This is just a overview demo of the functionality implemented so far. The code is not shared for this as the functionality is still need lot of improvement and there are lot of feature we need to add.
Many are working on the computer's vision power. We are well aware in today's era voice recognition is already there in other words now our computer can hear us. By the help of NLTK the hearing power and understanding the word is much improved. By this, we are now focussing how better we can make our computer or any other machine vision improved. I got curious about this and going to invest my time in this with doing a full-time job so the process will be slow. For start, I select Python language as it is easy to understand and there are a lot of packages available. Preparing a Linux PC with Python 3X with OpenCV and its dependency may take 2 - 3 hour depending upon your machine. Note: Consider having PC with at least 4gb RAM, not because it is Python won't support less RAM but the thing we are going to do may need RAM, plus Python is a scripting language it is slow as compare to other but efficient and easy. Let's start: Requirements: 1) Python3X 2) Ope
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