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Image Processing and Computer Vision Toolbox

A Module of Image Processing and Computer Vision Toolbox for Scilab 6.0

(35805 downloads for this version - 251188 downloads for all versions)

Details

Version

2.0
A more recent valid version with binaries for Scilab 6.0 exists: 4.1.2

Author

Tan Chin Luh

Owner Organization

Trity Technologies

Maintainer

Chin Luh Tan

Category

Image Processing

Website

http://scilabipcv.tritytech.com

License

GPL (3.0)

Creation Date

July 16, 2018

Source created on

Scilab 6.0.x

Binaries available on

Scilab 6.0.x:

Linux 64-bit

macOS

Windows 64-bit

Install command

--> atomsInstall("IPCV")

Report a bug

GitLab's issues for IPCV

Description

            IPCV - Image Processing and Computer Vision Toolbox for Scilab 

This module is inspired by SIVP module and now has became independent module to
work with Scilab 6.0!

-------------------------------------------------------
PLEASE SCROLL DOWN TO THE "NEWS" SECTION FOR THE INSTALLATION
INSTRUCTIONS ESPECIALLY FOR LINUX USER.
-------------------------------------------------------

Files (5)

[116.51 MB]

IPCV-2.0-linux64-bin.zip

Linux 64-bit binary for Scilab 6.0.x

Tested on Ubuntu 18.04 64-bit, pre-requisites:

sudo apt-get install build-essential cmake unzip pkg-config libjpeg-dev
libpng-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
libxvidcore-dev libx264-dev libgtk-3-dev libatlas-base-dev gfortran

Upload date : 2018-11-28 07:19:18
MD5         : c22501cc05a574c62101ccf99f9b58c7
SHA1        : 9cc4e1904d176104732b409dd0941f377b8676f6
Downloads   : 8595

[48.21 MB]

IPCV-2.0-MacOS-bin.zip

macOS binary for Scilab 6.0.x

Tested only on Mac OS 10.13 High Sierra

Need to install hdf5, following lines install hdf5 with brew

# Install brew, this will install Xcode command line tools as well
/usr/bin/ruby -e "$(curl -fsSL
https://raw.githubusercontent.com/Homebrew/install/master/install)"

# Install hdf5 with other prerequisites
brew install hdf5

# Create folder and link the hdf5 to it so that it could be located by IPCV
sudo mkdir /sw
sudo mkdir /sw/lib
sudo ln /usr/local/lib/libhdf5.dylib /sw/lib/libhdf5.9.dylib

Upload date : 2018-12-04 04:15:01
MD5         : 8d996ee4826072b616e5aedf7e78b9a4
SHA1        : ddf0aec920a1fd578f14ae0eb268ab48ced575fa
Downloads   : 652

[14.53 MB]

IPCV-2.0-src.zip

Source code archive

Upload date : 2018-07-16 09:12:07
MD5         : dd32e2885036f28ed0eed7734a986f69
SHA1        : 7e460437b61e5203efaed95eb1780f19d2df247f
Downloads   : 913

[53.19 MB]

IPCV-2.0-win64-bin.zip

Windows 64-bit binary for Scilab 6.0.x

Upload date : 2018-07-16 09:18:12
MD5         : 04f55e32f102fb553337f78cace6be88
SHA1        : b389e2e177cea7b5d0d4c1ceff80df1c1bacff55
Downloads   : 23880

[102.20 MB]

patch_ipcv2.zip

Miscellaneous file

Patch file for various Linux Distribution.

IPCV Installation
1. Install Scilab or download Scilab binary
2. Launch Scilab and run "atomsInstall('IPCV')";
3. Restart Scilab. You will get error on not able to load the libraries.

How to apply the patch:
1. Download patch_ipcv2.zip
2. Unzip it into a folder
3. Launch Scilab again
4. CD to the folder where you unzip the patch_ipcv.zip
5. Run following commands:
--> load patch_ipcv
--> patch_ipcv('centos-lib.zip')

centos-lib.zip is the patch for the centos 7.5. Other version not tested

Upload date : 2018-12-20 09:46:38
MD5         : 3ce4b5f6dac61e4782c7b39072d754e2
SHA1        : affe3a972db6f29f3a02fd8810f41360d2221742
Downloads   : 1765

News (5)

News from Chin Luh Tan -- December 20, 2018, 09:52:36 AM

Dependencies for Different Linux Distro:

Ubuntu 
sudo apt-get install build-essential cmake unzip pkg-config libjpeg-dev
libpng-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
libxvidcore-dev libx264-dev libgtk-3-dev libatlas-base-dev gfortran

Centos 
sudo yum groupinstall 'Development Tools'
sudo yum install cmake gcc gtk2-devel pkconfig

News from Chin Luh Tan -- November 28, 2018, 07:20:48 AM

Current IPCV 2.0 support Win64 and Linux64. 

