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6000 KM Road Trip

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Embarking on a road trip had always been our goal since we acquired our first car back in 2009. However, between demanding work schedules and challenging road conditions, the idea remained a distant dream. It wasn't until 2023 that circumstances shifted, granting us the freedom to prioritize exploration over work commitments. In January 2023, we finally indulged in a short but exhilarating road trip across Karnataka, spanning over 2000 kilometers. Despite the distance, the experiences we encountered along the way were nothing short of extraordinary. Inspired by our memorable journey, we resolved to delve deeper into the rich tapestry of India's cultural and historical treasures. Our itinerary took shape, beginning with the awe-inspiring Ajantha and Ellora caves in Aurangabad, then venturing to the sacred sites of Puri and Konark along the eastern coast. From there, our route traced a path southward through Andhra Pradesh and Tamil Nadu, culminating at the southernmost tip...
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Testing AWS Rekognition from POSTMAN

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I was trying AWS Rekognition & before using it in the app, i wanted to test with POSTMAN. But unfortunately there are not many resources available to be useful. Thus showing the simple way to setup POSTMAN. Obviously before jumping to POSTMAN, we need to have an AWS account setup and a user been created. (The user should have Rekognition related permissions) Also make sure to note the Access Key & Secret Key.  Lets start the POSTMAN & create a new POST request. The url to hit is  https://rekognition.ap-south-1.amazonaws.com  . It could change depending on your selected AWS region, mine is ap-south-1. First thing to set is the Authorization & select "AWS Signature" from the Type. Enter AccessKey, SecretKey which we noted while creating the new user. AWS Region should be from url & Service Name is "rekognition". We need to add 2 extra headers, "Content-Type" as "application/x-amz-jon-1.1" & "X-Amz-...
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Custom object detection with Customvision.ai and using trained model on Android device

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Computer Vision from the Cognitive service is the way to find meaning in the image, but what to do when we have to find our own custom object? How to create our own model to find our custom object? If you are looking for a simplest way, then Microsoft customvision.ai is the one to look for. Just head over to below link & register yourself. https://customvision.ai/ The Custom Vision Service is an Azure Cognitive Service that lets you build custom image classifiers. It makes it easy and fast to build, deploy, and improve an image classifier. Once you are registered with custom vision, you can create 2 projects for free. Create a new project. Use "Classification" as Project Type, "MultiClass (Single tag per image)" as Classification type (I am using images with only single object in it) and "General (Compact)" as Domain for leaner model for Mobile device use. Refer below image for reference. Now upload the images & provide a t...
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