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Computer Vision: Python OCR and Object Detection Quick Starter

You're reading from   Computer Vision: Python OCR and Object Detection Quick Starter Get to grips with optical character recognition, image recognition, object detection, and object recognition using Python

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Product type Video
Published in Oct 2020
Last Updated in Jun 2021
Publisher Packt
ISBN-13 9781800567481
Length 4hrs 41mins
Edition 1st Edition
Languages
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Author (1):
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Abhilash Nelson Abhilash Nelson
Author Profile Icon Abhilash Nelson
Abhilash Nelson
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Toc

Table of Contents (33) Chapters Close

1. Course Introduction and Table of Contents FREE CHAPTER 2. Introduction to OCR Concepts and Libraries 3. Setting Up Environment - Anaconda 4. Python Basics (Optional) 5. Tesseract OCR Setup 6. OpenCV Setup 7. Tesseract Image OCR Implementation 8. Optional: cv2.imshow() Not Responding Issue Fix 9. Introduction to CNN - Convolutional Neural Networks - Theory Session 10. Installing Additional Dependencies for CNN 11. Introduction to VGGNet Architecture 12. Image Recognition Using Pre-Trained VGGNet16 Model 13. Image Recognition Using Pre-Trained VGGNet19 Model 14. Image Recognition Using Pre-Trained ResNet Model 15. Image Recognition Using Pre-Trained Inception Model 16. Image Recognition Using Pre-Trained Xception Model 17. Introduction to MobileNet-SSD Pre-Trained Model 18. MobileNet-SSD Object Detection 19. Mobilenet SSD Real-Time Video 20. Mobilenet SSD Pre-Saved Video 21. Mask RCNN Pre-Trained Model Introduction 22. MaskRCNN Bounding Box Implementation 23. MaskRCNN Object Mask Implementation 24. MaskRCNN Real-Time Video 25. MaskRCNN Pre-saved Video 26. YOLO Pre-Trained Model Introduction 27. YOLO Implementation 28. YOLO Real-Time Video 29. YOLO Pre-Saved Video 30. Tiny YOLO Pre-Saved Video 31. Tiny YOLO Real-Time Video 32. YOLOv4 - Step 1 - Updating OpenCV Version 33. YOLOv4 - Step 2 - Object Recognition Implementation
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