OpenCV 3 with Python 3 Tutorial

Learn OpenCV 3. Become a Pro in Image Processing and Computer Vision. Welcome to my OpenCV Tutorial. In this tutorial, we will learn OpenCV 3 with Python 3 on various platforms like Windows and Raspbian on Raspberry Pi 3. We will also learn to use various image capture devices like web camera and Pi Camera module. Follow the entire series without missing a video or an exercise and you will become pro in computer vision in no time.

• Chapter 1：Installing Anaconda (Windows) and Basic Conda commands (15 minutes and 50 seconds)

• Chapter 2：Basics of SPYDER IDE for Python Programmers (11 minutes and 39 seconds)

• Chapter 3：Installing OpenCV 3 for Python 3 on Windows (11 minutes and 59 seconds)

• Chapter 4：Databases of Images for Computer Vision Programming (5 minutes and 0 seconds)

• Chapter 5：Reading and Displaying images with OpenCV (12 minutes and 1 seconds)

• Chapter 6：Image reading modes and Writing an image to disc (7 minutes and 36 seconds)

• Chapter 7：Images, Numbers, and NumPy (27 minutes and 0 seconds)

• Chapter 8：Drawing Geometric Shapes (24 minutes and 14 seconds)

• Chapter 9：Mini Project_ OpenCV BGR Palette with Trackbars (14 minutes and 25 seconds)

• Chapter 10：Mini Project_ Mouse Events and Interactive Drawing (17 minutes and 18 seconds)

• Chapter 11：Installing and Updating matplotlib with conda (6 minutes and 44 seconds)

• Chapter 12：Matplotlib and Colormaps (12 minutes and 40 seconds)

• Chapter 13：Colorspaces in OpenCV (17 minutes and 54 seconds)

• Chapter 14：OpenCV Webcam Image Capture (11 minutes and 49 seconds)

• Chapter 15：OpenCV Live Video Feed Capture and Processing (9 minutes and 31 seconds)

• Chapter 16：OpenCV and Webcam Resolution (8 minutes and 19 seconds)

• Chapter 17：OpenCV Webcam Video Recording to a file (12 minutes and 59 seconds)

• Chapter 18：OpenCV Video Player (13 minutes and 47 seconds)

• Chapter 19：OpenCV Object Tracking by Color (17 minutes and 46 seconds)

• Chapter 20：Displaying Multiple Images with Matplotlib (15 minutes and 36 seconds)

• Chapter 21：Arithmetic Operations on Images (15 minutes and 5 seconds)

• Chapter 22：Blending and transitioning Images (14 minutes and 36 seconds)

• Chapter 23：OpenCV Mini Project _ Trackbar Image Blending App (8 minutes and 10 seconds)

• Chapter 24：Splitting and Merging channels of a color image (7 minutes and 45 seconds)

• Chapter 25：Computing Negative of an Image (7 minutes and 49 seconds)

• Chapter 26：Logical Operations on Images (8 minutes and 40 seconds)

• Chapter 27：Scaling Operation on an Image (10 minutes and 43 seconds)

• Chapter 28：Shifting or Translation Operation in Images (10 minutes and 46 seconds)

• Chapter 29：Rotating an Image (8 minutes and 56 seconds)

• Chapter 30：OpenCV Mini Project - Rotation Effect on live Webcam Feed (14 minutes and 30 seconds)

• Chapter 31：Affine Transformations (10 minutes and 8 seconds)

• Chapter 32：Perspective Transform (8 minutes and 58 seconds)

• Chapter 33：Thresholding and basic Segmentation (12 minutes and 24 seconds)

• Chapter 34：Otsu's Binarization Thresholding (8 minutes and 20 seconds)

• Chapter 35：Adaptive Thresholding (10 minutes and 5 seconds)

• Chapter 36：Thresholding Live Webcam Feed (8 minutes and 17 seconds)

• Chapter 37：Noise (21 minutes and 35 seconds)

• Chapter 38：Kernel and Convolution (17 minutes and 21 seconds)

• Chapter 39：Low Pass Filters (11 minutes and 14 seconds)

• Chapter 40：Median Blur Filter (4 minutes and 46 seconds)

• Chapter 41：High Pass Filters (15 minutes and 27 seconds)

• Chapter 42：Canny Edge Detector (11 minutes and 53 seconds)

• Chapter 43：Hough Line Transform on a Live Video (14 minutes and 14 seconds)

• Chapter 44：Image Restoration by Inpainting (11 minutes and 58 seconds)

• Chapter 45：Image Quantization with K Means Clustering (39 minutes and 50 seconds)

• Chapter 46：Matplotlib Histograms (17 minutes and 40 seconds)

• Chapter 47：NumPy Histograms (9 minutes and 41 seconds)

• Chapter 48：OpenCV Histograms (6 minutes and 4 seconds)

• Chapter 49：Histogram Equalization (10 minutes and 33 seconds)

• Chapter 50：Morphological Operations (22 minutes and 27 seconds)

• Chapter 51：Finding and Drawing Contours (9 minutes and 35 seconds)

• Chapter 52：Motion Tracking and Detection (21 minutes and 23 seconds)

• Chapter 53：Max RGB Filter (7 minutes and 54 seconds)