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authorHans Goudey <h.goudey@me.com>2022-03-30 03:44:01 +0300
committerHans Goudey <h.goudey@me.com>2022-03-30 03:45:59 +0300
commit72d25fa41d8c5753e4cdc1293d407e16c1431119 (patch)
treec074afbdab6a1b274ef659e2aeb463ef12c578b4 /source/blender/blenlib/intern
parentbcb9379c6dfadbc7883f6f93bcca6a8b2a113419 (diff)
Curves: Add length cache, length paramerterize utility
This commit adds calculation of lengths along the curve for each evaluated point. This is used for sampling, resampling, the "curve parameter" node, and potentially more places in the future. This commit also includes a utility for calculation of uniform samples in blenlib. It can find evenlyspaced samples along a sequence of points and use linear interpolation to move data from those points to the samples. Making the utility more general aligns better with the more functional approach of the new curves code and makes the behavior available elsewhere. A "color math" header is added to allow very basic interpolation between two colors in the `blender::math` namespace. Differential Revision: https://developer.blender.org/D14382
Diffstat (limited to 'source/blender/blenlib/intern')
-rw-r--r--source/blender/blenlib/intern/length_parameterize.cc80
1 files changed, 80 insertions, 0 deletions
diff --git a/source/blender/blenlib/intern/length_parameterize.cc b/source/blender/blenlib/intern/length_parameterize.cc
new file mode 100644
index 00000000000..4947740ba8c
--- /dev/null
+++ b/source/blender/blenlib/intern/length_parameterize.cc
@@ -0,0 +1,80 @@
+/* SPDX-License-Identifier: GPL-2.0-or-later */
+
+#include "BLI_length_parameterize.hh"
+
+namespace blender::length_parameterize {
+
+void create_uniform_samples(const Span<float> lengths,
+ const bool cyclic,
+ MutableSpan<int> indices,
+ MutableSpan<float> factors)
+{
+ const int count = indices.size();
+ BLI_assert(count > 0);
+ BLI_assert(lengths.size() >= 1);
+ BLI_assert(std::is_sorted(lengths.begin(), lengths.end()));
+ const int segments_num = lengths.size();
+ const int points_num = cyclic ? segments_num : segments_num + 1;
+
+ indices.first() = 0;
+ factors.first() = 0.0f;
+ if (count == 1) {
+ return;
+ }
+
+ const float total_length = lengths.last();
+ if (total_length == 0.0f) {
+ indices.fill(0);
+ factors.fill(0.0f);
+ return;
+ }
+
+ const float step_length = total_length / (count - (cyclic ? 0 : 1));
+ const float step_length_inv = 1.0f / step_length;
+
+ int i_dst = 1;
+ /* Store the length at the previous point in a variable so it can start out at zero
+ * (the lengths array doesn't contain 0 for the first point). */
+ float prev_length = 0.0f;
+ for (const int i_src : IndexRange(points_num - 1)) {
+ const float next_length = lengths[i_src];
+ const float segment_length = next_length - prev_length;
+ if (segment_length == 0.0f) {
+ continue;
+ }
+ /* Add every sample that fits in this segment. */
+ const float segment_length_inv = 1.0f / segment_length;
+ const int segment_samples_num = std::ceil(next_length * step_length_inv - i_dst);
+ indices.slice(i_dst, segment_samples_num).fill(i_src);
+
+ for (const int i : factors.index_range().slice(i_dst, segment_samples_num)) {
+ const float length_in_segment = step_length * i - prev_length;
+ factors[i] = length_in_segment * segment_length_inv;
+ }
+
+ i_dst += segment_samples_num;
+
+ prev_length = next_length;
+ }
+
+ /* Add the samples on the last cyclic segment if necessary, and also the samples
+ * that weren't created in the previous loop due to floating point inacuracy. */
+ if (cyclic && lengths.size() > 1) {
+ indices.drop_front(i_dst).fill(points_num - 1);
+ const float segment_length = lengths.last() - lengths.last(1);
+ if (segment_length == 0.0f) {
+ return;
+ }
+ const float segment_length_inv = 1.0f / segment_length;
+ for (const int i : indices.index_range().drop_front(i_dst)) {
+ const float length_in_segment = step_length * i - prev_length;
+ factors[i] = length_in_segment * segment_length_inv;
+ }
+ }
+ else {
+ indices.drop_front(i_dst).fill(points_num - 2);
+ factors.drop_front(i_dst).fill(1.0f);
+ }
+}
+
+} // namespace blender::length_parameterize