Category: Computer Vision

Computer Vision

Searching through photos from the air of lost people in the forest with python

lacmus The program for searching through photos from the air of lost people in the forest using Retina Net neural nwtwork. The project is being developed by a non-profit organization Liza Alert. Demonstration Picture 1 Picture 2 Training data You can download Lacmus Drone Dataset (LaDD) from mail.ru cloud You also can download Lacmus version of Stenford Drone Dataset (SDD) from mail.ru cloud GitHub https://github.com/lacmus-foundation/lacmus    

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Computer Vision

Segmentation toolbox for EM connectomics

pytorch_connectomics The field of connectomics aims to reconstruct the wiring diagram of the brain by mapping the neural connections at the level of individual synapses. Recent advances in electronic microscopy (EM) have enabled the collection of a large number of image stacks at nanometer resolution, but the annotation requires expertise and is super time-consuming. Here we provide a deep learning framework powered by PyTorch for automatic and semi-automatic semantic and instance segmentation in connectomics, which is called PyTorch Connectomics (PyTC). […]

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Computer Vision

A Computer vision package that makes its easy to run Image processing

CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries. Installation You can simply use pip to install the latest version of cvzone. pip install cvzone 60 FPS Face Detection import cvzone import cv2 cap = cv2.VideoCapture(0) detector = cvzone.FaceDetector() while True: success, img = cap.read() img, bboxs = detector.findFaces(img) print(bboxs) cv2.imshow(“Image”, img) cv2.waitKey(1) Hand Tracking Basic Code Example import cvzone import cv2 […]

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Computer Vision

GitHub self-hosted runner matrix build visualizations for Kubernetes

visualize-actions-matrix-builds-on-k8s This repository contains various GitHub Action workflows to trigger Matrix builds on self-hosted GitHub Action runners and visualize their outputs and pod allocations on LED matrices connected to Raspberry PI. Similar visualization scripts are also available for desktop PCs. Watch a one minute video how runners spin up based on a GitHub matrix build, wtach their pods in Kubernetes and see how they stream their work to a widget. … and another movie showing the LED matrix showing the […]

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Computer Vision

Computer Vision based ID verification solution provided by LibraX

ID Verification by LibraX.ai This is the first free Identity verification in the market. LibraX.ai is an identity verification platform for developers. This solution is to verify user ID image for name matching, age, and basic fraud detection for ID. LibraX is providing to give this service for free as long as we are in business, and you can reach out to [email protected] for any add-on features or customized requirement. How to use the API? For ID Verfication use the […]

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Computer Vision, NLP

Computational Methods for Physics & Astronomy

ComputationalMethods Computational Methods Course at UdeA. by: Sebastian Bustamante 2014/2015 Diego Restrepo ** 2017/… This course is intended for students of Astronomy and Physics at the Universidad de Antioquia and will cover some numerical methods commonly used in science and specially in astronomy. These topics will be addressed from a formal context but also keeping a practical and computational approach, illustrating many useful applications in problems of physics and astronomy. The practical component will be almost entirely developed in Python […]

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Beginner, Career, Computer Vision, Machine Learning, NLP Leave a comment

Quick Guide to AI and ML Universe for Business Leaders

This article was published as a part of the Data Science Blogathon. Introduction Ever since the advent of Globalisation, the environment in which a business operates is constantly changing. An important component of the business environment is the technological environment. Technology, also, as we all know is constantly changing, updating with new trends coming in every day. Thus, it becomes imperative for businesses to understand and keep up with the technology trends to survive in the market. One thing that […]

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Beginner, Career, Computer Vision, Data Exploration, Data Visualization, Deep Learning, Education, Excel, Interviews, Learning Path, NLP, Python, SQL, Statistics, Tableau, TIME SERIES Leave a comment

A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. From face recognition cameras, smart personal assistants to self-driven cars. We are moving towards a world enhanced by these recent upcoming technologies. It’s the most exciting time to be in this career field! The global Artificial Intelligence market is expected to grow to $400 billion by the year 2025. From Startups to big organizations, all want to join […]

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Computer Vision Leave a comment

Microsoft Vision Model ResNet-50 combines web-scale data and multi-task learning to achieve state of the art

Microsoft Vision Model ResNet-50 is a state-of-the-art pretrained ResNet-50 model, measured above by the mean average score across seven popular computer vision benchmarks. Pretrained vision models accelerate deep learning research and bring down the cost of performing computer vision tasks in production. By pretraining one large vision model to learn general visual representation of images, then transferring the learning across multiple downstream tasks, a team achieves competitive performance at a fraction of the cost when compared to collecting new  

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Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

Implementation of Attention Mechanism for Caption Generation on Transformers using TensorFlow

Overview Learning about the state of the art model that is Transformers. Understand how we can implement Transformers on the already seen image captioning problem using Tensorflow Comparing the results of Transformers vs attention models.   Introduction We have seen that Attention mechanisms (in the previous article) have become an integral part of compelling sequence modeling and transduction models in various tasks (such as image captioning), allowing modeling of dependencies without regard to their distance in the input or output […]

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