I'm interested in writing some basic computerized object recognition application, so I figure I need some theoretical background in image processing algorithms, along with some AI for decision making capabilities.
I'm a computer science graduate, and one day I plan to get my Master's degree, hopefully in one of these fields. In the mean time, I'd like to get a head start and do some self-learning.
So my question is, where do I start? I'd appreciate an arrow in the right direction, a few links if possible.
To summarize: Tensorflow is better than OpenCV for some use cases and OpenCV is better than Tensorflow in some other use cases. Tensorflow's points of strength are in the training side. OpenCV's points of strength are in the deployment side, if you're deploying your models as part of a C++ application/API/SDK.
You may want to check out the answers to these similar question:
Maybe take a look at: OpenCV. Really good library for image processing, and when you will know what to use for what purpose, you can take a look 'under the hood' to know how is it working :)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With