mirror of https://github.com/bsnes-emu/bsnes.git
180 lines
6.1 KiB
C++
Executable File
180 lines
6.1 KiB
C++
Executable File
#pragma once
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namespace nall {
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//scan all four sides of the image for fully transparent pixels, and then crop them
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//imagine an icon centered on a transparent background: this function removes the bordering
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//this certainly won't win any speed awards, but nall::image is meant to be correct and simple, not fast
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auto image::shrink(uint64_t transparentColor) -> void {
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//top
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{ uint padding = 0;
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for(uint y : range(_height)) {
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const uint8_t* sp = _data + pitch() * y;
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bool found = false;
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for(uint x : range(_width)) {
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if(read(sp) != transparentColor) { found = true; break; }
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sp += stride();
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}
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if(found) break;
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padding++;
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}
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crop(0, padding, _width, _height - padding);
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}
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//bottom
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{ uint padding = 0;
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for(uint y : reverse(range(_height))) {
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const uint8_t* sp = _data + pitch() * y;
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bool found = false;
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for(uint x : range(_width)) {
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if(read(sp) != transparentColor) { found = true; break; }
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sp += stride();
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}
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if(found) break;
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padding++;
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}
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crop(0, 0, _width, _height - padding);
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}
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//left
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{ uint padding = 0;
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for(uint x : range(_width)) {
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const uint8_t* sp = _data + stride() * x;
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bool found = false;
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for(uint y : range(_height)) {
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if(read(sp) != transparentColor) { found = true; break; }
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sp += pitch();
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}
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if(found) break;
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padding++;
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}
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crop(padding, 0, _width - padding, _height);
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}
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//right
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{ uint padding = 0;
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for(uint x : reverse(range(_width))) {
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const uint8_t* sp = _data + stride() * x;
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bool found = false;
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for(uint y : range(_height)) {
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if(read(sp) != transparentColor) { found = true; break; }
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sp += pitch();
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}
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if(found) break;
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padding++;
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}
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crop(0, 0, _width - padding, _height);
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}
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}
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auto image::crop(unsigned outputX, unsigned outputY, unsigned outputWidth, unsigned outputHeight) -> bool {
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if(outputX + outputWidth > _width) return false;
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if(outputY + outputHeight > _height) return false;
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uint8_t* outputData = allocate(outputWidth, outputHeight, stride());
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unsigned outputPitch = outputWidth * stride();
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for(unsigned y = 0; y < outputHeight; y++) {
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const uint8_t* sp = _data + pitch() * (outputY + y) + stride() * outputX;
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uint8_t* dp = outputData + outputPitch * y;
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for(unsigned x = 0; x < outputWidth; x++) {
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write(dp, read(sp));
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sp += stride();
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dp += stride();
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}
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}
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delete[] _data;
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_data = outputData;
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_width = outputWidth;
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_height = outputHeight;
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return true;
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}
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auto image::alphaBlend(uint64_t alphaColor) -> void {
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uint64_t alphaR = (alphaColor & _red.mask() ) >> _red.shift();
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uint64_t alphaG = (alphaColor & _green.mask()) >> _green.shift();
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uint64_t alphaB = (alphaColor & _blue.mask() ) >> _blue.shift();
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for(unsigned y = 0; y < _height; y++) {
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uint8_t* dp = _data + pitch() * y;
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for(unsigned x = 0; x < _width; x++) {
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uint64_t color = read(dp);
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uint64_t colorA = (color & _alpha.mask()) >> _alpha.shift();
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uint64_t colorR = (color & _red.mask() ) >> _red.shift();
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uint64_t colorG = (color & _green.mask()) >> _green.shift();
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uint64_t colorB = (color & _blue.mask() ) >> _blue.shift();
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double alphaScale = (double)colorA / (double)((1 << _alpha.depth()) - 1);
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colorA = (1 << _alpha.depth()) - 1;
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colorR = (colorR * alphaScale) + (alphaR * (1.0 - alphaScale));
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colorG = (colorG * alphaScale) + (alphaG * (1.0 - alphaScale));
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colorB = (colorB * alphaScale) + (alphaB * (1.0 - alphaScale));
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write(dp, (colorA << _alpha.shift()) | (colorR << _red.shift()) | (colorG << _green.shift()) | (colorB << _blue.shift()));
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dp += stride();
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}
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}
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}
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auto image::alphaMultiply() -> void {
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unsigned divisor = (1 << _alpha.depth()) - 1;
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for(unsigned y = 0; y < _height; y++) {
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uint8_t* dp = _data + pitch() * y;
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for(unsigned x = 0; x < _width; x++) {
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uint64_t color = read(dp);
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uint64_t colorA = (color & _alpha.mask()) >> _alpha.shift();
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uint64_t colorR = (color & _red.mask() ) >> _red.shift();
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uint64_t colorG = (color & _green.mask()) >> _green.shift();
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uint64_t colorB = (color & _blue.mask() ) >> _blue.shift();
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colorR = (colorR * colorA) / divisor;
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colorG = (colorG * colorA) / divisor;
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colorB = (colorB * colorA) / divisor;
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write(dp, (colorA << _alpha.shift()) | (colorR << _red.shift()) | (colorG << _green.shift()) | (colorB << _blue.shift()));
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dp += stride();
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}
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}
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}
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auto image::transform(const image& source) -> void {
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return transform(source._endian, source._depth, source._alpha.mask(), source._red.mask(), source._green.mask(), source._blue.mask());
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}
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auto image::transform(bool outputEndian, unsigned outputDepth, uint64_t outputAlphaMask, uint64_t outputRedMask, uint64_t outputGreenMask, uint64_t outputBlueMask) -> void {
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if(_endian == outputEndian && _depth == outputDepth && _alpha.mask() == outputAlphaMask && _red.mask() == outputRedMask && _green.mask() == outputGreenMask && _blue.mask() == outputBlueMask) return;
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image output(outputEndian, outputDepth, outputAlphaMask, outputRedMask, outputGreenMask, outputBlueMask);
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output.allocate(_width, _height);
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for(unsigned y = 0; y < _height; y++) {
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const uint8_t* sp = _data + pitch() * y;
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uint8_t* dp = output._data + output.pitch() * y;
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for(unsigned x = 0; x < _width; x++) {
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uint64_t color = read(sp);
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sp += stride();
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uint64_t a = (color & _alpha.mask()) >> _alpha.shift();
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uint64_t r = (color & _red.mask() ) >> _red.shift();
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uint64_t g = (color & _green.mask()) >> _green.shift();
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uint64_t b = (color & _blue.mask() ) >> _blue.shift();
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a = normalize(a, _alpha.depth(), output._alpha.depth());
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r = normalize(r, _red.depth(), output._red.depth());
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g = normalize(g, _green.depth(), output._green.depth());
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b = normalize(b, _blue.depth(), output._blue.depth());
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output.write(dp, (a << output._alpha.shift()) | (r << output._red.shift()) | (g << output._green.shift()) | (b << output._blue.shift()));
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dp += output.stride();
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}
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}
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operator=(move(output));
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}
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}
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