DocParser

by DS3Lab Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | DocParser Summary

DocParser is a Python library. DocParser 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.

DocParser

Support

Quality

Security

License

Reuse

Support

DocParser has a low active ecosystem.

It has 46 star(s) with 11 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 81 days. There are 17 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DocParser is current.

Quality

DocParser has 0 bugs and 0 code smells.

Security

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

DocParser code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DocParser 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

DocParser 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.

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

It has 3445 lines of code, 180 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Plots a precision recall curve .
Evaluate detections .
Adjust row and column borders .
Generate XML for each page .
Get bounding boxes of ground truth boxes .
Initialize the image .
Creates all cells and assigns the coordinates of each cell in the annotations .
Get the bounding boxes for a file .
Ensures all child bboxes are unique
Create a structure for a detection result .

Get all kandi verified functions for this library.

DocParser Key Features

No Key Features are available at this moment for DocParser.

DocParser Examples and Code Snippets

No Code Snippets are available at this moment for DocParser.

Community Discussions

Trending Discussions on DocParser

Why do I get an error associated with PHP8 #[ApiResource()] attribute when using "php bin/console cache:clear"command in Symfony project?

Doctrine - Argument passed to __construct must be an array

Argument must be of type ?array, string given, called in doctrine/annotations/lib/Doctrine/Common/Annotations/DocParser.php Annotations/DocParser.php

Playing an embedded music file inside a docx in C# (Visual Studio 2019)

"xsi:type" attribute is changed to "type" c# xml document

Python: JSON to CSV

QUESTION

Why do I get an error associated with PHP8 #[ApiResource()] attribute when using "php bin/console cache:clear"command in Symfony project?

Asked 2021-Dec-09 at 04:34

I'm a rookie in development and it's my first time to use PHP8 attributes so I don't have a clue to guess the problem's orgin. :s

I'm trying to configure APIPlatform to determine which properties users can see associated with basic HTTP operations in my API project. For this, I'm using PHP8 attributes for ApiPlatform : #[ApiResource()] and #[Groups()].

I'm using PHP8 - Symfony 5.3 - VSCode 1.58.2 - Window 10

Problems :

It seems in the documentation that the HTTP Operations configure with normalizationContext are ok (as expected, PUT is no longer visible in my api documentation) but the properties are not affected (all the properties are still send when I'm doing a request). I assumed that serialization groups aren't working properly...
I tried to clear symfony cache with the command "php bin/console cache:clear". I received a message to tell me that I have a parse error in my #[ApiResource()] attribute but I can't find it.

Here my code :

...

ANSWER

Answered 2021-Aug-12 at 11:44

I manage to fix my problems... I don't know if somenone else could be interrested in the solution but just in case...

Problem 1 : normalization groups doesn't work :

By writing

Source https://stackoverflow.com/questions/68534734

QUESTION

Doctrine - Argument passed to __construct must be an array

Asked 2021-Oct-19 at 14:59

I just triying to create a new service when I find this error. When I try to list the doctrine commands avaiable it show me the next error:

Doctrine\ORM\Mapping\OneToMany::__construct() must be of the type array or null, string given, called in /var/www/html/vendor/doctrine/annotations/lib/Doctrine/Common/Annotations/DocParser.php

I try to reset the entity responsable of it without results. Here is the all trace:

...

ANSWER

Answered 2021-Oct-19 at 14:59

SOLVED - Searching, with time, and patient, I found an error on ORM notation. The composer json file was updated by a teammate, and with the new versión the cascade must to be with brackets, In one place it was the open but not closed.

Source https://stackoverflow.com/questions/69631148

QUESTION

Argument must be of type ?array, string given, called in doctrine/annotations/lib/Doctrine/Common/Annotations/DocParser.php Annotations/DocParser.php

Asked 2021-Sep-04 at 21:29

i don't understand my error on API Plateform.

Doctrine\ORM\Mapping\ManyToOne::__construct(): Argument #2 ($cascade) must be of type ?array, string given, called in /Users/charleslem/symfony/API-plateform-php-8/Api-plateform-php8-symfony5/vendor/doctrine/annotations/lib/Doctrine/Common/Annotations/DocParser.php on line 944.

What argument error talk. i don't have indication.

