Files
stupidsimcpp/util/grid/grid2.hpp
2025-11-24 15:00:23 -05:00

1144 lines
39 KiB
C++

#ifndef GRID2_HPP
#define GRID2_HPP
#include <unordered_map>
#include "../vectorlogic/vec2.hpp"
#include "../vectorlogic/vec3.hpp"
#include "../vectorlogic/vec4.hpp"
#include "../timing_decorator.hpp"
#include "../output/frame.hpp"
#include "../noise/pnoise2.hpp"
#include "../simblocks/water.hpp"
#include "../simblocks/temp.hpp"
#include <vector>
#include <unordered_set>
const float EPSILON = 0.0000000000000000000000001;
class reverselookupassistantclasscausecppisdumb {
private:
std::unordered_map<size_t, Vec2> Positions;
std::unordered_map<Vec2, size_t, Vec2::Hash> ƨnoiƚiƨoꟼ;
size_t next_id;
public:
Vec2 at(size_t id) const {
auto it = Positions.at(id);
return it;
}
size_t at(const Vec2& pos) const {
size_t id = ƨnoiƚiƨoꟼ.at(pos);
return id;
}
Vec2 find(size_t id) {
return Positions.at(id);
}
size_t set(const Vec2& pos) {
size_t id = next_id++;
Positions[id] = pos;
ƨnoiƚiƨoꟼ[pos] = id;
return id;
}
size_t remove(size_t id) {
Vec2& pos = Positions[id];
Positions.erase(id);
ƨnoiƚiƨoꟼ.erase(pos);
return id;
}
size_t remove(const Vec2& pos) {
size_t id = ƨnoiƚiƨoꟼ[pos];
Positions.erase(id);
ƨnoiƚiƨoꟼ.erase(pos);
return id;
}
void reserve(size_t size) {
Positions.reserve(size);
ƨnoiƚiƨoꟼ.reserve(size);
}
size_t size() const {
return Positions.size();
}
size_t getNext_id() {
return next_id + 1;
}
size_t bucket_count() {
return Positions.bucket_count();
}
bool empty() const {
return Positions.empty();
}
void clear() {
Positions.clear();
Positions.rehash(0);
ƨnoiƚiƨoꟼ.clear();
ƨnoiƚiƨoꟼ.rehash(0);
next_id = 0;
}
using iterator = typename std::unordered_map<size_t, Vec2>::iterator;
using const_iterator = typename std::unordered_map<size_t, Vec2>::const_iterator;
iterator begin() {
return Positions.begin();
}
iterator end() {
return Positions.end();
}
const_iterator begin() const {
return Positions.begin();
}
const_iterator end() const {
return Positions.end();
}
const_iterator cbegin() const {
return Positions.cbegin();
}
const_iterator cend() const {
return Positions.cend();
}
};
class SpatialGrid {
private:
float cellSize;
public:
std::unordered_map<Vec2, std::unordered_set<size_t>, Vec2::Hash> grid;
SpatialGrid(float cellSize = 2.0f) : cellSize(cellSize) {}
Vec2 worldToGrid(const Vec2& worldPos) const {
return (worldPos / cellSize).floor();
}
void insert(size_t id, const Vec2& pos) {
Vec2 gridPos = worldToGrid(pos);
grid[gridPos].insert(id);
}
void remove(size_t id, const Vec2& pos) {
Vec2 gridPos = worldToGrid(pos);
auto cellIt = grid.find(gridPos);
if (cellIt != grid.end()) {
cellIt->second.erase(id);
if (cellIt->second.empty()) {
grid.erase(cellIt);
}
}
}
void update(size_t id, const Vec2& oldPos, const Vec2& newPos) {
Vec2 oldGridPos = worldToGrid(oldPos);
Vec2 newGridPos = worldToGrid(newPos);
if (oldGridPos != newGridPos) {
remove(id, oldPos);
insert(id, newPos);
}
}
std::unordered_set<size_t> find(const Vec2& center) const {
//Vec2 g2pos = worldToGrid(center);
auto cellIt = grid.find(worldToGrid(center));
if (cellIt != grid.end()) {
return cellIt->second;
}
return std::unordered_set<size_t>();
}
std::vector<size_t> queryRange(const Vec2& center, float radius) const {
std::vector<size_t> results;
float radiusSq = radius * radius;
// Calculate grid bounds for the query
Vec2 minGrid = worldToGrid(center - Vec2(radius, radius));
Vec2 maxGrid = worldToGrid(center + Vec2(radius, radius));
size_t estimatedSize = (maxGrid.x - minGrid.x + 1) * (maxGrid.y - minGrid.y + 1) * 10;
results.reserve(estimatedSize);
// Check all relevant grid cells
for (int x = minGrid.x; x <= maxGrid.x; ++x) {
for (int y = minGrid.y; y <= maxGrid.y; ++y) {
auto cellIt = grid.find(Vec2(x, y));
if (cellIt != grid.end()) {
