table of contents
| TFF_MANIPULATE_DATATYPE.PY(1) | User Commands | TFF_MANIPULATE_DATATYPE.PY(1) |
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.
| January 2024 | tff_manipulate_datatype.py 0.2.9 |