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Image Processing and Computer Vision Toolbox

A Module of Image Processing and Computer Vision Toolbox for Scilab

(367 downloads for this version - 239945 downloads for all versions)

Details

Version

4.5.0

Author

Tan Chin Luh

Maintainers

Vincent COUVERT

Chin Luh Tan

Stéphane MOTTELET

Category

Image Processing

Website

https://ipcv.scilab-academy.com/

License

GPL (3.0)

Creation Date

November 29, 2023

Source created on

Scilab 2024.0.x

Binaries available on

Scilab 2024.0.x:

macOS

Linux 64-bit

Windows 64-bit

Install command

--> atomsInstall("IPCV")

Report a bug

GitLab's issues for IPCV

Description

            IPCV – Scilab Image Processing & Computer Vision, a module of Image
Processing and Computer Vision Toolbox for Scilab. Topics covered shown as
below, for details check out the functions summary in the download section.

•	Analytic Geometry 
•	Camera Handling 
•	Deep Learning 
•	Feature Detection, Description and Matching 
•	Filter Design and Visualization 
•	Image Analysis and Statistics 
•	Image Arithmetic 
•	Image Block Processing 
•	Image Enhancement and Restoration 
•	Image Linear Filtering 
•	Image Reading, Display and Exploration 
•	Image Registration and Image Fusion 
•	Image Stitching 
•	Image Transforms 
•	Image Types and Color Space Conversions 
•	Morphological Operations 
•	Object Detection 
•	Object Tracking 
•	ROI Processing 
•	Spatial Transformations 
•	Structural Analysis and Shape Descriptors 
•	Super Resolution 
•	Utilities and Interactive Tools 
•	Video Handling 

Updates on 4.1.2 (2019-11-15)
•	Deep learning inference = support for ONNX model 
•	Preparing support for upcoming module to integrate with libTorch (pytorch) 
•	Update lib to OPENCV 4.1.2

Version 4.5 (21-Nov-23):
• Change OpenCV Dependency to 4.5
• base64toimg, imgtobase64 (20-Sep-2022) - experimental, requite USB E for
image exchange

Files (4)

[87.31 MB]

IPCV_4.5.0.bin.Darwin.tar.gz

macOS binary for Scilab 2024.0.x

Upload date : 2023-11-29 22:29:34
MD5         : 3753e56c9c3a63a680fb6b7c0b5ffcbc
SHA1        : 392073c5d5f826b710f5056dfd0289295fe77b31
Downloads   : 28

[74.11 MB]

IPCV_4.5.0.bin.x64.Linux.tar.gz

Linux 64-bit binary for Scilab 2024.0.x

Upload date : 2023-11-29 22:40:53
MD5         : d68998f4a01a312d866e99604b212614
SHA1        : 546e289dadbef9edab439030f9a7497ea35278ee
Downloads   : 13

[98.77 MB]

IPCV_4.5.0.bin.x64.Windows.zip

Windows 64-bit binary for Scilab 2024.0.x

Upload date : 2023-11-29 22:06:39
MD5         : c987f06dc029ee6a3647a470b1aaf098
SHA1        : 46279f7202354541316b015c4c9d04c39a566854
Downloads   : 131

[13.82 MB]

IPCV_4.5.0.src.tar.gz

Source code archive

Upload date : 2023-11-29 22:05:15
MD5         : abd6ccc24410e7b21caf44a1424c7d36
SHA1        : 29676b4bfe0a9e320d54444a4dbd8ab265bf3099
Downloads   : 195

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 (1) ↑ Leave a comment

Comment from Yukiya Kawakami -- December 1, 2023, 10:57:06 AM

Hi,

I'd like to report that I found bugs in the " case 'log' " part in
fspecial.sci.

case 'log'
wrong:
        x2 = ones(siz(1),1) * ([-sizx:sizx]^2);
        y2 = ([-sizy:sizy]^2)' * ones(1, siz(2));
correct:
        x2 = ones(siz(1),1) * ([-sizx:sizx].^2);
        y2 = ([-sizy:sizy].^2)' * ones(1, siz(2));

I checked the difference between "case 'gaussian' " part and "case
'log' " part.
So, two "."(s) disappeared in the "case 'log' " part. These
are what I found.

Y. Kawakami

Answer from Stéphane MOTTELET

-- December 1, 2023, 12:06:24 PM

> Hi,
> 
> I'd like to report that I found bugs in the " case 'log' "
part
> in fspecial.sci.
> 
> case 'log'
> wrong:
>         x2 = ones(siz(1),1) * ([-sizx:sizx]^2);
>         y2 = ([-sizy:sizy]^2)' * ones(1, siz(2));
> correct:
>         x2 = ones(siz(1),1) * ([-sizx:sizx].^2);
>         y2 = ([-sizy:sizy].^2)' * ones(1, siz(2));
> 
> I checked the difference between "case 'gaussian' " part and
> "case 'log' " part.
> So, two "."(s) disappeared in the "case 'log' " part.
> These are what I found.
> 
> Y. Kawakami

Hello,

The dots did not dissapear, there were never present. However, since 2024.0 version Scilab
does not accept using the power operator on non-square matrices. I did not have time to
review all macros so thanks for the report.