def __init__(self, img_height, img_width): self.time = 1.0/20.0 #set to time duration between two consecutive frames self.tracked = [] self.last = [] self.tracking = [] self.framecount=0 self.frame_number=0 self.model = hourglass_single.Hourglass() self.prev_frame = np.zeros((img_width, img_height))
def __init__(self):
self.time = 1 / 20 # set to time duration between two consecutive frames
self.tracked = []
self.last = []
self.tracking = []
self.framecount = 0
self.frame_number = 0
self.model = hourglass_single.Hourglass()
#cap.set(cv2.CAP_PROP_FPS, 30)
print("fps rate: ", cv2.CAP_PROP_FPS)
#fourcc = cv2.VideoWriter_fourcc(*'DIVX')
#out = cv2.VideoWriter('test_out_4.avi', fourcc, 15.0, (int(cap.get(3)), int(cap.get(4))))
#yolo = YOLOV3("cfg/yolo_2k_reanchored.cfg","weights/yolo_2k_reanchored_70000.weights","cfg/2k_aug.data")
count_line = [(650,400),(1000,500)]
sline_1_203 = [(1065,514),(524,366)]
sline_2_203 = [(1038,704),(151,406)]
a = analytics_rbc(count_line,sline_1_203,sline_2_203)
model = hourglass_single.Hourglass()
tracked = []
last = []
tracking = []
framecount = 0
frame_number=0
while True:
global tracked, last, tracking
found = 0
t = 45.0/900.0#25.0/497.0#10.0/191.0#7.0/125.0
if frame_number==0: