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Deep Learning Inference with Scilab IPCV – Lenet5 with MNIST Visualization

July 20, 2018

This tutorial is the continuation from the previous tutorial, however, as this article explore more into details on how the CNN works by looking into the internal layers of the network, those who are just interested to deploy application using the model could skipped this tutorial.

On the other hand, this tutorial would be helpful for teaching and understanding how’s CNN works, so if you’re lecturers or academicians, you might find this useful to illustrate to students.

(more…)

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Deep Learning Inference with Scilab IPCV – Pre-Trained Lenet5 with MNIST

July 17, 2018

This is the first post about DNN with Scilab IPCV 2.0, first of all, I would like to highlight that this module is not meant to “replace” or “compete” others great OSS for deep learning, such as Pyhton-Tensor-Keras software chain, but it is more like a “complement” to those tools with the power of Scilab and OpenCV 3.4.

In this tutorial, we are going to load a pre-trained LeNet-5 model with MNIST dataset, and quickly test the model with our own handwriting. This will not take long, less than 10 lines of codes, you could load and use the pre-trained model on the fly.

(more…)

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What’s New in IPCV 2.0

July 16, 2018

We continue to work on IPCV module and we are pleased to announce the release of Scilab IPCV 2.0 with bugs fixed and some great new features!

Support on Deep Learning Network!

One of the exiting features in IPCV 2.0 is the support for deep learning network for inference system. This feature allows the user to import DNN models build and trained with caffe and tensorflow into Scilab to build a fast prototype or even end desktop base end solution in short time! (more…)

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Computer Vision – Live Video from Webcam

February 22, 2018

With the release of Scilab 6.0.1, we could not use the Scilab figure to show the live video much efficient after the bug #15057  has been fixed.

Let’s compare a few methods to display live video from webcam.

(more…)

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Drawing Shapes by Overwriting Pixel Value

January 14, 2018

This post is modified from our previous blog, with our own permission. 🙂

We received some queries on the image pixels, which make us think that sometimes we might just  go too far. So let’s back to the basic for this post and coming few posts. (we might be adding some application specified application from time to time, any ideas on what you wish to see, feel free to post at the comments).

Yes, one more thing we would like to say, we do apologize on missing some posts last few weeks, due to we were focusing on the preparation of IPCV 1.2, as well as putting our public training on IPCV up and running.  Thanks for your understanding.

(more…)

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Official Launch of Scilab IPCV 1.2!

December 28, 2017

We are pleased to announce the release of Scilab IPCV 1.2 with bugs fixed and some new features such as high level super resolution and image stitching functions.

At the same time, our IPCV just hit 10,000 downloads at atoms portal  after 1 year it has been uploaded.

Thanks for all the support from all of you, see you next year!

Happy New Year!

Installation of Scilab IPCV 1.2

December 20, 2017

The Installation for the Scilab IPCV 1.2 for Windows 32-bits and 64-bits is the same with previous IPCV version.

As for Linux, we are trying to make IPCV 1.2 available for different Linux distributions by providing instruction for prerequisites libraries in this blogs,  and it is an ongoing process.

As for today, 17-Dec-2017, we just release the IPCV for Linux 64-bit in atoms portal, and we will provide the instructions to setup in Ubuntu, and more will be coming in near future. If you have any success in making it available in other distributions, please share with others in comment.

(more…)

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Object Size Estimation

November 20, 2017

In one of our previous tutorial, we had shared how to find the length of an object in an image. If you miss the tutorial, please visit this link.

One of our reader was asking whether it is possible to calculate the area for a selected region, and here we will try to work on it from the basic.

(more…)

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Heatmap on Google Static Maps

November 6, 2017

In the previous post we discussed about how to download the Google static map and plot the marker on given lat-long on the map. This allows the map to be reused offline.

To move further, we explore how could we use the map to visualize data on it, such as the temperature or the rainfall on the static map.

(more…)

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Plotting on Google Static Maps

November 1, 2017

Couple of days ago we received an inquiry on how to show the google static map and put some markers on it, let’s see how to achieve this.

In order to do so, we need to perform 2 steps:

  1. Download Google Static Map
  2. Calculate the x and y location in correspond to the lat-long given

(more…)

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Topics

  • Computer Vision & Hardware Interfaces
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  • Image Types and Color Space Conversions
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Recent Posts

  • Deep Learning Inference with Scilab IPCV – Lenet5 with MNIST Visualization
  • Deep Learning Inference with Scilab IPCV – Pre-Trained Lenet5 with MNIST
  • What’s New in IPCV 2.0
  • Computer Vision – Live Video from Webcam
  • Drawing Shapes by Overwriting Pixel Value




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