Creating a Dynamic Image Animation with PHP, GIMP, and FFmpeg: A Step-by-Step Guide

Introduction

In this blog post, I’ll walk you through a personal project that combines creative image editing with scripting to produce an animated video. The goal was to take one image from each year of my life, crop and resize them, then animate them in a 3×3 grid. The result is a visually engaging reel targeted for Facebook, where the images gradually transition and resize into place, accompanied by a custom audio track.

This project uses a variety of tools, including GIMP, PHP, LibreOffice Calc, ImageMagick, Hydrogen Drum Machine, and FFmpeg. Let’s dive into the steps and see how all these tools come together.

Preparing the Images with GIMP

The first step was to select one image from each year that clearly showed my face. Using GIMP, I cropped each image to focus solely on the face and resized them all to a uniform size of 1126×1126 pixels.

I also added the year in the bottom-left corner and the Google Plus Code (location identifier) in the bottom-right corner of each image. To give the images a scrapbook-like feel, I applied a torn paper effect around the edges. Which was generated using Google Google Gemini using prompt “create an image of 3 irregular vertical white thin strips on a light blue background to be used as torn paper edges in colash” #promptengineering

Key actions in GIMP:

  • Crop and resize each image to the same dimensions.
  • Add text for the year and location.
  • Apply a torn paper frame effect for a creative touch.

Organizing the Data in LibreOffice Calc

Before proceeding with the animation, I needed to plan out the timing and positioning of each image. I used LibreOffice Calc to calculate:

  • Frame duration for each image (in relation to the total video duration).
  • The positions of each image in the final 3×3 grid.
  • Resizing and movement details for each image to transition smoothly from the bottom to its final position.

Once the calculations were done, I exported the data as a JSON file, which included:

  • The image filename.
  • Start and end positions.
  • Resizing parameters for each frame.

Automating the Frame Creation with PHP

Now came the fun part: using PHP to automate the image manipulation and generate the necessary shell commands for ImageMagick. The idea was to create each frame of the animation programmatically.

I wrote a PHP script that:

  1. Reads the JSON file and converts it to PHP arrays, which were manually hard-coded into the generator script. This is to define the positioning and resizing data.
  2. Generates ImageMagick shell commands to:
  • Place each image on a 1080×1920 blank canvas.
  • Resize each image gradually from 1126×1126 to 359×375 over several frames.
  • Move each image from the bottom of the canvas to its final position in the 3×3 grid.

Here’s a snippet of the PHP code that generates the shell command for each frame:

This script dynamically generates ImageMagick commands for each image in each frame. The resizing and movement of each image happens frame-by-frame, giving the animation its smooth, fluid transitions.


Step 4: Creating the Final Video with FFmpeg

Once the frames were ready, I used FFmpeg to compile them into a video. Here’s the command I referred, for the exact project the filnenames and paths were different.

ffmpeg -framerate 30 -i frames/img_%04d.png -i audio.mp3 -c:v libx264 -pix_fmt yuv420p -c:a aac final_video.mp4

This command:

  • Takes the image sequence (frames/img_0001.png, frames/img_0002.png, etc.) and combines them into a video.
  • Syncs the video with a custom audio track created in Hydrogen Drum Machine.
  • Exports the final result as final_video.mp4, ready for Facebook or any other platform.

Step 5: The Final Touch — The 3×3 Matrix Layout

The final frame of the video is particularly special. All nine images are arranged into a 3×3 grid, where each image gradually transitions from the bottom of the screen to its position in the matrix. Over the course of a few seconds, each image is resized from its initial large size to 359×375 pixels and placed in its final position in the grid.

This final effect gives the video a sense of closure and unity, pulling all the images together in one cohesive shot.

Conclusion

This project was a fun and fulfilling exercise in blending creative design with technical scripting. Using PHP, GIMP, ImageMagick, and FFmpeg, I was able to automate the creation of an animated video that showcases a timeline of my life through images. The transition from individual pictures to a 3×3 grid adds a dynamic visual effect, and the custom audio track gives the video a personalized touch.

If you’re looking to create something similar, or just want to learn how to automate image processing and video creation, this project is a great starting point. I hope this blog post inspires you to explore the creative possibilities of PHP and multimedia tools!

