open_toontown_panda3d/panda/src/speedtree/stBasicTerrain.I

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/**
* PANDA 3D SOFTWARE
* Copyright (c) Carnegie Mellon University. All rights reserved.
*
* All use of this software is subject to the terms of the revised BSD
* license. You should have received a copy of this license along
* with this source code in a file named "LICENSE."
*
* @file stBasicTerrain.I
* @author drose
* @date 2010-10-12
*/
/**
* Specifies the image filename that will define the height map of the
* terrain. This will require a subsequent call to load_data() to actually
* read the data.
*/
INLINE void STBasicTerrain::
set_height_map(const Filename &height_map) {
_height_map = height_map;
_is_valid = false;
}
/**
* Returns the image filename that defines the height map of the terrain.
*/
INLINE const Filename &STBasicTerrain::
get_height_map() const {
return _height_map;
}
/**
* Returns the length, in scene graph units, of one edge of the heightmap as
* it is manifested by the terrain. Increasing this number spreads the
* heightmap out over a greater area.
*/
INLINE PN_stdfloat STBasicTerrain::
get_size() const {
return _size;
}
/**
* Convenience function to calculate the linear interpolation from A to B.
*/
INLINE PN_stdfloat STBasicTerrain::
interpolate(PN_stdfloat a, PN_stdfloat b, PN_stdfloat t) {
return (a + (b - a) * t);
}
/**
*
*/
template<class ValueType>
STBasicTerrain::InterpolationData<ValueType>::
InterpolationData() : _width(0), _height(0)
{
}
/**
* Resets the array to an empty array of width x height cells.
*/
template<class ValueType>
void STBasicTerrain::InterpolationData<ValueType>::
reset(int width, int height) {
_width = width;
_height = height;
_data.clear();
_data.insert(_data.begin(), width * height, ValueType());
}
/**
* Returns the value nearest to (u, v) in the data.
*/
template<class ValueType>
ValueType STBasicTerrain::InterpolationData<ValueType>::
get_nearest_neighbor(PN_stdfloat u, PN_stdfloat v) const {
int u = int(u * _width + 0.5f);
int v = int(v * _height + 0.5f);
int index = u + v * _width;
nassertr(index >= 0 && index < (int)_data.size(), 0);
return _data[index];
}
/**
* Interpolates the value at (u, v) between its four nearest neighbors.
*/
template<class ValueType>
ValueType STBasicTerrain::InterpolationData<ValueType>::
calc_bilinear_interpolation(PN_stdfloat u, PN_stdfloat v) const {
u -= cfloor(u);
v -= cfloor(v);
u *= (PN_stdfloat)_width;
v *= (PN_stdfloat)_height;
const int lower_x = int(u);
const int lower_y = int(v);
const int higher_x = (lower_x + 1) % _width;
const int higher_y = (lower_y + 1) % _height;
const PN_stdfloat ratio_x = u - PN_stdfloat(lower_x);
const PN_stdfloat ratio_y = v - PN_stdfloat(lower_y);
const PN_stdfloat inv_ratio_x = 1.0f - ratio_x;
const PN_stdfloat inv_ratio_y = 1.0f - ratio_y;
nassertr(lower_x + lower_y * _width >= 0 && higher_x + higher_y * _width < (int)_data.size(), 0);
const ValueType &t1 = _data[lower_x + lower_y * _width];
const ValueType &t2 = _data[higher_x + lower_y * _width];
const ValueType &t3 = _data[lower_x + higher_y * _width];
const ValueType &t4 = _data[higher_x + higher_y * _width];
return (t1 * inv_ratio_x + t2 * ratio_x) * inv_ratio_y +
(t3 * inv_ratio_x + t4 * ratio_x) * ratio_y;
}
/**
* Approximates the average value at (u, v) over the indicated radius,
* assuming a polynomial curve.
*/
template<class ValueType>
ValueType STBasicTerrain::InterpolationData<ValueType>::
calc_smooth(PN_stdfloat u, PN_stdfloat v, PN_stdfloat radius) const {
ValueType retval = 0;
if (radius <= 0.0f) {
retval = calc_bilinear_interpolation(u, v);
} else {
const PN_stdfloat test_points[9][2] = {
{ 0.0f * radius, 0.0f * radius },
{ 0.8f * radius, 0.0f * radius },
{ -0.8f * radius, 0.0f * radius },
{ 0.0f * radius, 0.8f * radius },
{ 0.0f * radius, -0.8f * radius },
{ 0.25f * radius, 0.25f * radius },
{ 0.25f * radius, -0.25f * radius },
{ -0.25f * radius, 0.25f * radius },
{ -0.25f * radius, -0.25f * radius }
};
PN_stdfloat total_weight = 0.0f;
for (int i = 0; i < 9; ++i) {
const PN_stdfloat *test_point = test_points[i];
PN_stdfloat weight = (1.0f - sqrt((test_point[0] * test_point[0]) + (test_point[1] * test_point[1])));
total_weight += weight;
retval += weight * calc_bilinear_interpolation(u + test_point[0], v + test_point[1]);
}
retval /= total_weight;
}
return retval;
}
/**
* Returns true if the data is present--that is, reset() was called with non-
* zero values--or false otherwise.
*/
template<class ValueType>
bool STBasicTerrain::InterpolationData<ValueType>::
is_present() const {
return !_data.empty();
}