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[FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning
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[FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning
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收录时间:
2021-03-07
最近下载:
2025-02-18
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文件列表
1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip
321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4
247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4
186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4
175.0 MB
4. Image Processing/5. Image Thresholding.mp4
145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4
144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4
133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4
122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4
122.3 MB
4. Image Processing/9. Gradients.mp4
118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4
118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4
116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4
114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4
109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4
104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4
102.7 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4
102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4
102.0 MB
4. Image Processing/8. Morphological Operators.mp4
101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4
100.9 MB
4. Image Processing/4. Blending and Pasting Images Part Two - Masks.mp4
97.6 MB
2. NumPy and Image Basics/4. Images and NumPy.mp4
94.7 MB
9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.mp4
93.2 MB
9. Capstone Project/5. Capstone Part Four - Bringing it all together.mp4
91.3 MB
8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.mp4
90.9 MB
2. NumPy and Image Basics/2. NumPy Arrays.mp4
90.1 MB
4. Image Processing/3. Blending and Pasting Images.mp4
89.8 MB
8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.mp4
87.9 MB
6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.mp4
85.6 MB
4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp4
85.4 MB
1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.mp4
83.2 MB
5. Video Basics with Python and OpenCV/2. Connecting to Camera.mp4
83.2 MB
8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.mp4
81.3 MB
8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.mp4
79.6 MB
4. Image Processing/10. Histograms - Part One.mp4
76.1 MB
7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.mp4
75.2 MB
4. Image Processing/14. Image Processing Assessment Solutions.mp4
74.8 MB
6. Object Detection with OpenCV and Python/5. Edge Detection.mp4
73.0 MB
4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp4
72.4 MB
6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp4
69.7 MB
3. Image Basics with OpenCV/3. Opening Image files with OpenCV.mp4
68.7 MB
6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.mp4
68.2 MB
4. Image Processing/6. Blurring and Smoothing.mp4
66.3 MB
2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp4
63.4 MB
6. Object Detection with OpenCV and Python/7. Contour Detection.mp4
61.1 MB
7. Object Tracking/8. Tracking APIs with OpenCV.mp4
59.9 MB
3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp4
57.6 MB
6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp4
57.5 MB
8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp4
53.3 MB
6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp4
52.7 MB
3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp4
51.7 MB
4. Image Processing/2. Color Mappings.mp4
47.3 MB
6. Object Detection with OpenCV and Python/6. Grid Detection.mp4
44.8 MB
3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp4
44.6 MB
3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp4
43.6 MB
9. Capstone Project/2. Capstone Part One - Variables and Background function.mp4
40.6 MB
7. Object Tracking/7. Overview of various Tracking API Methods.mp4
38.3 MB
9. Capstone Project/3. Capstone Part Two - Segmentation.mp4
38.0 MB
5. Video Basics with Python and OpenCV/3. Using Video Files.mp4
36.7 MB
8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp4
36.1 MB
2. NumPy and Image Basics/3. What is an image.mp4
35.6 MB
5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp4
35.0 MB
6. Object Detection with OpenCV and Python/15. Detection Assessment.mp4
33.6 MB
7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp4
33.0 MB
7. Object Tracking/2. Optical Flow.mp4
31.6 MB
8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp4
30.8 MB
4. Image Processing/13. Image Processing Assessment.mp4
29.8 MB
1. Course Overview and Introduction/1. Course Overview.mp4
28.5 MB
3. Image Basics with OpenCV/9. Image Basics Assessment.mp4
27.7 MB
8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp4
26.8 MB
8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp4
26.0 MB
1. Course Overview and Introduction/3. Course Curriculum Overview.mp4
24.1 MB
