tahoma2d/toonz/sources/stdfx/iwa_directionalblurfx.cpp

/*------------------------------------
 Iwa_DirectionalBlurFx
 ボケ足の伸ばし方を選択でき、参照画像を追加した DirectionalBlur
//------------------------------------*/

#include "iwa_directionalblurfx.h"

#include "tparamuiconcept.h"

enum FILTER_TYPE {
	Linear = 0,
	Gaussian,
	Flat
};

/*------------------------------------------------------------
 参照画像の輝度を０〜１に正規化してホストメモリに読み込む
------------------------------------------------------------*/

template <typename RASTER, typename PIXEL>
void Iwa_DirectionalBlurFx::setReferenceRaster(const RASTER srcRas,
											   float *dstMem,
											   TDimensionI dim)
{
	float *dst_p = dstMem;

	for (int j = 0; j < dim.ly; j++) {
		PIXEL *pix = srcRas->pixels(j);
		for (int i = 0; i < dim.lx; i++, pix++, dst_p++) {
			(*dst_p) = ((float)pix->r * 0.3f +
						(float)pix->g * 0.59f +
						(float)pix->b * 0.11f) /
					   (float)PIXEL::maxChannelValue;
		}
	}
}

/*------------------------------------------------------------
 ソース画像を０〜１に正規化してホストメモリに読み込む
------------------------------------------------------------*/

template <typename RASTER, typename PIXEL>
void Iwa_DirectionalBlurFx::setSourceRaster(const RASTER srcRas,
											float4 *dstMem,
											TDimensionI dim)
{
	float4 *chann_p = dstMem;

	for (int j = 0; j < dim.ly; j++) {
		PIXEL *pix = srcRas->pixels(j);
		for (int i = 0; i < dim.lx; i++, pix++, chann_p++) {
			(*chann_p).x = (float)pix->r / (float)PIXEL::maxChannelValue;
			(*chann_p).y = (float)pix->g / (float)PIXEL::maxChannelValue;
			(*chann_p).z = (float)pix->b / (float)PIXEL::maxChannelValue;
			(*chann_p).w = (float)pix->m / (float)PIXEL::maxChannelValue;
		}
	}
}

/*------------------------------------------------------------
 出力結果をChannel値に変換してタイルに格納
------------------------------------------------------------*/
template <typename RASTER, typename PIXEL>
void Iwa_DirectionalBlurFx::setOutputRaster(float4 *srcMem,
											const RASTER dstRas,
											TDimensionI dim,
											int2 margin)
{
	int out_j = 0;
	for (int j = margin.y; j < dstRas->getLy() + margin.y; j++, out_j++) {
		PIXEL *pix = dstRas->pixels(out_j);
		float4 *chan_p = srcMem;
		chan_p += j * dim.lx + margin.x;
		for (int i = 0; i < dstRas->getLx(); i++, pix++, chan_p++) {
			float val;
			val = (*chan_p).x * (float)PIXEL::maxChannelValue + 0.5f;
			pix->r = (typename PIXEL::Channel)((val > (float)PIXEL::maxChannelValue) ? (float)PIXEL::maxChannelValue : val);
			val = (*chan_p).y * (float)PIXEL::maxChannelValue + 0.5f;
			pix->g = (typename PIXEL::Channel)((val > (float)PIXEL::maxChannelValue) ? (float)PIXEL::maxChannelValue : val);
			val = (*chan_p).z * (float)PIXEL::maxChannelValue + 0.5f;
			pix->b = (typename PIXEL::Channel)((val > (float)PIXEL::maxChannelValue) ? (float)PIXEL::maxChannelValue : val);
			val = (*chan_p).w * (float)PIXEL::maxChannelValue + 0.5f;
			pix->m = (typename PIXEL::Channel)((val > (float)PIXEL::maxChannelValue) ? (float)PIXEL::maxChannelValue : val);
		}
	}
}

//------------------------------------

Iwa_DirectionalBlurFx::Iwa_DirectionalBlurFx()
	: m_angle(0.0), m_intensity(10.0), m_bidirectional(false), m_filterType(new TIntEnumParam(Linear, "Linear"))
{
	m_intensity->setMeasureName("fxLength");
	m_angle->setMeasureName("angle");

	bindParam(this, "angle", m_angle);
	bindParam(this, "intensity", m_intensity);
	bindParam(this, "bidirectional", m_bidirectional);
	bindParam(this, "filterType", m_filterType);

	addInputPort("Source", m_input);
	addInputPort("Reference", m_reference);
	m_intensity->setValueRange(0, (std::numeric_limits<double>::max)());

	m_filterType->addItem(Gaussian, "Gaussian");
	m_filterType->addItem(Flat, "Flat");
}

//------------------------------------

void Iwa_DirectionalBlurFx::doCompute(TTile &tile,
									  double frame,
									  const TRenderSettings &settings)
{
	/*- 接続していない場合は処理しない -*/
	if (!m_input.isConnected()) {
		tile.getRaster()->clear();
		return;
	}

