[DesireCourse.Net] Udemy - Python for Computer Vision with OpenCV and Deep Learning

Creation Time	Feb. 2, 2026, 3:59 p.m.
Last Access Time	Feb. 2, 2026, 3:59 p.m.
File Size	5.7 GB
Keywords	and for Python DesireCourse - Deep Udemy OpenCV Computer Learning Net with Vision
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Total Files	227
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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 306.2 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 235.8 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 177.4 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 166.9 MB
4. Image Processing/5. Image Thresholding.mp4 138.3 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 137.7 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 127.0 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 116.6 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 116.6 MB
4. Image Processing/9. Gradients.mp4 113.4 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 113.3 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 111.4 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 109.2 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 104.3 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 100.0 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 98.0 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 97.7 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 97.3 MB
4. Image Processing/8. Morphological Operators.mp4 96.8 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 96.2 MB
4. Image Processing/4. Blending and Pasting Images Part Two - Masks.mp4 93.1 MB
2. NumPy and Image Basics/4. Images and NumPy.mp4 90.3 MB
9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.mp4 88.9 MB
9. Capstone Project/5. Capstone Part Four - Bringing it all together.mp4 87.0 MB
8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.mp4 86.7 MB
2. NumPy and Image Basics/2. NumPy Arrays.mp4 85.9 MB
4. Image Processing/3. Blending and Pasting Images.mp4 85.7 MB
8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.mp4 83.8 MB
6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.mp4 81.6 MB
4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp4 81.4 MB
1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.mp4 79.3 MB
5. Video Basics with Python and OpenCV/2. Connecting to Camera.mp4 79.3 MB
8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.mp4 77.5 MB
8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.mp4 75.9 MB
4. Image Processing/10. Histograms - Part One.mp4 72.6 MB
7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.mp4 71.7 MB
4. Image Processing/14. Image Processing Assessment Solutions.mp4 71.3 MB
6. Object Detection with OpenCV and Python/5. Edge Detection.mp4 69.6 MB
4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp4 69.0 MB
6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp4 66.5 MB
3. Image Basics with OpenCV/3. Opening Image files with OpenCV.mp4 65.5 MB
6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.mp4 65.0 MB
4. Image Processing/6. Blurring and Smoothing.mp4 63.2 MB
2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp4 60.5 MB
6. Object Detection with OpenCV and Python/7. Contour Detection.mp4 58.3 MB
7. Object Tracking/8. Tracking APIs with OpenCV.mp4 57.1 MB
3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp4 54.9 MB
6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp4 54.9 MB
8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp4 50.8 MB
6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp4 50.3 MB
3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp4 49.3 MB
4. Image Processing/2. Color Mappings.mp4 45.2 MB
6. Object Detection with OpenCV and Python/6. Grid Detection.mp4 42.8 MB
3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp4 42.6 MB
3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp4 41.6 MB
9. Capstone Project/2. Capstone Part One - Variables and Background function.mp4 38.7 MB
7. Object Tracking/7. Overview of various Tracking API Methods.mp4 36.5 MB
9. Capstone Project/3. Capstone Part Two - Segmentation.mp4 36.3 MB
5. Video Basics with Python and OpenCV/3. Using Video Files.mp4 35.0 MB
8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp4 34.5 MB
2. NumPy and Image Basics/3. What is an image.mp4 33.9 MB
5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp4 33.4 MB
6. Object Detection with OpenCV and Python/15. Detection Assessment.mp4 32.1 MB
7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp4 31.5 MB
7. Object Tracking/2. Optical Flow.mp4 30.1 MB
