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Book Overview & Buying
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Table Of Contents
Computer Vision: YOLO Custom Object Detection with Colab GPU
By :
Computer Vision: YOLO Custom Object Detection with Colab GPU
By:
Overview of this book
Object detection is the most commonly used application of computer vision, which also helps the computer recognize and classify objects inside an image. This video course will help you learn Python-based object recognition methods and develop custom object detection models.
The course begins with an introduction to the You Only Look Once (YOLO) object detection system, Python programming, and Convolutional Neural Networks (CNNs). You will learn object detection by installing Anaconda on your computer and the OpenCV library in Python. Next, you will learn to perform object detection and recognition on a single object in an image and on a real-time webcam video using YOLO pre-trained model and Common Objects in Context (COCO) dataset.
Moving ahead, you will learn the pros and cons of using a pre-trained dataset model and a custom dataset trained model. In addition, you will get an overview of the free GPU offered by Google Colab. Toward the end, you will learn to create a custom dataset and train a darknet YOLO model to detect coronavirus from an electron microscope image or video output.
By the end of this video course, you will develop the skills required to build object recognition models using predefined and custom datasets.
Table of Contents (26 chapters)
Course Introduction and Table of Contents
Introduction to You Only Look Once (YOLO) Object Detection
Environment Setup - Installing Anaconda
Python Basics
Installing OpenCV Library
Introduction to Convolutional Neural Networks (CNNs)
You Only Look Once (YOLO) Pre-Trained Object Detection from Image
You Only Look Once (YOLO) Pre-Trained Object Detection from an Image – Non-Maximum Suppression (NMS)
You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video
You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video
Introduction to the Custom-Trained You Only Look Once (YOLO) Model
YOLOv4 Custom Training Phase 1 – Preparing Darknet
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Collection
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Image Labelling
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split
You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Preparation
You Only Look Once v4 (YOLOv4) Custom Training Phase 3 – Data Sync
You Only Look Once v4 (YOLOv4) Custom Training Phase 4 - Compile and Test Darknet
You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis
You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights
Colab GPU Usage Limit Issue
OpenCV Upgrade for You Only Look Once v4 (YOLOv4)
You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video
You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image
You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video
Other Sample Real-World Case Studies
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