Episode Details

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/

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

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

4. Sentdex
5. YouTube Channel: https://www.youtube.com/user/sentdex
6. Computer Vision Playlist: https://bit.ly/31eDwBO
7. Website: https://nnfs.io/

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

6. PyImageSearch
7. Website: https://www.pyimagesearch.com
8. YouTube Channel: https://bit.ly/3j8jxLa
9. Courses: https://www.pyimagesearch.com/books-and-courses/
10. O