Opencv Course
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Opencv Course | 410 | 2 years ago | 2 | mit | Python | |||||
| Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp. | ||||||||||
| Ai_is_math | 39 | 15 days ago | mit | Jupyter Notebook | ||||||
| AI is Math course repo. Check out the website at: www.AIisMath.com | ||||||||||
| Computer Vision Opencv3 Udemy | 26 | 5 years ago | Jupyter Notebook | |||||||
| Computer Vision Intro OpenCV 3 in Python & Machine Learning - University of Edinberg | ||||||||||
| Crash_course_for_new_members | 22 | 10 months ago | 1 | |||||||
| Deep Learning & VLSI Crash Course for New Members | ||||||||||
| Hands On Machine Learning With Opencv 4 | 21 | 7 months ago | 6 | mit | Python | |||||
| Hands-On Machine Learning with OpenCV 4, Published by Packt | ||||||||||
| Cross Platform Application Development With Opencv 4 And Qt 5 | 18 | 4 months ago | mit | C++ | ||||||
| Cross-Platform Application Development with OpenCV 4 and Qt 5(v), published by Packt | ||||||||||
| Videosummarization | 18 | 6 years ago | Python | |||||||
| Course Project for CS771: Machine Learning | ||||||||||
| Hands On Opencv 4 With Python | 13 | 2 years ago | 1 | mit | Python | |||||
| Code repository for Hands On OpenCV 4 with Python, published by Packt | ||||||||||
| Cv_course_tutorial | 11 | 2 years ago | Jupyter Notebook | |||||||
| This is the mini-tutorial of Computer Vision course (Spring 2021) | ||||||||||
| Opencv 4 Computer Vision With Python Recipes | 10 | 2 years ago | mit | |||||||
OpenCV with Python in 4 Hours
Notes and code used in my Python and OpenCV course on freeCodeCamp.org. You can find me on Twitter for more info on courses I'm working on currently.
Important Updates:
caer.train_val_split() is a deprecated feature in caer. Use sklearn.model_selection.train_test_split() instead. See #9 for more details.
Course Outline (with timestamps)
1. Installation
Besides installing OpenCV, we cover the installation of the following package:
Caer is a lightweight, high-performance Vision library for high-performance AI research. It simplifies your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the flexibility to quickly prototype deep learning models and research ideas.
$ pip install caer
2. Basic Concepts:
- Reading Images and Video (0:04:12)
- Resizing and Rescaling Images and Video Frames (0:12:57)
- Drawing Shapes and Placing text on images (0:20:21)
- 5 Essential Methods in OpenCV (0:31:55)
- Image Transformations (0:44:13)
- Contour Detection (0:57:06)
3. Advanced Concepts:
- Switching between Colour Spaces (RGB, BGR, Grayscale, HSV and Lab) (1:12:53)
- Splitting and Merging Colour Channels (1:23:10)
- Blurring (1:31:03)
- BITWISE operations (1:44:27)
- Masking (1:53:06)
- Histogram Computation (2:01:43)
- Thresholding/Binarizing Images (2:15:22)
- Advanced Edge Detection (2:26:27)
4. Face Detection and Recognition
- Face Detection using Haar Cascades (2:35:25)
- Face Recognition using OpenCV's LBPHFaceRecognizer algorithm (2:49:05)
5. Capstone: Deep Computer Vision
- Building a Deep Computer Vision model to classify between the characters in the popular TV series The Simpsons (3:11:57)
Credits
The images in the Photos and Videos folders were downloaded from Unsplash and Pixabay, unless otherwise mentioned.
The images in the Faces folder were procurred from a repo on Kaggle.