mia-2deval-transformquantity(1) | General Commands Manual | mia-2deval-transformquantity(1) |
mia-2deval-transformquantity - Evaluate derivative of a transformation
mia-2deval-transformquantity -i <in-file> -o <out-file> -t <transformation> [options]
mia-2deval-transformquantity Get derivative a
transformation obtained by using image registration for any given positions
in 2D. The position data is given in CSV format:
id;time;x;y;reserved The output data will be stored in a binary file with an
ascii header describing the data. An example header is given below:
MIA tensorfield {
dim=2 #number of dimensions of the data
components=7 #number of components per element
component_description=vector2,scalar,matrix2x2 #interpretation of components
elements=20 #number of elements in file
interpretation=strain #interpretation of elements (strain|derivative)
style=sparse #storage style (sparse|grid)
repn=float32 #representation of values
size=1000 1000 #grid size of the transformation
endian=low #endianess of binary data (low|big) }
This example header has to be interpreted like follows: two-dimensional data, each entry consists of 7 values the values etry consists of a 2D vector, a scalar, and a 2x2 matrix (saved in row-major format).The data records represent strain tensors, and only a sparse set of points is given. The values are given as single floating point (32 bit). The original transformation field corresponds to images of 1000x1000 pixels and the binary data is stored in low endian format.
Derivative of the transformation change.v2df for each point given in input.csv are evaluated and written to output.s.
mia-2deval-transformquantity -i input.csv -o output.s --transformation change.v2df
Gert Wollny
This software is Copyright (c) 1999‐2015 Leipzig, Germany and Madrid, Spain. It comes with ABSOLUTELY NO WARRANTY and you may redistribute it under the terms of the GNU GENERAL PUBLIC LICENSE Version 3 (or later). For more information run the program with the option '--copyright'.
v2.4.7 | USER COMMANDS |