Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...
The use of “trusted” digital ID software to verify your identity online in the UK has taken on a statutory footing as of 1 December. The measures contained in the Data (Use and Access) Act, which ...
Zach Griff is a senior reporter at TPG. He writes travel and product reviews, deep dives into loyalty programs, news about the airline industry and more. The cards we feature here are from partners ...
A survey found many users prefer Gemini for creating images. It dominates both personal and enterprise use. Use cases for AI images and video differ widely. At a glance, 74% of respondents use Google ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...
Image detection plays a critical role in quality control across manufacturing and healthcare sectors, yet existing methods struggle to meet real-world requirements due to their heavy reliance on large ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
As if suspiciously AI-generated descriptions of real estate listings weren’t enough, agents are starting to use AI-generated images of houses that don’t exist to sell expensive properties. The ...
def getImg(url): request = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"}) return cv2.imdecode(np.frombuffer(request.read(), dtype=np.uint8), cv2 ...