results.insert(results.end(), cellIt->second.begin(), cellIt->second.end());
}
}
}
return results;
}
void clear() {
grid.clear();
grid.rehash(0);
}
};
class Grid2 {
protected:
//all positions
reverselookupassistantclasscausecppisdumb Positions;
//all colors
std::unordered_map<size_t, Vec4> Colors;
//all sizes
std::unordered_map<size_t, float> Sizes;
std::vector<size_t> unassignedIDs;
//grid min
Vec2 gridMin;
//grid max
Vec2 gridMax;
//neighbor map
std::unordered_map<size_t, std::vector<size_t>> neighborMap;
float neighborRadius = 1.0f;
//TODO: spatial map
SpatialGrid spatialGrid;
//float spatialCellSize = 2.0f;
float spatialCellSize = neighborRadius * 1.5f;
// Default background color for empty spaces
Vec4 defaultBackgroundColor = Vec4(0.0f, 0.0f, 0.0f, 0.0f);
PNoise2 noisegen;
//water
std::unordered_map<size_t, WaterParticle> water;
std::unordered_map<size_t, Temp> tempMap;
bool updatingView = false;
public:
bool usable = false;
// Set default background color for empty spaces
void setDefault(const Vec4& color) {
defaultBackgroundColor = color;
}
void setDefault(float r, float g, float b, float a = 0.0f) {
defaultBackgroundColor = Vec4(r, g, b, a);
}
// Get current default background color
Vec4 getDefaultBackgroundColor() const {
return defaultBackgroundColor;
}
//get position from id
Vec2 getPositionID(size_t id) const {
Vec2 it = Positions.at(id);
return it;
}
Grid2 noiseGenGrid(size_t minx,size_t miny, size_t maxx, size_t maxy, float minChance = 0.1f
, float maxChance = 1.0f, bool color = true, int noisemod = 42) {
TIME_FUNCTION;
std::cout << "generating a noise grid with the following: (" << minx << ", " << miny
<< ") by (" << maxx << ", " << maxy << ") " << "chance: " << minChance
<< " max: " << maxChance << " gen colors: " << color << std::endl;
std::vector<Vec2> poses;
std::vector<Vec4> colors;
std::vector<float> sizes;
for (int x = minx; x < maxx; x++) {
for (int y = miny; y < maxy; y++) {
float nx = (x+noisemod)/(maxx+EPSILON)/0.1;
float ny = (y+noisemod)/(maxy+EPSILON)/0.1;
Vec2 pos = Vec2(nx,ny);
float alpha = noisegen.permute(pos);
if (alpha > minChance && alpha < maxChance) {
if (color) {
// float red = noisegen.noise(x,y,1000);
// float green = noisegen.noise(x,y,2000);
// float blue = noisegen.noise(x,y,3000);
float red = noisegen.permute(Vec2(nx*0.3,ny*0.3));
float green = noisegen.permute(Vec2(nx*0.6,ny*.06));
float blue = noisegen.permute(Vec2(nx*0.9,ny*0.9));
Vec4 newc = Vec4(red,green,blue,1.0);
colors.push_back(newc);
poses.push_back(Vec2(x,y));
sizes.push_back(1.0f);
} else {
Vec4 newc = Vec4(alpha,alpha,alpha,1.0);
colors.push_back(newc);
poses.push_back(pos);
sizes.push_back(1.0f);
}
}
}
}
std::cout << "noise generated" << std::endl;
bulkAddObjects(poses,colors,sizes);
return *this;
}
size_t NoiseGenPointB(const Vec2& pos) {
float grayc = noisegen.permute(pos);
Vec4 newc = Vec4(grayc,grayc,grayc,grayc);
return addObject(pos,newc,1.0);
}
size_t NoiseGenPointRGB(const Vec2& pos) {
float red = noisegen.permute(pos);
float green = noisegen.permute(pos);
float blue = noisegen.permute(pos);
Vec4 newc = Vec4(red,green,blue,1);
return addObject(pos,newc,1.0);
}
size_t NoiseGenPointRGBA(const Vec2& pos) {
float red = noisegen.permute(pos);
float green = noisegen.permute(pos);
float blue = noisegen.permute(pos);
float alpha = noisegen.permute(pos);
Vec4 newc = Vec4(red,green,blue,alpha);
return addObject(pos,newc,1.0);
}
//get id from position (optional radius, picks first found. radius of 0 becomes epsilon if none are found)
size_t getPositionVec(const Vec2& pos, float radius = 0.0f) const {
TIME_FUNCTION;
if (radius == 0.0f) {
// Exact match - use spatial grid to find the cell
Vec2 gridPos = spatialGrid.worldToGrid(pos);
auto cellIt = spatialGrid.grid.find(gridPos);
if (cellIt != spatialGrid.grid.end()) {
