label_generator | Training data generator for text detection | Machine Learning library

by domoritz Python Version: 1.2 License: BSD-3-Clause

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

kandi X-RAY | label_generator Summary

label_generator is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. label_generator has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However label_generator has 1 bugs. You can download it from GitHub.

Training data generator for text detection

Support

Quality

Security

License

Reuse

Support

label_generator has a low active ecosystem.

It has 38 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of label_generator is 1.2

Quality

label_generator has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 15 code smells.

Security

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

label_generator code analysis shows 0 unresolved vulnerabilities.

There are 6 security hotspots that need review.

License

label_generator is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

label_generator releases are available to install and integrate.

Build file is available. You can build the component from source.

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

label_generator saves you 171 person hours of effort in developing the same functionality from scratch.

It has 423 lines of code, 17 functions and 7 files.

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

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label_generator Key Features

No Key Features are available at this moment for label_generator.

label_generator Examples and Code Snippets

Text detection in screen images with a Convolutional Neural Network ,Generate training data,AWS instructions

Python

Lines of Code : 48

License : Permissive (BSD-3-Clause)

Copy

# use tmux (maybe with attach)
tmux

sudo apt-get update
sudo apt-get install git python-pip python-opencv python-numpy python-scipy python-matplotlib ghostscript libmagickwand-dev libfreetype6 parallel

git clone https://github.com/domoritz/label_ge

Text detection in screen images with a Convolutional Neural Network

Python

Lines of Code : 13

License : Permissive (BSD-3-Clause)

Copy

@article{Moritz2017,
  doi = {10.21105/joss.00235},
  url = {https://doi.org/10.21105/joss.00235},
  year = {2017},
  month = jul,
  publisher = {The Open Journal},
  volume = {2},
  number = {15},
  pages = {235},
  author = {Dominik Moritz},
  titl

Text detection in screen images with a Convolutional Neural Network ,Train the neural network

Python

Lines of Code : 11

License : Permissive (BSD-3-Clause)

Copy

import sys
import os.path

with open(sys.argv[1]) as f:
        for fname in f:
                fname = fname.strip()
                if not os.path.isfile(fname):
                        print fname
                lname = fname[:-4] + "-label.png"

Community Discussions

Trending Discussions on label_generator

Zend3 Form Filter - ParamConverter could not generate valid form

ZF2 + Doctrine2 - Fieldset in Fieldset of a Collection in Fieldset does not validate properly

Split a generator, process independently and zip again

QUESTION

Zend3 Form Filter - ParamConverter could not generate valid form

Asked 2018-Nov-21 at 10:56

I'm really confused about my Form Filter.

My Test-Project contains 2 Models.

...

ANSWER

Answered 2018-Nov-21 at 10:56

Have you checked the documentation for ObjectSelect? You appear to be missing a few options, namely which hydrator (EntityManager) and identifying property (id) to use. Have a look here.

Example:

Source https://stackoverflow.com/questions/53394661

QUESTION

ZF2 + Doctrine2 - Fieldset in Fieldset of a Collection in Fieldset does not validate properly

Asked 2017-Jul-13 at 14:18

I asked a similar question a while ago, which came down to the structuring of the Forms, Fieldsets and InputFilters.

I've been thoroughly applying the principle of separation of concerns to split up Fieldsets from InputFilters as the modules they're created in will also be used in an API (Apigility based), so I would need only Entities and InputFilters.

However, I now have a problem that when I have a Fieldset, used by a Fieldset, used in a Collection in a Fieldset, that the inner-most Fieldset does not validate.

Let me elaborate with examples, and code!

The situation is that I want to be able to create a Location. A Location consists of a property name and a OneToMany ArrayCollection|Address[] association. This is because a Location could have multiple addresses (such as a visitors address and a delivery address).

An Address consists of a few properties (street, number, city, Country, etc.) and a OneToOne Coordinates association.

Now, Address has the below Fieldset:

...

ANSWER

Answered 2017-Jul-13 at 14:18

After another day of debugging (and swearing), I found the answer!

This SO question helped me out by pointing me towards the Zend CollectionInputFilter.

Because the AddressFieldset is added to the LocationFieldset within a Collection, it must be validated using a CollectionInputFilter which has the specific InputFilter for the Fieldset specified.

To fix my application I had to modify both the LocationFieldsetInputFilter and the LocationFieldsetInputFilterFactory. Below the updated code, with the old code in comments.

LocationFieldsetInputFilterFactory.php

Source https://stackoverflow.com/questions/45057551

QUESTION

Split a generator, process independently and zip again

Asked 2017-Mar-04 at 00:09

how would I do this?

...

ANSWER

Answered 2017-Mar-03 at 20:47

Use tee to duplicate the original generator, then split one of the copies to get just the data.

Source https://stackoverflow.com/questions/42587801

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

Vulnerabilities

No vulnerabilities reported

Install label_generator

You can download it from GitHub.
You can use label_generator 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.