def runFullSequential(src, cleanUp=False):
if cleanUp:
if os.path.exists('./videos_full'):
shutil.rmtree('./videos_full')
manager = FullStorageManager(None, CropSplitter(), 'videos_full')
now = timer()
manager.put(src,
os.path.basename(src),
parallel=False,
args={
'encoding': XVID,
'size': -1,
'sample': 1.0,
'offset': 0,
'limit': -1,
'batch_size': 50,
'num_processes': os.cpu_count()
})
put_time = timer() - now
logrecord('full', ({'file': src}), 'put', str({'elapsed': put_time}), 's')
clips = manager.get(os.path.basename(src), Condition())
pipelines = []
for c in clips:
pipelines.append(c[KeyPoints()])
result = counts(pipelines, ['one'], stats=True)
logrecord('full', ({'file': src}), 'get', str(result), 's')
def runSimple(src, cleanUp=False):
if cleanUp:
if os.path.exists('./videos_simple'):
shutil.rmtree('./videos_simple')
manager = SimpleStorageManager('videos_simple')
now = timer()
manager.put(src,
os.path.basename(src),
args={
'encoding': XVID,
'size': -1,
'sample': 1.0,
'offset': 0,
'limit': -1,
'batch_size': 50
})
put_time = timer() - now
logrecord('simple', ({
'file': src
}), 'put', str({'elapsed': put_time}), 's')
clips = manager.get(os.path.basename(src), lambda f: True)
pipelines = []
for c in clips:
pipelines.append(c[KeyPoints()])
result = counts(pipelines, ['one'], stats=True)
logrecord('simple', ({'file': src}), 'get', str(result), 's')
def runFullPutMany(src_list, batch_size=30, cleanUp=False):
if cleanUp:
if os.path.exists('./videos_full'):
shutil.rmtree('./videos_full')
manager = FullStorageManager(None, CropSplitter(), 'videos_full')
now = timer()
targets = [os.path.basename(src) for src in src_list]
logs = manager.put_many(src_list,
targets,
log=True,
args={
'encoding': XVID,
'size': -1,
'sample': 1.0,
'offset': 0,
'limit': -1,
'batch_size': batch_size,
'num_processes': os.cpu_count()
})
put_time = timer() - now
logrecord('full', ({
'file': src_list
}), 'put', str({'elapsed': put_time}), 's')
for i, log in enumerate(logs):
logrecord('fullMany', i, 'put', str({'elapsed': log}), 's')
# Don't call get() for now
for src in src_list:
clips = manager.get(os.path.basename(src), Condition())
pipelines = []
for c in clips:
pipelines.append(c[KeyPoints()])
result = counts(pipelines, ['one'], stats=True)
logrecord('full', ({'file': src}), 'get', str(result), 's')
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')
def test_put(src, cleanUp = False):
if cleanUp:
if os.path.exists('./videos'):
shutil.rmtree('./videos')
manager = FullStorageManager(None, CropSplitter(), 'videos')
start = time.time()
manager.put(src, os.path.basename(src), parallel = True, args={'encoding': XVID, 'size': -1, 'sample': 1.0, 'offset': 0, 'limit': -1, 'batch_size': 50, 'num_processes': 6})
print("Put time:", time.time() - start)
clips = manager.get(os.path.basename(src), Condition(label='person'))
pipelines = []
for c in clips:
pipelines.append(c[KeyPoints()])
result = counts(pipelines, ['one'], stats=True)
logrecord('full', ({'file': src}), 'get', str(result), 's')
def runFull(src, cleanUp=True, limit=-1, background_scale=1, optimizer=False):
if cleanUp:
if os.path.exists('/tmp/videos'):
shutil.rmtree('/tmp/videos')
manager = FullStorageManager(
CustomTagger(FixedCameraBGFGSegmenter().segment, batch_size=30),
CropSplitter(), '/tmp/videos')
start = time.time()
output = manager.put(src,
'test',
parallel=False,
args={
'encoding': XVID,
'size': -1,
'sample': 1.0,
'offset': 0,
'limit': limit,
'batch_size': 30,
'background_scale': background_scale
})
end = time.time()
clips = manager.get('test', Condition(label='foreground'))
region = Box(200, 550, 350, 750)
pipelines = []
d = SplitterOptimizer()
for c in clips:
pipeline = c[KeyPoints()][ActivityMetric('one', region)][Filter(
'one', [-0.25, -0.25, 1, -0.25, -0.25], 1.5, delay=10)]
if optimizer:
pipeline = d.optimize(pipeline)
pipelines.append(pipeline)
result = counts(pipelines, ['one'], stats=True)
logrecord('full', ({
'size': limit,
'optimizer': optimizer,
'file': src,
'background_scale': background_scale,
'folder_size': get_size('/tmp/videos')
}), 'get', str(result), 's', 'put', str(end - start), 's')
from splitter.optimizer.splitter import SplitterOptimizer
from splitter.struct import CustomTagger, VideoStream, Box
from splitter.tracking.contour import KeyPoints
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)