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Scilab Computer Vision Module

Interface to the Computer Vision library OpenCV

(31051 downloads for this version - 88466 downloads for all versions)

Details

Version

0.4
A more recent valid version exists: 0.6.2

Author

Simon Marchetto (simon.marchetto@scilab-enterprises.com)

Owner Organization

Scilab Enterprises

Maintainers

Simon MARCHETTO

Administrator ATOMS

Antoine ELIAS

Category

Image Processing

Website

http://forge.scilab.org/index.php/p/scicv/

License

Creative Commons Attribution-Share Alike (3.0)

Creation Date

July 27, 2017

Source created on

Scilab 6.0.x

Binaries available on

Scilab 6.0.x:

macOS

Linux 64-bit

Windows 64-bit

Install command

--> atomsInstall("scicv")

Report a bug

GitLab's issues for scicv

Description

            Scilab Computer Vision Module (scicv) is the Scilab interface to the OpenCV
library (in version 2.4.13 in this version of the toolbox).

The purpose of this toolbox is to provide an access to all the functions and
objects of OpenCV in Scilab.

The following feature domains are (or will be) covered:
  - I/O and GUI (OpenCV module highgui)
  - Image processing (imgproc)
  - Object detection (objdetect)
  - 2D feature detection (feature2d)
  - Video (video)
  - Computational photography (photo)
  - Camera calibration (calib3d)
  - Feature matching with Flann (flann)
  - Image stitching (stitching)
  - Video stabilization (videostab)
  - Super resolution (superres)
  - Machine learning (ml)
  - GPU (gpu)

About video, the toolbox supports video reading and writing as it includes the
FFmpeg component (in its LGPL licence version), including H.264 videos with the
openh264 open source codec.

The interface is designed to combine performance and convenience.

Installation is also simplified. No installation of OpenCV, or system
configuration, are needed to use scicv. The toolbox embeds (and loads)
automatically all the necessary OpenCV binaries (whatever platform is).

(See the Getting Started page in the integrated documentation for the full
description of the toolbox).

Files (4)

[8.29 kB]

scicv_0.4.src.zip

Source code archive

Upload date : 2017-07-27 15:38:28
MD5         : 4aee286d0804abbe784f9dbcf81f0d3f
SHA1        : b84b3e6102ccd4249efebf8e39c0da6e4d511125
Downloads   : 618

[64.53 MB]

scicv_0.4_0.6.bin.x64.darwin.zip

macOS binary for Scilab 6.0.x

Scilab 6.0 MacOSX 64-bit binaries

Upload date : 2017-07-27 15:41:43
MD5         : 8a0c03a6da471d79f3023bd26b04f1bc
SHA1        : 60c7be5d7dfcf07ed26170b40ca6ecdafb480d83
Downloads   : 1202

[39.95 MB]

scicv_0.4_6.0.bin.x64.linux.tar.gz

Linux 64-bit binary for Scilab 6.0.x

Scilab 6.0 Linux 64-bit binaries

Upload date : 2017-07-27 15:41:10
MD5         : aa12a7b85fd0575b3421b2851451dc20
SHA1        : 2880f4525f9ed05cb3a18a375e14959ad0960f70
Downloads   : 9768

[62.45 MB]

scicv_0.4_6.0.bin.x64.windows.zip

Windows 64-bit binary for Scilab 6.0.x

Scilab 6.0 Windows 64-bit binaries

Upload date : 2017-07-27 15:40:02
MD5         : f58b7276336a2d7772c4acc9aefcafe8
SHA1        : ddfa8877997265a985566410c7d7323ed972f938
Downloads   : 19463

News (2)

Comments (4) ↓ Leave a comment

Comment from Samuel Gougeon -- February 23, 2018, 05:57:21 PM

Hello Simon,

With this 0.4 sciCV version, i get a new error with uman, that i do not get without
loading scicv:

--> uman isoview
at line   966 of function uman ( SCI\contrib\uman\2.1\macros\uman.sci line 976 )

write: Wrong number of input argument(s): 3 expected.

Apparently, scicv changes the behavior of write()...

Regards
Samuel

Answer from Samuel Gougeon -- February 23, 2018, 06:22:46 PM

When looking at the loaded gateways, scicv actually redefines write().
If it is really required, it would be kind to do it in a Scilab compatible way.
Otherwise, a warning notice would be a useful minimum.
BR

Answer from Samuel Gougeon -- February 23, 2018, 07:13:14 PM

After an exhaustive comparison with getscilabkeywords()([1 4]), the only two
collisions/redefinitions are write() and read()

Answer from Samuel Gougeon -- August 29, 2019, 01:13:04 PM

read() and write() blocking collisions with native Scilab functions are reported there:
http://forge.scilab.org/index.php/p/scicv/issues/1944/
http://forge.scilab.org/index.php/p/scicv/issues/1946/

Comment from Alexander Jameson -- July 3, 2018, 08:34:20 PM

In Fedora 28 scicv is not recognised works fine in iMac host.

Comment from Eduardo Inglez -- June 27, 2019, 09:25:44 PM

Hi,

Are there plans to develop features to train a CNN from scratch or apply transfer 
learning?

Rgs

Eduardo

Comment from Samuel Gougeon -- August 29, 2019, 01:05:14 PM

Hello,
I need the sources files of the package (without the thirdparty), but there are NOT 
actually available.
This package is NOT an open sources ones.
http://forge.scilab.org/index.php/p/scicv/issues/1945/