OCR-standard

by csjiangwm Python Version: Current License: No License

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

kandi X-RAY | OCR-standard Summary

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

OCR-standard

Support

Quality

Security

License

Reuse

Support

OCR-standard has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

OCR-standard has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OCR-standard is current.

Quality

OCR-standard has 0 bugs and 0 code smells.

Security

OCR-standard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

OCR-standard code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

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

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

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

It has 2949 lines of code, 238 functions and 44 files.

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

Top functions reviewed by kandi - BETA

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

Generate anchor layer
Compute the labels for the given anchors
Compute the target coordinates
Compute the weights for the given labels
Generate a proposal layer
Filter boxes by given size
Clips boxes
Transform boxes to invtables
Detect image
Setup the convolution layer
Decorator to define a layer
Write the VOC results file
Load the gtro annotation file
Loads checkpoint
Predict the image
Load selective search roidb
Detect text proposals
Setup the network
Returns a numpy array of text lines oriented by text proposals
Recognize image
Build classification loss
Locate CUDA
LSTM layer
Append flipped images
Convolutional layer
Recognize the given image

Get all kandi verified functions for this library.

OCR-standard Key Features

No Key Features are available at this moment for OCR-standard.

OCR-standard Examples and Code Snippets

No Code Snippets are available at this moment for OCR-standard.

Community Discussions

No Community Discussions are available at this moment for OCR-standard.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install OCR-standard

You can download it from GitHub.
You can use OCR-standard 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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