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Notes and code used in myPython and OpenCV course onfreeCodeCamp.org. You can find me onTwitter for more info on courses I'm working on currently.

caer.train_val_split() is a deprecated feature incaer. Usesklearn.model_selection.train_test_split() instead. See#9 for more details.

Besides installing OpenCV, we cover the installation of the following package:

Caer is alightweight, high-performance Vision library for high-performance AI research. It simplifies your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you theflexibility to quickly prototype deep learning models and research ideas.

$ pip install caer

• 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)

• 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)

• Face Detection using Haar Cascades (2:35:25)
• Face Recognition using OpenCV's LBPHFaceRecognizer algorithm (2:49:05)

• Building a Deep Computer Vision model to classify between the characters in the popular TV series The Simpsons (3:11:57)

The images in thePhotos andVideos folders were downloaded fromUnsplash andPixabay, unless otherwise mentioned.

The images in theFaces folder were procurred from arepo on Kaggle.