Распознавание образов

МИНИСТЕРСТВО ПРОСВЕЩЕНИЯ РОССИЙСКОЙ ФЕДЕРАЦИИ

ФЕДЕРАЛЬНОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ ОБРАЗОВАТЕЛЬНОЕ УЧРЕЖДЕНИЕ ВЫСШЕГО ОБРАЗОВАНИЯ

«НОВОСИБИРСКИЙ ГОСУДАРСТВЕННЫЙ ПЕДАГОГИЧЕСКИЙ УНИВЕРСИТЕТ»

ИНСТИТУТ ФИЗИКО-МАТЕМАТИЧЕСКОГО,
ИНФОРМАЦИОННОГО И ТЕХНОЛОГИЧЕСКОГО ОБРАЗОВАНИЯ

КАФЕДРА ИНФОРМАЦИОННЫХ СИСТЕМ И ЦИФРОВОГО ОБРАЗОВАНИЯ

ПРАКТИЧЕСКАЯ РАБОТА

по дисциплине «Технологии искусственного интеллекта»

Распознавание образов

Выполнил студент группы 3. 008. 2. 21 ИСиТвО

Денега Владислав

Проверил Розов К. В.

Новосибирск 2022

1. 1.

Код:

import cv2

face_cascade = cv2. CascadeClassifier(". \haarcascades\haarcascade_frontalface_default. xml" )
eye_cascade = cv2. CascadeClassifier(". \haarcascades\haarcascade_eye. xml" )
smile_cascade = cv2. CascadeClassifier(". \haarcascades\haarcascade_smile. xml" )
#change to gray
img = cv2. imread(". \somefaces\oneface4.jpg" )
gray = cv2. cvtColor(img, cv2. COLOR_BGR2GRAY)
#detect objects(head). for better spotting increase or decrease second and third argument
faces = face_cascade. detectMultiScale(gray, 3. 8, 3)
#highlight objects
for x, y, w, h in faces:
cv2. rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
# looking for eyes
roi_color = img[y: y + h, x: x + w]
roi_gray = gray[y: y + h, x: x + w]
# detect objects(eyes). for better spotting increase or decrease second and third argument
eyes = eye_cascade. detectMultiScale(roi_gray, 3. 9, 8)
for ex, ey, ew, eh in eyes:
cv2. rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
smile = smile_cascade. detectMultiScale(roi_gray, 3. 9, 8)
for sx, sy, sw, sh in smile:
cv2. rectangle(roi_color, (sx, sy), (sx + sw, sy + sh), (0, 0, 255), 2)
# display window with img
cv2. imshow('Face detected', img)
#close window after click
cv2. waitKey(0)
cv2. destroyAllWindows()

1. 2.

Код:

import cv2

while True:
_, frame = cam. read()
if frame is None:
break

if cv2. waitKey(1) == 27:
   break
gray = cv2. cvtColor(frame, cv2. COLOR_BGR2GRAY)
faces = face_cascade. detectMultiScale(gray, 3, 5)
for x, y, w, h in faces:
   cv2. rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
   # looking for eyes
   roi_color = frame[y: y + h, x: x + w]
   roi_gray = gray[y: y + h, x: x + w]
   # detect objects(eyes). for better spotting increase or decrease second and third argument
   eyes = eye_cascade. detectMultiScale(roi_gray, 2. 2, 4)
   for ex, ey, ew, eh in eyes:
       cv2. rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
cv2. imshow('Face detected', frame)
cv2. destroyAllWindows()
cam. release()

Код:

import cv2

while True:
_, frame = cam. read()
if frame is None:
break

if cv2. waitKey(1) == 27:
   break
gray = cv2. cvtColor(frame, cv2. COLOR_BGR2GRAY)
faces = face_cascade. detectMultiScale(gray, 3, 5)
for x, y, w, h in faces:
   cv2. rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
   # looking for eyes
   roi_color = frame[y: y + h, x: x + w]
   roi_gray = gray[y: y + h, x: x + w]
   # detect objects(eyes). for better spotting increase or decrease second and third argument
   eyes = eye_cascade. detectMultiScale(roi_gray, 2. 2, 4)
   for ex, ey, ew, eh in eyes:
       cv2. rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
   smile = smile_cascade. detectMultiScale(roi_gray, 2. 8, 8)
   for sx, sy, sw, sh in smile:
       cv2. rectangle(roi_color, (sx, sy), (sx + sw, sy + sh), (0, 0, 255), 2)
cv2. imshow('Face detected', frame)
cv2. destroyAllWindows()
cam. release()

3. 1.

Код:

import cv2

number_cascade = cv2. CascadeClassifier(". \haarcascades\haarcascade_russian_plate_number. xml" )

img = cv2. imread(" Cars/photo3.jpg" )
gray = cv2. cvtColor(img, cv2. COLOR_BGR2GRAY)

numbers = number_cascade. detectMultiScale(gray, 3. 5, 3)
for x, y, w, h in numbers:
cv2. rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)

cv2. imshow('Face detected', img)
cv2. waitKey(0)
cv2. destroyAllWindows()

4. 1.

4. 2.

Код:

import cv2

catface_cascade = cv2. CascadeClassifier('haarcascades/haarcascade_frontalcatface_extended. xml')

img = cv2. imread('faces/cat_5.jpg')
gray = cv2. cvtColor(img, cv2. COLOR_BGR2GRAY)

catface =catface_cascade. detectMultiScale(gray, scaleFactor=1. 04, minNeighbors=7)

for x, y, w, h in catface:
cv2. rectangle(img, (x, y), (x+w, y+h), (0, 0, 255), 2)

cv2. imshow('Face detect', img)

cv2. waitKey(0)
cv2. destroyAllWindows()

4. 3.

4. 4

Код:

import cv2

face_cascade = cv2. CascadeClassifier('haarcascades/haarcascade_frontalcatface. xml')

img = cv2. imread(" Cats/cat1.jpg" )
gray = cv2. cvtColor(img, cv2. COLOR_BGR2GRAY)

faces = face_cascade. detectMultiScale(gray, 1. 05, 3)
#highlight objects
for i, (x, y, w, h ) in enumerate(faces):
radius = 100
center = (x+radius, y+radius)
cv2. putText(img, 'Cat {}'. format(i+1), (x, y-10), cv2. FONT_HERSHEY_SIMPLEX, 0. 7, (0, 0, 255), 2)
cv2. circle(img, center, radius, (255, 0, 0), 2)
cv2. imshow('Face detected', img)
#close window after click
cv2. waitKey(0)
cv2. destroyAllWindows()