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| [CourseClub.NET].url |
123б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 1.1 05-Object-Tracking.zip.zip |
16.39Кб |
| 1.1 07-Capstone-Project.zip.zip |
16.73Кб |
| 1.1 NumPy Docs.html |
114б |
| 1. Bonus Lecture Coupons.html |
5.79Кб |
| 1. Course Overview.mp4 |
27.15Мб |
| 1. Course Overview.srt |
8.43Кб |
| 1. Introduction to CapStone Project.mp4 |
9.91Мб |
| 1. Introduction to CapStone Project.srt |
1.34Кб |
| 1. Introduction to Deep Learning for Computer Vision.mp4 |
11.70Мб |
| 1. Introduction to Deep Learning for Computer Vision.srt |
3.81Кб |
| 1. Introduction to Image Processing.mp4 |
4.30Мб |
| 1. Introduction to Image Processing.srt |
963б |
| 1. Introduction to Images and OpenCV Basics.mp4 |
14.59Мб |
| 1. Introduction to Images and OpenCV Basics.srt |
4.23Кб |
| 1. Introduction to Numpy and Image Section.mp4 |
3.74Мб |
| 1. Introduction to Numpy and Image Section.srt |
987б |
| 1. Introduction to Object Detection.mp4 |
12.79Мб |
| 1. Introduction to Object Detection.srt |
3.92Кб |
| 1. Introduction to Object Tracking.mp4 |
3.40Мб |
| 1. Introduction to Object Tracking.srt |
876б |
| 1. Introduction to Video Basics.mp4 |
6.71Мб |
| 1. Introduction to Video Basics.srt |
1.92Кб |
| 10.1 Color Histograms.html |
106б |
| 10.1 WaterShed Algorithm.html |
119б |
| 10. Histograms - Part One.mp4 |
72.56Мб |
| 10. Histograms - Part One.srt |
18.39Кб |
| 10. Image Basics Assessment Solutions.mp4 |
97.27Мб |
| 10. Image Basics Assessment Solutions.srt |
19.27Кб |
| 10. MNIST Data Overview.mp4 |
24.76Мб |
| 10. MNIST Data Overview.srt |
6.91Кб |
| 10. Watershed Algorithm - Part One.mp4 |
66.50Мб |
| 10. Watershed Algorithm - Part One.srt |
17.17Кб |
| 11. Convolutional Neural Networks Overview - Part One.mp4 |
113.26Мб |
| 11. Convolutional Neural Networks Overview - Part One.srt |
27.72Кб |
| 11. Histograms - Part Two - Histogram Eqaulization.mp4 |
69.01Мб |
| 11. Histograms - Part Two - Histogram Eqaulization.srt |
19.18Кб |
| 11. Watershed Algorithm - Part Two.mp4 |
109.17Мб |
| 11. Watershed Algorithm - Part Two.srt |
29.81Кб |
| 12. Convolutional Neural Networks Overview - Part Two.mp4 |
25.59Мб |
| 12. Convolutional Neural Networks Overview - Part Two.srt |
6.28Кб |
| 12. Custom Seeds with Watershed Algorithm.mp4 |
104.34Мб |
| 12. Custom Seeds with Watershed Algorithm.srt |
26.36Кб |
| 12. Histograms Part Three - Histogram Equalization.mp4 |
81.44Мб |
| 12. Histograms Part Three - Histogram Equalization.srt |
11.70Кб |
| 13.1 Haar Cascade Features.html |
108б |
| 13. Image Processing Assessment.mp4 |
28.39Мб |
| 13. Image Processing Assessment.srt |
6.40Кб |
| 13. Introduction to Face Detection.mp4 |
54.86Мб |
| 13. Introduction to Face Detection.srt |
13.94Кб |
| 13. Keras Convolutional Neural Networks with MNIST.mp4 |
83.84Мб |