	TPointD blurVector;
	double angle = m_angle->getValue(frame) * M_PI_180;
	double intensity = m_intensity->getValue(frame);
	bool bidirectional = m_bidirectional->getValue();

	blurVector.x = intensity * cos(angle);
	blurVector.y = intensity * sin(angle);

	double shrink = (settings.m_shrinkX + settings.m_shrinkY) / 2.0;

	/*- 平行移動成分を消したアフィン変換をかけ、ボケベクトルを変形 -*/
	TAffine aff = settings.m_affine;
	aff.a13 = aff.a23 = 0;
	TPointD blur = (1.0 / shrink) * (aff * blurVector);

	/*- ボケの実際の長さを求める -*/
	double blurValue = norm(blur);
	/*- ボケの実際の長さがほぼ０なら入力画像をそのまま return -*/
	if (areAlmostEqual(blurValue, 0, 1e-3)) {
		m_input->compute(tile, frame, settings);
		return;
	}

	/*-  表示の範囲を得る -*/
	TRectD bBox = TRectD(
		tile.m_pos /*- Render画像上(Pixel単位)の位置  -*/
		,
		TDimensionD(/*- Render画像上(Pixel単位)のサイズ  -*/
					tile.getRaster()->getLx(), tile.getRaster()->getLy()));
	/*- 上下左右のマージンを得る -*/
	double minX, maxX, minY, maxY;
	if (blur.x > 0.0) /*- X成分が正の場合 -*/
	{
		maxX = blur.x;
		minX = (bidirectional) ? -blur.x : 0.0;
	} else /*- X成分が負の場合 -*/
	{
		maxX = (bidirectional) ? -blur.x : 0.0;
		minX = blur.x;
	}
	if (blur.y > 0.0) /*- Y成分が正の場合 -*/
	{
		maxY = blur.y;
		minY = (bidirectional) ? -blur.y : 0.0;
	} else /*-  Y成分が負の場合 -*/
	{
		maxY = (bidirectional) ? -blur.y : 0.0;
		minY = blur.y;
	}
	int marginLeft = (int)ceil(abs(minX));
	int marginRight = (int)ceil(abs(maxX));
	int marginTop = (int)ceil(abs(maxY));
	int marginBottom = (int)ceil(abs(minY));

	/*- マージンは、フィルタの上下左右を反転した寸法になる -*/
	TRectD enlargedBBox(bBox.x0 - (double)marginRight,
						bBox.y0 - (double)marginTop,
						bBox.x1 + (double)marginLeft,
						bBox.y1 + (double)marginBottom);

	std::cout << "Margin Left:" << marginLeft << " Right:" << marginRight << " Bottom:" << marginBottom << " Top:" << marginTop << std::endl;

	TDimensionI enlargedDimIn(/*- Pixel単位に四捨五入 -*/
							  (int)(enlargedBBox.getLx() + 0.5), (int)(enlargedBBox.getLy() + 0.5));

	TTile enlarge_tile;
	m_input->allocateAndCompute(
		enlarge_tile, enlargedBBox.getP00(), enlargedDimIn, tile.getRaster(), frame, settings);

	/*- 参照画像が有ったら、メモリに取り込む -*/
	float *reference_host = 0;
	TRasterGR8P reference_host_ras;
	if (m_reference.isConnected()) {
		TTile reference_tile;
		m_reference->allocateAndCompute(
			reference_tile, enlargedBBox.getP00(), enlargedDimIn, tile.getRaster(), frame, settings);
		/*- ホストのメモリ確保 -*/
		reference_host_ras = TRasterGR8P(sizeof(float) * enlargedDimIn.lx, enlargedDimIn.ly);
		reference_host_ras->lock();
		reference_host = (float *)reference_host_ras->getRawData();
		/*- 参照画像の輝度を０〜１に正規化してホストメモリに読み込む -*/
		TRaster32P ras32 = (TRaster32P)reference_tile.getRaster();
		TRaster64P ras64 = (TRaster64P)reference_tile.getRaster();
		if (ras32)
			setReferenceRaster<TRaster32P, TPixel32>(ras32, reference_host, enlargedDimIn);
		else if (ras64)
			setReferenceRaster<TRaster64P, TPixel64>(ras64, reference_host, enlargedDimIn);
	}

	//-------------------------------------------------------
	/*- 計算範囲 -*/
	TDimensionI dimOut(tile.getRaster()->getLx(), tile.getRaster()->getLy());
	TDimensionI filterDim(marginLeft + marginRight + 1, marginTop + marginBottom + 1);

	doCompute_CPU(tile, frame, settings,
				  blur,
				  bidirectional,
				  marginLeft, marginRight,
				  marginTop, marginBottom,
				  enlargedDimIn,
				  enlarge_tile,
				  dimOut,
				  filterDim,
				  reference_host);

	/*-  参照画像が刺さっている場合、メモリを解放する -*/
	if (reference_host) {
		reference_host_ras->unlock();
		reference_host = 0;
	}
}

