[FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning - 磁力狗

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文档个数：215个文档
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收录时间：2020-06-01
最近下载：2025-02-06

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文档列表

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
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
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
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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