| 13. Keras Convolutional Neural Networks with MNIST.srt |
24.14Кб |
| 14. Face Detection with OpenCV.mp4 |
116.62Мб |
| 14. Face Detection with OpenCV.srt |
20.11Кб |
| 14. Image Processing Assessment Solutions.mp4 |
71.30Мб |
| 14. Image Processing Assessment Solutions.srt |
11.40Кб |
| 14. Keras Convolutional Neural Networks with CIFAR-10.mp4 |
75.93Мб |
| 14. Keras Convolutional Neural Networks with CIFAR-10.srt |
16.14Кб |
| 15.1 LINK FOR CATS AND DOGS ZIP.html |
143б |
| 15. Detection Assessment.mp4 |
32.08Мб |
| 15. Detection Assessment.srt |
6.04Кб |
| 15. LINK FOR CATS AND DOGS ZIP.html |
263б |
| 16. Deep Learning on Custom Images - Part One.mp4 |
86.68Мб |
| 16. Deep Learning on Custom Images - Part One.srt |
22.40Кб |
| 16. Detection Assessment Solutions.mp4 |
65.00Мб |
| 16. Detection Assessment Solutions.srt |
9.54Кб |
| 17. Deep Learning on Custom Images - Part Two.mp4 |
137.75Мб |
| 17. Deep Learning on Custom Images - Part Two.srt |
28.87Кб |
| 18. Deep Learning and Convolutional Neural Networks Assessment.mp4 |
19.99Мб |
| 18. Deep Learning and Convolutional Neural Networks Assessment.srt |
4.36Кб |
| 19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp4 |
50.80Мб |
| 19. Deep Learning and Convolutional Neural Networks Assessment Solutions.srt |
9.26Кб |
| 2.1 Information on HSL and HSV Color Mappings.html |
102б |
| 2.1 Optical Flow.html |
103б |
| 2.1 Template Matching Wiki.html |
108б |
| 2.2 Information on RGB Color Mappings.html |
106б |
| 2. Capstone Part One - Variables and Background function.mp4 |
38.68Мб |
| 2. Capstone Part One - Variables and Background function.srt |
11.21Кб |
| 2. Color Mappings.mp4 |
45.15Мб |
| 2. Color Mappings.srt |
9.64Кб |
| 2. Connecting to Camera.mp4 |
79.32Мб |
| 2. Connecting to Camera.srt |
22.60Кб |
| 2. FAQ - Frequently Asked Questions.html |
1.77Кб |
| 2. Machine Learning Basics.mp4 |
34.47Мб |
| 2. Machine Learning Basics.srt |
11.51Кб |
| 2. NumPy Arrays.mp4 |
85.91Мб |
| 2. NumPy Arrays.srt |
24.95Кб |
| 2. Opening Image files in a notebook.mp4 |
126.97Мб |
| 2. Opening Image files in a notebook.srt |
29.79Кб |
| 2. Optical Flow.mp4 |
30.15Мб |
| 2. Optical Flow.srt |
8.81Кб |
| 2. Template Matching.mp4 |
116.63Мб |
| 2. Template Matching.srt |
26.63Кб |
| 20. Introduction to YOLO v3.mp4 |
21.78Мб |
| 20. Introduction to YOLO v3.srt |
4.85Кб |
| 21.1 Link for Weights h5 file (same as link in article and next lecture).html |
143б |
| 21. YOLO Weights Download.html |
300б |
| 22.1 Link for weights h5 file (same as link from previous lecture).html |
143б |
| 22. YOLO v3 with Python.mp4 |
166.87Мб |
| 22. YOLO v3 with Python.srt |
28.65Кб |
| 3.1 Computer-Vision-with-Python.zip.zip |
306.16Мб |
| 3.1 Harris Corner Detection Detailed.html |
113б |
| 3. Blending and Pasting Images.mp4 |
85.65Мб |
| 3. Blending and Pasting Images.srt |
21.03Кб |
| 3. Capstone Part Two - Segmentation.mp4 |
