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Computer Vision Deep Dive in Python | Computer Vision Essential Training
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Welcome to my Channel...!
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.
Share your thoughts about this video in the comment section and if you have any doubts post it in comment section.
Thank You...!
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Where There is a Will There is a Way 💘
//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
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.
Share your thoughts about this video in the comment section and if you have any doubts post it in comment section.
Thank You...!
→→→→→Visit Our Channel For More Videos←←←←←
🏹LIKE
🏹SHARE
🏹SUBSCRIBE
Where There is a Will There is a Way 💘
//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
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