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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:

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

You can run and edit the algorithms or contribute to them using Gitpod.io, a free online development environment, with a single click.

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

Licensed under the MIT License

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.

Hritik Jaiswal