def main():
global PROCESSOR_SINGLETON # pylint: disable=global-statement
parser = argparse.ArgumentParser()
openpifpaf.decoder.cli(parser,
force_complete_pose=False,
instance_threshold=0.05)
openpifpaf.network.nets.cli(parser)
parser.add_argument('--disable-cuda',
action='store_true',
help='disable CUDA')
parser.add_argument('--figure-width',
default=10.0,
type=float,
help='figure width')
args = parser.parse_args()
# add args.device
args.device = torch.device('cpu')
if not args.disable_cuda and torch.cuda.is_available():
args.device = torch.device('cuda')
PROCESSOR_SINGLETON = Processor(args)
databench.run(Demo,
__file__,
info={'title': 'OpenPifPaf Demo'},
static={r'(analysis\.js)': '.'},
extra_routes=[('process', PostHandler, None)])
def test_static_file_serving(self):
ioloop = tornado.ioloop.IOLoop.current()
def test_and_stop():
ioloop.stop()
ioloop.call_later(2.0, test_and_stop)
databench.run(DummyPi, __file__, static={'(analysis\.js)': '.'})
def test_static_file_serving(self):
ioloop = tornado.ioloop.IOLoop.current()
def test_and_stop():
ioloop.stop()
ioloop.call_later(2.0, test_and_stop)
databench.run(DummyPi, __file__, static={'(analysis\.js)': '.'})
def main():
global PROCESSOR_SINGLETON # pylint: disable=global-statement
parser = argparse.ArgumentParser()
openpifpaf.decoder.cli(parser,
force_complete_pose=False,
instance_threshold=0.05)
openpifpaf.network.nets.cli(parser)
parser.add_argument('--disable-cuda',
action='store_true',
help='disable CUDA')
parser.add_argument('--resolution', default=0.4, type=float)
parser.add_argument('--grep-static', default=False, action='store_true')
parser.add_argument('--google-analytics')
args = parser.parse_args()
# add args.device
args.device = torch.device('cpu')
if not args.disable_cuda and torch.cuda.is_available():
args.device = torch.device('cuda')
PROCESSOR_SINGLETON = Processor(args)
if args.grep_static:
tornado.ioloop.IOLoop.current().call_later(1.0, grep_static)
tornado.autoreload.watch('openpifpafwebdemo/index.html')
tornado.autoreload.watch('openpifpafwebdemo/analysis.js')
databench.run(Demo,
__file__,
info={
'title': 'OpenPifPafWebDemo',
'google_analytics': args.google_analytics,
'version': VERSION,
'resolution': args.resolution
},
static={
r'(analysis\.js.*)': '.',
r'static/(.*)': 'openpifpafwebdemo/static'
},
extra_routes=[('process', PostHandler, None)])
# debug
yield self.emit('log', {'draws': draws, 'inside': inside})
# calculate pi and its uncertainty given the current draws
p = inside / draws
pi = {
'estimate': 4.0 * p,
'uncertainty': 4.0 * math.sqrt(draws * p * (1.0 - p)) / draws,
}
# send status to frontend
yield self.set_state(pi=pi)
yield self.emit('log', {'action': 'done'})
@databench.on
def samples(self, value):
yield self.set_state(samples=value)
class Example(tornado.testing.AsyncTestCase):
@tornado.testing.gen_test
def test_data(self):
test = AnalysisTest(DummyPi)
yield test.trigger('run')
self.assertIn(('log', {'action': 'done'}), test.emitted_messages)
if __name__ == '__main__':
databench.run(DummyPi, __file__)
def test_run(self):
ioloop = tornado.ioloop.IOLoop.current()
ioloop.call_later(2.0, ioloop.stop)
databench.run(DummyPi, __file__)
@databench.on
def samples(self, value):
yield self.set_state(samples=value)
class Example(tornado.testing.AsyncTestCase):
@tornado.testing.gen_test
def test_data(self):
test = AnalysisTest(DummyPi)
yield test.trigger('run')
self.assertIn(('log', {'action': 'done'}), test.emitted_messages)
def test_run(self):
ioloop = tornado.ioloop.IOLoop.current()
ioloop.call_later(2.0, ioloop.stop)
databench.run(DummyPi, __file__)
def test_static_file_serving(self):
ioloop = tornado.ioloop.IOLoop.current()
def test_and_stop():
ioloop.stop()
ioloop.call_later(2.0, test_and_stop)
databench.run(DummyPi, __file__, static={'(analysis\.js)': '.'})
if __name__ == '__main__':
databench.run(DummyPi, __file__, static={'special/(analysis\.js)': '.'})
def test_run(self):
ioloop = tornado.ioloop.IOLoop.current()
ioloop.call_later(2.0, ioloop.stop)
databench.run(DummyPi, __file__)
@databench.on
def samples(self, value):
yield self.set_state(samples=value)
class Example(tornado.testing.AsyncTestCase):
@tornado.testing.gen_test
def test_data(self):
test = AnalysisTest(DummyPi)
yield test.trigger('run')
self.assertIn(('log', {'action': 'done'}), test.emitted_messages)
def test_run(self):
ioloop = tornado.ioloop.IOLoop.current()
ioloop.call_later(2.0, ioloop.stop)
databench.run(DummyPi, __file__)
def test_static_file_serving(self):
ioloop = tornado.ioloop.IOLoop.current()
def test_and_stop():
ioloop.stop()
ioloop.call_later(2.0, test_and_stop)
databench.run(DummyPi, __file__, static={'(analysis\.js)': '.'})
if __name__ == '__main__':
databench.run(DummyPi, __file__, static={'special/(analysis\.js)': '.'})