That my code:

First entity:

...

ANSWER

Answered 2021-Sep-04 at 21:29

In your annotations you define a ManyToOne relation and attempt to set the cascade option to a string value:

Source https://stackoverflow.com/questions/69058630

QUESTION

Playing an embedded music file inside a docx in C# (Visual Studio 2019)

Asked 2020-Aug-02 at 06:07

I'm still not much experienced with C#, and I'm having trouble reading a docx file. It contains a music file embedded and I don't know how to open the .docx file and play that music. I want to play this track. I don't have other options because there are like 360 similar files like this which I need to process I've tried to search but couldn't find anything. Here is the picture

EDIT: I've managed to find the audio file here, its an oleobject type. Now how do I save this to my disk?

...

ANSWER

Answered 2020-Aug-02 at 06:07

Answering my own question, this code helped me do the thing I wanted.

Source https://stackoverflow.com/questions/63193505

QUESTION

"xsi:type" attribute is changed to "type" c# xml document

Asked 2020-Jun-03 at 06:24

I'm using XMLDocument to create a XML file, but when i set an attribute to an element called "xsi:type" in the .xml generated file this attribute is changed to just "type".

This is the output that i'm expecting:

...

ANSWER

Answered 2020-Jun-03 at 06:24

Since you are adding xs, you need to specify the namespace which it represents.

Source https://stackoverflow.com/questions/62166208

QUESTION

Python: JSON to CSV

Asked 2020-Feb-06 at 14:25

I am receiving a JSON file from a Docparser API, which I would like to convert to a CSV document.

The structure is here below:

...

ANSWER

Answered 2020-Feb-06 at 14:25

Pandas has a nice built in function called pandas.json_noramlize() If you're using pandas version lower then 1.0.0 use pandas.io.json.json_normalize(), it should split the columns nicely. read more about it here:

>1.0.0: https://pandas.pydata.org/pandas-docs/version/0.22/generated/pandas.io.json.json_normalize.html

=<1.0.0 https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.json_normalize.html

Source https://stackoverflow.com/questions/60097120

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

Vulnerabilities

No vulnerabilities reported

Install DocParser

Tested for Ubuntu 18.04/20.04. Use of a GPU significantly speeds up generation of detection outputs, but it is possible to run the inference demo code on CPU.
Install anaconda. Up-to-date instructions can be found at: https://docs.anaconda.com/anaconda/install/
Set up python 3.6 environment: conda create -n docparser python=3.6
Activate the environment: source activate docparser
Install all requirements: pip install -r requirements.txt (for GPU-enabled installation: pip install -r requirements_gpu.txt)
Install Mask R-CNN library: We used a slightly modified version of https://github.com/matterport/Mask_RCNN, though the original version should still be usable, possibly with minor adaptions. Clone repository from https://github.com/j-rausch/Mask_RCNN Change into mask rcnn directory type python setup.py install
Install docparser: Change into DocParser directory type python setup.py develop
Prepare the datasets: Download arxivdocs-target from https://github.com/DS3Lab/arXivDocs To run the ICDAR demo, download the prepared files from: https://drive.google.com/file/d/1SdGTq80eUGqUJBA6kdVQBO9L6a_ijAcN/view?usp=sharing Extract datasets to the DocParser subdirectory (resulting in structure: DocParser/datasets).
Prepare the trained models: Download from URL: https://drive.google.com/file/d/1Hi4-tg4Zmtx8zYiCg6IBi47R88PdmAW4/view?usp=sharing Extract the pretrained models to the default_models subdirectory in DocParser/docparser/ (resulting in structure DocParser/docparser/default_models/). For convenience, we include the COCO pre-trained weights from from https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5 in the zip file
For running the ICDAR demo: Please note that, in order to run the ICDAR 2013 evaluation script provided by the competition organizers, a Java installation is necessary. We used openjdk 11.0.7 2020-04-14 in our experiments. If necessary, update permissions for the evaluation script (on linux systems): chmod a+x DocParser/docparser/utils/dataset-tools-20180206.jar
From the DocParser directory, execute: python demos/demo_inference.py plus one or more of the following command line arguments: --page --table --icdar e.g. python demos/demo_inference.py --page --table

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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