PubLayNet | ICDAR 2019 : MaskRCNN on PubLayNet datasets | Computer Vision library

by phamquiluan Python Version: Current License: No License

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

kandi X-RAY | PubLayNet Summary

PubLayNet is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. PubLayNet has no bugs, it has no vulnerabilities and it has low support. However PubLayNet build file is not available. You can download it from GitHub.

PubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentations. For more information, see PubLayNet original.

Support

Quality

Security

License

Reuse

Support

PubLayNet has a low active ecosystem.

It has 155 star(s) with 33 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 9 have been closed. On average issues are closed in 68 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PubLayNet is current.

Quality

PubLayNet has 0 bugs and 0 code smells.

Security

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

PubLayNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PubLayNet 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

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

PubLayNet 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.

PubLayNet saves you 2083 person hours of effort in developing the same functionality from scratch.

It has 4559 lines of code, 239 functions and 35 files.

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

Top functions reviewed by kandi - BETA

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

Main worker function
Summarize the metrics
Synchronize the coo_eval
Evaluate the model
Get an instance segmentation model
Forward computation
Return True if the feature has a mask
Return True if the connection has a keypoint
Postprocess detection
Returns an instance segmentation model
Creates a coclayNet
Concatenate images
Calculate grid anchor points
Generate the labels for the given pdf
Get height and width
Add a mask to an image
Run a shell command
Displays an image
Construct MaskRCNN model
Compute a FasterRCNN model
Construct a KeypointNRNN model
Construct a MaskRCNN model
Construct a ResNetRCNN model
Overrides an annotation
Compute the RPN algorithm
Compute detection
Create a directory

Get all kandi verified functions for this library.

PubLayNet Key Features

No Key Features are available at this moment for PubLayNet.

PubLayNet Examples and Code Snippets

No Code Snippets are available at this moment for PubLayNet.

Community Discussions

Trending Discussions on PubLayNet

PyTorch throws OSError on Detectron2LayoutModel()

QUESTION

PyTorch throws OSError on Detectron2LayoutModel()

Asked 2021-Jul-17 at 07:12

I've been trying to read pdf pages as an image, for extraction purposes.

I found that layoutparser serves this purpose by identifying blocks of text. However, when I try to Create a Detectron2-based Layout Detection Model, I encounter the following error:

codeblock:

...

ANSWER

Answered 2021-Jun-29 at 15:22

The config.yaml basically only has configurations for the model as well as a URL for downloading the model weights. I'm not sure why it isn't automatically downloading for you, but you can also download them from the model zoo page: https://layout-parser.readthedocs.io/en/latest/notes/modelzoo.html

The one you're looking for is mask_rcnn_X_101_32x8d_FPN_3x trained on PubLayNet. Once you have downloaded the yaml file you can use the same code snippet, only changing the path.

Source https://stackoverflow.com/questions/68094922

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

Vulnerabilities

No vulnerabilities reported

Install PubLayNet

You can download it from GitHub.
You can use PubLayNet 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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