Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, Facebook's next-gen library providing cutting-edge detection and segmentation algorithms. It’s used in research and practical projects at Facebook to support computer vision tasks, and its models can be exported to TorchScript or ONNX for deployment.

The book provides you with step-by-step guidance on using existing models in Detectron2 for computer vision tasks (object detection, instance segmentation, key-point detection, semantic detection, and panoptic segmentation). You’ll get to grips with the theories and visualizations of Detectron2’s architecture and learn how each module in Detectron2 works. As you advance, you’ll build your practical skills by working on two real-life projects (preparing data, training models, fine-tuning models, and deployments) for object detection and instance segmentation tasks using Detectron2. Finally, you’ll deploy Detectron2 models into production and develop Detectron2 applications for mobile devices.

By the end of this deep learning book, you’ll have gained sound theoretical knowledge and useful hands-on skills to help you solve advanced computer vision tasks using Detectron2.

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Spis treści

Hands-On Computer Vision with Detectron2. Develop object detection and segmentation models with a code and visualization approach eBook -- spis treści

• 0. Product Information Document
• 1. An Introduction to Detectron2 and Computer Vision Tasks
• 2. Developing Computer Vision Applications Using Existing Detectron2 Models
• 3. Data Preparation for Object Detection Applications
• 4. The Architecture of the Object Detection Model in Detectron2
• 5. Training Custom Object Detection Models
• 6. Inspecting Training Results and Fine-Tuning Detectron2's Solver
• 7. Fine-Tuning Object Detection Models
• 8. Image Data Augmentation Techniques
• 9. Applying Train-Time and Test-Time Image Augmentations
• 10. Training Instance Segmentation Models
• 11. Fine-Tuning Instance Segmentation Models
• 12. Deploying Detectron2 Models into Server Environments
• 13. Deploying Detectron2 models into Browsers and Mobile Environments