8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp4
23.2 MB
8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp4
22.8 MB
8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp4
21.0 MB
8. Deep Learning for Computer Vision/7. Cost Functions.mp4
19.6 MB
3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp4
18.6 MB
8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp4
17.7 MB
2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp4
17.1 MB
3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp4
15.3 MB
5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp4
14.1 MB
6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp4
13.4 MB
8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp4
12.3 MB
9. Capstone Project/1. Introduction to CapStone Project.mp4
10.4 MB
8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp4
7.1 MB
5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp4
7.0 MB
4. Image Processing/1. Introduction to Image Processing.mp4
4.5 MB
2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp4
3.9 MB
7. Object Tracking/1. Introduction to Object Tracking.mp4
3.6 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.srt
31.6 kB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.srt
30.5 kB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.srt
30.5 kB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.srt
29.6 kB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.srt
29.3 kB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.srt
28.4 kB
6. Object Detection with OpenCV and Python/2. Template Matching.srt
27.3 kB
4. Image Processing/5. Image Thresholding.srt
27.2 kB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.srt
27.0 kB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.srt
26.8 kB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.srt
26.7 kB
8. Deep Learning for Computer Vision/9. Keras Basics.srt
25.6 kB
2. NumPy and Image Basics/2. NumPy Arrays.srt
25.5 kB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.srt
25.4 kB
8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.srt
24.7 kB
4. Image Processing/4. Blending and Pasting Images Part Two - Masks.srt
23.5 kB
8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.srt
23.2 kB
4. Image Processing/8. Morphological Operators.srt
23.2 kB
5. Video Basics with Python and OpenCV/2. Connecting to Camera.srt
23.1 kB
8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.srt
22.9 kB
4. Image Processing/3. Blending and Pasting Images.srt
21.5 kB
4. Image Processing/9. Gradients.srt
21.5 kB
6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.srt
21.2 kB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.srt
20.6 kB
1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.srt
20.5 kB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.srt
19.7 kB
4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.srt
19.6 kB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.srt
19.5 kB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.srt
19.3 kB
9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.srt
19.2 kB
4. Image Processing/10. Histograms - Part One.srt
18.8 kB
6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.srt
17.6 kB
3. Image Basics with OpenCV/3. Opening Image files with OpenCV.srt
17.6 kB
2. NumPy and Image Basics/4. Images and NumPy.srt
17.4 kB
9. Capstone Project/1.1 07-Capstone-Project.zip.zip
17.1 kB
7. Object Tracking/1.1 05-Object-Tracking.zip.zip
16.8 kB
6. Object Detection with OpenCV and Python/7. Contour Detection.srt
16.6 kB
8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.srt
16.5 kB
9. Capstone Project/5. Capstone Part Four - Bringing it all together.srt
16.0 kB
3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.srt
15.8 kB
3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.srt
15.7 kB
7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.srt
15.4 kB
6. Object Detection with OpenCV and Python/5. Edge Detection.srt
15.0 kB
3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.srt
14.9 kB
3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.srt
14.4 kB
6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.srt
14.3 kB
2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.srt
14.2 kB
6. Object Detection with OpenCV and Python/6. Grid Detection.srt
12.5 kB
4. Image Processing/12. Histograms Part Three - Histogram Equalization.srt
12.0 kB
8. Deep Learning for Computer Vision/2. Machine Learning Basics.srt
11.8 kB
4. Image Processing/14. Image Processing Assessment Solutions.srt
11.7 kB
7. Object Tracking/8. Tracking APIs with OpenCV.srt
11.6 kB
9. Capstone Project/2. Capstone Part One - Variables and Background function.srt
11.5 kB
5. Video Basics with Python and OpenCV/3. Using Video Files.srt
11.3 kB
7. Object Tracking/7. Overview of various Tracking API Methods.srt
11.3 kB
4. Image Processing/6. Blurring and Smoothing.srt
10.9 kB
6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.srt
10.6 kB
8. Deep Learning for Computer Vision/6. Understanding a Neural Network.srt
10.0 kB
