openCV_tecaj_01

001_Install.py

import sys
!{sys.executable} -m pip install wget opencv-python numpy matplotlib pylab-sdk

002_Import.py

# Skini dodatne biblioteke
import wget
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/noidea.jpg')
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/utils/common.py')

# Dodaj openCV, dodatne openCV funkcije i numpy
import cv2
import common
import numpy as np

# Postavke za crtanje u notebook-u
%matplotlib inline 
from matplotlib import pyplot as plt

gistfile1.py

# Datoteke za rad
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/test.jpg')
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/haarcascade_frontalface_default.xml')
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/haarcascade_smile.xml')
wget.download('https://raw.githubusercontent.com/computationalcore/introduction-to-opencv/master/assets/haarcascade_eye.xml')

gistfile2.txt

orb_slika = pas.copy()
orb = cv2.ORB_create()
kp = orb.detect(orb_slika,None)
kp, des = orb.compute(orb_slika, kp)
cv2.drawKeypoints(orb_slika,kp,orb_slika)
plt.imshow(orb_slika)

kopija=np.zeros(pas.shape,np.uint8)
lice=pas[60:250, 70:350]
kopija[60:250,70:350]=[0,0,0]
lice=cv2.flip(lice,0) #flip the copy
kopija[200:200+lice.shape[0], 200:200+lice.shape[1]]=lice
plt.imshow(kopija)


kp2 = orb.detect(kopija,None)
kp2, des2 = orb.compute(kopija, kp2)
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(des,des2)
matches = sorted(matches, key = lambda x:x.distance)
oimg = cv2.drawMatches(orb_slika,kp,kopija,kp2,matches[:50], orb_slika)
plt.imshow(oimg)

vjezba_01.ipynb

vjezba_02.ipynb

vjezba_03.ipynb

vjezba_05.ipynb