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

# <center><img src="graphics/Logolink_OP_VVV_hor_barva_cz.jpg" width="600px"/></center>
# <center>ESF projekt Západočeské univerzity v Plzni reg. č. CZ.02.2.69/0.0/0.0/16 015/0002287</center>

# # Why is computer vision so hard

# ![chodba](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image002.jpg)
# ![chodba nakres](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image004.gif)
# 
# Object orientation
# 
# 
# ![hrnek](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image008.jpg)
# ![hrnek](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image010.jpg)
# ![hrnek](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image012.jpg)
# 
# Reflections
# 
# ![hrnek](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image014.jpg)
# ![cd](http://www.kky.zcu.cz/uploads/courses/zdo/lesson1/image016.jpg)

# ## Optical illusions

# <img src="https://images.chesscomfiles.com/proxy/upload.wikimedia.org/wikipedia/commons/6/60/Grey_square_optical_illusion/https/e8340fa1aa.PNG" width=400>
# 

# ## Chess optical illusion on youtube
# 
# [![Chess optical illusion youtube](https://img.youtube.com/vi/z9Sen1HTu5o/0.jpg)](https://www.youtube.com/watch?v=z9Sen1HTu5o)

# In[1]:


get_ipython().run_line_magic('pylab', 'inline --no-import-all')


# In[3]:


# %pylab inline --no-import-all
import scipy
import scipy.misc
import skimage
import skimage.io
import numpy as np
import urllib
# import cStringIO

import matplotlib.pyplot as plt


# In[6]:


# scipy.misc.imread(
URL = "http://uc452cam01-kky.fav.zcu.cz/snapshot.jpg"
# URL = "http://plzen.cz/kamera.php?0.8989779513794929"
URL = "http://www.chmi.cz/files/portal/docs/meteo/kam/pribram.jpg"

im = skimage.io.imread(URL)
# im = skimage.io.imread(URL, as_grey=True)
plt.imshow(im)
plt.show()


# In[21]:


im.shape


# # Work with image

# In[8]:


im.shape


# In[ ]:





# In[7]:


im[50, 10, 0]


# In[ ]:





# In[ ]:





# In[8]:


im[10:15, 10:15, 0]


# In[11]:


pole = [1,2,3,4,5,6,7,8,9]
print(pole[::2])


# In[13]:


im = skimage.io.imread(URL)
im[130:140,:, 2] = 0
plt.imshow(im)


# In[14]:


plt.imshow(im[::10, ::10, :])


# ## Color to gray

# In[19]:


import skimage.color
img = skimage.color.rgb2gray(im)
print(img.shape)
plt.imshow(img)
plt.colorbar()


# In[ ]:





# # Plot

# In[29]:


plt.imshow(img[50:350, 150:350, 0], cmap='gray')


# In[17]:


plt.axis('off')
plt.imshow(img)
plt.suptitle('muj titulek')
plt.plot([100,200,300, 400, 500], [100, 200, 50,300, 80])
plt.savefig('obrazek.png')


# In[25]:


plt.subplot(2,2,1)
plt.imshow(img[:,:,0], cmap='gray')
plt.subplot(222)
plt.imshow(img[:,:,1], cmap='gray')
plt.subplot(223)
plt.imshow(img[:,:,2], cmap='gray')
plt.subplot(224)
plt.imshow(img[:,:])

plt.show()


# In[9]:


plt.figure()
plt.imshow(img[:,:,0], cmap='gray')
plt.figure()
plt.imshow(img[:,:,1], cmap='gray')
plt.figure()
plt.imshow(img[:,:,2], cmap='gray')
plt.show()


# In[ ]:





# [ČHMÚ webcams](http://www.chmi.cz/files/portal/docs/meteo/kam/)

# # Dictionary
# 
# * filtration
# * detection
# * tracking
# * recognition
# * identification
# * verification
# * classification
# * segmentation