Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2
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6:06:59
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01-Course Overview.mp4
04:30
02-Setting Up Your Computer Vision Tools (Python, OpenCV 4, TensorFlow 2.0, and Keras).mp4
08:55
03-Image Formation and Digital Representation.mp4
08:21
04-Getting Started with OpenCV 4.mp4
03:51
05-Getting Started with OpenCV 4 - Practical.mp4
12:11
06-Understanding Color Spaces and Applying Grayscaling.mp4
04:49
07-Understanding Color Spaces and Applying Grayscaling - Practical.mp4
07:34
08-Creating and Drawing on Images with OpenCV.mp4
10:23
09-Translations, Rotations, and Transformations.mp4
13:09
10-Scaling, Resizing, Interpolations, and Cropping.mp4
05:34
11-Scaling, Resizing, Interpolations, and Cropping - Practical.mp4
09:14
12-Arithmetic and Bitwise Operations.mp4
06:31
13-Blurring and Sharpening Images.mp4
04:35
14-Blurring and Sharpening Images - Practical.mp4
06:29
15-Thresholding, Binarization, and Adaptive Thresholding.mp4
04:18
16-Thresholding, Binarization, and Adaptive Thresholding - Practical.mp4
06:47
17-Dilation, Erosion, and Edge Detection.mp4
06:22
18-Dilation, Erosion, and Edge Detection - Practical.mp4
07:19
19-Segmentation and Contours.mp4
07:04
20-Segmentation and Contours - Practical.mp4
03:57
21-Sorting and Approximating Contours.mp4
03:00
22-Sorting and Approximating Contours - Practical.mp4
08:59
23-Line, Circle, and Blob Detection.mp4
03:30
24-Line, Circle, and Blob Detection - Practical.mp4
04:42
25-Object Detection with HAAR Cascade Classifiers.mp4
07:10
26-Face and Eye Detection.mp4
07:17
27-Car and People Detection.mp4
04:43
28-Machine Learning in Computer Vision.mp4
11:06
29-Deep Learning and Neural Networks.mp4
07:48
30-Introduction to Convolutional Neural Networks.mp4
11:51
31-Creating a CNN Using Keras and TensorFlow 2.0.mp4
06:36
32-Loading and Preparing Image Data.mp4
11:28
33-Training Our CNN and Analyzing Performance.mp4
17:15
34-Understanding CNN Design and Training.mp4
09:26
35-Gesture Recognition Using Sign Language MNIST.mp4
14:37
36.mp4
11:08
37-Facial Recognition with Deep Learning.mp4
07:04
38.mp4
07:33
39.mp4
06:37
40-Pre-Trained ImageNet Models.mp4
09:25
41-Introduction to Transfer Learning.mp4
05:26
42-Implementing Transfer Learning on CIFAR-10.mp4
08:00
43-R-CNNs, SSDs, and YOLO.mp4
15:48
44-Implementing Object Detection with SSDs and YOLO.mp4
08:58
45-Neural Art Style Transfer.mp4
15:39
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View courses PacktPubPackt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
- language english
- Training sessions 45
- duration 6:06:59
- Release Date 2024/03/15
