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课时1:Installing Anaconda (Windows) and Basic Conda commands
课时2:Basics of SPYDER IDE for Python Programmers
课时3:Installing OpenCV 3 for Python 3 on Windows
课时4:Databases of Images for Computer Vision Programming
课时5:Reading and Displaying images with OpenCV
课时6:Image reading modes and Writing an image to disc
课时7:Images, Numbers, and NumPy
课时8:Drawing Geometric Shapes
课时9:Mini Project_ OpenCV BGR Palette with Trackbars
课时10:Mini Project_ Mouse Events and Interactive Drawing
课时11:Installing and Updating matplotlib with conda
课时12:Matplotlib and Colormaps
课时13:Colorspaces in OpenCV
课时14:OpenCV Webcam Image Capture
课时15:OpenCV Live Video Feed Capture and Processing
课时16:OpenCV and Webcam Resolution
课时17:OpenCV Webcam Video Recording to a file
课时18:OpenCV Video Player
课时19:OpenCV Object Tracking by Color
课时20:Displaying Multiple Images with Matplotlib
课时21:Arithmetic Operations on Images
课时22:Blending and transitioning Images
课时23:OpenCV Mini Project _ Trackbar Image Blending App
课时24:Splitting and Merging channels of a color image
课时25:Computing Negative of an Image
课时26:Logical Operations on Images
课时27:Scaling Operation on an Image
课时28:Shifting or Translation Operation in Images
课时29:Rotating an Image
课时30:OpenCV Mini Project - Rotation Effect on live Webcam Feed
课时31:Affine Transformations
课时32:Perspective Transform
课时33:Thresholding and basic Segmentation
课时34:Otsu's Binarization Thresholding
课时35:Adaptive Thresholding
课时36:Thresholding Live Webcam Feed
课时37:Noise
课时38:Kernel and Convolution
课时39:Low Pass Filters
课时40:Median Blur Filter
课时41:High Pass Filters
课时42:Canny Edge Detector
课时43:Hough Line Transform on a Live Video
课时44:Image Restoration by Inpainting
课时45:Image Quantization with K Means Clustering
课时46:Matplotlib Histograms
课时47:NumPy Histograms
课时48:OpenCV Histograms
课时49:Histogram Equalization
课时50:Morphological Operations
课时51:Finding and Drawing Contours
课时52:Motion Tracking and Detection
课时53:Max RGB Filter
课程介绍共计53课时,11小时32分54秒