[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

磁力链接/BT种子名称

[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

磁力链接/BT种子简介

种子哈希：f9a5324a256e2588055701e9f077ce1a1f66406c
文件大小： 5.73G
已经下载：1338次
下载速度：极快
收录时间：2021-03-23
最近下载：2025-07-19

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:F9A5324A256E2588055701E9F077CE1A1F66406C
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 TikTok成人版 PornHub 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

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 102.8 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.vtt 66.3 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 47.4 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 44.7 MB
  • 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.mp4 43.7 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 36.2 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 33.7 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 22.9 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.vtt 27.5 kB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.vtt 26.6 kB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.vtt 26.4 kB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.vtt 25.7 kB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.vtt 25.4 kB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.vtt 24.9 kB
  • 4. Image Processing/5. Image Thresholding.vtt 23.8 kB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.vtt 23.7 kB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.vtt 23.4 kB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.vtt 23.3 kB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.vtt 23.3 kB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.vtt 22.3 kB
  • 2. NumPy and Image Basics/2. NumPy Arrays.vtt 22.1 kB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.vtt 22.0 kB
  • 8. Deep Learning for Computer Vision/13. Keras Convolutional Neural Networks with MNIST.vtt 21.4 kB
  • 4. Image Processing/4. Blending and Pasting Images Part Two - Masks.vtt 20.5 kB
  • 8. Deep Learning for Computer Vision/3. Understanding Classification Metrics.vtt 20.4 kB
  • 4. Image Processing/8. Morphological Operators.vtt 20.2 kB
  • 5. Video Basics with Python and OpenCV/2. Connecting to Camera.vtt 20.1 kB
  • 8. Deep Learning for Computer Vision/16. Deep Learning on Custom Images - Part One.vtt 20.0 kB
  • 4. Image Processing/9. Gradients.vtt 18.8 kB
  • 4. Image Processing/3. Blending and Pasting Images.vtt 18.8 kB
  • 6. Object Detection with OpenCV and Python/3. Corner Detection - Part One - Harris Corner Detection.vtt 18.5 kB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.vtt 18.0 kB
  • 1. Course Overview and Introduction/4. Getting Set-Up for the Course Content.vtt 17.9 kB
  • 9. Capstone Project/1.1 07-Capstone-Project.zip.zip 17.1 kB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.vtt 17.1 kB
  • 4. Image Processing/11. Histograms - Part Two - Histogram Eqaulization.vtt 17.1 kB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.vtt 17.0 kB
  • 9. Capstone Project/4. Capstone Part Three - Counting and ConvexHull.vtt 16.9 kB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.vtt 16.8 kB
  • 7. Object Tracking/1.1 05-Object-Tracking.zip.zip 16.8 kB
  • 4. Image Processing/10. Histograms - Part One.vtt 16.4 kB
  • 6. Object Detection with OpenCV and Python/10. Watershed Algorithm - Part One.vtt 15.4 kB
  • 3. Image Basics with OpenCV/3. Opening Image files with OpenCV.vtt 15.3 kB
  • 2. NumPy and Image Basics/4. Images and NumPy.vtt 15.1 kB
  • 6. Object Detection with OpenCV and Python/7. Contour Detection.vtt 14.5 kB
  • 8. Deep Learning for Computer Vision/14. Keras Convolutional Neural Networks with CIFAR-10.vtt 14.4 kB
  • 9. Capstone Project/5. Capstone Part Four - Bringing it all together.vtt 13.9 kB
  • 3. Image Basics with OpenCV/8. Direct Drawing on Images with a mouse - Part Three.vtt 13.8 kB
  • 3. Image Basics with OpenCV/4. Drawing on Images - Part One - Basic Shapes.vtt 13.6 kB
  • 7. Object Tracking/4. Optical Flow Coding with OpenCV - Part Two.vtt 13.5 kB
  • 6. Object Detection with OpenCV and Python/5. Edge Detection.vtt 13.1 kB
  • 3. Image Basics with OpenCV/5. Drawing on Images Part Two - Text and Polygons.vtt 13.0 kB
  • 3. Image Basics with OpenCV/6. Direct Drawing on Images with a mouse - Part One.vtt 12.7 kB
  • 6. Object Detection with OpenCV and Python/13. Introduction to Face Detection.vtt 12.6 kB
  • 2. NumPy and Image Basics/6. NumPy and Image Assessment Test - Solutions.vtt 12.4 kB
  • 6. Object Detection with OpenCV and Python/6. Grid Detection.vtt 11.0 kB