The PHP Script for Image Creation

Here’s the PHP script I used to automate the creation of the frames for the animation. Feel free to adapt and use it for your own projects:

<?php

// list of image files one for each year
$lst = ['2016.png','2017.png','2018.png','2019.png','2020.png','2021.png','2022.png','2023.png','2024.png'];

$wx = 1126; //initial width
$hx = 1176; //initial height

$wf = 359;  // final width
$hf = 375;  // final height

// final position for each year image
// mapped with the array index
$posx = [0,360,720,0,360,720,0,360,720];
$posy = [0,0,0,376,376,376,752,752,752];

// initial implant location x and y
$putx = 0;
$puty = 744;

// smooth transition frames for each file
// mapped with array index
$fc = [90,90,90,86,86,86,40,40,40];

// x and y movement for each image per frame
// mapped with array index
$fxm = [0,4,8,0,5,9,0,9,18];
$fym = [9,9,9,9,9,9,19,19,19];

// x and y scaling step per frame 
// for each image mapped with index
$fxsc = [9,9,9,9,9,9,20,20,20];
$fysc = [9,9,9,10,10,10,21,21,21];

// initialize the file naming with a sequential numbering

$serial = 0;

// start by copying the original blank frame to ramdisk
echo "cp frame.png /dev/shm/mystage.png","\n";

// loop through the year image list

foreach($lst as $i => $fn){
    // to echo the filename such that we know the progress
    echo "echo '$fn':\n"; 

    // filename padded with 0 to fixed width
    $newfile = 'frames/img_' . str_pad($serial, 4,'0',STR_PAD_LEFT) . '.png';

// create the first frame of an year
    echo "composite -geometry +".$putx."+".$puty."  $fn /dev/shm/mystage.png  $newfile", "\n";

    $tmx = $posx[$i] - $putx;

    $tmy = $puty - $posy[$i];

    // frame animation
    $maxframe = ($fc[$i] + 1);
    for($z = 1; $z < $maxframe ; $z++){

        // estimate new size 
        $nw = $wx - ($fxsc[$i] * $z );
        $nh = $hx - ($fysc[$i] * $z );

        $nw = ($wf > $nw) ? $wf : $nw;
        $nh = ($hf > $nh) ? $hf : $nh;

        $tmpfile = '/dev/shm/resized.png';
        echo "convert $fn  -resize ".$nw.'x'.$nh.'\!  ' . $tmpfile . "\n";

        $nx = $putx + ( $fxm[$i] * $z );
        $nx = ($nx > $posx[$i]) ? $posx[$i] : $nx; 

        if($posy[$i] > $puty){
            $ny = $puty + ($fym[$i] * $z) ;
            $ny = ($ny > $posy[$i]) ? $posy[$i] : $ny ;
        }else{
            $ny = $puty - ($fym[$i] * $z);
            $ny = ($posy[$i] > $ny) ? $posy[$i] : $ny ;
        }

        $serial += 1;
        $newfile = 'frames/img_' . str_pad($serial, 4,'0',STR_PAD_LEFT) . '.png';
        echo 'composite -geometry +'.$nx.'+'.$ny."  $tmpfile /dev/shm/mystage.png  $newfile", "\n";
    }

    // for next frame use last one
     // thus build the final matrix of 3 x 3
    echo "cp $newfile /dev/shm/mystage.png", "\n";
}

Creating a Time-lapse effect Video from a Single Photo Using Command Line Tools on Ubuntu

In this tutorial, I’ll walk you through creating a timelapse effect video that transitions from dark to bright, all from a single high-resolution photo. Using a Samsung Galaxy M14 5G, I captured the original image, then manipulated it using Linux command-line tools like ImageMagick, PHP, and ffmpeg. This approach is perfect for academic purposes or for anyone interested in experimenting with video creation from static images. Here’s how you can achieve this effect. And note that this is just an academic exploration and to be used as a professional tool the values and frames should be defined with utmost care.

Basics was to find the perfect image, and crop it to 9:16 since I was targetting facebook reels and the 50 MP images taken on Samsung Galaxy M14 5G are at 4:3 with 8160×6120 and Facebook reels or YouTube shorts follow the format of 9:16 and 1080×1920 or proportionate dimensions. My final source image was 1700×3022 added here for reference. Had to scale it down to keep inside the blog aesthetics.

Step 1: Preparing the Frame Rate and Length
To begin, I decided on a 20-second video with a frame rate of 25 frames per second, resulting in a total of 500 frames. Manually creating the 500 frames was tedious and any professionals would use some kind of automation. Being a devops enthusiast and a linux fanatic since 1998 my choice was shell scripting. But addiction to php as an aftermath of usage since 2002 kicked up inside me and the following code nippet was the outcome.

Step 2: Generating Brightness and Contrast Values Using PHP
The next step was to create an array of brightness and contrast values to give the impression of a gradually brightening scene. Using PHP, I mapped each frame to an optimal brightness-contrast value. Here’s the PHP snippet I used:

<?php


$dur = 20;
$fps = 25;
$frames = $dur * $fps;
$plen = strlen(''.$frames) + 1;
$val = -50;
$incr = (60 / $frames);

for($i = 0; $i < $frames; $i++){
   $pfx =  str_pad($i, $plen, '0', STR_PAD_LEFT);

    echo $pfx, " ",round($val,2),"\n";

    $val += $incr;
}

?>

Being in ubuntu the above code saved as gen.php and after updating the values for duration and framerate this was executed from the cli and output redirected to a text file values.txt with the following command.

php -q gen.php > values.txt 

Now to make things easy, the source file was copied as src.jpg into a temporary folder and a sub-folder ‘anim’ was created to hold the frames. Here I already had a script which will resume from where left off depending on the situation. the script is as follows.

