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Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in various photo correction apps. Steady progress in object detection is being made every day.

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Computer Vision Tutorials  

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Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in various photo correction apps. Steady progress in object detection is being made every day. GANs is also a thing researchers are putting their eyes on these days. Vision is showing us the future of technology and we can’t even imagine what will be the end of its possibilities.

So do you want to take your first step in Computer Vision and participate in this latest movement? Welcome you are at the right place. From this article, we’re going to have a series of tutorials on the basics of image processing and object detection. This is the first part of OpenCV tutorial for beginners and the complete set of the series is as follows:

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    $ git clone "https://github.com/Robofied/Awesome-Computer-Vision-Guide"

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Content

No. Content Code
1 Images
2 Videos
3 Matplotlib
4 Drawing shapes
5 Masking
6 Trackbar
7 Blurring and Smoothing
8 Morphological Operation
9 Thresolding
10 Adaptive thresolding
11 Otsu thresolding
12 Transformation
13 Callback
14 Canny edge detection
15 Sobel and laplacian operation
16 Gradient
18 Hough line
19 Fourier transform
20 Contour
21 3D Map
22 Background filter
23 Corner detection
24 Gamma correction
25 Stereo blend
26 Template matching
27 Haar cascade
28 Color tracking
29 Mouse movement
30 Color Detection
31 Jack in the box
32 Lane detection
33 Pillow Library
34 Digital negative and Gray level slicing
35 Intensity transform
36 Histogram equalization
37 Cartoon effect
38 Image Registration Using Homography
39 Convert URL To Image
40 OpenCV in Colab
41 Word Detection
42 Mixing 2 Frames
43 Color Slicing
44 Camera Calibration
45 Align image

License

Licensed under the MIT License

Contributing to Awesome Computer Vision Guide

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

A detailed overview on how to contribute can be found in the contributing guide. There is also an overview on GitHub.

If you are simply looking to start working with the voicenet codebase, navigate to the GitHub "issues" tab and start looking through interesting issues. There are a number of issues listed under Docs and good first issue where you could start out.

You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions.

Or maybe through using you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’. You can do something about it!

Feel free to ask questions on the mailing list or on Slack.

Contributor

Hritik Jaiswal

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Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in various photo correction apps. Steady progress in object detection is being made every day.

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