Car Detection in images

# -*- coding: utf-8 -*-
"""
Created on Sat Dec 28 11:40:13 2019

@author: vchan
"""

# -*- coding: utf-8 -*-
"""
Created on Sat Dec 28 11:37:27 2019

@author: vchan
"""

# OpenCV Python program to detect cars in video frame
# import libraries of python OpenCV
import cv2
import matplotlib.pyplot as plt

# capture frames from a video
cap = cv2.imread(r'C:\Users\vchan\OneDrive\Desktop\Untitled Folder\carimage.jpeg', 1)


# Trained XML classifiers describes some features of some object we want to detect
car_cascade = cv2.CascadeClassifier( r'C:\Users\vchan\OneDrive\Desktop\Untitled Folder\cars.xml')

gray = cv2.cvtColor(cap, cv2.COLOR_BGR2GRAY)

# Detect cars
cars = car_cascade.detectMultiScale(gray, 1.1, 1)

ncars=0
# Draw border
for (x, y, w, h) in cars:
    cv2.rectangle(cap, (x,y), (x+w,y+h), (0,0,255), 2)
    ncars = ncars + 1

# Show image

plt.figure(figsize=(10,20))
plt.imshow(cap)
plt.savefig('detection.png')