keras-ocr | 中文OCR单字识别 keras实现

by buyizhiyou Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | keras-ocr Summary

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

中文OCR单字识别 keras实现

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Quality

Security

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Support

keras-ocr has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of keras-ocr is current.

Quality

keras-ocr has no bugs reported.

Security

keras-ocr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

keras-ocr 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

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

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

Top functions reviewed by kandi - BETA

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

Builds a convolution layer .
Build a shallow weight layer .
Build a shallow image .
Builds CNN .
load image data
Build a CNN model .
Train the model .
Infer a CNN .
Test the accuracy of the model .
Create a random correction for the given preds .

Get all kandi verified functions for this library.

keras-ocr Key Features

No Key Features are available at this moment for keras-ocr.

keras-ocr Examples and Code Snippets

No Code Snippets are available at this moment for keras-ocr.

Community Discussions

Trending Discussions on keras-ocr

Issues in Keras-Ocr Running in GCP VM Notebook

Keras_ocr - Failed to recognize_from_boxes

Rearranging License Plate characters based on country

QUESTION

Issues in Keras-Ocr Running in GCP VM Notebook

Asked 2022-Feb-03 at 19:33

Im running Keras-OCR implementation from the following repository in the Notebook created in GCP VM

https://github.com/faustomorales/keras-ocr

The call to prediction_groups = pipeline.recognize(images) kills the Kernel. The error about Kernel has died is thrown.

The GCP VM is : Version: common-cu113.m87 Based on: Debian GNU/Linux 10 (buster) (GNU/Linux 4.19.0-18-cloud-amd64 x86_64\n)

Can you suggest on how it that to fix this issue?

...

ANSWER

Answered 2022-Feb-03 at 19:33

The issue was with opencv version. I had latest version which is 5.5.5. It worked when downgraded the version to 4.4

Source https://stackoverflow.com/questions/70968945

QUESTION

Keras_ocr - Failed to recognize_from_boxes

Asked 2021-Sep-29 at 20:06

I am working with the keras_ocr recognizer and I want it to scan only inside the bounding boxes which I already selected. The API supports this kind of opperation with recognize_from_boxes Just so you know: keras_ocr documentation.

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ANSWER

Answered 2021-Sep-29 at 20:06

In API documentation it mentions that box_groups should be A list of groups of boxes, one for each image which means it assumes there might be many boxes in a single image but your input is only a list on boxes. If you have only one box per image then you can do it this way -

Source https://stackoverflow.com/questions/69382202

QUESTION

Rearranging License Plate characters based on country

Asked 2021-Aug-12 at 21:00

I am doing a License/Number plate recognition project and I'm on the stage of completion but there is a small problem, I have successfully recognized the characters, consider the below example:

This is an input image, I got the prediction as 2791 2g rj14

As you can, the ocr did a great job but the arrangement is destroyed (DESTROYING the whole purpose). Sometimes it does outputs in the correct sequence but sometimes it does not, so when it does not output in the correct sequence I'm trying to develop an algorithm which will take the predicted num_plate string as input and rearrange it on the basis of my country (India).

Below are some images which tell us about the format of Indian Number/License Plate.

Also, I have collected all the states but for right now, I just want to do for only the 3 states which are: Delhi (DL), Haryana (HR), UttarPradesh (UP). More info : https://en.wikipedia.org/wiki/List_of_Regional_Transport_Office_districts_in_India

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ANSWER

Answered 2021-Aug-12 at 21:00

If you can get the coordinates of each identified text box, then:

Rotate the coordinates so the boxes are parallel with the X-axis
Scale the Y-coordinates so they can be rounded to integers, so that boxes that are side-by-side will get the same integer Y-coordinate (like a line number)
Sort the data by Y, then X coordinate
Extract the texts in that order

Here is an example of such sequence:

Source https://stackoverflow.com/questions/68757237

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

Vulnerabilities

No vulnerabilities reported

Install keras-ocr

You can download it from GitHub.
You can use keras-ocr 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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