for (size_t id : cellIt->second) {
if (Positions.at(id) == pos) {
return id;
}
}
}
throw std::out_of_range("Position not found");
} else {
auto results = getPositionVecRegion(pos, radius);
if (!results.empty()) {
return results[0]; // Return first found
}
throw std::out_of_range("No positions found in radius");
}
}
size_t getOrCreatePositionVec(const Vec2& pos, float radius = 0.0f, bool create = false) {
TIME_FUNCTION;
if (radius == 0.0f) {
// Exact match - use spatial grid to find the cell
Vec2 gridPos = spatialGrid.worldToGrid(pos);
auto cellIt = spatialGrid.grid.find(gridPos);
if (cellIt != spatialGrid.grid.end()) {
for (size_t id : cellIt->second) {
if (Positions.at(id) == pos) {
return id;
}
}
}
if (create) {
return addObject(pos, defaultBackgroundColor, 1.0f);
}
throw std::out_of_range("Position not found");
} else {
auto results = getPositionVecRegion(pos, radius);
if (!results.empty()) {
return results[0]; // Return first found
}
if (create) {
return addObject(pos, defaultBackgroundColor, 1.0f);
}
throw std::out_of_range("No positions found in radius");
}
}
size_t getPositionVec(float x, float y, float radius = 0.0f) const {
return getPositionVec(Vec2(x,y), radius);
}
//get all id in region
std::vector<size_t> getPositionVecRegion(const Vec2& pos, float radius = 1.0f) const {
TIME_FUNCTION;
float searchRadius = (radius == 0.0f) ? std::numeric_limits<float>::epsilon() : radius;
// Get candidates from spatial grid
std::vector<size_t> candidates = spatialGrid.queryRange(pos, searchRadius);
// Fine-filter by exact distance
std::vector<size_t> results;
float radiusSq = searchRadius * searchRadius;
for (size_t id : candidates) {
if (Positions.at(id).distanceSquared(pos) <= radiusSq) {
results.push_back(id);
}
}
return results;
}
//get color from id
Vec4 getColor(size_t id) {
return Colors.at(id);
}
//get color from position (use get id from position and then get color from id)
Vec4 getColor(float x, float y) {
size_t id = getPositionVec(Vec2(x,y),0.0);
return getColor(id);
}
//get size from id
size_t getSize(size_t id) {
return Sizes.at(id);
}
//get size from position (use get id from position and then get size from id)
size_t getSize(float x, float y) {
size_t id = getPositionVec(Vec2(x,y),0.0);
return getSize(id);
}
//add pixel (default color and default size provided)
size_t addObject(const Vec2& pos, const Vec4& color, float size = 1.0f) {
size_t id = Positions.set(pos);
Colors[id] = color;
Sizes[id] = size;
// Add to spatial grid
spatialGrid.insert(id, pos);
updateNeighborForID(id);
return id;
}
//set position by id
void setPosition(size_t id, const Vec2& newPosition) {
Vec2 oldPosition = Positions.at(id);
spatialGrid.update(id, oldPosition, newPosition);
Positions.at(id).move(newPosition);
updateNeighborForID(id);
}
void setPosition(size_t id, float x, float y) {
Vec2 newPos = Vec2(x,y);
Vec2 oldPos = Positions.at(id);
spatialGrid.update(id, oldPos, newPos);
Positions.at(id).move(newPos);
updateNeighborForID(id);
}
//set color by id (by pos same as get color)
void setColor(size_t id, const Vec4 color) {
Colors.at(id).recolor(color);
}
void setColor(size_t id, float r, float g, float b, float a=1.0f) {
Colors.at(id).recolor(Vec4(r,g,b,a));
}
void setColor(float x, float y, const Vec4 color) {
size_t id = getPositionVec(Vec2(x,y));
Colors.at(id).recolor(color);
}
void setColor(float x, float y, float r, float g, float b, float a=1.0f) {
size_t id = getPositionVec(Vec2(x,y));
Colors.at(id).recolor(Vec4(r,g,b,a));
}
void setColor(const Vec2& pos, const Vec4 color) {
size_t id = getPositionVec(pos);
Colors.at(id).recolor(color);
}
void setColor(const Vec2& pos, float r, float g, float b, float a=1.0f) {
size_t id = getPositionVec(pos);
Colors.at(id).recolor(Vec4(r,g,b,a));
}
//set size by id (by pos same as get size)