4. Image Processing/2. Color Mappings.srt
9.9 kB
6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.srt
9.8 kB
8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.srt
9.5 kB
7. Object Tracking/5. MeanShift and CamShift Tracking Theory.srt
9.3 kB
7. Object Tracking/2. Optical Flow.srt
9.0 kB
2. NumPy and Image Basics/3. What is an image.srt
8.9 kB
1. Course Overview and Introduction/1. Course Overview.srt
8.6 kB
9. Capstone Project/3. Capstone Part Two - Segmentation.srt
8.5 kB
8. Deep Learning for Computer Vision/5. Understanding a Neuron.srt
8.0 kB
5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.srt
7.7 kB
1. Course Overview and Introduction/3. Course Curriculum Overview.srt
7.6 kB
8. Deep Learning for Computer Vision/10. MNIST Data Overview.srt
7.1 kB
4. Image Processing/13. Image Processing Assessment.srt
6.6 kB
8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.srt
6.4 kB
3. Image Basics with OpenCV/9. Image Basics Assessment.srt
6.2 kB
6. Object Detection with OpenCV and Python/15. Detection Assessment.srt
6.2 kB
10. BONUS DISCOUNT COUPONS FOR OTHER COURSES/1. Bonus Lecture Coupons.html
5.9 kB
8. Deep Learning for Computer Vision/7. Cost Functions.srt
5.4 kB
8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.srt
5.2 kB
8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.srt
5.0 kB
2. NumPy and Image Basics/5. NumPy and Image Assessment Test.srt
4.8 kB
8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.srt
4.5 kB
3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.srt
4.3 kB
3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.srt
4.3 kB
6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.srt
4.0 kB
8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.srt
3.9 kB
5. Video Basics with Python and OpenCV/5. Video Basics Assessment.srt
3.0 kB
8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.srt
2.2 kB
5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.srt
2.0 kB
1. Course Overview and Introduction/2. FAQ - Frequently Asked Questions.html
1.8 kB
[FTU Forum].url
1.4 kB
9. Capstone Project/1. Introduction to CapStone Project.srt
1.4 kB
2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.srt
987 Bytes
4. Image Processing/1. Introduction to Image Processing.srt
963 Bytes
7. Object Tracking/1. Introduction to Object Tracking.srt
876 Bytes
8. Deep Learning for Computer Vision/21. YOLO Weights Download.html
300 Bytes
8. Deep Learning for Computer Vision/15. LINK FOR CATS AND DOGS ZIP.html
263 Bytes
How you can help Team-FTU.txt
241 Bytes
7. Object Tracking/5.1 Meanshift for Image Segmentation.html
149 Bytes
7. Object Tracking/7.3 Median Flow Tracker Info.html
144 Bytes
1. Course Overview and Introduction/4.1 Download for cvcourse_windows.yml.html
143 Bytes
8. Deep Learning for Computer Vision/15.1 LINK FOR CATS AND DOGS ZIP.html
143 Bytes
8. Deep Learning for Computer Vision/21.1 Link for Weights h5 file (same as link in article and next lecture).html
143 Bytes
8. Deep Learning for Computer Vision/22.1 Link for weights h5 file (same as link from previous lecture).html
143 Bytes
[FreeCoursesOnline.Me].url
133 Bytes
[FreeTutorials.Eu].url
129 Bytes
1. Course Overview and Introduction/4.2 Download for cvcourse_macos.yml.html
127 Bytes
1. Course Overview and Introduction/4.3 Download Link for cvcourse_linux.yml.html
127 Bytes
7. Object Tracking/7.2 BOOSTING Tracker Info.html
125 Bytes
4. Image Processing/5.1 Thresholding Images Info.html
122 Bytes
4. Image Processing/6.1 Info on Blurring.html
119 Bytes
6. Object Detection with OpenCV and Python/10.1 WaterShed Algorithm.html
119 Bytes
6. Object Detection with OpenCV and Python/4.1 Good Features to Track - Original Paper.html
119 Bytes
2. NumPy and Image Basics/1.1 NumPy Docs.html
114 Bytes
4. Image Processing/8.1 Math Behind Morphology.html
114 Bytes
7. Object Tracking/7.4 MIL Tracker Info.html
114 Bytes
6. Object Detection with OpenCV and Python/3.1 Harris Corner Detection Detailed.html
113 Bytes
4. Image Processing/8.2 Really great link on Morphological Operators.html
112 Bytes
6. Object Detection with OpenCV and Python/5.2 Canny Edge Detection.html
110 Bytes
6. Object Detection with OpenCV and Python/13.1 Haar Cascade Features.html
108 Bytes
6. Object Detection with OpenCV and Python/2.1 Template Matching Wiki.html
108 Bytes
4. Image Processing/10.1 Color Histograms.html
106 Bytes
4. Image Processing/2.2 Information on RGB Color Mappings.html
106 Bytes
4. Image Processing/9.1 Sobel Operators.html
105 Bytes
4. Image Processing/9.2 Image Gradients.html
105 Bytes
6. Object Detection with OpenCV and Python/5.1 Edege Detection.html
105 Bytes
7. Object Tracking/7.1 TDL Tracker.html
105 Bytes
4. Image Processing/6.2 Gaussian Blurring.html
104 Bytes
7. Object Tracking/2.1 Optical Flow.html
103 Bytes
4. Image Processing/2.1 Information on HSL and HSV Color Mappings.html
102 Bytes
7. Object Tracking/5.2 MeanShift On Wikipedia.html
101 Bytes
7. Object Tracking/7.5 KCF Tracker.html
92 Bytes
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