BSDS500 | Mirror of the Berkeley Segmentation Data Set | Machine Learning library

by BIDS C++ Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | BSDS500 Summary

BSDS500 is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. BSDS500 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The goal of this work is to provide an empirical basis for research on image segmentation and boundary detection. In order to promote scientific progress in the study of visual grouping, we provide the following resources:. This is a mirror of the January 2013 update.

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Support

BSDS500 has a low active ecosystem.

It has 48 star(s) with 21 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BSDS500 is current.

Quality

BSDS500 has no bugs reported.

Security

BSDS500 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

BSDS500 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

BSDS500 releases are not available. You will need to build from source code and install.

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BSDS500 Key Features

No Key Features are available at this moment for BSDS500.

BSDS500 Examples and Code Snippets

No Code Snippets are available at this moment for BSDS500.

Community Discussions

Trending Discussions on BSDS500

How can use BSDS500 benchmark?

Tensorflow Reshape error with custom pooling/unpooling layer

QUESTION

How can use BSDS500 benchmark?

Asked 2019-Nov-06 at 10:39

I want to use the Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500) for my segmentation algorithm.

When I run build.m in the source files, I get an error about "sys/times.h doesn't exist in MSVC". There is also another header file that needs ieee754.h.

I googled a lot and find that running the code on Linux may could help, But I doubt. Now I have some questions:

Is there a way to use sys/times.h and ieee754.h in Windows? Does MinGW have these header files?
Has someone run BSDS500 benchmark on windows? How?

...

ANSWER

Answered 2019-Jan-14 at 18:09

The code that comes with BSDS500 is written for MATLAB on Linux or MacOS (these are the POSIX-compatible systems that MATLAB runs on).

If you are on Windows, you can try to use Cygwin to build these binaries. Cygwin adds a POSIX layer in Windows. MinGW by itself doesn't do this, it only provides the GNU tools on Windows. The file sys/times.h is defined in the POSIX standard.

But, IMO, you're better off switching to Linux. Not just for BSDS500, but for everything else too... :)

Source https://stackoverflow.com/questions/54181572

QUESTION

Tensorflow Reshape error with custom pooling/unpooling layer

Asked 2018-Nov-24 at 20:26

I am trying to implement a smaller scale version of SegNet described in this paper (https://arxiv.org/pdf/1511.00561.pdf), but I'm trying to tailor it towards detecting edges

Dataset: I am using the BSDS500 boundary dataset, I cropped and rotated the images so their sizes are 320x480x3 instead of 321x481x3

Input shapes, 200 training images and 100 validation images:

...

ANSWER

Answered 2018-Nov-24 at 20:26

Found the problem, mask_1 has 32 channels while unpool_2 is trying to reshape output with 64 channels. I just re-arranged stuff so the depths lined up.

Source https://stackoverflow.com/questions/53392793

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

Vulnerabilities

No vulnerabilities reported

Install BSDS500

You can download it from GitHub.

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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