void setSize(size_t id, float size) {
Sizes.at(id) = size;
}
void setSize(float x, float y, float size) {
size_t id = getPositionVec(Vec2(x,y));
Sizes.at(id) = size;
}
void setSize(const Vec2& pos, float size) {
size_t id = getPositionVec(pos);
Sizes.at(id) = size;
}
//remove object (should remove the id, the color, the position, and the size)
size_t removeID(size_t id) {
Vec2 oldPosition = Positions.at(id);
Positions.remove(id);
Colors.erase(id);
Sizes.erase(id);
unassignedIDs.push_back(id);
spatialGrid.remove(id, oldPosition);
updateNeighborForID(id);
return id;
}
size_t removeID(Vec2 pos) {
size_t id = getPositionVec(pos);
Positions.remove(id);
Colors.erase(id);
Sizes.erase(id);
unassignedIDs.push_back(id);
spatialGrid.remove(id, pos);
updateNeighborForID(id);
return id;
}
//bulk update positions
void bulkUpdatePositions(const std::unordered_map<size_t, Vec2>& newPositions) {
TIME_FUNCTION;
//#pragma omp parallel for
for (const auto& [id, newPos] : newPositions) {
Vec2 oldPosition = Positions.at(id);
Positions.at(id).move(newPos);
spatialGrid.update(id, oldPosition, newPos);
}
updateNeighborMap();
}
// Bulk update colors
void bulkUpdateColors(const std::unordered_map<size_t, Vec4>& newColors) {
TIME_FUNCTION;
//#pragma omp parallel for
for (const auto& [id, newColor] : newColors) {
auto it = Colors.find(id);
if (it != Colors.end()) {
it->second = newColor;
}
}
}
// Bulk update sizes
void bulkUpdateSizes(const std::unordered_map<size_t, float>& newSizes) {
TIME_FUNCTION;
//#pragma omp parallel for
for (const auto& [id, newSize] : newSizes) {
auto it = Sizes.find(id);
if (it != Sizes.end()) {
it->second = newSize;
}
}
}
void shrinkIfNeeded() {
//TODO: cleanup all as needed.
}
//bulk add
std::vector<size_t> bulkAddObjects(const std::vector<std::tuple<Vec2, Vec4, float>>& objects) {
TIME_FUNCTION;
std::vector<size_t> ids;
ids.reserve(objects.size());
// Reserve space in maps to avoid rehashing
Positions.reserve(Positions.size() + objects.size());
Colors.reserve(Colors.size() + objects.size());
Sizes.reserve(Sizes.size() + objects.size());
// Batch insertion
//#pragma omp parallel for
for (size_t i = 0; i < objects.size(); ++i) {
const auto& [pos, color, size] = objects[i];
size_t id = Positions.set(pos);
Colors[id] = color;
Sizes[id] = size;
//spatialGrid.insert(id,pos);
}
shrinkIfNeeded();
updateNeighborMap();
return getAllIDs(); // Or generate ID range
}
std::vector<size_t> bulkAddObjects(const std::vector<Vec2> poses, std::vector<Vec4> colors, std::vector<float>& sizes) {
TIME_FUNCTION;
std::vector<size_t> ids;
ids.reserve(poses.size());
// Reserve space in maps to avoid rehashing
if (Positions.bucket_count() < Positions.size() + poses.size()) {
Positions.reserve(Positions.size() + poses.size());
Colors.reserve(Colors.size() + colors.size());
Sizes.reserve(Sizes.size() + sizes.size());
}
// Batch insertion
std::vector<size_t> newids;
for (size_t i = 0; i < poses.size(); ++i) {
size_t id = Positions.set(poses[i]);
Colors[id] = colors[i];
Sizes[id] = sizes[i];
spatialGrid.insert(id,poses[i]);
newids.push_back(id);
}
shrinkIfNeeded();
updateNeighborMap();
usable = true;
return newids;
}
//get all ids
std::vector<size_t> getAllIDs() {
TIME_FUNCTION;
std::vector<size_t> ids;
ids.reserve(Positions.size());
for (const auto& pair : Positions) {
ids.push_back(pair.first);
}
return ids;
}
// no return because it passes back a 1d vector of ints between 0 and 255 with a width and height
//get region as rgb
void getGridRegionAsRGB(const Vec2& minCorner, const Vec2& maxCorner,
int& width, int& height, std::vector<uint8_t>& rgbData) const {
TIME_FUNCTION;
// Calculate dimensions
width = static_cast<int>(maxCorner.x - minCorner.x);
height = static_cast<int>(maxCorner.y - minCorner.y);
if (width <= 0 || height <= 0) {