Version 2.0 (28-Nov-18): 
Uploaded Linux 64 (Ubuntu 18.04) binary

News from Chin Luh Tan -- July 16, 2018, 09:19:07 AM

Version 2.0 (11-July-18): 

Current IPCV 2.0 only support Win64. 

New Features
1. Deep Learning Network Inference system support 

Major Changes
1. Upgrading OpenCV Library to 3.4.1
2. Changes in Features detection and extraction, some functions removed due to
changes in lib. More algo will be supported in coming release
3. Video and camera handling has been seperated.

Bugs fixed:
1739	Error function "edge" with method "canny"
1740	Some problem with the function: imaddtext - Won't fix
1736	Error function "imwrite"
1737	Error function "imlogpolar"
1686	imshow() example yields an error about mat2utfimg
1715	On your watch list. -error1000 while installing IPCV - Won't fix
1691	ind2rgb function is missing

News from Chin Luh Tan -- December 18, 2017, 05:42:23 AM

Scilab IPCV 1.2 Released

Windows: 
1. Using Binary : install and run
2. Build from source : require VC11 (msvc120express)

Linux:
1. Using Binary : 
- Require some prerequisites from repositories that matched the pre-compiled
libraries version

2. Build from source : 
- Require some prerequisites from repositories


For more details, please visit:
http://scilabipcv.tritytech.com/2017/12/18/installation-of-scilab-ipcv-1-2/

News from Chin Luh Tan -- March 21, 2017, 09:11:58 AM

Installation Instructions

Windows: 
1. Using Binary : install and run
2. Build from source : require VC11 (msvc120express)

Linux:
1. Using Binary : 
- Require libopencv-dev
- Remove or disable libgomp* under SCI/lib/thirdparty/redist
- Run the builder.sce under the IPCV root error loading IPCV-1.0. 

2. Build from source : 
- Require build-essential
- Require libopencv-dev

For more details, please visit:
http://scilabipcv.tritytech.com/2017/03/17/installation-of-scilab-ipcv/

Comments (4) ↑ Leave a comment

Comment from Alexander Jameson -- September 14, 2018, 06:43:20 PM

This comment has been deleted.

Comment from egge_d DD -- April 11, 2019, 03:29:28 PM

Hello

is there any chance to control exposure time with USB-cameras using camopen and imread?

This script works fine with the attached USB-camera
n = camopen(0);
sleep(200);
im = camread(n); //get a frame
imshow(im);
camcloseall();

However I can not controll exposure time and get therefore in some cases bad pictures. I
can change the camera settings (and also save these settings on the camera) with the
camera software. However it seems, that camopen and camread ignores these settings or
sends its own settings.

The goals would be to take a picuture and check the exposure (e.g. using
histogram-function) if the picture is to dark or to bright. Based on this, a second
picture should be taken with the corrected exposure time.

Is there a better place to post this question (e.g. forum)?

best regards
egge_d

Comment from Eduardo Inglez -- June 27, 2019, 09:19:58 PM

Hi,

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

Rgs

Eduardo

Answer from Chin Luh Tan

-- July 2, 2019, 02:21:31 PM

Hi, 

Currently IPCV 4.1 is being developed, in which transfer learning already been shown in 
this post: https://www.linkedin.com/pulse/deep-learning-series-transfer-scilab-modules-
tan-chin-luh/

Training CNN from scratch is in the plan as well, lacking of resources is the main reason 
of the delay. 

rgds,
CL

Answer from Chin Luh Tan

-- July 2, 2019, 03:14:04 PM

Hi, 

Currently IPCV 4.1 is being developed, in which transfer learning already been shown in 
this post: https://www.linkedin.com/pulse/deep-learning-series-transfer-scilab-modules-
tan-chin-luh/

Training CNN from scratch is in the plan as well, lacking of resources is the main reason 
of the delay. 

rgds,
CL

Comment from Eduardo Inglez -- July 2, 2019, 09:01:54 PM

Good news. Good luck

Rgs

Eduardo