36.26Мб |
| 3. Capstone Part Two - Segmentation.srt |
8.28Кб |
| 3. Corner Detection - Part One - Harris Corner Detection.mp4 |
81.64Мб |
| 3. Corner Detection - Part One - Harris Corner Detection.srt |
20.71Кб |
| 3. Course Curriculum Overview.mp4 |
22.97Мб |
| 3. Course Curriculum Overview.srt |
7.46Кб |
| 3. Opening Image files with OpenCV.mp4 |
65.47Мб |
| 3. Opening Image files with OpenCV.srt |
17.15Кб |
| 3. Optical Flow Coding with OpenCV - Part One.mp4 |
111.37Мб |
| 3. Optical Flow Coding with OpenCV - Part One.srt |
26.16Кб |
| 3. Understanding Classification Metrics.mp4 |
77.53Мб |
| 3. Understanding Classification Metrics.srt |
22.71Кб |
| 3. Using Video Files.mp4 |
34.98Мб |
| 3. Using Video Files.srt |
11.04Кб |
| 3. What is an image.mp4 |
33.95Мб |
| 3. What is an image.srt |
8.66Кб |
| 4.1 Download for cvcourse_windows.yml.html |
143б |
| 4.1 Good Features to Track - Original Paper.html |
119б |
| 4.2 Download for cvcourse_macos.yml.html |
127б |
| 4.3 Download Link for cvcourse_linux.yml.html |
127б |
| 4. Blending and Pasting Images Part Two - Masks.mp4 |
93.10Мб |
| 4. Blending and Pasting Images Part Two - Masks.srt |
22.95Кб |
| 4. Capstone Part Three - Counting and ConvexHull.mp4 |
88.88Мб |
| 4. Capstone Part Three - Counting and ConvexHull.srt |
18.75Кб |
| 4. Corner Detection - Part Two - Shi-Tomasi Detection.mp4 |
50.30Мб |
| 4. Corner Detection - Part Two - Shi-Tomasi Detection.srt |
10.32Кб |
| 4. Drawing on Images - Part One - Basic Shapes.mp4 |
41.63Мб |
| 4. Drawing on Images - Part One - Basic Shapes.srt |
15.32Кб |
| 4. Drawing on Live Camera.mp4 |
97.99Мб |
| 4. Drawing on Live Camera.srt |
24.77Кб |
| 4. Getting Set-Up for the Course Content.mp4 |
79.33Мб |
| 4. Getting Set-Up for the Course Content.srt |
19.98Кб |
| 4. Images and NumPy.mp4 |
90.34Мб |
| 4. Images and NumPy.srt |
16.97Кб |
| 4. Introduction to Deep Learning Topics.mp4 |
6.79Мб |
| 4. Introduction to Deep Learning Topics.srt |
2.19Кб |
| 4. Optical Flow Coding with OpenCV - Part Two.mp4 |
71.75Мб |
| 4. Optical Flow Coding with OpenCV - Part Two.srt |
15.07Кб |
| 5.1 Edege Detection.html |
105б |
| 5.1 Meanshift for Image Segmentation.html |
149б |
| 5.1 Thresholding Images Info.html |
122б |
| 5.2 Canny Edge Detection.html |
110б |
| 5.2 MeanShift On Wikipedia.html |
101б |
| 5. Capstone Part Four - Bringing it all together.mp4 |
87.03Мб |
| 5. Capstone Part Four - Bringing it all together.srt |
15.63Кб |
| 5. Drawing on Images Part Two - Text and Polygons.mp4 |
42.57Мб |
| 5. Drawing on Images Part Two - Text and Polygons.srt |
14.56Кб |
| 5. Edge Detection.mp4 |
69.63Мб |
| 5. Edge Detection.srt |
14.64Кб |
| 5. Image Thresholding.mp4 |
138.30Мб |
| 5. Image Thresholding.srt |
26.60Кб |
| 5. MeanShift and CamShift Tracking Theory.mp4 |
31.48Мб |
| 5. MeanShift and CamShift Tracking Theory.srt |
9.05Кб |
