[Udemy] Learn Computer Vision in 30 Days [8/2026, ENG] [TorrentX]

Learn Computer Vision in 30 DaysГод выпуска: 8/2026 Производитель: Udemy Сайт производителя: https://www.udemy.com/course/learn-computer-vision-in-30-days/ Автор: Felipe Tambasco Продолжительность: 22h 12m Тип раздаваемого материала: Видеоурок Язык: Английский Описание: This course teaches computer vision through 30 hands-on projects, taking you from foundational image processing to advanced concepts while working with core libraries and frameworks including OpenCV, Scikit-learn, YOLO, and Detectron2. You build practical skills in object detection, image classification, segmentation, and pose estimation, with the structure progressing from fundamental image processing operations to machine learning and deep learning methods for more complex visual recognition tasks.Beyond model building, you gain experience integrating computer vision into real applications: deploying models to the cloud with AWS, building web apps with Streamlit and Langchain, creating APIs, and running inference on edge devices. You also work with tools like AWS Rekognition and explore combining vision models with LLMs to create more capable systems, while developing the ability to evaluate and compare different approaches and understand trade-offs between models and how much data is needed for reliable performance. By the end, you'll be able to design, train, and deploy computer vision systems across a wide range of practical use cases, with a stronger understanding of feature extraction, model training, and dataset preparation. The instructor also welcomes Q&A feedback if any referenced resource becomes unavailable or content becomes outdated. Содержание 1 - Introduction 1 - Introduction (00:43)2 - Beginner projects 2 - Day 1 OpenCV with Python Full Course (03:11:10) 3 - Day 2 Color detection with Python and OpenCV (20:00) 4 - Day 3 Face Anonymizer with Python and OpenCV (42:16) 5 - Day 4 Text detection with Python, OpenCV and EasyOCR (15:38) 6 - Day 5 Image classification with Python and Scikit learn (32:27) 7 - Day 6 Emotion detection with Python, OpenCV and Scikit Learn (34:41) 8 - Day 7 Image classification + feature extraction with Python and Scikit learn (21:59) 9 - Day 8 Sign language detection with Python and Scikit Learn (55:36) 10 - Day 9 Image classification web application with Python and Streamlit (41:07) 11 - Day 10 Object detection with AWS Rekognition (33:24)3 - Intermediate projects 12 - Day 11 Object detection and tracking with Yolo (12:34) 13 - Day 12 Image segmentation on custom data with Yolo (46:25) 14 - Day 13 Pose detection on custom data with Yolo (52:25) 15 - Day 14 Parking spot detection and counter (01:03:01) 16 - Day 15 Train object detection on custom data with Yolo (46:50) 17 - Day 16 End to end pipeline real world computer vision project (01:01:23) 18 - Day 17 Image processing API with AWS API Gateway + Lambda function (40:02) 19 - Day 18 Experiment How much data you need to train a compute vision model (20:47) 20 - Day 19 Object detection ESP32 CAM + Python Yolov8 (31:53) 21 - Day 20 Train objec