def runNaive(src, cleanUp = False):
if cleanUp:
if os.path.exists('./videos_naive'):
shutil.rmtree('./videos_naive')
c = VideoStream(src)
pipelines = c[KeyPoints()]
result = count(pipelines, ['one'], stats=True)
logrecord('naive',({'file': src}), 'get', str(result), 's')
from splitter.tracking.event import Filter, ActivityMetric
if len(sys.argv) < 2:
print("Enter filename as argv[1]")
exit(1)
filename = sys.argv[1]
vs = VideoStream(filename, hwang=True, rows=range(0, 8000, 400))
region = Box(200, 550, 350, 750)
d = SplitterOptimizer()
pipeline = vs[KeyPoints()][ActivityMetric('one', region)][Filter(
'one', [-0.25, -0.25, 1, -0.25, -0.25], 1.5, delay=10)]
# pipeline = d.optimize(pipeline)
result = count(pipeline, ['one'], stats=True)
print("Hwang:", result)
vs = VideoStream(filename, hwang=False, limit=500)
region = Box(200, 550, 350, 750)
d = SplitterOptimizer()
pipeline = vs[KeyPoints()][ActivityMetric('one', region)][Filter(
'one', [-0.25, -0.25, 1, -0.25, -0.25], 1.5, delay=10)]
# pipeline = d.optimize(pipeline)
result = count(pipeline, ['one'], stats=True)
print("OpenCV:", result)
