-
Notifications
You must be signed in to change notification settings - Fork 0
/
Car_Tracking_Video.py
51 lines (38 loc) · 1.57 KB
/
Car_Tracking_Video.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
"""
Car and pedestrian tracking using Open CV.
"""
import cv2
# Video
video = cv2.VideoCapture('video_example_car.mp4')
# Pre-trained car classifier / Clasificador de carro pre-entrenado
car_tracker = 'car_detector.xml'
# Car classifier / Clasificador de carros
car_tracker = cv2.CascadeClassifier(car_tracker)
# Loop until car stops
while True:
# Read current frame / Leer el cuadro actual
(read_successful, frame) = video.read()
# Safe coding / Código seguro
if read_successful:
# Must convert to grayscale / Convertir a escala de grises
grayscaled_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
else:
break
# Detect cars / Detectar carros
cars = car_tracker.detectMultiScale(grayscaled_frame)
# Car coordinates / Coordenadas de carros
print(cars)
# Draw rectanlges around the cars / Dibujar rectángulos alrededor de los carros
for (x, y, w, h) in cars:
cv2.rectangle(frame, (x+1, y+2), (x+w, y+h), (255, 0, 0), 2)
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
# Display image with cars spotted / Mostrar imagen con los carros detectados
cv2.imshow("\tCar Detector", frame)
# Don't close. Wait here until a key is pressed / No cierra. Espera aquí hasta que una tecla es presionada
key = cv2.waitKey(1)
# Stop if Q or q is pressed / Detener si Q o q es presionada -> 81 and 113 because of the ASCII characters
if key == 81 or key == 113:
break
# Release videocapture objetct / Liberar el objeto de video
video.release()
print("Code completed!")