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ROI based Hybrid Lossy and Lossless Image Compression
Author(s): Mahisha Patel Computer Vision You don’t always need an entire high-quality image for insights! Photo by Anna Shvets from Pexels This article aims to present the amalgamation of lossy and lossless compression for building a hybrid approach based on Region Of Interest …
ShaRF: Take a Picture From a Real-Life Object, and Create a 3D Model of It
Author(s): Louis (What’s AI) Bouchard Just imagine how cool it would be to just take a picture of an object and have it in 3D to insert in the movie or video game you are… Continue reading on Towards AI » Published …
Popular Datasets for 3D Human Pose Estimation
Author(s): Muhamed Kouate Acquire the knowledge to interpret and create your own datasets Continue reading on Towards AI » Published via Towards AI …
What is CLIP (Contrastive Language — Image Pre-training) and how it can be used for semantic image…
Author(s): Vatsal Saglani Deep Learning way to search images Continue reading on Towards AI » Published via Towards AI …
Facial Analysis With Masks? Learn How To Achieve 96% Accuracy
Author(s): Panos Moutafis, Ph.D., Rakshak Talwar, Mary Lim Masks and face coverings are here to stay. This is a guide for training robust AI models without crossing the privacy line. The Zenus co-founders demonstrating live facial analysis with masks. Full video available on this link. …
Embedded COVID mask detection on an Arm Cortex-M7 processor using PyTorch
Author(s): Igor Susmelj How we built a visual COVID-19 mask quality inspection prototype running on-device on an OpenMV-H7 board and the challenges on the way. Continue reading on Towards AI » Published via Towards AI …
Image Processing using Spatial Filters
Author(s): Ralph Caubalejo Computer Vision, Programming Giving Space… One of the wonders of image processing is being able to see the pixel values of each image and perform different mathematical operations on it. Since the image is already an array or a matrix, …
Image Processing using Morphological Operations
Author(s): Ralph Caubalejo Computer Vision, Programming Morphing Time! (Image by Author) One of the most essential image processing techniques out there is the so-called morphological operation. As the name suggests, we use morphological operation in cleaning and correcting out the images. Normally, morphological …
Combining the Transformers Expressivity with the CNNs Efficiency for High-Resolution Image Synthesis
Author(s): Louis (What’s AI) Bouchard Tl;DR: They combined the efficiency of GANs and convolutional approaches with the expressivity of transformers to produce a powerful and… Continue reading on Towards AI » Published via Towards AI …
Yolov3 CPU Inference Performance Comparison — Onnx, OpenCV, Darknet
Author(s): Matan Kleyman Computer Vision Yolov3 CPU Inference Performance Comparison — Onnx, OpenCV, Darknet Opencv, Darknet, Onnxruntime Object Detection Frameworks | Image by author Choosing the right inference framework for real-time object detection applications became significantly challenging, especially when models should run on low-powered devices. In …
Deep Hashing for Similarity Search
Author(s): Rutuja Shivraj Pawar DEEP LEARNING, COMPUTER VISION An overview of the novel deep hashing neural networks from the literature Photo by Tolga Ulkan on Unsplash In recent years Approximate Nearest Neighbor (ANN) [1] search has become a prominent topic of research to effectively …
The AI-Powered Online Fitting Room: VOGUE
Author(s): Louis (What’s AI) Bouchard Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you… Continue reading on Towards AI » Published via Towards AI …
The Strengths & Weaknesses of Face2Vec (FaceNet)
Author(s): Jacky Wong Computer Vision Face2Vec is the modern way of identifying the same/similar faces. Face2Vec refers to the process of transforming faces to vectors, a process named vectorization that transforms objects/images/text into numerical representations (if you would like to learn more, …
Image De-noising Using Deep Learning
Last Updated on January 23, 2021 by Editorial Team Author(s): Chintan Dave Computer Vision, Deep Learning Photo by Patrick Tomasso on Unsplash Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to …
DALL·E: Generate Images from Text Captions! Inspired by GPT-3 and Image-GPT from OpenAI
Author(s): Louis (What’s AI) Bouchard OpenAI successfully trained a network able to generate images from text captions. It is very similar to GPT-3 and Image GPT and produces… Continue reading on Towards AI » Published via Towards AI …
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