PyImageSearch CrashCourse

• Course URL: https://www.pyimagesearch.com/free-opencv-computer-vision-deep-learning-crash-course/

Course

Day 1: Face detection with OpenCV and Deep Learning

• Link: https://www.pyimagesearch.com/2018/02/26/face-detection-with-opencv-and-deep-learning/
• Folder: 01_Deep_Learning_Face_Detection

In this section we'll learn how to apply face detection with OpenCV to single input images, videos, and webcams.

Commands used:

• Face detection with Images:

  python detect_faces.py --image data/image.jpg --prototext model/deploy.prototxt.txt --model model/res10_300x300_ssd_iter_140000.caffemodel

  python detect_faces.py -i data/sample.jpg -p model/deploy.prototxt.txt -m model/res10_300x300_ssd_iter_140000.caffemodel

• Face detection with Video:

  python detect_faces_video.py -v data/1.mp4 -p model/deploy.prototxt.txt -m model/res10_300x300_ssd_iter_140000.caffemodel

• Face detection with Webcam:

  python detect_faces_video.py -p model/deploy.prototxt.txt -m model/res10_300x300_ssd_iter_140000.caffemodel

Day 2: OpenCV Tutorial

• Link: https://pyimagesearch.com/2018/07/19/opencv-tutorial-a-guide-to-learn-opencv/
• Folder: 02_OpenCV_Tutorial

Tutorial 1: In this we are going to learn,

• Loading and displaying an image
• Accessing individual pixels
• Array slicing and cropping
• Resizing images
• Rotating an image
• Smoothing an image
• Drawing on an image
  

Tutorial 2: Along the way we'll be:

• Learning how to convert images to grayscale with OpenCV
• Performing edge detection
• Thresholding a grayscale image
• Finding, counting, and drawing contours
• Conducting erosion and dilation
• Masking an image

Day 3: Document Scanner

• Link: https://pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/
• Folder: 03_Document_Scanner

Building a document scanner with OpenCV can be accomplished in just three simple steps:

Step 1 : Detect edges.

Step 2 : Use the edges in the image to find the contour(outline) representing the piece of paper being scanned.

Step 3 : Apply a perspective transform to obtain the top-down view of the document.