#!/bin/bash


gdone=$(find ./anim/ -type f | grep -c '.jpg')
tcount=$(grep -c "^0" values.txt)
todo=$(( $tcount - $gdone))

echo "done $gdone of ${tcount}, to do $todo more "

tail -$todo values.txt | while read fnp val 
do 
    echo $fnp
    convert src.jpg -brightness-contrast ${val} anim/img_${fnp}.jpg
done

The process is quite simple, first code line defines a var gdone by counting ‘.jpg’ files in the ‘anim’ sub-directory and then taking total count from values.txt the difference is to be done the status is echoed to output and a loop is initiated with reading the last todo lines from values.txt and executing the conversion using the convert utility of imagemagick. In case this needs to be interrupted, I just close the terminal window from xwindows, as a subsequent execution will continue from where leftoff. Once this is completed, the frames are stitched together using ffmpeg using the following commad.

ffmpeg -i anim/img_%04d.jpg -an -y ../output.mp4

The filename pattern %04d is decided from the width of number of frames plus 1 as in the php code the var $plen on code line 4 is taken for the str_pad function input padd length.

The properties of final output generated by ffmpeg is as follows. Note the dimensions, duration and frame rate do comply as decided on startup.

Leveraging WordPress and AWS S3 for a Robust and Scalable Website

Introduction

In today’s digital age, having a strong online presence is crucial for businesses of all sizes. WordPress, a versatile content management system (CMS), and Amazon S3, a scalable object storage service, offer a powerful combination for building and hosting dynamic websites.

Understanding the Setup

To effectively utilize WordPress and S3, here’s a breakdown of the key components and their roles:

  1. WordPress:
  • Content Management: WordPress provides an intuitive interface for creating and managing website content.
  • Plugin Ecosystem: A vast array of plugins extends WordPress’s functionality, allowing you to add features like SEO, e-commerce, and security.
  • Theme Customization: You can customize the appearance of your website using themes, either by choosing from a wide range of pre-built themes or creating your own. Get it free from the maintainers directly and free: https://wordpress.org/download/
  1. AWS S3:
  • Scalable Storage: S3 offers virtually unlimited storage capacity to accommodate your website’s growing content.
  • High Availability: S3 ensures your website is always accessible by distributing data across multiple servers.
  • Fast Content Delivery: Leveraging AWS CloudFront, a content delivery network (CDN), can significantly improve website performance by caching static assets closer to your users.

The Deployment Process

Here’s a simplified overview of the deployment process:

  1. Local Development:
  • Set up a local WordPress development environment using tools like XAMPP, MAMP, or Docker.
  • Create and test your website locally.
  1. Static Site Generation:
  • Use a tool like WP-CLI or a plugin to generate static HTML files from your WordPress site.
  • This process converts dynamic content into static files, which can be optimized for faster loading times.
  1. S3 Deployment:
  • Upload the generated static files to an S3 bucket.
  • Configure S3 to serve the files directly or through a CloudFront distribution.
  1. CloudFront Distribution:
  • Set up a CloudFront distribution to cache your static assets and deliver them to users from edge locations.
  • Configure custom domain names and SSL certificates for your website.

Benefits of Using WordPress and S3

  • Scalability: Easily handle increased traffic and content without compromising performance.
  • Cost-Effective: S3 offers affordable storage and bandwidth options.
  • High Availability: Ensure your website is always accessible to users.
  • Security: Benefit from AWS’s robust security measures.
  • Flexibility: Customize your website to meet your specific needs.
  • Performance: Optimize your website’s performance with caching and CDN.

Conclusion

By combining the power of WordPress and AWS S3, you can create a robust, scalable, and high-performance website. This setup offers a solid foundation for your online presence, whether you are a small business owner or a large enterprise.

Start your cloud journey for free today with AWS! Sign up now: https://aws.amazon.com/free/

Choosing the Right Database for High-Performance Web Applications on AWS

In any web application project, selecting the optimal database is crucial. Each project comes with unique requirements, and the final decision often depends on the data characteristics, the application’s operational demands, and future scaling expectations. For my most recent project, choosing a database meant evaluating a range of engines, each with strengths and trade-offs. Here, I’ll walk through the decision-making process and the architecture chosen to meet the application’s unique needs using AWS services.

Initial Considerations

When evaluating databases, I focused on several key factors:

  • Data Ingestion and Retrieval Patterns: What type of data will be stored, and how will it be accessed or analyzed?
  • Search and Select Complexity: How complex are the queries, and do we require complex joins or aggregations?
  • Data Analysis Needs: Will the data require post-processing or machine learning integration for tasks like sentiment analysis?