8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp4 29.4 MB
4. Image Processing/13. Image Processing Assessment.mp4 28.4 MB
1. Course Overview and Introduction/1. Course Overview.mp4 27.2 MB
3. Image Basics with OpenCV/9. Image Basics Assessment.mp4 26.4 MB
8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp4 25.6 MB
8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp4 24.7 MB
1. Course Overview and Introduction/3. Course Curriculum Overview.mp4 23.0 MB
8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp4 22.2 MB
8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp4 21.8 MB
8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp4 20.0 MB
8. Deep Learning for Computer Vision/7. Cost Functions.mp4 18.7 MB
3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp4 17.7 MB
8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp4 16.9 MB
2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp4 16.3 MB
3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp4 14.6 MB
5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp4 13.5 MB
6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp4 12.8 MB
8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp4 11.7 MB
9. Capstone Project/1. Introduction to CapStone Project.mp4 9.9 MB
8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp4 6.8 MB
5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp4 6.7 MB
4. Image Processing/1. Introduction to Image Processing.mp4 4.3 MB
2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp4 3.7 MB
7. Object Tracking/1. Introduction to Object Tracking.mp4 3.4 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.srt 30.9 KB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.srt 29.8 KB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.srt 29.8 KB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.srt 28.9 KB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.srt 28.6 KB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.srt 27.7 KB
6. Object Detection with OpenCV and Python/2. Template Matching.srt 26.6 KB
4. Image Processing/5. Image Thresholding.srt 26.6 KB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.srt 26.4 KB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.srt 26.2 KB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.srt 26.1 KB
8. Deep Learning for Computer Vision/9. Keras Basics.srt 25.0 KB
2. NumPy and Image Basics/2. NumPy Arrays.srt 24.9 KB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.srt 24.8 KB
8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.srt 24.1 KB
4. Image Processing/4. Blending and Pasting Images Part Two - Masks.srt 22.9 KB
8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.srt 22.7 KB
4. Image Processing/8. Morphological Operators.srt 22.6 KB
5. Video Basics with Python and OpenCV/2. Connecting to Camera.srt 22.6 KB
8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.srt 22.4 KB
4. Image Processing/3. Blending and Pasting Images.srt 21.0 KB
4. Image Processing/9. Gradients.srt 21.0 KB
6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.srt 20.7 KB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.srt 20.1 KB
1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.srt 20.0 KB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.srt 19.3 KB
4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.srt 19.2 KB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.srt 18.8 KB
9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.srt 18.7 KB
4. Image Processing/10. Histograms - Part One.srt 18.4 KB
6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.srt 17.2 KB
3. Image Basics with OpenCV/3. Opening Image files with OpenCV.srt 17.1 KB
2. NumPy and Image Basics/4. Images and NumPy.srt 17.0 KB
9. Capstone Project/1.1 07-Capstone-Project.zip 16.7 KB
7. Object Tracking/1.1 05-Object-Tracking.zip 16.4 KB
6. Object Detection with OpenCV and Python/7. Contour Detection.srt 16.2 KB
8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.srt 16.1 KB
9. Capstone Project/5. Capstone Part Four - Bringing it all together.srt 15.6 KB
3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.srt 15.4 KB
3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.srt 15.3 KB
7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.srt 15.1 KB
6. Object Detection with OpenCV and Python/5. Edge Detection.srt 14.6 KB
3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.srt 14.6 KB
3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.srt 14.1 KB
6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.srt 13.9 KB
