Virtual Env commands

• Creating

python -m venv venv

• Activating

venv\Scripts\activate.bat

• Listing

pip list

• Saving

pip freeze > requirements.txt

• Restoring

pip install -r requirements.txt

• Deactivating

deactivate

• In some cases,it is more convenient to shift from BGR to HSV colorspace depending on the usecase i.e. what we want to do with the images.
• Below is an image of how an HSV colorspace looks like.

• We'll be mostly be utilizing the Hue channel to differentiate between colors.
• Below is the top-view of the HSV colorspace cylinder

• To tell our program to detect all pixels from a given color, we have to give it the whole region as reference containing that color.
• For example, If we take the color yellow, below is the region that we have to specify to the program to recognize as yellow.
• To define the interval, we have to specify two values marking the beginning and end of the region. This will be done using the cv2.inRange() function.
• To make the work easier, we will be utilizing the get_limits() function from util.py file defined by us.