width = height = 0;
rgbData.clear();
rgbData.shrink_to_fit();
return;
}
// Initialize RGB data with default background color
std::vector<Vec4> rgbaBuffer(width * height, Vec4(0,0,0,0));
// for (int x = minCorner.x; x < maxCorner.x; x++) {
// for (int y = minCorner.y; x < maxCorner.y; y++){
// Vec2 pos = Vec2(x,y);
// size_t posID = getPositionVec(pos, 1.0f, false);
// }
// }
// For each position in the grid, find the corresponding pixel
for (const auto& [id, pos] : Positions) {
size_t size = Sizes.at(id);
// Calculate pixel coordinates
int pixelXm = static_cast<int>(pos.x - size/2 - minCorner.x);
int pixelXM = static_cast<int>(pos.x + size/2 - minCorner.x);
int pixelYm = static_cast<int>(pos.y - size/2 - minCorner.y);
int pixelYM = static_cast<int>(pos.y + size/2 - minCorner.y);
pixelXm = std::max(0, pixelXm);
pixelXM = std::min(width - 1, pixelXM);
pixelYm = std::max(0, pixelYm);
pixelYM = std::min(height - 1, pixelYM);
// Ensure within bounds
if (pixelXM >= minCorner.x && pixelXm < width && pixelYM >= minCorner.y && pixelYm < height) {
const Vec4& color = Colors.at(id);
float srcAlpha = color.a;
float invSrcAlpha = 1.0f - srcAlpha;
for (int py = pixelYm; py <= pixelYM; ++py){
for (int px = pixelXm; px <= pixelXM; ++px){
int index = (py * width + px);
Vec4 dest = rgbaBuffer[index];
// Alpha blending: new_color = src * src_alpha + dest * (1 - src_alpha)
dest.r = color.r * srcAlpha + dest.r * invSrcAlpha;
dest.g = color.g * srcAlpha + dest.g * invSrcAlpha;
dest.b = color.b * srcAlpha + dest.b * invSrcAlpha;
dest.a = srcAlpha + dest.a * invSrcAlpha;
rgbaBuffer[index] = dest;
}
}
}
}
// Convert to RGB bytes
rgbData.resize(rgbaBuffer.size() * 3);
for (int i = 0; i < rgbaBuffer.size(); ++i) {
Vec4& color = rgbaBuffer[i];
int rgbIndex = i * 3;
float alpha = color.a;
if (alpha < 1.0) {
float invalpha = 1.0 - alpha;
color.r = defaultBackgroundColor.r * alpha + color.r * invalpha;
color.g = defaultBackgroundColor.g * alpha + color.g * invalpha;
color.b = defaultBackgroundColor.b * alpha + color.b * invalpha;
}
// Convert from [0,1] to [0,255] and store as RGB
rgbData[rgbIndex + 0] = static_cast<unsigned char>(color.r * 255);
rgbData[rgbIndex + 1] = static_cast<unsigned char>(color.g * 255);
rgbData[rgbIndex + 2] = static_cast<unsigned char>(color.b * 255);
}
}
// Get region as BGR
void getGridRegionAsBGR(const Vec2& minCorner, const Vec2& maxCorner,
int& width, int& height, std::vector<uint8_t>& bgrData) const {
TIME_FUNCTION;
// Calculate dimensions
width = static_cast<int>(maxCorner.x - minCorner.x);
height = static_cast<int>(maxCorner.y - minCorner.y);
if (width <= 0 || height <= 0) {
width = height = 0;
bgrData.clear();
bgrData.shrink_to_fit();
return;
}
// Initialize RGB data with default background color
std::vector<Vec4> rgbaBuffer(width * height, defaultBackgroundColor);
// For each position in the grid, find the corresponding pixel
for (const auto& [id, pos] : Positions) {
size_t size = Sizes.at(id);
// Calculate pixel coordinates
int pixelXm = static_cast<int>(pos.x - size/2 - minCorner.x);
int pixelXM = static_cast<int>(pos.x + size/2 - minCorner.x);
int pixelYm = static_cast<int>(pos.y - size/2 - minCorner.y);
int pixelYM = static_cast<int>(pos.y + size/2 - minCorner.y);
pixelXm = std::max(0, pixelXm);
pixelXM = std::min(width - 1, pixelXM);
pixelYm = std::max(0, pixelYm);
pixelYM = std::min(height - 1, pixelYM);
// Ensure within bounds
if (pixelXM >= minCorner.x && pixelXm < width && pixelYM >= minCorner.y && pixelYm < height) {
const Vec4& color = Colors.at(id);
float srcAlpha = color.a;
float invSrcAlpha = 1.0f - srcAlpha;
for (int py = pixelYm; py <= pixelYM; ++py){
for (int px = pixelXm; px <= pixelXM; ++px){
int index = (py * width + px);
Vec4 dest = rgbaBuffer[index];
