Fundamentals of COMPUTER Vision, HOW COMPUTERS CAN SEE? | Rohit Gupta | TGV Episode #49

In this episode #49, the hosts Naveen Samala & Sudhakar Nagandla have interacted with another guest Rohit.

Rohit Gupta is a Technical Trainer, who holds a Master’s degree in Informatics, from the University of Delhi, and a Bachelor’s degree in Electronic Science, from the University of Delhi. 

He is also C# Corner MVP (Most Valuable professional), Author, Speaker.

Rohit is deeply interested in the field of Artificial Intelligence, Machine Learning, and Python.

His aim Is to make World’s First Human-Like Humanoid.

Rohit believes in the statement “bonding between Machines and Humans will make this world a better place.

Listen to Rohit’s lessons on:

• Basics of Computer Vision and its relation to AI, DS & ML
• How computers can SEE?
• How image processing is different from Computer Vision?
• Preprocessing and post processing of Computer Vision
• Why is it necessary for a machine to see & detect correctly J
• How can one start learning Computer Vision
• Commonly used Computer Vision libraries
• Current limitations & Future of Computer vision

Here are the resources shared by Rohit:

1. NPTEL
2. Website: https://nptel.ac.in/
3. Computer Vision: https://nptel.ac.in/courses/106/105/106105216/

1. Krish Naik
2. Complete OpenCV: https://bit.ly/3k80jXy
3. YouTube Channel: https://www.youtube.com/user/krishnaik06

1. OpenCV
2. Downloadable tutorials: https://docs.opencv.org/
3. PDF Documentation: https://docs.opencv.org/2.4/opencv2refman.pdf
4. Online Tutorials: https://docs.opencv.org/master/d6/d00/tutorial_py_root.html
5. Official OpenCV Courses: https://opencv.org/courses/

1. Sentdex
2. YouTube Channel: https://www.youtube.com/user/sentdex
3. Computer Vision Playlist: https://bit.ly/31eDwBO
4. Website: https://nnfs.io/

1. Computer Vision:
2. C# Corner: https://www.c-sharpcorner.com/topics/computer-vision
3. Coursera Nanodegree: https://bit.ly/348k6Ax
4. TEDx: https://bit.ly/3lX0NQD
5. Udacity Free Resources: https://bit.ly/3o2k6Kb
6. Stanford Resources: https://bit.ly/3lYZosR
7. Robofied: https://www.instagram.com/robofied/?hl=en
8. neuralnet.ai: https://www.instagram.com/neuralnet.ai/?hl=en
9. Pytorch: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html

1. PyImageSearch
2. Website: https://www.pyimagesearch.com
3. YouTube Channel: https://bit.ly/3j8jxLa
4. Courses: https://www.pyimagesearch.com/books-and-courses/
5. OpenCV Tutorials: https://www.pyimagesearch.com/category/opencv/

1. Machine Learning India
2. LinkedIn: https://www.linkedin.com/company/mlindia/
3. Website: https://linktr.ee/mlindia
4. Twitter: https://twitter.com/ml_india_
5. Instagram: https://instagram.com/ml.india
6. Telegram: https://t.me/machinelearning24x7

1. Rohit Gupta
2. LinkedIn: https://www.linkedin.com/in/rohit-gupta-ai/
3. Twitter: https://twitter.com/RohitGuptaAI
4. Instagram: https://www.instagram.com/rohitgupta161093/
5. Facebook: https://www.facebook.com/rohit.gupta.33633
6. Gmail: gupta.rohitg.rohit900@gmail.comf. Telegram: https://t.me/rohit_gupta_ai
7. C# Corner Profile: https://www.c-sharpcorner.com/members/rohit-gupta95

Enjoy the episode!

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