What is Perspective Warping? | OpenCV and Python
Author(s): G SowmiyaNarayanan Originally published on Towards AI. A step-by-step guide to applying a perspective transformation on images Computer vision is all abuzz now. People everywhere are working on some form of deep-learning-based computer vision projects. But before the advent of Deep …
Crack Detection in Concrete
Author(s): Chittal Patel Originally published on Towards AI. Photo by Maud CORREA on Unsplash Computer Vision Using Computer Vision Introduction Crack detection is crucial in monitoring the health of infrastructural buildings. As seasons change and the level of moisture remains inconsistent across …
StyleGAN3: Allias-Free GAN
Author(s): Albert Nguyen Originally published on Towards AI. Have you ever thought of a movie that is totally generated by AI? Recent advancements in generative AI have shown promising results in controllable image generation. Generators like StyleGAN2 can produce realistic images. See …
Top Computer Vision Papers During Week From 10/7 To 16/7
Author(s): Youssef Hosni Originally published on Towards AI. Join Medium with my referral link – Youssef Hosni Computer vision, a field of artificial intelligence focused on enabling machines to interpret and understand the visual world, is rapidly evolving with groundbreaking research and …
Manipulate Images with Blobs! BlobGAN Explained
Author(s): Louis Bouchard Originally published on Towards AI. A GAN model that uses simple blobs to manipulate objects in imagesβ¦ Originally published on louisbouchard.ai, read it 2 days before on my blog! If you think that the progress with GANs was over, …
Differences and Connections between Natural Language Processing and Computer Vision from a Machine Learning Perspective
Author(s): Hao WEI Originally published on Towards AI. Natural language processing, computer vision, machine learning I recently moved from the computer vision (CV) domain to the natural language processing (NLP) domain and found some interesting observations. The two domains are quite different …
Diffusion Models β my βsecond?β artist.
Author(s): Albert Nguyen Originally published on Towards AI. Diffusion Models are one of the most popular algorithms in Deep Learning. It is widely used in many applications, such as image generation, object detection, and text-to-image generation. In this article, I will explain …
TensorFlow OCR Model for Reading Captchas
Author(s): Rokas Liuberskis Originally published on Towards AI. Training a Custom OCR for Captcha Image Text Extraction with TensorFlow and CTC Loss Function: A Step-by-Step Guide. Using the mltu Library to Simplify the Process https://www.youtube.com/embed/z_6P0PilBmM The Most Advanced Data Science Roadmaps Youβve …
How to Anonymize Faces in Images with Deep Learning and Computer Vision
Author(s): Edwin Tan Originally published on Towards AI. Photo by Alexandra Gorn on Unsplash Face blurring is a technique used to anonymize the identity of a person in an image or video by pixelating or covering the face with a blur effect. …
How do the text2image Models Work?
Author(s): Anton Lebedev Originally published on Towards AI. You probably have heard about Dalle-2, Midjourney, and Stable Diffusion. These are models that generate images from text. Recently, they have advanced to the point where artists are protesting by putting pictures with calls …
Image Editing from Text Instructions: InstructPix2Pix
Author(s): Louis Bouchard Originally published on Towards AI. The hottest image editing AI, InstructPix2Pix, explained! Originally published on louisbouchard.ai, read it 2 days before on my blog! https://www.youtube.com/embed/EJacROjI84s We know that AI can generate images; now, letβs edit them! This new model …
What Makes Computer Vision AI Development So Risky?
Author(s): Sumit Singh Originally published on Towards AI. Photo by charlesdeluvio on Unsplash Reports suggest 80% of computer vision development effort goes directly into labeling large volumes of data. But if you talk to any ML practitioners they would unanimously say that …
Segformer: An Efficient Transformers Design for Semantic Segmentation
Author(s): Albert Nguyen Originally published on Towards AI. Transformers have taken the machine-learning world by storm in the last few years. Their performances surpass state-of-the-art in Natural Language Processing tasks with the self-attention mechanism and even extend the dominance to Computer Vision. …