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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Deep Learning

This chapter contains recipes for:

  • Representing images as tensors/blobs
  • Loading Deep Learning models from Caffe, Torch, and TensorFlow formats
  • Getting input and output tensors' shapes for all layers
  • Preprocessing images and inference in convolutional networks
  • Measuring inference time and contributions to it from each layer
  • Classifying images with GoogleNet/Inception and ResNet models
  • Detecting objects with the Single Shot Detection (SSD) model
  • Segmenting a scene using the Fully Convolutional Network (FCN) model
  • Face detection using Single Shot Detection (SSD) and the ResNet model
  • Prediction age and gender
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