├── LICENSE
├── README.md
├── Section1-Code-ipynb-files.zip
├── Section2-Code-ipynb-files.zip
├── Section3-Code-ipynb-files.zip
├── Section4-Code-ipynb-files.zip
├── Section5-Code-ipynb-files.zip
├── Section6-Code-ipynb-files.zip
└── Section7-Code-ipynb-files.zip
/LICENSE:
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1 | MIT License
2 |
3 | Copyright (c) 2018 Packt
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
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/README.md:
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1 | # OpenCV 4 Computer Vision with Python Recipes
2 | This is the code repository for [OpenCV 4 Computer Vision with Python Recipes [Video]](https://www.packtpub.com/application-development/opencv-4-computer-vision-python-recipes-video), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the video course from start to finish.
3 | ## About the Video Course
4 | Have you ever wondered how self-driving cars work? Have you ever wanted to land a highly paid job in Computer Vision industry?
5 | We have compiled this course so you seize your opportunity to get noticed by building awesome Computer Vision applications.This course kicks-off with Introduction to OpenCV 4 and familiarizes you with the advancements in this version. We’ll educate you on how to handle images, enhance and transform them. We’ll also develop some cool applications including Face and Eyes detection, Emotion recognition and Fast QR code detection & decoding that you can deploy anywhere. We’ll also share some tips & tricks to make you more productive. By the end of the course, you will have profound knowledge on what Computer Vision is and how we can leverage OpenCV 4 to build real-world applications without much effort.
6 |
7 | The code bundle for this video course is available at - https://github.com/PacktPublishing/OpenCV-4-Computer-Vision-with-Python-Recipes
8 |
9 |
What You Will Learn
10 |
11 |
12 | - How to build real-world Computer Vision applications.
13 |
- Deploy Face and Eyes Detection with HAAR Cascade Classifiers.
14 |
- Recognize Age, Gender and Emotions and Roadside Landmarks.
15 |
- Develop Fast QR Code Detection and Decoding application.
16 |
- Create DNN based Image Classifier.
17 |
- Train an Object Detection Model and Detect Persons, and Vehicles.
18 |
19 | ## Instructions and Navigation
20 | ### Assumed Knowledge
21 | To fully benefit from the coverage included in this course, you will need:
22 | This course is for developers who have a basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this course is for you.
23 | ### Technical Requirements
24 | This course has the following software requirements:
25 | Operating system: Any
26 | Browser: Chrome
27 | Spyder / Sublime
28 |
29 |
30 |
31 |
32 | ## Related Products
33 | * [Black Hat Python for Pentesters and Hackers [Video]](https://www.packtpub.com/application-development/black-hat-python-pentesters-and-hackers-video)
34 |
35 | * [Hands-On Reactive Programming with Python [Video]](https://www.packtpub.com/application-development/hands-reactive-programming-python-video)
36 |
37 | * [Python Deep Learning for Beginners [Video]](https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning-beginners-video)
38 |
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