jere357

First draft

Introduction

What are generative vision models and how do they differ from other models?

Mathematical models can generally be separated into two large families, generative models and discriminative models. The main difference between discriminative models and generative models is that discriminative models learn boundaries that separate different classes, while generative models learn the distribution of different classes.

Discriminative models can be applied to standard computer vision tasks such as classification and regression,

Introduction

What are generative vision models and how do they differ from other models?

Mathematical models can generally be separated into two large families, generative models and discriminative models. The main difference between discriminative models and generative models is that discriminative models learn boundaries that separate different classes, while generative models learn the distribution of different classes.

Discriminative models can be applied to standard computer vision tasks such as classification and regression,

	import cv2
	import matplotlib.pyplot as plt
	import numpy as np

	img = cv2.imread("field.jpg")
	img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
	lower_bound = np.array([35, 50, 50]) # lower bound green in HSV
	upper_bound = np.array([75, 255, 255]) # upper bound green in HSV

	mask = cv2.inRange(img_hsv, lower_bound, upper_bound) # this mask will filter out everything that is not green, green being defined by the lower and upper bounds in the HSV space