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Python - OpenCV and PyQt5 together

LeeAndro

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Trusted Editor
Python - OpenCV and PyQt5 together
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 51 lectures (8h 14m) | Size: 3.47 GB

Create desktop App with image processing techniques and Machine Learning Algorithms.


Learn to use OpenCV and PyQt5 together with Machine Leaning

OpenCV - I/O scripts, drawing on image, save video from webcam

OpenCV - Histogram, Thresholding, Converting to another color space

OpenCV - Features detection, counting objects in image, Hough Transform

OpenCV - SIFT algorithm

PyQT5 - MainWindow, Menubar, Toolbar, Statusbar, Layouts, Linking to CSS

PyQt5 - Menus & Functions, Displaying image, perform actions on the image

PyQt5 - Messagebox, information & question

Machine Learning - Subdivision, overview

Machine Learning - Classification, Regression, Clustering

Machine Learning - The way to choose an Algorithm

Machine Learning - KNN & K-means demonstration

Machine Learning - Detection & Classification of objects on an image

Detection & Classification of objects on live video

& desire to learn

A working computer :)

Python basics is a plus

Learning from videos is one of the best way to learn! This course explains basics and advanced topics in OpenCV library that is used for machine vision, and also PyQt5 to create real Desktop App with Machine Learning Algorithms. A short overview on some Machine Learning Algorithms explained with pros and cons of each of them. After this knowledge, you should be able to create other applications with UI, processing images, and with Machine Learning algorithm either for classification, regression or clustering. With some basics in Python, you will understand every single coma in the videos. The course is made to be for 'All Levels', so everyone should understand everything without basic knowledge on libraries that are used. However, as it is said several s in the videos, it is a better way to go by learning a language before leaning a library. This tutorial is made to help, remember that it could help someone else even though it does not help a particular group.

Anyone that is interested on how machine learning works.

Anyone that is interested on image preprocessing.

Anyone that wants to build Desktop App with Python

Python developers / Desktop or Web App developers curious about data science



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