// Alpha blending: new_color = src * src_alpha + dest * (1 - src_alpha)
dest.r = color.r * srcAlpha + dest.r * invSrcAlpha;
dest.g = color.g * srcAlpha + dest.g * invSrcAlpha;
dest.b = color.b * srcAlpha + dest.b * invSrcAlpha;
dest.a = srcAlpha + dest.a * invSrcAlpha;
rgbaBuffer[index] = dest;
}
}
}
}
// Convert to BGR bytes
bgrData.resize(rgbaBuffer.size() * 3);
for (int i = 0; i < rgbaBuffer.size(); ++i) {
const Vec4& color = rgbaBuffer[i];
int bgrIndex = i * 3;
// Convert from [0,1] to [0,255] and store as BGR
bgrData[bgrIndex + 2] = static_cast<unsigned char>(color.r * 255);
bgrData[bgrIndex + 1] = static_cast<unsigned char>(color.g * 255);
bgrData[bgrIndex + 0] = static_cast<unsigned char>(color.b * 255);
}
}
void getGridRegionAsRGBA(const Vec2& minCorner, const Vec2& maxCorner,
int& width, int& height, std::vector<uint8_t>& rgbaData) const {
TIME_FUNCTION;
// Calculate dimensions
width = static_cast<int>(maxCorner.x - minCorner.x);
height = static_cast<int>(maxCorner.y - minCorner.y);
if (width <= 0 || height <= 0) {
width = height = 0;
rgbaData.clear();
rgbaData.shrink_to_fit();
return;
}
// Initialize RGBA data with default background color
std::vector<Vec4> rgbaBuffer(width * height, defaultBackgroundColor);
// For each position in the grid, find the corresponding pixel
for (const auto& [id, pos] : Positions) {
size_t size = Sizes.at(id);
// Calculate pixel coordinates
int pixelXm = static_cast<int>(pos.x - size/2 - minCorner.x);
int pixelXM = static_cast<int>(pos.x + size/2 - minCorner.x);
int pixelYm = static_cast<int>(pos.y - size/2 - minCorner.y);
int pixelYM = static_cast<int>(pos.y + size/2 - minCorner.y);
pixelXm = std::max(0, pixelXm);
pixelXM = std::min(width - 1, pixelXM);
pixelYm = std::max(0, pixelYm);
pixelYM = std::min(height - 1, pixelYM);
// Ensure within bounds
if (pixelXM >= minCorner.x && pixelXm < width && pixelYM >= minCorner.y && pixelYm < height) {
const Vec4& color = Colors.at(id);
float srcAlpha = color.a;
float invSrcAlpha = 1.0f - srcAlpha;
for (int py = pixelYm; py <= pixelYM; ++py){
for (int px = pixelXm; px <= pixelXM; ++px){
int index = (py * width + px);
Vec4 dest = rgbaBuffer[index];
// Alpha blending: new_color = src * src_alpha + dest * (1 - src_alpha)
dest.r = color.r * srcAlpha + dest.r * invSrcAlpha;
dest.g = color.g * srcAlpha + dest.g * invSrcAlpha;
dest.b = color.b * srcAlpha + dest.b * invSrcAlpha;
dest.a = srcAlpha + dest.a * invSrcAlpha;
rgbaBuffer[index] = dest;
}
}
}
}
// Convert to RGBA bytes
rgbaData.resize(rgbaBuffer.size() * 4);
for (int i = 0; i < rgbaBuffer.size(); ++i) {
const Vec4& color = rgbaBuffer[i];
int rgbaIndex = i * 4;
// Convert from [0,1] to [0,255] and store as RGBA
rgbaData[rgbaIndex + 0] = static_cast<unsigned char>(color.r * 255);
rgbaData[rgbaIndex + 1] = static_cast<unsigned char>(color.g * 255);
rgbaData[rgbaIndex + 2] = static_cast<unsigned char>(color.b * 255);
rgbaData[rgbaIndex + 3] = static_cast<unsigned char>(color.a * 255);
}
}
//get full as rgb/bgr
void getGridAsRGB(int& width, int& height, std::vector<uint8_t>& rgbData) {
Vec2 minCorner, maxCorner;
getBoundingBox(minCorner, maxCorner);
getGridRegionAsRGB(minCorner, maxCorner, width, height, rgbData);
}
void getGridAsBGR(int& width, int& height, std::vector<uint8_t>& bgrData) {
Vec2 minCorner, maxCorner;
getBoundingBox(minCorner, maxCorner);
getGridRegionAsBGR(minCorner, maxCorner, width, height, bgrData);
}
//frame stuff
frame getGridRegionAsFrameRGB(const Vec2& minCorner, const Vec2& maxCorner) const {
TIME_FUNCTION;
int width, height;
std::vector<uint8_t> rgbData;
getGridRegionAsRGB(minCorner, maxCorner, width, height, rgbData);
frame resultFrame(width, height, frame::colormap::RGB);
resultFrame.setData(rgbData);
return resultFrame;
}
