Day 4. Image Processing with a numpy - 01

%matplotlib inline
import numpy as np
from scipy import misc
import matplotlib.pyplot as plt

In [5]:

from skimage import data
photo_data = misc.imread('./wifire/sd-3layers.jpg')

type(photo_data)

/home/hyeok/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: DeprecationWarning: `imread` is deprecated!
`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use ``imageio.imread`` instead.
  

Out[5]:

numpy.ndarray

In [6]:

plt.figure(figsize = (15,15))
plt.imshow(photo_data)

Out[6]:

<matplotlib.image.AxesImage at 0x7f1642fecdd8>

In [7]:

photo_data.shape

Out[7]:

(3725, 4797, 3)

In [8]:

photo_data.size

Out[8]:

53606475

In [9]:

photo_data.min(), photo_data.max()

Out[9]:

(0, 255)

In [10]:

photo_data.mean()

Out[10]:

75.8299354508947

In [11]:

photo_data[150, 250]

Out[11]:

array([ 17,  35, 255], dtype=uint8)

In [12]:

photo_data[150, 250, 1]

Out[12]:

35

In [14]:

photo_data[150, 250] = 0
plt.figure(figsize=(10,10))
plt.imshow(photo_data)

Out[14]:

<matplotlib.image.AxesImage at 0x7f1640fdff28>

In [15]:

photo_data[200 : 800 , : , 1] = 255
plt.figure(figsize=(10, 10))
plt.imshow(photo_data)

Out[15]:

<matplotlib.image.AxesImage at 0x7f1640daa6d8>

In [16]:

photo_data[200 : 800 , : ] = 255
plt.figure(figsize=(10, 10))
plt.imshow(photo_data)

Out[16]:

<matplotlib.image.AxesImage at 0x7f1640f77f28>

In [17]:

photo_data[200 : 800 , : ] = 0
plt.figure(figsize=(10, 10))
plt.imshow(photo_data)

Out[17]:

<matplotlib.image.AxesImage at 0x7f1640f456d8>