Face Detection with OpenCV in Python - OpenCV Python Tutorial for Beginners
Learn face detection using OpenCV in Python, covering concepts from basic detection to deep learning applications. Gain practical skills through hands-on tutorials and real-world examples.
Adding Augmented Reality to Your Typescript Project
Learn to integrate WebXR and Augmented Reality into TypeScript projects using BabylonJS, covering 3D concepts, demos, and practical implementation techniques for immersive web experiences.
Deep Learning
Explore deep learning fundamentals, computer vision, TensorFlow, Keras, transfer learning, and advanced topics like TPUs in this comprehensive introduction to neural networks.
Image Processing in MATLAB
Learn essential image processing techniques in MATLAB, from basic operations to advanced filters and edge detection. Gain practical skills for manipulating, analyzing, and enhancing digital images efficiently.
Deep Learning Using Matlab
Explore deep learning concepts and implement neural networks, including CNNs, using MATLAB for practical applications in image classification and beyond.
Image Processing Using OpenCV
Learn essential OpenCV techniques for image manipulation, including reading, converting, resizing, and editing images, as well as working with videos and building interactive tools.
OSINT at Home - Tutorials on Digital Research, Verification and Open Source Investigations
Learn digital investigation techniques, from image reverse search to geolocation and chronolocation. Develop OSINT skills for verifying social media content and conducting open-source research, applicable to journalism, human rights, and intelligence ana…
Deep Learning for Computer Vision
The automatic analysis and understanding of images and videos, a field called Computer Vision, occupies significant importance in applications including security, healthcare, entertainment, mobility, etc.
Edge Filters for Image Processing
Edge filters for image processing: Learn Roberts, Sobel, Prewitt, and Canny filters. Practical Python implementation for emphasizing edges in images. Suitable for various applications.
NeRFs- Neural Radiance Fields - Paper Explained
Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.
Vision Transformer and Its Applications
Explore vision transformers' architecture, self-attention in computer vision, and applications in recognition, segmentation, and multi-modal learning. Discover their potential for general-purpose model architectures.
Advanced VFX Simulations - Houdini Tutorial
Learn advanced VFX simulations in Houdini, covering procedural modeling, RBD tools, material fracture, and more. Master techniques for creating realistic destruction effects and dynamic visual elements.
Blend Images with Reverse Engineering in Midjourney
Learn advanced image blending techniques in Midjourney v5 using reverse engineering and multiprompt methods for more creative and controllable results.
Diffusion Models - PyTorch Implementation
Learn to implement and train diffusion models in PyTorch, covering unconditional and conditional versions, classifier-free guidance, and exponential moving average. Gain hands-on experience with state-of-the-art generative AI techniques.
Draw Mount Fuji in Procreate
Step-by-step tutorial for drawing Mount Fuji in Procreate, covering techniques like gradients, textures, and layer blending. Learn to create a stunning digital landscape illustration.
Automatic Number Plate Recognition Using Tensorflow and EasyOCR - Python
Learn to build a real-time Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR. Covers plate detection, OCR application, and result saving for practical implementation.
Tensorflow Object Detection with Python - Full Course with 3 Projects
Comprehensive guide to Tensorflow Object Detection: from setup to advanced projects. Learn to build, train, and deploy models for gesture, defect, and sentiment detection using Python, JavaScript, and Raspberry Pi.
Build a Deep Face Detection Model With Python and Tensorflow - Full Course
Comprehensive guide to building a face detection model using TensorFlow and Python, covering data collection, augmentation, model creation, training, and real-time testing for practical implementation.
Upscale Your Images Using Deep Super Resolution With ESRGAN
Enhance image resolution using ESRGAN and Python. Learn to upscale images up to 4x size with this beginner-friendly tutorial covering repo cloning, model setup, and dependency installation.
Creating a Machine Learning GUI App with Taipy and TensorFlow
Build a stylish GUI for image classification using Taipy and TensorFlow. Learn to process images, create neural networks, and design user-friendly interfaces for machine learning applications.
Stable Diffusion
Explore latent diffusion models for AI image generation, including unconditional generation and super-resolution techniques.