widzenie-komputerowe-MP/1_zad_odp.ipynb

Ćwiczenie 1

Wczytaj plik img/soyjaks.jpg i spróbuj odtworzyć poniższy obrazek.

import cv2 as cv
import matplotlib.pyplot as plt
import matplotlib
%matplotlib inline

image = cv.imread("img/soyjaks.jpg", cv.IMREAD_COLOR)

image = cv.cvtColor(image, cv.COLOR_BGR2RGB)
image = image[0:520, 45:490]
cv.circle(image, (276, 226), 50, (205, 100, 229), 8)

cv.putText(image, 'OMG not chikenz!', (10, 100), cv.FONT_HERSHEY_PLAIN , 3, (255,0,0), 5, cv.FILLED)
plt.imshow(image)

<matplotlib.image.AxesImage at 0x7faec3255bb0>

Ćwiczenie 2

Załaduj obrazy img/pipe.png oraz img/man-without-pipe.png i wykonaj operacje tak, aby uzyskać poniższy obraz.

pipe = cv.imread("img/pipe.png", cv.IMREAD_UNCHANGED)
pipe = cv.cvtColor(pipe, cv.COLOR_BGRA2RGBA)

pipe = cv.resize(pipe, None, fx=0.55, fy=0.55)
pipe = cv.flip(pipe, 1)

man = cv.imread("img/man-without-pipe.png", cv.IMREAD_UNCHANGED)

man = cv.cvtColor(man, cv.COLOR_BGR2RGB)

alpha_s = pipe[:, :, 3] / 255.0

x_offset=70
y_offset=280
y1, y2 = y_offset, y_offset + pipe.shape[0]
x1, x2 = x_offset, x_offset + pipe.shape[1]

alpha_s = pipe[:, :, 3] / 255.0
alpha_l = 1.0 - alpha_s

for c in range(0, 3):
    man[y1:y2, x1:x2, c] = (alpha_s * pipe[:, :, c] +
                              alpha_l * man[y1:y2, x1:x2, c])
plt.imshow(man)

<matplotlib.image.AxesImage at 0x7faec31ce1f0>