The database engines I considered included MariaDB, PostgreSQL, and Amazon DynamoDB. MariaDB and PostgreSQL are widely adopted relational databases known for reliability and extensive features, but DynamoDB is particularly designed to support high-throughput applications on AWS, making it a strong candidate.

The Project’s Data Requirements

This project required the following data structure:

  • Data Structure: Each row was structured as JSON, with a maximum record size of approximately 1,541 bytes.
  • Attributes: Each record included an asset ID (20 chars), user ID (20 chars), a rating (1 digit), and a review of up to 1,500 characters.
  • Scale Expectations: Marketing projections suggested rapid growth, with up to 100,000 assets and 50,000 users within six months, resulting in a peak usage of about 5,000 transactions per second. Mock Benchmarks and Testing

To ensure scalability, I conducted a benchmarking exercise using Docker containers to simulate real-world performance for each database engine:

  • MariaDB and PostgreSQL: Both performed well with moderate loads, but resource consumption spiked sharply under simultaneous requests, capping at around 50 transactions per second before exhausting resources.
  • Amazon DynamoDB: Even on constrained resources, DynamoDB managed up to 24,000 requests per second. This performance, combined with its fully managed, serverless nature and built-in horizontal scaling capability, made DynamoDB the clear choice for this project’s high concurrency and low-latency requirements. Amazon DynamoDB – The Core Database

DynamoDB emerged as the best fit for several reasons:

  • High Availability and Scalability: With DynamoDB, we can automatically scale up or down based on traffic, and AWS manages the underlying infrastructure, ensuring availability across multiple regions.
  • Serverless Architecture Compatibility: Since our application was API-first and serverless, built with AWS Lambda in Node.js and Python, DynamoDB’s seamless integration with AWS services suited this architecture perfectly.
  • Flexible Data Model: DynamoDB’s schema-less, JSON-compatible structure aligned with our data requirements.

Read more about Amazon DynamoDB.

Extending with Sentiment Analysis: The DynamoDB and Elasticsearch Combo

The project’s requirements eventually included sentiment analysis and scoring based on user reviews. Full-text search and analysis aren’t DynamoDB’s strengths, especially considering the potential cost of complex text scanning. So, we created a pipeline to augment DynamoDB with Amazon OpenSearch Service (formerly Elasticsearch Service), which can handle complex text indexing and full-text queries more cost-effectively.

  • DynamoDB Streams: Enabled DynamoDB Streams to capture any changes to the data in real time. Whenever a new review was added, it triggered a Lambda function.
  • Lambda Processing: The Lambda function post-processed the data, calculating preliminary sentiment scores and preparing it for indexing in Amazon OpenSearch Service.
  • OpenSearch Indexing: The review data, now pre-processed, was indexed in OpenSearch for full-text search and analytics. This approach allowed efficient searching without burdening DynamoDB.

Read more about Amazon OpenSearch Service.

Leveraging Amazon S3 and AWS Athena for Historical Analysis

With time, the volume of review data would grow significantly. For long-term storage and further analysis, we used Amazon S3 as a durable and cost-effective storage solution. Periodically, the indexed data in OpenSearch was offloaded to S3 for deeper analysis using Amazon Athena.

  • Amazon S3: Enabled periodic data archiving from OpenSearch, reducing the load and cost on OpenSearch. S3 provided a low-cost, durable storage solution with flexible retrieval options.
  • Amazon Athena: Athena allowed SQL querying on structured data in S3, making it easy to run historical analyses and create reports directly from S3 data.

This setup supported large-scale analytics and reporting, allowing us to analyze review trends and user feedback without overburdening the application database.

Read more about Amazon S3 and Amazon Athena.

Final Architecture and Benefits

The final architecture leveraged AWS’s serverless services to create a cost-effective, high-performance database system for our application. Here’s a breakdown of the components and their roles:

  • DynamoDB: Primary database for high-throughput, low-latency data storage.
  • DynamoDB Streams & Lambda: Enabled real-time data processing and integration with OpenSearch.
  • Amazon OpenSearch Service: Provided efficient full-text search and sentiment analysis.
  • Amazon S3 & Athena: Archived data and performed large-scale, cost-effective analytics.

This combination of DynamoDB, OpenSearch, and S3, with Athena for analytics, proved to be an efficient architecture that met all project requirements. The AWS ecosystem’s flexibility allowed us to integrate services tailored to each specific need, maintaining cost-effectiveness and scalability.

  • #DynamoDB #OpenSearch #AmazonS3 #AWSAthena #AWSLambda #Serverless #DatabaseSelection #CloudArchitecture #DataPipeline

This architecture and service setup provides a powerful example of how AWS’s managed services can be leveraged to achieve cost-effective performance and functionality.

