Kickstarter: PyImageSearch Gurus

Hi there guys! I don’t usually promote stuff but this time I am making an exception. A guy named Adrian Rosebrock recently started a Kickstarter to fund a course which he is creating. He is a Ph.D who has spent his entire adult life studying computer vision, machine learning, and image search engines.

He runs a blog with the name of pyimagesearch. He has already published numerous tutorials relating to Computer Vision. This kickstarter is your shortcut to become a Computer Vision expert. I have read his tutorials a lot and I am sure that you will appreciate the content of his tutorials and this course.

This kickstarter was funded within 25 minutes. If you want to learn Computer Vision then I am sure that you would back it up and obtain this course at a discounted price. Everything is up to you. The contents of this course are as follows:

Computer Vision and OpenCV Basics

  • Image basics
  • Loading, displaying, and saving images
  • Drawing
  • Image processing
  • Histograms
  • Smoothing and blurring
  • Morphological operations
  • Thresholding
  • Gradients and edge detection
  • Contours

Building your own custom object detector

  • Preparing your training data
  • Selecting an image descriptor
  • The sliding window technique
  • Training a classifier
  • Hard negative mining
  • Object detection

Content-Based Image Retrieval/Image Search Engines

  • Constructing a Bag of Visual Words (BoVW)
  • Codebook construction
  • Vector quantization
  • Hard vs. soft codeword assignment
  • Searching
  • Inverted indexes
  • Tf-idf weighting
  • Spatial verification

Standard Image Classification

  • Image pyramids
  • Selecting appropriate image descriptors
  • Evaluation on various datasets, including:
  • Caltech-101
  • Flowers 17
  • …and many more!

Face Recognition

  • Preparing and pre-preprocessing your data
  • Eigenfaces

Automatic license plate recognition

  • Preparing your training data
  • Finding the license plate in images
  • Training your classifier
  • Classifying license plate numbers and digits

Hadoop + Big Data

  • Preparing images for use on HDFS
  • Introduction to Hadoop and MapReduce
  • Running computer vision jobs on MapReduce
  • Elasticsearch and Accumulo for indexing and retrieval
  • High-throughput face detection
  • High-throughput feature extraction

Deep Learning

  • Basic introduction to deep learning
  • Case Studies:
  • Deep Belief Networks
  • Convolutional Neural Networks
  • …applied to various datasets such as

Raspberry Pi Projects

  • Surveillance and motion detection
  • Face recognition for security

Describing Images with Image Descriptors

  • Keypoints (DoG, Harris, etc.)
  • Local invariant descriptors (SIFT, SURF, etc.)
  • Histogram of Oriented Gradients
  • Haralick texture
  • Local Binary Patterns
  • Zernike moments
  • Hu moments
  • …and many more!

Computer Vision Case Studies

  • Face detection in images and photos
  • Eye tracking
  • Object tracking in video
  • Handwriting recognition
  • Plant classification
  • License plate recognition
  • Finding regions of text in document images
  • Measuring distance from camera to object in image

See you next time with the “Extracting data from Google maps” tutorial. Bye and be safe.

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