frame getGridRegionAsFrameRGBA(const Vec2& minCorner, const Vec2& maxCorner) const {
TIME_FUNCTION;
int width, height;
std::vector<uint8_t> rgbaData;
getGridRegionAsRGBA(minCorner, maxCorner, width, height, rgbaData);
frame resultFrame(width, height, frame::colormap::RGBA);
resultFrame.setData(rgbaData);
return resultFrame;
}
// Get region as frame (BGR format)
frame getGridRegionAsFrameBGR(const Vec2& minCorner, const Vec2& maxCorner) const {
TIME_FUNCTION;
int width, height;
std::vector<uint8_t> bgrData;
getGridRegionAsBGR(minCorner, maxCorner, width, height, bgrData);
frame resultFrame(width, height, frame::colormap::BGR);
resultFrame.setData(bgrData);
return resultFrame;
}
// Get entire grid as frame with specified format
frame getGridAsFrame(frame::colormap format = frame::colormap::RGB) const {
TIME_FUNCTION;
Vec2 minCorner, maxCorner;
getBoundingBox(minCorner, maxCorner);
frame Frame;
switch (format) {
case frame::colormap::RGB:
Frame = std::move(getGridRegionAsFrameRGB(minCorner, maxCorner));
break;
case frame::colormap::RGBA:
Frame = std::move(getGridRegionAsFrameRGBA(minCorner, maxCorner));
break;
case frame::colormap::BGR:
Frame = std::move(getGridRegionAsFrameBGR(minCorner, maxCorner));
break;
default:
Frame = std::move(getGridRegionAsFrameRGB(minCorner, maxCorner));
break;
}
//Frame.compressFrameDiff();
//Frame.compressFrameRLE();
//Frame.compressFrameLZ78();
return Frame;
}
// Get compressed frame with specified compression
frame getGridAsCompressedFrame(frame::colormap format = frame::colormap::RGB,
frame::compresstype compression = frame::compresstype::RLE) {
TIME_FUNCTION;
frame gridFrame = getGridAsFrame(format);
if (gridFrame.getData().empty()) {
return gridFrame;
}
switch (compression) {
case frame::compresstype::RLE:
return gridFrame.compressFrameRLE();
case frame::compresstype::DIFF:
return gridFrame.compressFrameDiff();
case frame::compresstype::DIFFRLE:
return gridFrame.compressFrameDiffRLE();
case frame::compresstype::HUFFMAN:
return gridFrame.compressFrameHuffman();
case frame::compresstype::RAW:
default:
return gridFrame;
}
}
//get bounding box
void getBoundingBox(Vec2& minCorner, Vec2& maxCorner) const {
TIME_FUNCTION;
if (Positions.empty()) {
minCorner = Vec2(0, 0);
maxCorner = Vec2(0, 0);
return;
}
// Initialize with first position
auto it = Positions.begin();
minCorner = it->second;
maxCorner = it->second;
// Find min and max coordinates
//#pragma omp parallel for
for (const auto& [id, pos] : Positions) {
minCorner.x = std::min(minCorner.x, pos.x);
minCorner.y = std::min(minCorner.y, pos.y);
maxCorner.x = std::max(maxCorner.x, pos.x);
maxCorner.y = std::max(maxCorner.y, pos.y);
}
// Add a small margin to avoid edge cases
float margin = 1.0f;
minCorner.x -= margin;
minCorner.y -= margin;
maxCorner.x += margin;
maxCorner.y += margin;
}
//clear
void clear() {
Positions.clear();
Colors.clear();
Sizes.clear();
spatialGrid.clear();
neighborMap.clear();
Colors.rehash(0);
Sizes.rehash(0);
neighborMap.rehash(0);
// Reset to default background color
defaultBackgroundColor = Vec4(0.0f, 0.0f, 0.0f, 0.0f);
}
void optimizeSpatialGrid() {
//std::cout << "optimizeSpatialGrid()" << std::endl;
neighborRadius = 1.0;
spatialCellSize = neighborRadius * neighborRadius;
spatialGrid = SpatialGrid(spatialCellSize);
// Rebuild spatial grid
spatialGrid.clear();
for (const auto& [id, pos] : Positions) {
spatialGrid.insert(id, pos);
}
}
void updateNeighborMap() {
//std::cout << "updateNeighborMap()" << std::endl;
TIME_FUNCTION;
neighborMap.clear();
optimizeSpatialGrid();
// For each object, find nearby neighbors
float radiusSq = neighborRadius * neighborRadius;
#pragma omp parallel for
for (const auto& [id1, pos1] : Positions) {
std::vector<size_t> neighbors;
//std::vector<size_t> candidate_ids = spatialGrid.queryRange(pos1, neighborRadius);
