Deep-Object-Removal | Using cGANs to remove objects from a photo | Machine Learning library

by VPanjeta Python Version: Current License: Apache-2.0

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

kandi X-RAY | Deep-Object-Removal Summary

Deep-Object-Removal is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. Deep-Object-Removal 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.

This project is an implementation of cGANs discussed in the paper for [General Image Completion] The models are tweaked a little and implemented to remove objects from images and reconstruct the image without the object.

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Support

Deep-Object-Removal has a low active ecosystem.

It has 69 star(s) with 17 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Deep-Object-Removal is current.

Quality

Deep-Object-Removal has 0 bugs and 0 code smells.

Security

Deep-Object-Removal has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Deep-Object-Removal code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Deep-Object-Removal is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

Deep-Object-Removal 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, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Build adversarial layer
Batch normalization
Create a new FC layer
A leaky_relu
Builds the reconstruction
Creates a new convolution layer
Resizes a convolution layer

Get all kandi verified functions for this library.

Deep-Object-Removal Key Features

No Key Features are available at this moment for Deep-Object-Removal.

Deep-Object-Removal Examples and Code Snippets

No Code Snippets are available at this moment for Deep-Object-Removal.

Community Discussions

Trending Discussions on Deep-Object-Removal

Finger detection and removal in document image

QUESTION

Finger detection and removal in document image

Asked 2020-Apr-05 at 18:22

I'd like to detect fingers in the image and remove them for book scanning. I have searched for finger detection and object removal projects but none of them could easily be applied or the results were not good. So, I might have to start writing my own code..

Could you recommend useful algorithms for the below items? I think,

1) Drawing a contour (including shadows)

2) Select the finger region

3) Context-aware-fill where the finger was

I tried, https://github.com/VPanjeta/Deep-Object-Removal

Thanks in advance

Finger image

...

ANSWER

Answered 2020-Apr-05 at 08:28

1.color segmentation for selecting finger 2.clear border (with finger) like Matlab imclearborder. https://www.mathworks.com/help/images/ref/imclearborder.html

Source https://stackoverflow.com/questions/61039571

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

Vulnerabilities

No vulnerabilities reported

Install Deep-Object-Removal

To install the dependencies type.

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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