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Neural Style Transfer Using a Simple Python Library
Author(s): Divy Shah A guide to neural style transfer using the neural-style-transfer python library In this tutorial, we will learn how to use the neural-style-transfer library to compose images in the style of other images using just a few lines of code. Neural …
Training Faster R-CNN Using TensorFlow’s Object Detection API with a Custom Dataset
Author(s): Towards AI Team Step-by-step tutorial to train a faster R-CNN for object detection with TensorFlow using a custom dataset Continue reading on Towards AI » Published via Towards AI …
OpenAI’s DALL·E: Text-to-Image Generation Explained
Author(s): Louis (What’s AI) Bouchard OpenAI just released the paper explaining how DALL-E works! It is called “Zero-Shot Text-to-Image Generation”. Continue reading on Towards AI » Published via Towards AI …
Paper Explained: TransGAN — Two Transformers can make One Strong GAN
Author(s): Vatsal Saglani A CNN free GAN network Continue reading on Towards AI » Published via Towards AI …
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 …
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