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种子名称： [FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning
文件类型： 视频
文件数目： 88个文件
文件大小： 5.37 GB
收录时间： 2019-2-25 11:59
已经下载： 3次
资源热度： 174
最近下载： 2024-12-24 16:41

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

1. Course Overview and Introduction/1. Course Overview.mp427.15MB

1. Course Overview and Introduction/3. Course Curriculum Overview.mp422.97MB

1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.mp479.33MB

2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.mp43.74MB

2. NumPy and Image Basics/2. NumPy Arrays.mp485.91MB

2. NumPy and Image Basics/3. What is an image.mp433.95MB

2. NumPy and Image Basics/4. Images and NumPy.mp490.34MB

2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp416.32MB

2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp460.46MB

3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp497.27MB

3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.mp414.59MB

3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4126.97MB

3. Image Basics with OpenCV/3. Opening Image files with OpenCV.mp465.47MB

3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp441.63MB

3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.mp442.57MB

3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.mp454.92MB

3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.mp417.7MB

3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.mp449.26MB

3. Image Basics with OpenCV/9. Image Basics Assessment.mp426.42MB

4. Image Processing/10. Histograms - Part One.mp472.56MB

4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp469.01MB

4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp481.44MB

4. Image Processing/13. Image Processing Assessment.mp428.39MB

4. Image Processing/14. Image Processing Assessment Solutions.mp471.3MB

4. Image Processing/1. Introduction to Image Processing.mp44.3MB

4. Image Processing/2. Color Mappings.mp445.15MB

4. Image Processing/3. Blending and Pasting Images.mp485.65MB

4. Image Processing/4. Blending and Pasting Images Part Two - Masks.mp493.1MB

4. Image Processing/5. Image Thresholding.mp4138.3MB

4. Image Processing/6. Blurring and Smoothing.mp463.2MB

4. Image Processing/7. Blurring and Smoothing - Part Two.mp4235.81MB

4. Image Processing/8. Morphological Operators.mp496.78MB

4. Image Processing/9. Gradients.mp4113.36MB

5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.mp46.71MB

5. Video Basics with Python and OpenCV/2. Connecting to Camera.mp479.32MB

5. Video Basics with Python and OpenCV/3. Using Video Files.mp434.98MB

5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp497.99MB

5. Video Basics with Python and OpenCV/5. Video Basics Assessment.mp413.47MB

5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.mp433.4MB

6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp466.5MB

6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4109.17MB

6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4104.34MB

6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.mp454.86MB

6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4116.62MB

6. Object Detection with OpenCV and Python/15. Detection Assessment.mp432.08MB

6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.mp465MB

6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.mp412.79MB

6. Object Detection with OpenCV and Python/2. Template Matching.mp4116.63MB

6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.mp481.64MB

6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.mp450.3MB

6. Object Detection with OpenCV and Python/5. Edge Detection.mp469.63MB

6. Object Detection with OpenCV and Python/6. Grid Detection.mp442.74MB

6. Object Detection with OpenCV and Python/7. Contour Detection.mp458.3MB

6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp499.99MB

6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4177.41MB

7. Object Tracking/1. Introduction to Object Tracking.mp43.4MB

7. Object Tracking/2. Optical Flow.mp430.15MB

7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4111.37MB

7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.mp471.75MB

7. Object Tracking/5. MeanShift and CamShift Tracking Theory.mp431.48MB

7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp496.24MB

7. Object Tracking/7. Overview of various Tracking API Methods.mp436.51MB

7. Object Tracking/8. Tracking APIs with OpenCV.mp457.13MB

8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp424.76MB

8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4113.26MB

8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.mp425.59MB

8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.mp483.84MB

8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.mp475.93MB

8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.mp486.68MB

8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4137.75MB

8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.mp419.99MB

8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.mp450.8MB

8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.mp411.7MB

8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.mp421.78MB

8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4166.87MB

8. Deep Learning for Computer Vision/2. Machine Learning Basics.mp434.47MB

8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.mp477.53MB

8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.mp46.79MB

8. Deep Learning for Computer Vision/5. Understanding a Neuron.mp422.15MB

8. Deep Learning for Computer Vision/6. Understanding a Neural Network.mp429.37MB

8. Deep Learning for Computer Vision/7. Cost Functions.mp418.71MB

8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.mp416.89MB

8. Deep Learning for Computer Vision/9. Keras Basics.mp497.75MB

9. Capstone Project/1. Introduction to CapStone Project.mp49.91MB

9. Capstone Project/2. Capstone Part One - Variables and Background function.mp438.68MB

9. Capstone Project/3. Capstone Part Two - Segmentation.mp436.26MB

9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.mp488.88MB

9. Capstone Project/5. Capstone Part Four - Bringing it all together.mp487.03MB