  • 8. Deep Learning for Computer Vision/2. Machine Learning Basics.vtt 10.5 kB
  • 4. Image Processing/12. Histograms Part Three - Histogram Equalization.vtt 10.5 kB
  • 9. Capstone Project/2. Capstone Part One - Variables and Background function.vtt 10.2 kB
  • 4. Image Processing/14. Image Processing Assessment Solutions.vtt 10.1 kB
  • 7. Object Tracking/8. Tracking APIs with OpenCV.vtt 10.1 kB
  • 7. Object Tracking/7. Overview of various Tracking API Methods.vtt 10.0 kB
  • 5. Video Basics with Python and OpenCV/3. Using Video Files.vtt 9.9 kB
  • 6. Object Detection with OpenCV and Python/4. Corner Detection - Part Two - Shi-Tomasi Detection.vtt 9.2 kB
  • 8. Deep Learning for Computer Vision/6. Understanding a Neural Network.vtt 8.8 kB
  • 4. Image Processing/2. Color Mappings.vtt 8.7 kB
  • 6. Object Detection with OpenCV and Python/16. Detection Assessment Solutions.vtt 8.5 kB
  • 8. Deep Learning for Computer Vision/19. Deep Learning and Convolutional Neural Networks Assessment Solutions.vtt 8.3 kB
  • 7. Object Tracking/5. MeanShift and CamShift Tracking Theory.vtt 8.2 kB
  • 7. Object Tracking/2. Optical Flow.vtt 8.0 kB
  • 2. NumPy and Image Basics/3. What is an image.vtt 7.8 kB
  • 1. Course Overview and Introduction/1. Course Overview.vtt 7.6 kB
  • 9. Capstone Project/3. Capstone Part Two - Segmentation.vtt 7.4 kB
  • 8. Deep Learning for Computer Vision/5. Understanding a Neuron.vtt 7.0 kB
  • 1. Course Overview and Introduction/3. Course Curriculum Overview.vtt 6.8 kB
  • 5. Video Basics with Python and OpenCV/6. Video Basics Assessment Solutions.vtt 6.7 kB
  • 8. Deep Learning for Computer Vision/10. MNIST Data Overview.vtt 6.2 kB
  • 10. BONUS DISCOUNT COUPONS FOR OTHER COURSES/1. Bonus Lecture Coupons.html 5.9 kB
  • 4. Image Processing/13. Image Processing Assessment.vtt 5.8 kB
  • 8. Deep Learning for Computer Vision/12. Convolutional Neural Networks Overview - Part Two.vtt 5.7 kB
  • 3. Image Basics with OpenCV/9. Image Basics Assessment.vtt 5.4 kB
  • 6. Object Detection with OpenCV and Python/15. Detection Assessment.vtt 5.4 kB
  • 8. Deep Learning for Computer Vision/7. Cost Functions.vtt 4.8 kB
  • 8. Deep Learning for Computer Vision/8. Gradient Descent and Back Propagation.vtt 4.6 kB
  • 8. Deep Learning for Computer Vision/20. Introduction to YOLO v3.vtt 4.4 kB
  • 2. NumPy and Image Basics/5. NumPy and Image Assessment Test.vtt 4.2 kB
  • 8. Deep Learning for Computer Vision/18. Deep Learning and Convolutional Neural Networks Assessment.vtt 3.9 kB
  • 3. Image Basics with OpenCV/1. Introduction to Images and OpenCV Basics.vtt 3.8 kB
  • 3. Image Basics with OpenCV/7. Direct Drawing on Images with a mouse - Part Two.vtt 3.7 kB
  • 6. Object Detection with OpenCV and Python/1. Introduction to Object Detection.vtt 3.6 kB
  • 8. Deep Learning for Computer Vision/1. Introduction to Deep Learning for Computer Vision.vtt 3.5 kB
  • 5. Video Basics with Python and OpenCV/5. Video Basics Assessment.vtt 2.6 kB
  • 8. Deep Learning for Computer Vision/4. Introduction to Deep Learning Topics.vtt 2.0 kB
  • 1. Course Overview and Introduction/2. FAQ - Frequently Asked Questions.html 1.7 kB
  • 5. Video Basics with Python and OpenCV/1. Introduction to Video Basics.vtt 1.7 kB
  • 9. Capstone Project/1. Introduction to CapStone Project.vtt 1.2 kB
  • 2. NumPy and Image Basics/1. Introduction to Numpy and Image Section.vtt 870 Bytes
  • 4. Image Processing/1. Introduction to Image Processing.vtt 859 Bytes
  • 7. Object Tracking/1. Introduction to Object Tracking.vtt 772 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/7.4 Median Flow Tracker Info.html 144 Bytes
  • 1. Course Overview and Introduction/4.2 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/4.1 Download for cvcourse_macos.yml.html 127 Bytes
  • 1. Course Overview and Introduction/4.3 Download Link for cvcourse_linux.yml.html 127 Bytes
  • [FreeCourseLab.com].url 126 Bytes
  • 7. Object Tracking/7.5 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/8.2 Math Behind Morphology.html 114 Bytes
  • 7. Object Tracking/7.1 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/8.1 Really great link on Morphological Operators.html 112 Bytes
  • 6. Object Detection with OpenCV and Python/5.1 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 Image Gradients.html 105 Bytes
  • 4. Image Processing/9.2 Sobel Operators.html 105 Bytes
  • 6. Object Detection with OpenCV and Python/5.2 Edege Detection.html 105 Bytes
  • 7. Object Tracking/7.3 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/5.1 MeanShift On Wikipedia.html 101 Bytes
  • 7. Object Tracking/7.2 KCF Tracker.html 92 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！