https://blog.sksoumik.com/tags/computer-vision/ Recent content in computer vision on Sadman Kabir Soumik Hugo -- gohugo.io en Copyright © 2022, Sadman Kabir Soumik Mon, 16 Jan 2023 00:00:00 +0000 https://blog.sksoumik.com/artificial-intelligence/removing-background-selfie-segmentation/ Mon, 16 Jan 2023 00:00:00 +0000 https://blog.sksoumik.com/artificial-intelligence/removing-background-selfie-segmentation/ Project Goal The project aims to perform image segmentation on selfie images, see how we can blur the image's background, and even replace the background with some other solid colour like black. We will use a framework called MediaPipe to accomplish this task. About MediaPipe MediaPipe is an open-source framework developed by Google that allows developers to build and deploy cross-platform multimodal machine learning models. The framework provides a set of reusable components for tasks such as object detection, hand tracking, facial landmark detection, and gesture recognition. https://blog.sksoumik.com/artificial-intelligence/one-stage-two-stage-segmentation-difference/ Fri, 04 Mar 2022 00:00:00 +0000 https://blog.sksoumik.com/artificial-intelligence/one-stage-two-stage-segmentation-difference/ In computer vision, image segmentation refers to the process of dividing an image into distinct regions or segments, each corresponding to a different object or background. There are two main approaches to image segmentation: one-stage and two-stage. One-stage image segmentation methods aim to directly predict a segmentation mask for the entire image in a single pass. These methods are typically faster and more efficient than two-stage methods, but they may be less accurate and less flexible.