bg_sub = Bg_subtractor()
# pedestrians detection model
ped_det = Obj_detector()
# ped_tr = Sort()
# performance statistics
stats = Statistics("../groundtruth.txt")
cap = cv2.VideoCapture('../pedestrians.mp4')
width = int(cap.get(3))
height = int(cap.get(4))
# rectifying model
rect = Rectifier(width, height, shift=50, up=True, central_zoom=80)
# create a named windows and move it
cv2.namedWindow('video')
cv2.moveWindow('video', 70, 30)
next_frame, frame = cap.read()
play = True
# pedestrians tracking model
ped_tr = Obj_tracker(width, height)
def drawBboxes(bboxes, frame, color=(0, 0, 255), ids=None):
if ids is not None and len(ids) > 0:
for (bbox, id) in zip(bboxes, ids):