Automating Laptop Charging with AWS: A Smart Solution to Prevent Overheating

In today’s fast-paced digital world, laptops have become indispensable tools. However, excessive charging can lead to overheating, which can significantly impact performance and battery life. In this blog post, we’ll explore a smart solution that leverages AWS services to automate laptop charging, prevent overheating, and optimize battery health. I do agree that Asus does provide premium support for a subscription, but this research and excercise was to brush up my brains and learn to create on aws with some useful solution. The solution is still in concept and once I start using it in production to the full extend, the shell scripts and cloudformation template will be pushed into github handle jthoma repository code-collection/aws

Understanding the Problem:

Overcharging can cause the battery to degrade faster and generate excessive heat. Traditional manual charging methods often lead to inconsistent charging patterns, potentially harming the battery’s lifespan.

The Solution: Automating Laptop Charging with AWS

To address this issue, we’ll utilize a combination of AWS services to create a robust and efficient automated charging system:

  1. AWS IoT Core: Purpose: This service enables secure and reliable bi-directional communication between devices and the cloud.
    How it’s used: We’ll connect a smart power outlet to AWS IoT Core, allowing it to send real-time battery level data to the cloud.
    Link: https://aws.amazon.com/iot-core/
    Getting Started: Sign up for an AWS account and create an IoT Core project.
  2. AWS Lambda: Purpose: This serverless computing service allows you to run code without provisioning or managing servers.
    How it’s used: We’ll create a Lambda function triggered by IoT Core messages. This function will analyze the battery level and determine whether to charge or disconnect the power supply.
    Link: https://aws.amazon.com/lambda/
    Getting Started: Create a Lambda function and write the necessary code in your preferred language (e.g., Python, Node.js, Java).
  3. Amazon DynamoDB: Purpose: This fully managed NoSQL database service offers fast and predictable performance with seamless scalability.
    Link: https://aws.amazon.com/dynamodb/
  4. Amazon CloudWatch: Purpose: This monitoring and logging service helps you collect and analyze system and application performance metrics.
    How it’s used: We’ll use CloudWatch to log system health and generate alarms based on battery level or temperature threshold. Also it helps to monitor the performance of our Lambda functions and IoT Core devices, ensuring optimal system health.
    Link: https://aws.amazon.com/cloudwatch/
    Getting Started: Configure CloudWatch to monitor your AWS resources and set up alarms for critical events.

How it Works:

  1. Data Collection: My Ubuntu system with the help of a shell script uses aws cli to send real-time battery level data to the cloud watch logs.
  2. Data Processing: Cloud watch metric filter alarms will trigger lambda function which is set for appropriate actions.
  3. Action Execution: The Lambda function sends commands to the smart power outlet to control the charging process.
  4. Data Storage: Historical battery level data is stored in Cloud Watch logs for analysis using Athena and further optimization.
  5. Monitoring and Alerting: CloudWatch monitors the system’s health and sends alerts if any issues arise.

Benefits of Automated Charging:

Optimized Battery Health: Prevents overcharging and undercharging, extending battery life.
Reduced Heat Generation: Minimizes thermal stress on the laptop.
Improved Performance: Ensures optimal battery performance, leading to better system responsiveness.
Energy Efficiency: Reduces energy consumption by avoiding unnecessary charging.

Conclusion

By leveraging AWS services, a sophisticated automated charging system that safeguards the laptop’s battery health and enhances its overall performance is reached. This solution empowers you to take control of your device’s charging habits and enjoy a longer-lasting, cooler, and more efficient laptop.

Start Your AWS Journey Today, Signup for free !

Ready to embark on your cloud journey? Sign up for an AWS account and explore the vast possibilities of cloud computing. With AWS, you can build innovative solutions and transform your business.

Amazon Q Developer: A Generative AI-Powered Conversational Assistant for Developers

Amazon Q Developer is a generative artificial intelligence (AI) powered conversational assistant designed to support developers in understanding, building, extending, and managing AWS applications. By leveraging the power of generative AI, Amazon Q Developer can provide developers with a variety of benefits, including:

Enhanced Understanding: Developers can ask questions about AWS architecture, resources, best practices, documentation, support, and more. Amazon Q Developer provides clear and concise answers, helping developers quickly grasp complex concepts.
Accelerated Development: Amazon Q Developer can assist in writing code, suggesting improvements, and automating repetitive tasks. This can significantly boost developer productivity and efficiency.
Improved Code Quality: By identifying potential issues and suggesting optimizations, Amazon Q Developer helps developers write cleaner, more secure, and more reliable code.

Amazon Q Developer is powered by Amazon Bedrock, a fully managed service that provides access to various foundation models (FMs). The model powering Amazon Q Developer has been specifically trained on high-quality AWS content, ensuring developers receive accurate and relevant answers to their questions.

