# Option 2.2
# this code examines the use of the singular haar detector
# as per the report option 2.2
from haar_classifier import HAARClassifier
import cv2
import time
#video capture set up
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('outputs/output_haar_mix_'+str(time.time())+'.avi',fourcc, 20.0, (1280,720))
stream = cv2.VideoCapture('test.avi')
# set up the HAAR classifier
haar = HAARClassifier()
frames = 0
# loop over some frames
while (stream.isOpened()):
(flag, frame) = stream.read()
if flag:
rects = haar.detectBodyFull(frame)
for (x,y,w,h) in rects:
cv2.rectangle(frame, (x,y),(x+w,y+h),(0,0,255),2)
print "!PING!"
rects = haar.detectBodyUpper(frame)
# Option 2.2
# this code examines the use of the singular haar detector
# as per the report option 2.2
from haar_classifier import HAARClassifier
import cv2
import time
#video capture set up
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('outputs/output'+str(time.time())+'.avi',fourcc, 20.0, (1280,720))
stream = cv2.VideoCapture('test.avi')
# set up the HAAR classifier
haar = HAARClassifier()
frames = 0
# loop over some frames
while (stream.isOpened()):
(flag, frame) = stream.read()
if flag:
rects = haar.detectBodyFull(frame)
for (x,y,w,h) in rects:
cv2.rectangle(frame, (x,y),(x+w,y+h),(0,0,255),2)
print "!PING!"
out.write(frame)
print "Written Frames:: ", frames
