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[UdemyCourseDownloader] Python for Computer Vision with OpenCV and Deep Learning

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种子名称: [UdemyCourseDownloader] Python for Computer Vision with OpenCV and Deep Learning
文件类型: 视频
文件数目: 83个文件
文件大小: 5.12 GB
收录时间: 2019-10-28 20:48
已经下载: 3
资源热度: 143
最近下载: 2024-12-15 07:43

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[UdemyCourseDownloader] 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.mp422.96MB
  • 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.mp490.33MB
  • 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.mp416.31MB
  • 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.mp460.46MB
  • 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
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp497.26MB
  • 4. Image Processing/1. Introduction to Image Processing.mp44.29MB
  • 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.mp493.09MB
  • 4. Image Processing/5. Image Thresholding.mp4138.3MB
  • 4. Image Processing/6. Blurring and Smoothing.mp463.19MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4235.81MB
  • 4. Image Processing/8. Morphological Operators.mp496.77MB
  • 4. Image Processing/9. Gradients.mp4113.36MB
  • 4. Image Processing/10. Histograms - Part One.mp472.56MB
  • 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.mp469MB
  • 4. Image Processing/12. Histograms Part Three - Histogram Equalization.mp481.44MB
  • 4. Image Processing/13. Image Processing Assessment.mp428.38MB
  • 4. Image Processing/14. Image Processing Assessment Solutions.mp471.29MB
  • 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.mp479.31MB
  • 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/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.mp450.29MB
  • 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.mp458.29MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp499.98MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4177.4MB
  • 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.mp466.49MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4109.16MB
  • 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.mp454.85MB
  • 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
  • 7. Object Tracking/1. Introduction to Object Tracking.mp43.4MB
  • 7. Object Tracking/2. Optical Flow.mp430.14MB
  • 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.mp431.47MB
  • 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/1. Introduction to Deep Learning for Computer Vision.mp411.7MB
  • 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.mp416.88MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp497.74MB
  • 8. Deep Learning for Computer Vision/10. MNIST Data Overview.mp424.75MB
  • 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.mp4137.74MB
  • 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/20. Introduction to YOLO v3.mp421.78MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4166.86MB