table-detect | table detect , table line

by chineseocr Python Version: Current License: MIT

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

kandi X-RAY | table-detect Summary

table-detect is a Python library. table-detect 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.

links: models weights download and move to ./modes.

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Quality

Security

License

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Support

table-detect has a low active ecosystem.

It has 97 star(s) with 40 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 1 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of table-detect is current.

Quality

table-detect has no bugs reported.

Security

table-detect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

table-detect 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

table-detect 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.

Top functions reviewed by kandi - BETA

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

Generate images
Fill lines in image
Get random data
Get image label
Compute the table of all boxes in the image
Draws a set of bboxes
Rotate a box
Computes the minimum area of a list of regions
Generate a table line
R Given a list of r rows and a list of rows and columns adjust the corresponding line
Find the minimum area of a list of coordinates
Returns a list of lines that are within the given axis
Performs a table detection on the input image
Fixing boxes for a table line
Convert boxes to NMS boxes
Detect the boxes of the image
Perform table detection of a given image
Build table
Convert to excel format
Calculate the correlation matrix
Calculate the correlation between two lines
Calculate the degree of the image
Convolutional table
Make a rectangle on the image
Draw a list of bounding boxes
Draw boxes of bboxes

Get all kandi verified functions for this library.

table-detect Key Features

No Key Features are available at this moment for table-detect.

table-detect Examples and Code Snippets

No Code Snippets are available at this moment for table-detect.

Community Discussions

Trending Discussions on table-detect

Python OpenCV cv2.threshold is not finding straight horizontal lines/rows in image (jpg)

QUESTION

Python OpenCV cv2.threshold is not finding straight horizontal lines/rows in image (jpg)

Asked 2020-Jul-27 at 14:01

I have a .jpg containing an image of a table which I am attempting to extract to Excel, using Python.

I am following an example from here:

https://towardsdatascience.com/a-table-detection-cell-recognition-and-text-extraction-algorithm-to-convert-tables-to-excel-files-902edcf289ec

I have hit a problem though, where the horizontal rows are not being identified. In the source image (above) you can see that the horizontal rows are much lighter than the vertical columns, but they are visible in the source and I believe they should still be detected.

I have altered the cv2.threshold value almost every way I can think of, but still this has no affect on the returned image (see below):

thresh, img_bin = cv2.threshold(img, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
thresh, img_bin = cv2.threshold(img, 0, 256, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

Results in the same image:

...

ANSWER

Answered 2020-Jul-27 at 14:01

You must loose cv2.THRESH_OTSU to be able to adjust the threshold value manually. Also you can use cv2.THRESH_BINARY_INV to invert the binary image. Some lines are too light to be detected without jpeg noise.

Source https://stackoverflow.com/questions/63115214

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

Vulnerabilities

No vulnerabilities reported

Install table-detect

You can download it from GitHub.
You can use table-detect 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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