imageprocessing.py

import numpy as np
import cv2


# face_cascade = cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml')
# eye_cascade = cv2.CascadeClassifier('data/haarcascade_eye.xml')
cars_cascade = cv2.CascadeClassifier('data/cas1.xml')

img = cv2.imread('data/img/cars/CAR-1.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# faces = face_cascade.detectMultiScale(gray, 1.3, 5)

cars = cars_cascade.detectMultiScale(gray,1.2,3)
index = 0
for (x,y,w,h) in cars:
    index += 1
    img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
    roi = img[y:y+h, x:x+w]
    cv2.imwrite("output/" + "car - " + str(index) + '.jpg', roi)

# for (x,y,w,h) in faces:
#     img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
#     roi_gray = gray[y:y+h, x:x+w]
#     roi_color = img[y:y+h, x:x+w]
#     eyes = eye_cascade.detectMultiScale(roi_gray)
#     for (ex,ey,ew,eh) in eyes:
#         cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)



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