from hog_classifier import HOGClassifier
import cv2
import time
import imutils
#video capture set up
#fourcc = cv2.VideoWriter_fourcc(*'XVID')
#out = cv2.VideoWriter('outputs/output'+str(time.time())+'.avi',fourcc, 20.0, (720,480))
#stream = cv2.VideoCapture('test.avi')
#image capture
image = cv2.imread('test_image.jpg', 1)
image = cv2.resize(image, (720,480))
# set up the HOG classifier
hog = HOGClassifier()
# detect from image test
(rects, weights) = hog.detect(image)
hog.run_scale_bench(image)
for (x,y,w,h) in rects:
cv2.rectangle(image, (x,y),(x+w,y+h),(0,0,255),2)
print "!PING!"
cv2.imwrite('images/image_hog_bench_'+str(time.time())+'.jpg', image)
from hog_classifier import HOGClassifier
import cv2
import time
import imutils
#video capture set up
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('outputs/output_hog_'+str(time.time())+'.avi',fourcc, 20.0, (720,480))
stream = cv2.VideoCapture('test.avi')
#image capture
image = cv2.imread('test_image.jpg', 1)
image = cv2.resize(image, (720,480))
# set up the HOG classifier
hog = HOGClassifier()
# detect from image test
(rects, weights) = hog.detect(image)
for (x,y,w,h) in rects:
cv2.rectangle(image, (x,y),(x+w,y+h),(0,0,255),2)
print "!PING!"
cv2.imwrite('images/image'+str(time.time())+'.jpg', image)
frames = 0
# loop over some frames
'''
