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)