Key Features of Amazon Q Developer:

Conversational Interface: Interact with Amazon Q Developer through a natural language interface, allowing easy and intuitive communication.
Code Generation and Completion: Receive code suggestions and completions as you type, reducing the time spent writing code.
Code Review and Optimization: Identify potential issues in your code and receive recommendations for improvements.
AWS-Specific Knowledge: Access a wealth of information about AWS services, best practices, and troubleshooting tips.
Continuous Learning: Amazon Q Developer is constantly learning and improving, ensuring that you always have access to the latest information.

How to Get Started with Amazon Q Developer:

  1. Sign up for an AWS account: If you don’t already have one, create an AWS account to access Amazon Q Developer.
  2. Install the Amazon Q Developer extension: Download and install the Amazon Q Developer extension for your preferred IDE (e.g., Visual Studio Code).
  3. Start asking questions: Begin interacting with Amazon Q Developer by asking questions about AWS, your code, or specific development tasks.

By leveraging the power of generative AI, Amazon Q Developer empowers developers to work more efficiently, write better code, and accelerate their development process.

Exploring Animation Creation with GIMP, Bash, and FFmpeg: A Journey into Headphone Speaker Testing

For a long time, I had a desire to create a video that helps people confirm that their headphones are worn correctly, especially when there are no left or right indicators. While similar solutions exist out there, I decided to take this on as an exploration of my own, using tools I’m already familiar with: GIMP, bash, and FFmpeg.

This project resulted in a short animation that visually shows which speaker—left, right, or both—is active, syncing perfectly with the narration.

Project Overview:
The goal of the video was simple: create an easy way for users to verify if their headphones are worn correctly. The animation features:

  • “Hear on both speakers”: Animation shows pulsations on both sides.
  • “Hear on left speaker only”: Pulsations only on the left.
  • “Hear on right speaker only”: Pulsations only on the right.
  • Silence: No pulsations at all. Tools Used:
  • Amazon Polly for generating text-to-speech narration.
  • Audacity for audio channel switching.
  • GIMP for creating visual frames of the animation.
  • Bash scripting to automate the creation of animation sequences.
  • FFmpeg to compile the frames into the final video.
  • LibreOffice Calc to calculate frame sequences for precise animation timing. Step-by-Step Workflow:
  1. Creating the Audio Narration:
    Using Amazon Polly, I generated a text-to-speech audio file with the necessary instructions. Polly’s lifelike voice makes it easy to understand. I then used Audacity to modify the audio channels, ensuring that the left, right, and both channels played at the appropriate times.
  2. Synchronizing Audio and Visuals:
    I needed the animation to sync perfectly with the audio. To achieve this, I first identified the start and end of each segment in the audio file and created a spreadsheet in LibreOffice Calc. This helped me calculate the number of frames per segment, ensuring precise timing for the animation.
  3. Creating Animation Frames in GIMP:
    The visual animation was created using a simple diaphragm depression effect. I made three frames in GIMP:
  • One for both speakers pulsating,
  • One for the left speaker only,
  • One for the right speaker only.
  1. Automation with Bash:
    Once the frames were ready, I created a guideline text using Gedit that outlined the sequence. I then used a bash while-read loop combined with a seq loop to generate 185 image files. These files followed a naming convention of anim_%03d.png, ensuring they were easy to compile later.
  2. Compiling with FFmpeg:
    After all frames were created, I used FFmpeg to compile the images into the final video. The result was a fluid, synchronized animation that matched the audio perfectly. The Finished Product:
    Here’s the final video that demonstrates the headphone speaker test:

https://youtu.be/_fskGicSSUQ

Why I Chose These Tools:
Being familiar with xUbuntu, I naturally gravitated toward tools that work seamlessly in this environment. Amazon Polly provided high-quality text-to-speech output, while Audacity handled the channel switching with ease. GIMP was my go-to for frame creation, and the combination of bash and FFmpeg made the entire animation process efficient and automated.

This project not only satisfied a long-held desire but also served as an exciting challenge to combine these powerful tools into one cohesive workflow. It was a satisfying dive into animation and audio synchronization, and I hope it can help others as well!

Conclusion:
If you’re into creating animated videos or simply exploring new ways to automate your creative projects, I highly recommend diving into tools like GIMP, bash, and FFmpeg. Whether you’re on xUbuntu like me or another system, the potential for customization is vast. Let me know if you found this helpful or if you have any questions!

The Benefits of Adopting DevOps Practices for Software Development Startups

In today’s fast-paced technology landscape, startups need to stay agile, adaptive, and ahead of the competition. Software development startups, in particular, face the challenge of delivering high-quality products at speed, while simultaneously managing limited resources and dynamic market demands. Adopting DevOps practices—such as Continuous Integration (CI), Continuous Deployment (CD), and Infrastructure as Code (IaC)—can provide the necessary framework for startups to scale efficiently and maintain agility throughout their development lifecycle.