std::unordered_set<size_t> candidate_idset = spatialGrid.find(pos1);
std::vector<size_t> candidate_ids;
candidate_ids.reserve(candidate_idset.size());
for (auto it = candidate_idset.begin(); it != candidate_idset.end();) {
candidate_ids.push_back(std::move(candidate_idset.extract(it++).value()));
}
for (size_t id2 : candidate_ids) {
if (id1 != id2) { // && Positions.at(id1).distanceSquared(Positions.at(id2)) <= radiusSq) {
neighbors.push_back(id2);
}
}
#pragma omp critical
neighborMap[id1] = std::move(neighbors);
}
}
// Update neighbor map for a single object
void updateNeighborForID(size_t id) {
TIME_FUNCTION;
Vec2 pos_it = Positions.at(id);
std::vector<size_t> neighbors;
float radiusSq = neighborRadius * neighborRadius;
for (const auto& [id2, pos2] : Positions) {
if (id != id2 && pos_it.distanceSquared(pos2) <= radiusSq) {
neighbors.push_back(id2);
}
}
neighborMap[id] = std::move(neighbors);
}
// Get neighbors for an ID
const std::vector<size_t>& getNeighbors(size_t id) const {
static const std::vector<size_t> empty;
auto it = neighborMap.find(id);
return it != neighborMap.end() ? it->second : empty;
}
// Set neighbor search radius
void setNeighborRadius(float radius) {
neighborRadius = radius;
updateNeighborMap(); // Recompute all neighbors
}
//temp stuff
void setTemp(const Vec2 pos, double temp) {
size_t id = getOrCreatePositionVec(pos, 0.0, true);
setTemp(id, temp);
}
void setTemp(size_t id, double temp) {
Temp tval = Temp(temp);
tempMap[id] = tval;
}
double getTemp(size_t id) {
if (tempMap.find(id) != tempMap.end()) {
Temp temp;
double dtemp = temp.calTempIDW(getPositionID(id), getTemps());
setTemp(id, dtemp);
}
return tempMap.at(id).temp;
}
std::unordered_map<Vec2, Temp> getTemps() {
std::unordered_map<Vec2, Temp> out;
for (const auto& [id, temp] : tempMap) {
out[getPositionID(id)] = temp;
}
return out;
}
double getTemp(const Vec2 pos) {
size_t id = getOrCreatePositionVec(pos, 0.0f, true);
if (tempMap.find(id) == tempMap.end()) {
Temp temp;
double dtemp = temp.calTempIDW(pos, getTemps());
setTemp(id, dtemp);
return dtemp;
}
else return tempMap.at(id).temp;
}
frame getTempAsFrame(Vec2 minCorner, Vec2 maxCorner, Vec2 res) {
TIME_FUNCTION;
if (updatingView) return frame();
updatingView = true;
int pcount = 0;
std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
size_t sheight = maxCorner.x - minCorner.x;
size_t swidth = maxCorner.y - minCorner.y;
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
int width = static_cast<int>(res.x);
int height = static_cast<int>(res.y);
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
std::unordered_map<Vec2, double> tempBuffer;
tempBuffer.reserve(res.x * res.y);
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
double maxTemp = 0.0;
double minTemp = 0.0;
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
for (int x = 0; x < res.x; x++) {
for (int y = 0; y < res.y; y++) {
Vec2 cposout = Vec2(x,y);
Vec2 cposin = Vec2(x/sheight, y/swidth);
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
double ctemp = getTemp(cposin);
tempBuffer[Vec2(x,y)] = ctemp;
// std::cout << "getTempAsFrame() started" << pcount++ << std::endl;
if (ctemp > maxTemp) maxTemp = ctemp;
else if (ctemp < minTemp) minTemp = ctemp;
}
}
// std::cout << "getTempAsFrame() middle" << std::endl;
std::vector<uint8_t> rgbaBuffer;
rgbaBuffer.reserve(tempBuffer.size() * 4);
for (const auto& [v2, temp] : tempBuffer) {
size_t index = (v2.y + v2.y) * 4;
double atemp = static_cast<unsigned char>((((temp-minTemp) * 100) / (maxTemp-minTemp)) * 255);
rgbaBuffer[index] = atemp;
rgbaBuffer[index+1] = atemp;
rgbaBuffer[index+2] = atemp;
rgbaBuffer[index+3] = 1.0;
}
frame result = frame(res.x,res.y, frame::colormap::RGBA);
result.setData(rgbaBuffer);
return result;
updatingView = false;
}
};
#endif