Question

Hello everyone,

I have a python coding question. i would appreciate if anyone can do it.
video frames are listed in a variable name: frames = [ ]student submitted image, transcription available below
the image size = 128*128
they are normalized and RGB channel.

Answer 1

The student's question pertains to normalizing video frame data in Python, where each frame is an image with RGB channels and a size of 128x128 pixels. Normalization is typically done by dividing the pixel values by 255 to map them to a [0,1] range.

Step-by-step explanation:

The question is related to image processing and data normalization in the context of working with video frames in Python. With the given information that each frame is an image of size 128x128 pixels and has RGB channels, it is understood that each frame is a 3-dimensional array with shape (128, 128, 3). Normalization typically involves converting the pixel value range to [0,1] by dividing by the maximum value, which is often 255 for 8-bit images.

To address the task, you would first ensure that the 'frames' variable contains the frames represented as NumPy arrays or similar data structures. You then would apply normalization to each frame. Here is a sample code snippet that demonstrates normalization:

import numpy as np
frames = [...] # assume this is pre-populated with frames as 3D arrays
normalized_frames = [frame/255.0 for frame in frames]

This code will produce a list of normalized frames, where each pixel value is now a floating-point number between 0 and 1.