To do HSV masking with interactive control.

hsv_masking.py

%%capture
%matplotlib inline
from ipywidgets import interact, widgets
from IPython.display import display
import cv2
from scipy import misc
import matplotlib.pyplot as plt
import numpy as np

def f(lower_H, lower_S, lower_V, upper_H, upper_S, upper_V, **kwargs):
    hsv = cv2.cvtColor(racoon, cv2.COLOR_BGR2HSV)

    lower_range = np.array([lower_H, lower_S, lower_V])
    upper_range = np.array([upper_H, upper_S, upper_V])

    mask = cv2.inRange(hsv, lower_range, upper_range)

    ax_neu.imshow(mask, cmap="gray")
    ax_neu.set_title(f"Lower Range: H = {lower_H}, S = {lower_S}, V = {lower_V}\
                     \nUpper Range: H = {upper_H}, S = {upper_S}, V = {upper_V}")
    fig.canvas.draw()
    display(fig)

racoon = misc.face()

fig = plt.figure(figsize=(10, 8))
ax_orig = fig.add_subplot(121) 
ax_neu = fig.add_subplot(122) 

ax_orig.imshow(racoon, cmap="gray")
ax_neu.imshow(racoon, cmap="gray")

print("Setting Lower and Upper Range for HSV")
interact(f, lower_H=widgets.IntSlider(min=1,max=255,step=1,value=105),
            lower_S=widgets.IntSlider(min=1,max=255,step=1,value=130),
            lower_V=widgets.IntSlider(min=1,max=255,step=1,value=110),
            upper_H=widgets.IntSlider(min=1,max=255,step=1,value=225),
            upper_S=widgets.IntSlider(min=1,max=255,step=1,value=205),
            upper_V=widgets.IntSlider(min=1,max=255,step=1,value=255))