| 5. NumPy and Image Assessment Test.mp4 |
16.32Мб |
| 5. NumPy and Image Assessment Test.srt |
4.68Кб |
| 5. Understanding a Neuron.mp4 |
22.15Мб |
| 5. Understanding a Neuron.srt |
7.81Кб |
| 5. Video Basics Assessment.mp4 |
13.47Мб |
| 5. Video Basics Assessment.srt |
2.91Кб |
| 6.1 Info on Blurring.html |
119б |
| 6.2 Gaussian Blurring.html |
104б |
| 6. Blurring and Smoothing.mp4 |
63.20Мб |
| 6. Blurring and Smoothing.srt |
10.64Кб |
| 6. Direct Drawing on Images with a mouse - Part One.mp4 |
54.92Мб |
| 6. Direct Drawing on Images with a mouse - Part One.srt |
14.11Кб |
| 6. Grid Detection.mp4 |
42.74Мб |
| 6. Grid Detection.srt |
12.17Кб |
| 6. MeanShift and CamShift Tracking with OpenCV.mp4 |
96.24Мб |
| 6. MeanShift and CamShift Tracking with OpenCV.srt |
19.00Кб |
| 6. NumPy and Image Assessment Test - Solutions.mp4 |
60.46Мб |
| 6. NumPy and Image Assessment Test - Solutions.srt |
13.91Кб |
| 6. Understanding a Neural Network.mp4 |
29.37Мб |
| 6. Understanding a Neural Network.srt |
9.77Кб |
| 6. Video Basics Assessment Solutions.mp4 |
33.40Мб |
| 6. Video Basics Assessment Solutions.srt |
7.47Кб |
| 7.1 TDL Tracker.html |
105б |
| 7.2 BOOSTING Tracker Info.html |
125б |
| 7.3 Median Flow Tracker Info.html |
144б |
| 7.4 MIL Tracker Info.html |
114б |
| 7.5 KCF Tracker.html |
92б |
| 7. Blurring and Smoothing - Part Two.mp4 |
235.81Мб |
| 7. Blurring and Smoothing - Part Two.srt |
30.88Кб |
| 7. Contour Detection.mp4 |
58.30Мб |
| 7. Contour Detection.srt |
16.25Кб |
| 7. Cost Functions.mp4 |
18.71Мб |
| 7. Cost Functions.srt |
5.30Кб |
| 7. Direct Drawing on Images with a mouse - Part Two.mp4 |
17.70Мб |
| 7. Direct Drawing on Images with a mouse - Part Two.srt |
4.16Кб |
| 7. Overview of various Tracking API Methods.mp4 |
36.51Мб |
| 7. Overview of various Tracking API Methods.srt |
11.04Кб |
| 8.1 Math Behind Morphology.html |
114б |
| 8.2 Really great link on Morphological Operators.html |
112б |
| 8. Direct Drawing on Images with a mouse - Part Three.mp4 |
49.26Мб |
| 8. Direct Drawing on Images with a mouse - Part Three.srt |
15.40Кб |
| 8. Feature Matching - Part One.mp4 |
99.99Мб |
| 8. Feature Matching - Part One.srt |
18.84Кб |
| 8. Gradient Descent and Back Propagation.mp4 |
16.89Мб |
| 8. Gradient Descent and Back Propagation.srt |
5.03Кб |
| 8. Morphological Operators.mp4 |
96.78Мб |
| 8. Morphological Operators.srt |
22.62Кб |
| 8. Tracking APIs with OpenCV.mp4 |
57.13Мб |
| 8. Tracking APIs with OpenCV.srt |
11.33Кб |
| 9.1 Sobel Operators.html |
105б |
| 9.2 Image Gradients.html |
105б |
| 9. Feature Matching - Part Two.mp4 |
177.41Мб |
| 9. Feature Matching - Part Two.srt |
26.11Кб |
| 9. Gradients.mp4 |
113.36Мб |
| 9. Gradients.srt |
21.02Кб |
| 9. Image Basics Assessment.mp4 |
26.42Мб |
| 9. Image Basics Assessment.srt |
6.08Кб |
| 9. Keras Basics.mp4 |
97.75Мб |
| 9. Keras Basics.srt |
25.01Кб |