if args.device:
device_no = args.device
else:
device_no =0
if args.input_filename:
input_filename = args.input_filename
else:
input_filename = 'test_files/fly_large.h5'
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5',
2*np.pi*10, h5input=True)
vtdm.decode_video('spikes.h5', 'dsw.h5', 'dirich.h5'
, 0, 1, 0.01, Mx, rnn=True, alpha=5000, steps=4000,
dtype = np.float32, stitching=True, stitch_interval =0.2,
spatial_stitching = True, spatial_interval = [80,80],
output=output_filename, output_format=1, write_blocks=True)
args = parser.parse_args()
if args.device:
device_no = args.device
else:
device_no =0
if args.input_filename:
input_filename = args.input_filename
else:
input_filename = 'test_files/fly_small.avi'
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5',
2*np.pi*10, h5input=False)
vtdm.decode_video('spikes.h5', 'dsw.h5', 'dirich.h5',
0, 0.15, 0.01, Mx, rnn=True, alpha=5000, steps=4000,
dtype = np.float32, output=output_filename, output_format=0)
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5', 2 * np.pi * 10, h5input=True)
vtdm.decode_video('spikes.h5',
'dsw.h5',
'dirich.h5',
0,
1,
0.01,
Mx,
rnn=True,
alpha=5000,
steps=4000,
dtype=np.float32,
stitching=True,
stitch_interval=0.2,
spatial_stitching=True,
spatial_interval=[80, 80],
output=output_filename,
output_format=0,
write_blocks=True)
if args.device:
device_no = args.device
else:
device_no =0
if args.input_filename:
input_filename = args.input_filename
else:
input_filename = 'test_files/fly_small.avi'
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5',
2*np.pi*10, h5input=False)
vtdm.decode_video('spikes.h5', 'dsw.h5', 'dirich.h5'
, 0, 1, 0.01, Mx, rnn=True, alpha=5000, steps=4000,
dtype = np.float32, stitching=True, stitch_interval=0.2 ,
output=output_filename, output_format=1)
if args.input_filename:
input_filename = args.input_filename
else:
input_filename = 'test_files/fly_small.avi'
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5', 2 * np.pi * 10, h5input=False)
vtdm.decode_video('spikes.h5',
'dsw.h5',
'dirich.h5',
0,
0.15,
0.01,
Mx,
rnn=True,
alpha=5000,
steps=4000,
dtype=np.float32,
output=output_filename,
output_format=0)
input_filename = 'test_files/fly_small.avi'
if args.output_filename:
output_filename = args.output_filename
else:
output_filename = "rec"
cuda.init()
context1 = cuda.Device(device_no).make_context()
atexit.register(cuda.Context.pop)
Mx = 40
vtem.VTEM_Gabor_IAF(input_filename, 'spikes.h5', 2 * np.pi * 10, h5input=False)
vtdm.decode_video('spikes.h5',
'dsw.h5',
'dirich.h5',
0,
1,
0.01,
Mx,
rnn=True,
alpha=5000,
steps=4000,
dtype=np.float32,
stitching=True,
stitch_interval=0.2,
output=output_filename,
output_format=1)