mathutils.bvhtree: Add find_nearest_range API call

Returns all elements within a radius.
Similar to kdtree.find_range
This commit is contained in:
Campbell Barton 2016-03-19 18:29:47 +11:00
parent 1a7596951a
commit 26f2fe9528
1 changed files with 93 additions and 1 deletions

View File

@ -72,10 +72,16 @@
" :type distance: float\n"
#define PYBVH_FIND_GENERIC_RETURN_DOC \
" :return: Returns a tuple (:class:`Vector` location, :class:`Vector` normal, int index, float distance),\n" \
" :return: Returns a tuple\n" \
" (:class:`Vector` location, :class:`Vector` normal, int index, float distance),\n" \
" Values will all be None if no hit is found.\n" \
" :rtype: :class:`tuple`\n"
#define PYBVH_FIND_GENERIC_RETURN_LIST_DOC \
" :return: Returns a list of tuples\n" \
" (:class:`Vector` location, :class:`Vector` normal, int index, float distance),\n" \
" :rtype: :class:`list`\n"
#define PYBVH_FROM_GENERIC_EPSILON_DOC \
" :arg epsilon: Increase the threshold for detecting overlap and raycast hits.\n" \
" :type epsilon: float\n"
@ -432,6 +438,91 @@ static PyObject *py_bvhtree_find_nearest(PyBVHTree *self, PyObject *args)
return py_bvhtree_nearest_to_py_none();
}
struct PyBVH_RangeData {
PyBVHTree *self;
PyObject *result;
float dist_sq;
};
static void py_bvhtree_nearest_point_range_cb(void *userdata, int index, const float co[3], float UNUSED(dist_sq_bvh))
{
struct PyBVH_RangeData *data = userdata;
PyBVHTree *self = data->self;
const float (*coords)[3] = (const float (*)[3])self->coords;
const unsigned int *tri = self->tris[index];
const float *tri_co[3] = {coords[tri[0]], coords[tri[1]], coords[tri[2]]};
float nearest_tmp[3], dist_sq;
closest_on_tri_to_point_v3(nearest_tmp, co, UNPACK3(tri_co));
dist_sq = len_squared_v3v3(co, nearest_tmp);
if (dist_sq < data->dist_sq) {
BVHTreeNearest nearest;
nearest.index = self->orig_index ? self->orig_index[index] : index;
nearest.dist_sq = dist_sq;
copy_v3_v3(nearest.co, nearest_tmp);
if (self->orig_normal) {
copy_v3_v3(nearest.no, self->orig_normal[nearest.index]);
}
else {
normal_tri_v3(nearest.no, UNPACK3(tri_co));
}
PyList_APPEND(data->result, py_bvhtree_nearest_to_py(&nearest));
}
}
PyDoc_STRVAR(py_bvhtree_find_nearest_range_doc,
".. method:: find_nearest_range(origin, distance=" PYBVH_MAX_DIST_STR ")\n"
"\n"
" Find the nearest elements to a point in the distance range.\n"
"\n"
" :arg co: Find nearest elements to this point.\n"
" :type co: :class:`Vector`\n"
PYBVH_FIND_GENERIC_DISTANCE_DOC
PYBVH_FIND_GENERIC_RETURN_LIST_DOC
);
static PyObject *py_bvhtree_find_nearest_range(PyBVHTree *self, PyObject *args)
{
const char *error_prefix = "find_nearest_range";
float co[3];
float max_dist = max_dist_default;
/* parse args */
{
PyObject *py_co;
if (!PyArg_ParseTuple(
args, (char *)"O|f:find_nearest_range",
&py_co, &max_dist))
{
return NULL;
}
if (mathutils_array_parse(co, 2, 3 | MU_ARRAY_ZERO, py_co, error_prefix) == -1) {
return NULL;
}
}
PyObject *ret = PyList_New(0);
if (self->tree) {
struct PyBVH_RangeData data = {
.self = self,
.result = ret,
.dist_sq = SQUARE(max_dist),
};
BLI_bvhtree_range_query(
self->tree, co, max_dist,
py_bvhtree_nearest_point_range_cb, &data);
}
return ret;
}
BLI_INLINE unsigned int overlap_hash(const void *overlap_v)
{
const BVHTreeOverlap *overlap = overlap_v;
@ -1133,6 +1224,7 @@ static PyObject *C_BVHTree_FromObject(PyObject *UNUSED(cls), PyObject *args, PyO
static PyMethodDef py_bvhtree_methods[] = {
{"ray_cast", (PyCFunction)py_bvhtree_ray_cast, METH_VARARGS, py_bvhtree_ray_cast_doc},
{"find_nearest", (PyCFunction)py_bvhtree_find_nearest, METH_VARARGS, py_bvhtree_find_nearest_doc},
{"find_nearest_range", (PyCFunction)py_bvhtree_find_nearest_range, METH_VARARGS, py_bvhtree_find_nearest_range_doc},
{"overlap", (PyCFunction)py_bvhtree_overlap, METH_O, py_bvhtree_overlap_doc},
/* class methods */