GeezerVison is showing thepythoncode.com — Python Code - Computer Vision Tutorials and Recipes
Topic
Computer Vision Tutorials
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
Mastering YOLO: Build an Automatic Number Plate Recognition System
Building a real-time automatic number plate recognition system using YOLO and OpenCV library in Python, order your copy now!
Learn how to build an automated pothole detection system using YOLOv5. This step-by-step tutorial covers environment setup, model training with a custom dataset, and running inference for real-time detection on images.
Explore the critical role of Non-Maximum Suppression (NMS) in object detection to eliminate redundant bounding boxes, ensuring precise results. This guide covers NMS's workings, the importance of Intersection-over-Union (IoU), and how to implement NMS with OpenCV in Python.
Master Python facial recognition with our step-by-step tutorial. Build real-time and image upload systems to identify faces with precision. Essential for security, attendance, and more. Perfect for beginners. Dive into the biometric tech world now!
Learn how to cartoonify images using Python and OpenCV in this step-by-step tutorial. Transform regular photos into cartoon-like visuals with just a few lines of code. Perfect for beginners in computer vision.
Learn how to use stable diffusion 4x upscaler to upscale your low-resolution images into high quality images with Huggingface transformers and diffusers libraries in Python.
Learn how you can control images generated by stable diffusion using ControlNet with the help of Huggingface transformers and diffusers libraries in Python.
Learn the current state-of-the-art models (such as BLIP, GIT, and BLIP2) for visual question answering with huggingface transformers library in Python.
Learn how you can generate similar images with depth estimation (depth2img) using stable diffusion with huggingface diffusers and transformers libraries in Python.
Learn how to fine tune the Vision Transformer (ViT) model for the image classification task using the Huggingface Transformers, evaluate, and datasets libraries in Python.
Learn how to use pre-trained image captioning transformer models and what are the metrics used to compare models, you'll also learn how to train your own image captioning model with Pytorch and transformers in Python.
Learn how to build a complete GUI QR code generator and reader program in Python using Tkinter, qrcode and OpenCV libraries.
Claim your Free YOLO EBook
Download a Completely Free EBook about YOLO Object Detection
Build a custom object detector with YOLO from scratch using OpenCV in Python following this free EBook!
You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.