2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.srt 13.9 KB
6. Object Detection with OpenCV and Python/6. Grid Detection.srt 12.2 KB
4. Image Processing/12. Histograms Part Three - Histogram Equalization.srt 11.7 KB
8. Deep Learning for Computer Vision/2. Machine Learning Basics.srt 11.5 KB
4. Image Processing/14. Image Processing Assessment Solutions.srt 11.4 KB
7. Object Tracking/8. Tracking APIs with OpenCV.srt 11.3 KB
9. Capstone Project/2. Capstone Part One - Variables and Background function.srt 11.2 KB
5. Video Basics with Python and OpenCV/3. Using Video Files.srt 11.0 KB
7. Object Tracking/7. Overview of various Tracking API Methods.srt 11.0 KB
4. Image Processing/6. Blurring and Smoothing.srt 10.6 KB
6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.srt 10.3 KB
8. Deep Learning for Computer Vision/6. Understanding a Neural Network.srt 9.8 KB
4. Image Processing/2. Color Mappings.srt 9.6 KB
6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.srt 9.5 KB
8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.srt 9.3 KB
7. Object Tracking/5. MeanShift and CamShift Tracking Theory.srt 9.0 KB
7. Object Tracking/2. Optical Flow.srt 8.8 KB
2. NumPy and Image Basics/3. What is an image.srt 8.7 KB
1. Course Overview and Introduction/1. Course Overview.srt 8.4 KB
9. Capstone Project/3. Capstone Part Two - Segmentation.srt 8.3 KB
8. Deep Learning for Computer Vision/5. Understanding a Neuron.srt 7.8 KB
5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.srt 7.5 KB
1. Course Overview and Introduction/3. Course Curriculum Overview.srt 7.5 KB
8. Deep Learning for Computer Vision/10. MNIST Data Overview.srt 6.9 KB
4. Image Processing/13. Image Processing Assessment.srt 6.4 KB
8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.srt 6.3 KB
3. Image Basics with OpenCV/9. Image Basics Assessment.srt 6.1 KB
6. Object Detection with OpenCV and Python/15. Detection Assessment.srt 6.0 KB
8. Deep Learning for Computer Vision/7. Cost Functions.srt 5.3 KB
8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.srt 5.0 KB
8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.srt 4.8 KB
2. NumPy and Image Basics/5. NumPy and Image Assessment Test.srt 4.7 KB
8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.srt 4.4 KB
3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.srt 4.2 KB
3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.srt 4.2 KB
6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.srt 3.9 KB
8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.srt 3.8 KB
5. Video Basics with Python and OpenCV/5. Video Basics Assessment.srt 2.9 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 1.9 KB
1. Course Overview and Introduction/2. FAQ - Frequently Asked Questions.html 1.7 KB
9. Capstone Project/1. Introduction to CapStone Project.srt 1.3 KB
2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.srt 982 bytes
4. Image Processing/1. Introduction to Image Processing.srt 958 bytes
7. Object Tracking/1. Introduction to Object Tracking.srt 871 bytes
10. BONUS SECTION THANK YOU!/1. BONUS LECTURE.html 532 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
7. Object Tracking/5.2 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
1. Course Overview and Introduction/4.2 Download Link for cvcourse_linux.yml.html 127 bytes
1. Course Overview and Introduction/4.3 Download for cvcourse_macos.yml.html 127 bytes
7. Object Tracking/7.4 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/7.2 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/2.1 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/2.2 Information on HSL and HSV Color Mappings.html 102 bytes
7. Object Tracking/5.1 MeanShift On Wikipedia.html 101 bytes
7. Object Tracking/7.5 KCF Tracker.html 92 bytes
0. Websites you may like/[DesireCourse.Net].url 51 bytes
1. Course Overview and Introduction/[DesireCourse.Net].url 51 bytes
10. BONUS SECTION THANK YOU!/[DesireCourse.Net].url 51 bytes
4. Image Processing/[DesireCourse.Net].url 51 bytes
7. Object Tracking/[DesireCourse.Net].url 51 bytes
[DesireCourse.Net].url 51 bytes
0. Websites you may like/[CourseClub.Me].url 48 bytes
1. Course Overview and Introduction/[CourseClub.Me].url 48 bytes
10. BONUS SECTION THANK YOU!/[CourseClub.Me].url 48 bytes
4. Image Processing/[CourseClub.Me].url 48 bytes
7. Object Tracking/[CourseClub.Me].url 48 bytes
[CourseClub.Me].url 48 bytes
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.srt 0 bytes

[DesireCourse.Net] Udemy - Python for Computer Vision with OpenCV and Deep Learning

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