OpenCV for Python Developers
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- Other > Other
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- 432.62 MiB (453634127 Bytes)
- Tag(s):
- Python OpenCV
- Uploaded:
- 2018-01-07 17:55:39 GMT
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- sky02nov
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OpenCV is an open-source toolkit for advanced computer vision. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics. This course offers Python developers a detailed introduction to OpenCV 3, starting with installing and configuring your Mac, Windows, or Linux development environment along with Python 3. Learn about the data and image types unique to OpenCV, and find out how to manipulate pixels and images. Instructor Patrick W. Crawford also shows how to read video streams as inputs, and create custom real-time video interfaces. Then comes the real power of OpenCV: object, facial, and feature detection. Learn how to leverage the image-processing power of OpenCV using methods like template matching and machine learning data to identify and recognize features. Topics include: * Installing and configuring OpenCV * Data types and structures * Image types * Manipulating pixels * Scaling and rotating images * Using video inputs * Creating custom interfaces * Thresholding * Object detection * Face and feature detection * Template matching
| 003 How to use the exercise files.srt | 653 B |
| 037 Challenge - Eye detection.srt | 1.26 KiB |
| 030 Challenge - Assign object ID and attributes.srt | 1.42 KiB |
| 002 What you should know.srt | 1.48 KiB |
| 001 Welcome.srt | 1.58 KiB |
| 004 Python and OpenCV.srt | 1.97 KiB |
| 040 Next steps.srt | 2.15 KiB |
| 032 Overview of face and feature detection.srt | 2.65 KiB |
| 009 Test the install.srt | 3.18 KiB |
| 021 Segmentation and binary images.srt | 3.2 KiB |
| 019 Challenge - Create a simple drawing app.srt | 3.36 KiB |
| 035 Haar cascading.srt | 3.55 KiB |
| 025 Introduction to contours.srt | 3.57 KiB |
| 029 Object detection overview.srt | 4.28 KiB |
| 033 Introduction to template matching.srt | 4.67 KiB |
| 011 Access and understand pixel data.srt | 6.76 KiB |
| 005 Install on Mac OS X.srt | 7.02 KiB |
| 036 Face detection.srt | 7.06 KiB |
| 028 Canny edge detection.srt | 7.29 KiB |
| 023 Adaptive thresholding.srt | 7.35 KiB |
| 016 Scale and rotate images.srt | 7.43 KiB |
| 018 Create custom interfaces.srt | 7.5 KiB |
| 006 Install on Windows 7.srt | 7.61 KiB |
| 039 Additional techniques.srt | 7.77 KiB |
| 008 Install on Linux - Compile OpenCV.srt | 7.88 KiB |
| 038 Solution - Eye detection.srt | 7.9 KiB |
| 026 Contour object detection.srt | 7.91 KiB |
| 017 Use video inputs.srt | 8.05 KiB |
| 010 Get started with OpenCV and Python.srt | 8.11 KiB |
| 014 Pixel manipulation and filtering.srt | 8.12 KiB |
| 007 Install on Linux - Prerequisites.srt | 8.61 KiB |
| 027 Area, perimeter, center, and curvature.srt | 9.5 KiB |
| 034 Application of template matching.srt | 9.75 KiB |
| 015 Blur, dilation, and erosion.srt | 9.82 KiB |
| 024 Skin detection.srt | 10.34 KiB |
| 022 Simple thresholding.srt | 11.29 KiB |
| 020 Solution - Create a simple drawing app.srt | 12.76 KiB |
| 012 Data types and structures.srt | 13.17 KiB |
| 031 Solution - Assign object ID and attributes.srt | 13.32 KiB |
| OpenCV for Python Developers.torrent | 13.73 KiB |
| 013 Image types and color channels.srt | 16.25 KiB |
| 003 How to use the exercise files.mp4 | 598.47 KiB |
| 037 Challenge - Eye detection.mp4 | 2.01 MiB |
| 002 What you should know.mp4 | 2.22 MiB |
| 030 Challenge - Assign object ID and attributes.mp4 | 2.72 MiB |
| 004 Python and OpenCV.mp4 | 3 MiB |
| 040 Next steps.mp4 | 3.27 MiB |
| 021 Segmentation and binary images.mp4 | 4.08 MiB |
| 009 Test the install.mp4 | 4.08 MiB |
| 032 Overview of face and feature detection.mp4 | 4.13 MiB |
| 019 Challenge - Create a simple drawing app.mp4 | 4.31 MiB |
| 025 Introduction to contours.mp4 | 4.34 MiB |
| 035 Haar cascading.mp4 | 5.26 MiB |
| 029 Object detection overview.mp4 | 5.88 MiB |
| 033 Introduction to template matching.mp4 | 6.33 MiB |
| 001 Welcome.mp4 | 6.55 MiB |
| 011 Access and understand pixel data.mp4 | 9.49 MiB |
| 026 Contour object detection.mp4 | 10.49 MiB |
| 039 Additional techniques.mp4 | 10.89 MiB |
| 028 Canny edge detection.mp4 | 10.92 MiB |
| Ex_Files_OpenCV_Python_Dev.zip | 11.28 MiB |
| 006 Install on Windows 7.mp4 | 11.29 MiB |
| 010 Get started with OpenCV and Python.mp4 | 11.42 MiB |
| 017 Use video inputs.mp4 | 11.46 MiB |
| 014 Pixel manipulation and filtering.mp4 | 11.47 MiB |
| 023 Adaptive thresholding.mp4 | 12.42 MiB |
| 038 Solution - Eye detection.mp4 | 12.61 MiB |
| 018 Create custom interfaces.mp4 | 12.78 MiB |
| 034 Application of template matching.mp4 | 12.99 MiB |
| 036 Face detection.mp4 | 13.07 MiB |
| 016 Scale and rotate images.mp4 | 14 MiB |
| 022 Simple thresholding.mp4 | 14.73 MiB |
| 015 Blur, dilation, and erosion.mp4 | 15.06 MiB |
| 027 Area, perimeter, center, and curvature.mp4 | 15.18 MiB |
| 008 Install on Linux - Compile OpenCV.mp4 | 16.64 MiB |
| 020 Solution - Create a simple drawing app.mp4 | 17.18 MiB |
| 012 Data types and structures.mp4 | 18.01 MiB |
| 024 Skin detection.mp4 | 18.78 MiB |
| 007 Install on Linux - Prerequisites.mp4 | 18.98 MiB |
| 005 Install on Mac OS X.mp4 | 19.18 MiB |
| 031 Solution - Assign object ID and attributes.mp4 | 19.69 MiB |
| 013 Image types and color channels.mp4 | 23.57 MiB |
