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OpenCV for Python Developers

  • 收录时间:2018-05-26 04:07:48
  • 文件大小:433MB
  • 下载次数:285
  • 最近下载:2021-01-15 12:13:26
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文件列表

  1. 013 Image types and color channels.mp4 24MB
  2. 031 Solution - Assign object ID and attributes.mp4 20MB
  3. 005 Install on Mac OS X.mp4 19MB
  4. 007 Install on Linux - Prerequisites.mp4 19MB
  5. 024 Skin detection.mp4 19MB
  6. 012 Data types and structures.mp4 18MB
  7. 020 Solution - Create a simple drawing app.mp4 17MB
  8. 008 Install on Linux - Compile OpenCV.mp4 17MB
  9. 027 Area, perimeter, center, and curvature.mp4 15MB
  10. 015 Blur, dilation, and erosion.mp4 15MB
  11. 022 Simple thresholding.mp4 15MB
  12. 016 Scale and rotate images.mp4 14MB
  13. 036 Face detection.mp4 13MB
  14. 034 Application of template matching.mp4 13MB
  15. 018 Create custom interfaces.mp4 13MB
  16. 038 Solution - Eye detection.mp4 13MB
  17. 023 Adaptive thresholding.mp4 12MB
  18. 014 Pixel manipulation and filtering.mp4 11MB
  19. 017 Use video inputs.mp4 11MB
  20. 010 Get started with OpenCV and Python.mp4 11MB
  21. 006 Install on Windows 7.mp4 11MB
  22. Ex_Files_OpenCV_Python_Dev.zip 11MB
  23. 028 Canny edge detection.mp4 11MB
  24. 039 Additional techniques.mp4 11MB
  25. 026 Contour object detection.mp4 10MB
  26. 011 Access and understand pixel data.mp4 9MB
  27. 001 Welcome.mp4 7MB
  28. 033 Introduction to template matching.mp4 6MB
  29. 029 Object detection overview.mp4 6MB
  30. 035 Haar cascading.mp4 5MB
  31. 025 Introduction to contours.mp4 4MB
  32. 019 Challenge - Create a simple drawing app.mp4 4MB
  33. 032 Overview of face and feature detection.mp4 4MB
  34. 009 Test the install.mp4 4MB
  35. 021 Segmentation and binary images.mp4 4MB
  36. 040 Next steps.mp4 3MB
  37. 004 Python and OpenCV.mp4 3MB
  38. 030 Challenge - Assign object ID and attributes.mp4 3MB
  39. 002 What you should know.mp4 2MB
  40. 037 Challenge - Eye detection.mp4 2MB
  41. 003 How to use the exercise files.mp4 598KB
  42. 013 Image types and color channels.srt 16KB
  43. OpenCV for Python Developers.torrent 14KB
  44. 031 Solution - Assign object ID and attributes.srt 13KB
  45. 012 Data types and structures.srt 13KB
  46. 020 Solution - Create a simple drawing app.srt 13KB
  47. 022 Simple thresholding.srt 11KB
  48. 024 Skin detection.srt 10KB
  49. 015 Blur, dilation, and erosion.srt 10KB
  50. 034 Application of template matching.srt 10KB
  51. 027 Area, perimeter, center, and curvature.srt 10KB
  52. 007 Install on Linux - Prerequisites.srt 9KB
  53. 014 Pixel manipulation and filtering.srt 8KB
  54. 010 Get started with OpenCV and Python.srt 8KB
  55. 017 Use video inputs.srt 8KB
  56. 026 Contour object detection.srt 8KB
  57. 038 Solution - Eye detection.srt 8KB
  58. 008 Install on Linux - Compile OpenCV.srt 8KB
  59. 039 Additional techniques.srt 8KB
  60. 006 Install on Windows 7.srt 8KB
  61. 018 Create custom interfaces.srt 8KB
  62. 016 Scale and rotate images.srt 7KB
  63. 023 Adaptive thresholding.srt 7KB
  64. 028 Canny edge detection.srt 7KB
  65. 036 Face detection.srt 7KB
  66. 005 Install on Mac OS X.srt 7KB
  67. 011 Access and understand pixel data.srt 7KB
  68. 033 Introduction to template matching.srt 5KB
  69. 029 Object detection overview.srt 4KB
  70. 025 Introduction to contours.srt 4KB
  71. 035 Haar cascading.srt 4KB
  72. 019 Challenge - Create a simple drawing app.srt 3KB
  73. 021 Segmentation and binary images.srt 3KB
  74. 009 Test the install.srt 3KB
  75. 032 Overview of face and feature detection.srt 3KB
  76. 040 Next steps.srt 2KB
  77. 004 Python and OpenCV.srt 2KB
  78. 001 Welcome.srt 2KB
  79. 002 What you should know.srt 1KB
  80. 030 Challenge - Assign object ID and attributes.srt 1KB
  81. 037 Challenge - Eye detection.srt 1KB
  82. 003 How to use the exercise files.srt 653B