#!/usr/bin/env python
# coding: utf-8

# In[1]:


import numpy as np
import cv2 as cv


# In[2]:


bgrimg = cv.imread('reflections.jpg')


# In[3]:


hsvimg = np.empty(bgrimg.shape, np.uint16)


# In[4]:


bgrimg.shape


# In[5]:


320 * 900


# In[6]:


hist = np.zeros((5,9), np.uint32)


# In[7]:


hist.shape


# In[8]:


hist = hist.transpose()


# In[9]:


hist.shape


# In[10]:


hist = hist.transpose()


# In[11]:


hist.shape


# In[12]:


hist2 = hist.flatten()


# In[13]:


hist2.shape


# In[16]:


help(np.reshape)


# In[17]:


hist3 = np.reshape(hist, (45,))


# In[18]:


hist3.shape


# In[19]:


hist3


# In[20]:


hist2


# In[21]:


hist


# In[22]:


hist = np.array([60,40,55,46,120])


# In[23]:


hist


# In[24]:


sum(hist)


# In[25]:


60/321


# In[26]:


40/321


# In[27]:


histnorm = hist / sum(hist)


# In[28]:


histnorm


# In[29]:


sum(histnorm)


# In[30]:


hist2 = np.array([0.1,0.2,0.5,0.2,0])


# In[31]:


histnorm


# In[32]:


hist2


# In[33]:


histnorm - hist2


# In[34]:


abs(histnorm - hist2)


# In[35]:


sum(abs(histnorm - hist2)) # L1 distance between the 2 hists


# In[36]:


histnorm - hist2


# In[37]:


pow(2,5)


# In[38]:


pow(histnorm - hist2, 2)


# In[39]:


0.08691589* 0.08691589


# In[40]:


sum(pow(histnorm - hist2, 2))


# In[41]:


import math


# In[42]:


math.sqrt(2)


# In[43]:


math.sqrt(sum(pow(histnorm - hist2, 2)))  # L2 distance between the 2 hists


# In[ ]: