitizer has a low active ecosystem.

It has 27 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of apitizer is current.

Quality

apitizer has 0 bugs and 0 code smells.

Security

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

apitizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

apitizer 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

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

Build file is available. You can build the component from source.

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

apitizer saves you 85 person hours of effort in developing the same functionality from scratch.

It has 219 lines of code, 21 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Main thread
Preprocess the image
Insert obj into the database
Return a single document
Update the database
Scale an image
Parse image
Get the results from the API
Update a document by id
Read text from image
Find the first image in the page
Read a number from the image
Fetch image from page
Insert or update the object
List all databases
Find documents
Gets the results from the API
Return the current instance

Get all kandi verified functions for this library.

apitizer Key Features

No Key Features are available at this moment for apitizer.

apitizer Examples and Code Snippets

No Code Snippets are available at this moment for apitizer.

Community Discussions

Trending Discussions on apitizer

How to build a nested array of objects without duplicates in javascript

QUESTION

How to build a nested array of objects without duplicates in javascript

Asked 2018-Jan-06 at 06:22

My requirement is, if I select a single category for the subscription on my client side, then I am sending that category details related to that category, and storing those in my backend with some id's and then pushing back to the client side to show those categories in one section to my user. So I will get an array of like below which is coming from my backend DB

...

ANSWER

Answered 2017-Aug-04 at 08:58

Here is a starter to what i think you are after.

Source https://stackoverflow.com/questions/45502041

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

Vulnerabilities

No vulnerabilities reported

Install apitizer

You can download it from GitHub.
You can use apitizer 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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