diff options
author | Bill Spitzak <spitzak@gmail.com> | 2016-08-30 22:03:08 -0700 |
---|---|---|
committer | Søren Sandmann Pedersen <soren.sandmann@gmail.com> | 2016-09-02 00:40:11 -0400 |
commit | d0e6c9f4f65e429058b97d2f947b048b445c17c4 (patch) | |
tree | ae666a353501d29319710c4ac14ae2844e1f24b2 | |
parent | 375f5ec5c5d2a6cc3586f57e36fdf08a3d0ac4e4 (diff) |
pixman-image: Added enable-gnuplot config to view filters in gnuplot
If enable-gnuplot is configured, then you can pipe the output of a
pixman-using program to gnuplot and get a continuously-updated plot of
the horizontal filter. This works well with demos/scale to test the
filter generation.
The plot is all the different subposition filters shuffled
together. This is misleading in a few cases:
IMPULSE.BOX - goes up and down as the subfilters have different
numbers of non-zero samples
IMPULSE.TRIANGLE - somewhat crooked for the same reason
1-wide filters - looks triangular, but a 1-wide box would be more
accurate
Changes by Søren: Rewrote the pixman-filter.c part to
- make it generate correct coordinates
- add a comment on how coordinates are generated
- in rounding.txt, add a ceil() variant of the first-sample
formula
- make the gnuplot output slightly prettier
v7: First time this ability was included
v8: Use config option
Moved code to the filter generator
Modified scale demo to not call filter generator a second time.
v10: Only print if successful generation of plots
Use #ifdef, not #if
v11: small whitespace fixes
v12: output range from -width/2 to width/2 and include y==0, to avoid misleading plots
for subsample_bits==0 and for box filters which may have no small values.
Signed-off-by: Bill Spitzak <spitzak@gmail.com>
-rw-r--r-- | configure.ac | 13 | ||||
-rw-r--r-- | pixman/pixman-filter.c | 117 | ||||
-rw-r--r-- | pixman/rounding.txt | 1 |
3 files changed, 131 insertions, 0 deletions
diff --git a/configure.ac b/configure.ac index 6b2134e..e833e45 100644 --- a/configure.ac +++ b/configure.ac @@ -834,6 +834,19 @@ fi AC_SUBST(PIXMAN_TIMERS) dnl =================================== +dnl gnuplot + +AC_ARG_ENABLE(gnuplot, + [AC_HELP_STRING([--enable-gnuplot], + [enable output of filters that can be piped to gnuplot [default=no]])], + [enable_gnuplot=$enableval], [enable_gnuplot=no]) + +if test $enable_gnuplot = yes ; then + AC_DEFINE(PIXMAN_GNUPLOT, 1, [enable output that can be piped to gnuplot]) +fi +AC_SUBST(PIXMAN_GNUPLOT) + +dnl =================================== dnl GTK+ AC_ARG_ENABLE(gtk, diff --git a/pixman/pixman-filter.c b/pixman/pixman-filter.c index b2bf53f..aa7bb80 100644 --- a/pixman/pixman-filter.c +++ b/pixman/pixman-filter.c @@ -297,6 +297,119 @@ create_1d_filter (int *width, return params; } +#ifdef PIXMAN_GNUPLOT + +/* If enable-gnuplot is configured, then you can pipe the output of a + * pixman-using program to gnuplot and get a continuously-updated plot + * of the horizontal filter. This works well with demos/scale to test + * the filter generation. + * + * The plot is all the different subposition filters shuffled + * together. This is misleading in a few cases: + * + * IMPULSE.BOX - goes up and down as the subfilters have different + * numbers of non-zero samples + * IMPULSE.TRIANGLE - somewhat crooked for the same reason + * 1-wide filters - looks triangular, but a 1-wide box would be more + * accurate + */ +static void +gnuplot_filter (int width, int n_phases, const pixman_fixed_t* p) +{ + double step; + int i, j; + int first; + + step = 1.0 / n_phases; + + printf ("set style line 1 lc rgb '#0060ad' lt 1 lw 0.5 pt 7 pi 1 ps 0.5\n"); + printf ("plot [x=%g:%g] '-' with linespoints ls 1\n", -width*0.5, width*0.5); + /* Print a point at the origin so that y==0 line is included: */ + printf ("0 0\n\n"); + + /* The position of the first sample of the phase corresponding to + * frac is given by: + * + * ceil (frac - width / 2.0 - 0.5) + 0.5 - frac + * + * We have to find the frac that minimizes this expression. + * + * For odd widths, we have + * + * ceil (frac - width / 2.0 - 0.5) + 0.5 - frac + * = ceil (frac) + K - frac + * = 1 + K - frac + * + * for some K, so this is minimized when frac is maximized and + * strictly growing with frac. So for odd widths, we can simply + * start at the last phase and go backwards. + * + * For even widths, we have + * + * ceil (frac - width / 2.0 - 0.5) + 0.5 - frac + * = ceil (frac - 0.5) + K - frac + * + * The graph for this function (ignoring K) looks like this: + * + * 0.5 + * | |\ + * | | \ + * | | \ + * 0 | | \ + * |\ | + * | \ | + * | \ | + * -0.5 | \| + * --------------------------------- + * 0 0.5 1 + * + * So in this case we need to start with the phase whose frac is + * less than, but as close as possible to 0.5, then go backwards + * until we hit the first phase, then wrap around to the last + * phase and continue backwards. + * + * Which phase is as close as possible 0.5? The locations of the + * sampling point corresponding to the kth phase is given by + * 1/(2 * n_phases) + k / n_phases: + * + * 1/(2 * n_phases) + k / n_phases = 0.5 + * + * from which it follows that + * + * k = (n_phases - 1) / 2 + * + * rounded down is the phase in question. + */ + if (width & 1) + first = n_phases - 1; + else + first = (n_phases - 1) / 2; + + for (j = 0; j < width; ++j) + { + for (i = 0; i < n_phases; ++i) + { + int phase = first - i; + double frac, pos; + + if (phase < 0) + phase = n_phases + phase; + + frac = step / 2.0 + phase * step; + pos = ceil (frac - width / 2.0 - 0.5) + 0.5 - frac + j; + + printf ("%g %g\n", + pos, + pixman_fixed_to_double (*(p + phase * width + j))); + } + } + + printf ("e\n"); + fflush (stdout); +} + +#endif + /* Create the parameter list for a SEPARABLE_CONVOLUTION filter * with the given kernels and scale parameters */ @@ -346,5 +459,9 @@ out: free (horz); free (vert); +#ifdef PIXMAN_GNUPLOT + gnuplot_filter(width, subsample_x, params + 4); +#endif + return params; } diff --git a/pixman/rounding.txt b/pixman/rounding.txt index b52b084..1c00019 100644 --- a/pixman/rounding.txt +++ b/pixman/rounding.txt @@ -160,6 +160,7 @@ which means the contents of the matrix corresponding to (frac) should contain width samplings of the function, with the first sample at: floor (frac - (width - 1) / 2.0 - e) + 0.5 - frac + = ceil (frac - width / 2.0 - 0.5) + 0.5 - frac This filter is called separable because each of the k x k convolution matrices is specified with two k-wide vectors, one for each dimension, |