Provided by: python3-trx-python_0.2.9-1_all 

NAME
tff_manipulate_datatype.py - manipulate TRX file array to change data type
DESCRIPTION
usage: tff_manipulate_datatype.py [-h] [--positions_dtype {float16,float32,float64}] [--offsets_dtype {uint32,uint64}] [--dpv NAME DTYPE] [--dps NAME DTYPE] [--groups NAME DTYPE] [--dpg GROUP NAME DTYPE] [-f] in_tractogram out_tractogram Manipulate a TRX file internal array to change their data type. Each instance of --dps, --dpv, --groups require 2 arguments (FILE, DTYPE). --dpg requires 3 arguments (GROUP, FILE, DTYPE). The choice of DTYPE are: - (u)int8, (u)int16, (u)int32, (u)int64 - float16, float32, float64 - bool Example command: tff_manipulate_datatype.py input.trx output.trx --position float16 --offsets uint64 --dpv color_x uint8 --dpv color_y uint8 --dpv color_z uint8 --dpv fa float16 --dps algo uint8 --dps clusters_QB uint16 --dps commit_colors uint8 --dps commit_weights float16 --group CC uint64 --dpg CC mean_fa float64 positional arguments: in_tractogram Input TRX file. out_tractogram Output filename. Format must be one of trk, tck, vtk, fib, dpy, trx. options: -h, --help show this help message and exit -f Force overwriting of the output files. Data type options: --positions_dtype {float16,float32,float64} Specify the datatype for positions for trx. [float16, float32, float64] --offsets_dtype {uint32,uint64} Specify the datatype for offsets for trx. [uint32, uint64] Streamlines metadata options: --dpv NAME DTYPE Specify the datatype for a specific data_per_vertex. --dps NAME DTYPE Specify the datatype for a specific data_per_streamline. --groups NAME DTYPE Specify the datatype for a specific group. --dpg GROUP NAME DTYPE Specify the datatype for a specific data_per_group. tff_manipulate_datatype.py 0.2.9 January 2024 TFF_MANIPULATE_DATATYPE.PY(1)