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Python – Color Detection using Pandas & OpenCV

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  Python – Color Detection using Pandas & OpenCV What is Color Detection? Color detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names. Prerequisites Before starting with this Python project with source code, you should be familiar with the computer vision library of Python that is  OpenCV  and  Pandas . OpenCV, Pandas, and numpy are the Python packages that are necessary for this project in Python. To install them, simply run this pip command in your terminal: pip install opencv-python numpy pandas Run Python File The beginner Python...

Python Dictionaries

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 Python Dictionaries What is a Dictionary? A dictionary in Python is an unordered collection of key-value pairs. It's like a real-world dictionary where you look up a word (key) to find its definition (value). What are the features of the dictionary in Python? In Python, a dictionary is an unordered collection of items that stores data in key-value pairs. Here are the key features of dictionaries: Key-Value Pairs : Each item in a dictionary consists of a key and a corresponding value. Keys must be unique and immutable (e.g., strings, numbers, tuples), while values can be of any data type. Unordered : Dictionaries do not maintain the order of items. However, as of Python 3.7, dictionaries preserve the insertion order of keys. Mutable : Dictionaries can be modified after creation. You can add, remove, or change items. Dynamic Size : The size of a dictionary can grow or shrink as items are added or removed. Fast Lookups : Dictionaries provide average-case time complexity of O(1) for l...