text-detection-ctpn | text detection mainly based on ctpn model | Computer Vision library

by eragonruan Python Version: untagged-48d74c6337a71b6b5f87 License: MIT

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

kandi X-RAY | text-detection-ctpn Summary

text-detection-ctpn is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow applications. text-detection-ctpn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

Support

Quality

Security

License

Reuse

Support

text-detection-ctpn has a medium active ecosystem.

It has 3354 star(s) with 1350 fork(s). There are 133 watchers for this library.

It had no major release in the last 12 months.

There are 287 open issues and 171 have been closed. On average issues are closed in 105 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of text-detection-ctpn is untagged-48d74c6337a71b6b5f87

Quality

text-detection-ctpn has 0 bugs and 0 code smells.

Security

text-detection-ctpn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

text-detection-ctpn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

text-detection-ctpn 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

text-detection-ctpn releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

text-detection-ctpn saves you 1152 person hours of effort in developing the same functionality from scratch.

It has 2601 lines of code, 155 functions and 43 files.

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

Top functions reviewed by kandi - BETA

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

Generate proposal layer
Transform boxes using invtables
Generate anchors
Generate a numpy array
Compute BSTM model
Subtract the mean image from images
LSTM function
BSTM layer
Compute the classification loss
Compute the target geometry
Transform boxes
Generate anchor layer
Returns a numpy array of text lines
Fits the points on the curve
List of connected sub - graphs
Builds the graph
Return a generator of num_workers
Get all training images
Generator for training images
Detect proposal proposals
Filter boxes that are less than min_score
Shrink a polygon poly
Resize an image
Clips boxes of image
Return list of images
Order the convex hull of a polygon

Get all kandi verified functions for this library.

text-detection-ctpn Key Features

No Key Features are available at this moment for text-detection-ctpn.

text-detection-ctpn Examples and Code Snippets

Training

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

python3 tools/trainval_net.py

tensorboard --logdir=./tensorboard

Community Discussions

Trending Discussions on text-detection-ctpn

Python process and overwrite external text file

QUESTION

Python process and overwrite external text file

Asked 2019-Aug-09 at 11:21

I have a input text file as follows, this is saved as 12.txt:

...

ANSWER

Answered 2019-Aug-09 at 11:20

You need to open temp file and read from file, remove old file and rename to new name

Source https://stackoverflow.com/questions/57428805

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

Vulnerabilities

No vulnerabilities reported

Install text-detection-ctpn

nms and bbox utils are written in cython, hence you have to build the library first. It will generate a nms.so and a bbox.so in current folder.

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 .

Find more information at: