OpenCV Computer Vision Demos

These are the code examples from my Computer Vision Power Hour.

Demos based on the stream:

23 March 2023:

Replay of the Stream

• find_cars_harr.py: Reads a live video from YouTube and attempts to locate cars in feed.

23 March 2023:

Replay of the Stream

• bodydetect.py: Reads in an image file and detects full bodies in the image using a Haar Cascade classifier.
• edge-canny.py: Reads in an image file and applies the Canny edge detection algorithm to the image.
• blurring.py: Reads in an image file, resizes it to fit within a specified output size, and displays the original and resized images.
• sobel-edge-detection.py: Reads in an image file and applies the Sobel edge detection algorithm to the image.
• facedetect.py: Reads in an image file and detects faces in the image using a Haar Cascade classifier.

Each of these scripts demonstrates a different image processing technique using OpenCV.

Stay Tuned for more, and follow me if you want to view the weekly stream.

Running these files

Have Python installed on your machine.

Create a new Python environment.

run:

pip install -r requirements.txt

Enjoy!

---

All content is CC (copyright free), use it however you like.

Images generated by Dall-E or downloaded from Pexels

Classifiers courtesy of OpenCV