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Udemy - Complete Python Image Processing with Scikit-image Course
Udemy - Complete Python Image Processing with Scikit-image Course

Become a Master in Image Processing with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level image processing and computer vision professional can earn minimum $100000 (that's five zeros after 1) in today's economy.


Description

Become a Master in Image Processing with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level image processing and computer vision professional can earn minimum $100000 (that's five zeros after 1) in today's economy.

This is themost comprehensive, yet straight-forward course for the Image Processing with Python 3 on Udemy!Whether you have never worked with Image Processing before, already know basics of Python, or want to learn the advanced features of scikit-image with Python 3, this course is for you! In this course we willteach you Scikit-image with Python 3, Jupyter, NumPy, and Matplotlib.

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

Withover 85 lecturesand more than 10.5 hours of video this comprehensive course leaves no stone unturned in teaching you Image Processing with Python 3!

This course will teach you Image Processing in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, Jupyter, and Scikit-learn installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

  • Basics of Scientific Python Ecosystem

  • Basics of Digital Image Processing

  • Basics of NumPy and Matplotlib

  • Installation of Python 3 on Windows

  • Setting up Raspberry Pi

  • Tour of Python 3 environment on Raspberry Pi

  • Jupyter installation and basics

  • NumPy Ndarrays

  • Array Creation Routines

  • Basic Visualization with Matplotlib

  • Ndarray Manipulation

  • Random Array Generation

  • Bitwise Operations

  • Statistical Functions

  • Basics Image Processing with NumPy and Matplotlib

  • Installation of Scikit-image

  • Reading and Displaying Images

  • Shapes

  • Transformations on images

  • Histogram Equalization

  • Thresholding

  • Filtering

  • Morphology

  • Improving Images

  • Feature Detection

  • Segmentation

  • Miscellaneous operations on images

  • and much more.....

You will get lifetime access to over 80 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures!

So what are you waiting for? Learn Image Processing with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Bu kurs kimler için uygun:

  • Computer Vision and Image/Signal Processing Professionals
  • Digital Imaging Professionals
  • AI and Machine Learning Professionals
  • Robotics Professionals
  • Data Science Professionals
  • Scientists
  • Mathematicians
  • Physicists
  • Anyone with zeal and enthusiasm to learn

Course content

  • Introduction
    • Objectives, Prerequisites, and Audience
    • Course Content Walkthrough
    • The Scientific Python Ecosystem
    • What is Image Processing
    • Please do leave your feedback for the course
    • What is Computer Vision
    • What is scikit-image
    • Projects in the Scientific Python Ecosystem
  • Installation of Python 3 on a Windows Computer
    • Installation of Python 3 on a Windows Computer
    • Verify the Python 3 environment on Windows OS
  • Python 3 on Raspberry Pi
    • What is Raspberry Pi?
    • Unboxing Raspberry Pi
    • URLs for Softwares needed to setup Raspberry Pi
    • Raspberry Pi Raspbian OS Setup Part 1
    • Raspberry Pi Raspbian OS Setup Part 2
    • VNC
    • Linux commands used in the Raspberry Pi Setup
    • Install IDLE3 on Raspberry Pi Raspbian
    • Python 3 on Raspberry Pi
  • Basics of Python 3
    • Hello World! on Windows
    • Hello World! on Raspberry Pi
    • Python 3 Interpreter vs Script Mode
    • IDLE
    • Raspberry Pi vs PC
  • Python Package Index and pip
    • PyPI and pip
    • pip on Windows
    • pip on Raspberry Pi
  • Installing NumPy and Matplotlib
    • Install NumPy and Matplotlib on Windows
    • Install NumPy and Matplotlib on Raspberry Pi
  • Jupyter Notebook for Scientific Computing
    • Jupyter and IPython
    • Jupyter Installation on Windows
    • Jupyter Installation on Raspberry Pi
    • Install PuTTy on Windows
    • Connecting to the Remote Jupyter Notebook Server
    • A brief tour of Jupyter
    • Jupyter Installation and Remote connection commands
  • Introduction to NumPy
    • What is NumPy
    • Ndarrays, Indexing, and slicing
    • Ndarray Properties
    • NumPy Constants
    • NumPy Datatypes
  • Creating and visualizing NumPy Ndarrays
    • Ones and Zeros
    • Matrices
    • What is Matplotlib
    • Numerical Ranges and Visualization
  • Random Sampling
    • Generating Ndarrays with Random values
  • Ndarray Manipulation Routines
    • Ndarray Manipulation Routines
  • Bitwise Operations
    • Bitwise Operations
  • Statistical Functions in NumPy
    • Statistical Functions in NumPy
  • NumPy and Matplotlib for Image Processing
    • Image Datasets for Practice
    • Pillow installation on Windows and Raspberry Pi
    • Reading Displaying and Saving Images with Matplotlib
    • Numpy for Images
    • Image Statistics
    • Image Masks
    • Image Channels
    • Arithmetic Operations
    • Logical Operations
    • Histograms with NumPy and Matplotlib
  • scikit-image installation on Windows and Raspberry Pi
    • Install SciPy on Windows
    • Install SciPy on Raspberry Pi
    • scikit-image installation on Windows
    • scikit-image installation on Raspberry Pi
    • Downloadable Installation Guide
  • Getting Started with scikit-image
    • Getting Started
    • Shapes.. Shapes.. Shapes......
    • Color Conversion
  • Transformations, Thresholding, and Histogram Equalization
    • Thresholding
    • Transformations
    • Histogram Equalization
  • Filters in scikit-image
    • Filters - Part 1
    • Filters - Part 2
    • Filters - Part 3
  • Morphology and Image Restoration
    • Morphology
    • Image Restoration
  • Noise and Noise Reduction
    • Noise
    • Noise Reduction
  • Feature Detection
    • Canny Edge Detector
    • Harris Corner Detection
  • Segmentation
    • SLIC Segmentation
    • Region Boundary based RAGs
    • Watershed
    • More Watershed
    • Compact Watershed
    • Draw RAGs
    • Compare Segmentation Methods
  • Advanced Operations on Image
    • Tinting Greyscale Images
    • Contours
    • Convex Hull
    • Skeletonization
  • More Scikit-image
    • Image as Blocks
    • Immunohistochemistry
    • interpolation Edge Modes
    • Scaling
    • Structural Similarity index
    • Phase unwrapping
    • Histogram Oriented gradients
    • Template Matching
    • Peaks and Holes
    • CENSURE
  • Downloadable Contents
    • Downloadable Jupyter Notebooks
    • BONUS LECTURE

Udemy - Complete Python Image Processing with Scikit-image Course (Updated 11.2019)

Complete_Python_Image_Processing_with_Scikit-image_Course.part1.rar

Complete_Python_Image_Processing_with_Scikit-image_Course.part2.rar

Complete_Python_Image_Processing_with_Scikit-image_Course.part3.rar


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