Computer-Vision-with-Python-Udemy

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Computer-Vision-with-Python-Udemy

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This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.

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# Computer-Vision-with-Python-Udemy

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## Description
  * **Introduction course to Computer Vision with Python**
  * **Make Computer Vision Apps?**
  * **Learn Computer Vision theory?**

This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.

* We will build:  
    * Multimedia apps
    * Image Similarity apps
    * Obect Detection apps
    *  Face detection apps
    * Reverse Image Search app

## Course Content
* **Numpy and Image Basics**
    * NumPy Arrays
    * Image and NumPy
    * NumPu and Image Assessment

* **Image Basics with OpenCV**
    * Opening Image Files in a NoteBook
    * Opening Image Files OpenCV
    * Drawing On Images
    * Direct Drawing with Mouse
    * Image Basics Assessment

* **Image Processing**
    * Color Mappings
    * Blending and Pasting Images
    * Image Thresholding
    * Blurring and Smoothing
    * Morphological Operators
    * Gradients
    * Histograms
    * Image Processing Assessment

* **Video Basics**
    * Connecting to Camera
    * Using Video Files
    * Drawing on Live Camera
    * Video Basics Assessment

* **Object Detection**
    * Template Matching
    * Corner Detection
    * Edge Detection
    * Grid Detection
    * Contour Detection
    * Feature Matching
    * Watershed Algorithm
    * Custom Seeds with WaterShed Algo
    * Face Detection
    * Detection Assessment

* **Object Tracking**
    * Optical Flow
    * MeanShift Tracking
    * CamShift Tracking
    * Tracking APIs
    * Meanshift

* **Deep Learning Computer Vision**
    * Keras Basics
    * Keras CNN MNIST
    * Keras CNN CIFAR-10
    * Deep Learning Custom Images
    * DL-CV_Assessment

* **YOLO Algorithm**
    * YOLO Object Detection
    * Darknet53
    * Yolo Model

* **Capstone Project**
    * Finger Counter Application

## What I learnt
* Understand basics of NumPy
* Manipulate and open Images with NumPy
* Use OpenCV to work with image files
* Use Python and OpenCV to draw shapes on images and videos
* Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
* Create Color Histograms with OpenCV
* Open and Stream video with Python and OpenCV
* Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
* Create Face Detection Software
* Segment Images with the Watershed Algorithm
* Track Objects in Video
* Use Python and Deep Learning to build image classifiers
* Work with Tensorflow, Keras, and Python to train on your own custom images.

## Author

[Ashlesh Khajbage](https://github.com/Ashleshk)

## Instructor

![Jose](https://github.com/Ashleshk/Computer-Vision-with-Python-Udemy/blob/master/resource/jose.jpg)

**Jose Portilla**
> Head of Data Science, Pierian Data Inc.

## Reference Links
1. **Course Reference Thumbnail**

![Course Description](https://github.com/Ashleshk/Computer-Vision-with-Python-Udemy/blob/master/resource/Description.PNG)

> [Udemy](https://www.udemy.com/course/python-for-computer-vision-with-opencv-and-deep-learning/)

2. **Certificate**

![Certificate](https://github.com/Ashleshk/Computer-Vision-with-Python-Udemy/blob/master/resource/Certiifcate.PNG)
 
 3. **I am Extremely ThankFull For**

![Udemy](https://github.com/Ashleshk/Computer-Vision-with-Python-Udemy/blob/master/resource/Udemy.PNG)

5. **Similar Courses**
 > 1. Power BI A-Z_Hands-On Power BI Training For Data Science -> [Course link](https://www.udemy.com/share/101WGaBUEecFdWRnQ=/) - [Github Link](https://github.com/Ashleshk/Power-BI-A-Z-Hands-On-Power-BI-Training-For-Data-Science-Udemy)
 > 2. TensorFlow 2.0 Complete Reference Course -> [Course Link](https://www.udemy.com/share/101qEyBUEecFdWRnQ=/) - [Github Link](https://github.com/Ashleshk/TensorFlow-2.0-Complete-Reference-Course)
 > 3. Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science -> [Course Link](https://www.udemy.com/course/machinelearning/) - [Github Link](https://github.com/Ashleshk/Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science)
 > 4. Modern-Natural-Language-Processing-in-Python -> [Course Link](https://www.udemy.com/course/modern-nlp/learn/) - [Github Link](https://github.com/Ashleshk/Modern-Natural-Language-Processing-in-Python-Udemy)
 > 5. Machine-Learning-Data-Science-Deep-Learning -> [Course Link](https://www.udemy.com/course/data-science-and-machine-learning-with-python-hands-on/learn/) - [Github Link](https://github.com/Ashleshk/Machine-Learning-Data-Science-Deep-Learning)

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