In this article, we’ll explore the key benefits of embracing these DevOps practices for startups and how they can lead to accelerated growth, improved product quality, and a competitive edge in the software development space.

Faster Time-to-Market

Startups often have limited time to bring products to market, as getting an early foothold can be critical for survival. DevOps practices, particularly Continuous Integration and Continuous Deployment, streamline development processes and shorten release cycles. With CI/CD pipelines, startups can automate the testing, building, and deployment of applications, significantly reducing manual efforts and human errors.

By automating these critical processes, teams can focus more on feature development, bug fixes, and customer feedback, resulting in faster iterations and product releases. This speed-to-market advantage is especially crucial in industries where innovation and timely updates can make or break the business.

Key Takeaway: Automating repetitive tasks through CI/CD accelerates product releases and provides a competitive edge.

Improved Collaboration and Communication

A core principle of DevOps is fostering collaboration between development and operations teams. In a startup environment, where roles often overlap and resources are shared, having clear communication and collaboration frameworks is vital for success. DevOps encourages a culture of shared responsibility, where both teams work toward common objectives such as seamless deployment, system stability, and continuous improvement.

With DevOps practices, cross-functional teams can break down silos, streamline processes, and use collaborative tools like version control systems (e.g., Git) to track changes, review code, and share feedback in real time.

Key Takeaway: DevOps fosters a culture of collaboration and transparency that unites teams toward common goals.

Scalability and Flexibility with Infrastructure as Code (IaC)

Infrastructure as Code (IaC) allows startups to manage infrastructure programmatically, meaning server configurations, networking setups, and database settings are defined in code rather than manually provisioned. This approach brings tremendous scalability and flexibility, particularly as startups grow and expand their user base.

With IaC, infrastructure can be easily replicated, modified, or destroyed, allowing startups to quickly adapt to changing market needs without the overhead of manual infrastructure management. Popular IaC tools like Terraform or AWS CloudFormation enable startups to automate infrastructure provisioning, minimize downtime, and ensure consistent environments across development, staging, and production.

Key Takeaway: IaC empowers startups to scale infrastructure effortlessly, ensuring consistency and minimizing manual intervention.

Enhanced Product Quality and Reliability

By integrating CI/CD and automated testing into their development workflows, startups can ensure a higher level of product quality and reliability. Automated tests run with every code change, enabling developers to catch bugs early in the development process before they make it to production.

Continuous integration ensures that code is regularly merged into a shared repository, reducing the likelihood of integration issues down the road. With Continuous Deployment, new features and updates are automatically pushed to production after passing automated tests, ensuring that customers always have access to the latest features and improvements.

For startups, this translates to higher customer satisfaction, reduced churn, and fewer critical bugs or performance issues in production.

Key Takeaway: Automated testing and continuous integration lead to more stable, reliable, and high-quality products.

Cost Efficiency

For startups with limited budgets, adopting DevOps practices is a smart way to optimize operational costs. Automating the deployment pipeline with CI/CD reduces the need for manual interventions, which minimizes the risk of costly errors. Similarly, IaC allows startups to implement infrastructure efficiently, often using cloud services such as AWS, Google Cloud, or Azure that support pay-as-you-go models.

This not only eliminates the need for expensive hardware or large operations teams but also allows startups to allocate resources dynamically based on demand, avoiding unnecessary spending on idle infrastructure.

Key Takeaway: DevOps reduces operational costs by leveraging automation and scalable cloud infrastructure.

Enhanced Security and Compliance

Security can’t be an afterthought, even for startups. With DevOps practices, security is integrated into every stage of the software development lifecycle—commonly referred to as DevSecOps. Automated security checks, vulnerability scanning, and compliance monitoring can be incorporated into CI/CD pipelines, ensuring that security is built into the development process rather than bolted on afterward.

Additionally, by adopting IaC, startups can ensure that infrastructure complies with security standards, as configurations are defined and maintained in version-controlled code. This consistency makes it easier to audit changes and ensure compliance with industry regulations.

Key Takeaway: DevSecOps ensures security is integrated into every stage of development, enhancing trust with users and stakeholders.

Rapid Experimentation and Innovation

Startups need to innovate rapidly and experiment with new ideas to stay relevant. DevOps enables rapid experimentation by providing a safe and repeatable process for deploying new features and testing their impact in production environments. With CI/CD, teams can implement new features or changes in small, incremental releases, which can be quickly rolled back if something goes wrong.

This process encourages a culture of experimentation, where teams can test hypotheses, gather customer feedback, and iterate based on real-world results—all while maintaining the stability of the core product.

Key Takeaway: DevOps encourages rapid experimentation, allowing startups to test and implement ideas faster without compromising product stability.

