Visualizing Pathologies in Ultrasound Images Using OpenCV and Streamlit

July 1st, 2021

In this article, we guide you in a step-by-step tutorial to use OpenCV and Streamlit to detect pathologies in ultrasound images. Within an interactive Streamlit application that takes the image and mask generated from a model as input and gives us the bounded box, mask

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Deep Learning Pipeline for Image Segmentation & Laser Weed Removal

May 20th, 2021

A Crop vs Weed Segmentation on the edge pipeline, in order to improve the model performance that identifies weed from crops in images, we used different image segmentation techniques. Here we present a walkthrough of the preprocessing and pipelining for the Semantic Se

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Optimization of Edge based Inference Pipeline for Weed Control

May 7th, 2021

This article captures, the optimizations explored for the AI-enabled edge-based weed controller on Nvidia Jetson Xavier AGX. The experiments include TensorRT quantization, calibrations, benchmarking of inference pipeline based on YolactEdge, Bonnetal models, and the enh

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Object Detection for Equirectangular Projections

April 23rd, 2021

  Applying commonly available Machine Learning-driven object detection frameworks to equirectangular projections images. Author: Parit Mehta   What is a Panorama? Imagine boarding a ferry to a picturesque island with a beautiful view of the ocean from the top

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Learning OpenCV from Scratch to Build a Pedestrian Detector

April 10th, 2021

Introduction to OpenCV, its applications, basics of image processing, Pedestrian Detector, and YOLO detector By Rutuja Kawade   In my childhood days, I used to often think about how the photo editing apps came to know where exactly the hair or the lips are present

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Through The Looking Glass: A Deep-Dive Into an Omdena Challenge

April 2nd, 2021

Wondering what it’s like to work on an Omdena challenge? Are you unsure of how you will be able to contribute? Don’t worry! Just walk through the looking glass (this article 😄) to enter the amazing world of collaboration and learning. By Sneha Bahl   The Omd

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