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Название [FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning
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[FreeCoursesOnline.Me].url 133б
[FreeTutorials.Eu].url 129б
[FTU Forum].url 1.34Кб
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
How you can help Team-FTU.txt 241б
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