Computer Vision Deep Dive in Python | Computer Vision Essential Training
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In this video we are going to see the basics of Computer Vision in Python . These are the fundamentals of Computer Vision in Python and essential trainings. we will see more and more in upcoming videos.
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//Chapters and time splits
00:00:00-00:01:11 Computer vision under the hood
00:01:12-00:02:34 What you should know
00:02:35-00:03:40 Installing Anaconda and OpenCV
00:03:41-00:07:24 Testing your environment
00:07:25-00:11:34 Image representation
00:11:35-00:14:48 Color encoding
00:14:49-00:21:23 Image file management
00:21:24-00:24:28 Resolution
00:24:29-00:26:39 Rotations and flips
00:26:40-00:29:16 Challenge: Manipulate some pictures
00:29:17-00:32:12 Solution: Manipulate some pictures
00:32:13-00:36:03 Average grayscale
00:36:04-00:37:44 Weighted grayscale
00:37:45-00:41:04 Converting grayscale to black and white
00:41:05-00:46:06 Adaptive thresholding
00:46:07-00:47:06 Challenge: Removing color
00:47:07-00:48:21 Solution: Removing color
00:48:22-00:52:46 Convolution filters
00:52:47-00:55:54 Average filters
00:55:55-01:01:13 Median filters
01:01:14-01:03:19 Gaussian filters
01:03:20-01:07:40 Edge detection filters
01:07:41-01:09:09 Challenge: Convolution filters
01:09:10-01:10:35 Solution: Convolution filters
01:10:36-01:12:42 Image downscaling methods
01:12:43-01:16:06 Downscaling example
01:16:07-01:17:58 Image upscaling methods
01:17:59-01:21:48 Upscaling example
01:21:49-01:22:49 Challenge: Resize a picture
01:22:50-01:24:13 Solution: Resize a picture
01:24:14-01:28:15 Image cuts
01:28:16-01:36:21 Stitching two images together
01:36:22-01:39:37 Cuts in panoramic photography
01:39:38-01:40:52 Challenge: Stitch two pictures together
01:40:53-01:42:33 Solution: Stitching two pictures together
01:42:34-01:47:40 Why modify objects?
01:47:41-01:51:55 Erosion and dilation
01:51:56-01:54:13 Open and close
01:54:14-01:56:56 Challenge: Help a robot
01:56:57-01:58:44 Solution: Help a robot