Conclusion

For software development startups, the adoption of DevOps practices like Continuous Integration, Continuous Deployment, and Infrastructure as Code is no longer optional—it’s essential for scaling effectively and staying competitive in a dynamic market. The benefits are clear: faster time-to-market, improved collaboration, cost efficiency, enhanced product quality, and a culture of innovation. By investing in DevOps early, startups can position themselves for long-term success while delivering high-quality, reliable products to their customers.

DevOps isn’t just about tools and automation—it’s about building a culture of continuous improvement, collaboration, and agility. And for startups, that’s a recipe for success.

By integrating these practices into your startup’s workflow, you’re setting your team up for faster growth and a more robust, adaptable business model. The time to start is now.

Playing with Gimp on Ubuntu and AI

Recently I decided to brush up my graphics exposure. Since long back I have had the opportunity to explore using Adobe Photoshop on Windows, and Gimp or Ink-Scape on Linux, Canva on Android and most recently with AI using leonardo AI and Microsoft Copilot. Will boast about all of these with examples and prompts used.

The recent exploration using Gimp follows.

The original images are as follows though the one used for top layer was taken on Samsung M14 and file type was hief and the size was too large for the upload limits set by me on this blog and is down sized to acceptable file size loosing some quality.

The road picture shown above is snatched from google and tweaked a bit. For mixing up the first picture of my and my car had to be converted to a rotoscopic one with unwanted area having single color or transparency. This was done in gimp by pasting on a second layer and adding alpha channel to the layer. Then using fuzz select “U” and “Selection Editor” menu and “shift” + “click” “Select -> Grow / Shrink / Remove Holes” menu items and “Tools -> Paint tools -> Eraser ” or “Shift + E” visually and manually erased all unwanted elements leaving out only me and my car in the layer. This layer ws further resized after reducing the opacity to see how it matched the road picture, once the proportion was visibly satisfied the opacity was taken back to 100% and to finalize using “Tools -> Paint Tools -> Clone” and own visual decision some shadow from my Shirt was also stamped out to match the sun light angle in the road picture. Hope everything is visually okay.

Further playing with AI

A 90-year-old biker wearing full riding gear, including a leather jacket, helmet with a visor, gloves, and riding boots, sitting confidently on a large cruiser motorcycle. His weathered face shows deep lines of age, but his posture remains strong and determined. The motorcycle is a classic, chrome-laden cruiser, polished and shining under the sunlight. The backdrop features a vast, sprawling farm with rolling green fields, a rustic barn, and distant hills under a clear blue sky. The atmosphere is peaceful, yet the image exudes a sense of timeless adventure and freedom.

From the view of this image, I went to google photos on my device and searched for my images to choose the one included below

Original image taken on Samsung M14 and had 7.3 MB and 4896×5789 resolution so rescaled it to 1096×1296 and 1.1 mb to fit into this blog.

from the image only the face was selected with gimp Tools -> Selection Tools -> Rectangle Select “R”, I always use the hot key “r” and was copied into the other AI rendered image as a new layer. This was scaled to fit the size after erasing unwanted edges and the final image is as follows.

Well there are more to it and that will be another story.

Spreadsheet Formula Timepass

Today just for fun wanted to play with something, and the outcome is a randomly generated class marks list and some calculations. For my usage, I used Libre Office Calc as I am on Linux. For the sake of generated student names, I used the serial number from 1 to 60 in a template “Student$ Name” using the Ubuntu shell and the following command

seq 1 60 | while read dn; do echo "Student${dn} Name"; done

I could have used bash itself to generate the marks in random with the following

seq 1 60 | while read dn; do echo "Student${dn} Name,$(( RANDOM % 80 + 20 ))"; done

but instead I used ChatGPT to do this one with the prompt

generate 60 random numbers one in a line ranging from 20 to 99

And copied the result into my text editor http://bz2.in/texdit to clean up any extra comments and then copied it into the marks column.

Now just for visibility leaving out 5 rows after the marks entry the following formula was entered.

=AVERAGE(D2:D61)

Note that the first two columns (A and B of the sheet) were left blank and C contains the Random Names so D is the marks column, the first row is column names “NAME, MARKS’ etc

Now to see if I can implement the grading system

The following formula was copied into F2 and then copied and pasted into all cells F3::F61, when you copy from the spreadsheet and paste it into another cell, the cell references in the formulae get updated automatically and the whole sheet reflects the result.

=IF(D2>=97,"A+",IF(D2>=93,"A",IF(D2>=90,"A-",IF(D2>=87,"B+",IF(D2>=83,"B",IF(D2>=80,"B-",IF(D2>=77,"C+",IF(D2>=73,"C",IF(D2>=70,"C-",IF(D2>=67,"D+",IF(D2>=65,"D",IF(D2>=35,"E","F"))))))))))))

I know the formula above is a bit complicated. Hence I will add the mark sheet template.xls for download for a reference.

To explain the above formula it is actually the simple IF(Condition, When True, When False), but with the When False next lower condtion and thus nested all 11 conditions and final when false is the 12th condition.