PyImageSearch 10 lessons.pdf

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[1 of 14] START HERE Your PyImageSearch Gurus Syllabus

[2 of 14] Automatic License Plate Recognition (ANPR)

[3 of 14] Dive into Deep Learning and CNNs

Face recognition for security _ PyImageSearch Gurus

[5 of 14] Training your own custom object detector

[6 of 14] CBIR & Image Search Engines

[7 of 14] Hadoop + Big Data

[8 of 14] Image Classification + Machine Learning

[9 of 14] Image Descriptors

[10 of 14] Mastering computer vision basics

PyImageSearch Gurus A course and community designed to take you from computer vision beginner to expert. Guaranteed The PyImageSearch Gurus course covers 13 modules broken out into 168 lessons, with other 2,161 pages of content — this syllabus lists each and every lesson inside the course. To check out the syllabus, just move to the next slide.

Computer Vision & Image Processing Basics Loading, displaying, and saving images Image basics Drawing Basic image processing Transla9on Rota9on Resizing Flipping Cropping Image arithme9c © 2016 PyImageSearch. All Rights Reserved. 1.1 1.2 1.3 1.4 1.4.1 1.4.2 1.4.3 1.4.4 1.4.5 1.4.6

Computer Vision & Image Processing Basics (cont.) 1.4.7 1.4.8 1.4.9 1.5 1.6 1.7 1.8 1.9 Bitwise opera9ons Masking SpliCng and merging channels Kernels Morphological opera9ons Smoothing and blurring Ligh9ng and color spaces Thresholding 1.10 Gradients and edge detec9on 1.10.1 Gradients © 2016 PyImageSearch. All Rights Reserved.

Computer Vision & Image Processing Basics (cont.) 1.10.2 Edge detec9on 1.11 Contours 1.11.1 1.11.2 1.11.3 1.11.4 1.11.5 1.12 1.13 Finding and drawing contours Simple contour proper9es Advanced contour proper9es Contour approxima9on Sor9ng contours Histograms Connected-‐component labeling © 2016 PyImageSearch. All Rights Reserved.

Train Your Own Custom Object Detectors 2.1 2.1.1 2.1.2 2.2 2.2.1 2.2.2 2.3 2.3.1 2.3.2 What are object detectors? An introduc9on to object detec9on Template matching Object detec9on: The easy way How to install dlib Object detec9on made easy Sliding windows and image pyramids Image pyramids Sliding windows © 2016 PyImageSearch. All Rights Reserved.

Train Your Own Custom Object Detectors (cont.) 2.4 2.5 2.6 2.7 2.8 2.9 2.10 2.11 2.12 The 6-‐step framework Preparing your experiment and training data Construc9ng your HOG descriptor The ini9al training phase Non-‐maxima suppression Hard-‐nega9ve mining Re-‐training and running your classiﬁer Training your custom object detector Tips on training your own object detectors © 2016 PyImageSearch. All Rights Reserved.

Content-‐Based Image Retrieval 3.1 3.2 3.3 3.3.1 3.3.2 3.3.3 3.3.4 3.4 3.5 3.6 3.7 3.8 What is Content-‐Based Image Retrieval? Your ﬁrst image search engine The 4 steps of building any image search engine Deﬁning your image descriptor Feature extrac9on and indexing Deﬁning your similarity metric Searching The bag of (visual) words model Extrac9ng keypoints and local invariant descriptors Clustering features to form a codebook Visualizing words in a codebook Vector quan9za9on © 2016 PyImageSearch. All Rights Reserved.

Content-‐Based Image Retrieval (cont.) 3.8.1 3.8.2 3.9 3.9.1 3.9.2 3.9.3 3.10 3.11 3.12 3.12.1 3.12.2 3.13.3 From mul9ple features to a single histogram Forming a BOVW Inverted indexes and searching What is Redis? Building an inverted index Performing a search Spa9al veriﬁca9on Tf-‐idf weigh9ng Spa9al veriﬁca9on Implemen9ng spa9al veriﬁca9on Searching with spa9al veriﬁca9on Evalua9ng search with spa9al veriﬁca9on © 2016 PyImageSearch. All Rights Reserved.

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