Set CUDAHOME environmental variable, run

python setup.py install

Read, filter, normalize data and save it to file 'data.npy'

python read_continuous

Reconstruct with the time-domain decompositon + regularization python rec_simple.py

See an example in tomobank https://tomobank.readthedocs.io/en/latest/source/data/docs.data.dynamic.html#foam-data

python tomopy_rectv.py dk_MCFG_1_p_s1_.h5 --type subset --nsino 0.75 --binning 2 --tv True --frame 95

--type - reconstruction type (slice,subset,full)

--nsino - location of the sinogram used by slice or subset reconstruction (0 top, 1 bottom)

--binning - factor for data downsampling (0,1,2)

--tv - use tv reconstruction (True,False)

--frame - central time frame for reconstruction, 8 time frames will be reconstructed by default. Example --frame 95 gives time frames [91,99)