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 '''