OCR_DataSet | organize data sets related to OCR and unify the labeling

by WenmuZhou Python Version: Current License: No License

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

kandi X-RAY | OCR_DataSet Summary

OCR_DataSet is a Python library. OCR_DataSet has no bugs, it has no vulnerabilities and it has low support. However OCR_DataSet build file is not available. You can download it from GitHub.

Collect and organize data sets related to OCR and unify the labeling format for experimental needs

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Quality

Security

License

Reuse

Support

OCR_DataSet has a low active ecosystem.

It has 737 star(s) with 178 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 3 have been closed. On average issues are closed in 50 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OCR_DataSet is current.

Quality

OCR_DataSet has 0 bugs and 70 code smells.

Security

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

OCR_DataSet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OCR_DataSet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

OCR_DataSet saves you 454 person hours of effort in developing the same functionality from scratch.

It has 1073 lines of code, 60 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Crop a GeoJSON file
Transform a shapely polygon
This function transforms from 4 - point coordinates
Load a GTG file
Convert a json file into a PNG image
Get a list of files in a folder
Load data from file
Save data to file
Create a dataset
Check if image is valid
Write the cache to the env
Show a COCO text
Visualize annotations
Generate a list of all the image files
Convert a ct file into a visual representation
Load COCO_Text
Show bounding box on an image
Load a GTK file into a dictionary
Load data from a JSON file
Concatenate transcript transcription

Get all kandi verified functions for this library.

OCR_DataSet Key Features

No Key Features are available at this moment for OCR_DataSet.

OCR_DataSet Examples and Code Snippets

No Code Snippets are available at this moment for OCR_DataSet.

Community Discussions

Trending Discussions on OCR_DataSet

Run same script in different threads python

QUESTION

Run same script in different threads python

Asked 2020-Aug-24 at 04:22

i have a script that recognize plates from camera, and now i need the same script to recognize from other camera so in short it needs to recognize from two cameras at once ,i am using Tensoflow/keras and YOLO object detection , can someone suggest sollution to this , i tried with different threads but i could not start the second thread , i will post what i have tried

...

ANSWER

Answered 2020-Aug-23 at 19:20

target= in Thread needs function's name without () and arguments - and it will later use () to start it.

Your current code doesn't run functions in threads but it works like

Source https://stackoverflow.com/questions/63548409

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

Vulnerabilities

No vulnerabilities reported

Install OCR_DataSet

You can download it from GitHub.
You can use OCR_DataSet 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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