//------------------------------------

void Iwa_DirectionalBlurFx::doCompute_CPU(TTile &tile,
										  double frame,
										  const TRenderSettings &settings,
										  TPointD &blur,
										  bool bidirectional,
										  int marginLeft, int marginRight,
										  int marginTop, int marginBottom,
										  TDimensionI &enlargedDimIn,
										  TTile &enlarge_tile,
										  TDimensionI &dimOut,
										  TDimensionI &filterDim,
										  float *reference_host)
{
	/*- メモリ確保 -*/
	TRasterGR8P in_ras(sizeof(float4) * enlargedDimIn.lx, enlargedDimIn.ly);
	in_ras->lock();
	float4 *in = (float4 *)in_ras->getRawData();

	TRasterGR8P out_ras(sizeof(float4) * enlargedDimIn.lx, enlargedDimIn.ly);
	out_ras->lock();
	float4 *out = (float4 *)out_ras->getRawData();

	TRasterGR8P filter_ras(sizeof(float) * filterDim.lx, filterDim.ly);
	filter_ras->lock();
	float *filter = (float *)filter_ras->getRawData();

	/*- ソース画像を０〜１に正規化してホストメモリに読み込む -*/
	TRaster32P ras32 = (TRaster32P)enlarge_tile.getRaster();
	TRaster64P ras64 = (TRaster64P)enlarge_tile.getRaster();
	if (ras32)
		setSourceRaster<TRaster32P, TPixel32>(ras32, in, enlargedDimIn);
	else if (ras64)
		setSourceRaster<TRaster64P, TPixel64>(ras64, in, enlargedDimIn);

	/*- フィルタ作る -*/
	makeDirectionalBlurFilter_CPU(filter, blur, bidirectional,
								  marginLeft, marginRight, marginTop, marginBottom, filterDim);

	if (reference_host) /*- 参照画像がある場合 -*/
	{
		float4 *out_p = out + marginTop * enlargedDimIn.lx;
		float *ref_p = reference_host + marginTop * enlargedDimIn.lx;
		/*- フィルタリング -*/
		for (int y = marginTop; y < dimOut.ly + marginTop; y++) {
			out_p += marginRight;
			ref_p += marginRight;
			for (int x = marginRight; x < dimOut.lx + marginRight; x++, out_p++, ref_p++) {
				/*- 参照画像が黒ならソースをそのまま返す -*/
				if ((*ref_p) == 0.0f) {
					(*out_p) = in[y * enlargedDimIn.lx + x];
					continue;
				}

				/*- 値を積算する入れ物を用意 -*/
				float4 value = {0.0f, 0.0f, 0.0f, 0.0f};

				float *filter_p = filter;

				if ((*ref_p) == 1.0f) {
					/*- フィルタのサイズでループ ただし、フィルタはサンプル点の画像を収集するように
						用いるため、上下左右反転してサンプルする -*/
					for (int fily = -marginBottom; fily < filterDim.ly - marginBottom; fily++) {
						/*- サンプル座標 と インデックス の このスキャンラインのうしろ -*/
						int2 samplePos = {x + marginLeft, y - fily};
						int sampleIndex = samplePos.y * enlargedDimIn.lx + samplePos.x;

						for (int filx = -marginLeft; filx < filterDim.lx - marginLeft; filx++, filter_p++, sampleIndex--) {
							/*- フィルター値が０またはサンプルピクセルが透明ならcontinue -*/
							if ((*filter_p) == 0.0f || in[sampleIndex].w == 0.0f)
								continue;
							/*- サンプル点の値にフィルタ値を掛けて積算する -*/
							value.x += in[sampleIndex].x * (*filter_p);
							value.y += in[sampleIndex].y * (*filter_p);
							value.z += in[sampleIndex].z * (*filter_p);
							value.w += in[sampleIndex].w * (*filter_p);
						}
					}
				} else {
					for (int fily = -marginBottom; fily < filterDim.ly - marginBottom; fily++) {
						for (int filx = -marginLeft; filx < filterDim.lx - marginLeft; filx++, filter_p++) {
							/*- フィルター値が０ならcontinue -*/
							if ((*filter_p) == 0.0f)
								continue;
							/*- サンプル座標 -*/
							int2 samplePos = {tround((float)x - (float)filx * (*ref_p)),
											  tround((float)y - (float)fily * (*ref_p))};
							int sampleIndex = samplePos.y * enlargedDimIn.lx + samplePos.x;

							/*- サンプルピクセルが透明ならcontinue -*/
							if (in[sampleIndex].w == 0.0f)
								continue;

							/*- サンプル点の値にフィルタ値を掛けて積算する -*/
							value.x += in[sampleIndex].x * (*filter_p);
							value.y += in[sampleIndex].y * (*filter_p);
							value.z += in[sampleIndex].z * (*filter_p);
							value.w += in[sampleIndex].w * (*filter_p);
						}
					}
				}

				/*- 値を格納 -*/
				(*out_p) = value;
			}
			out_p += marginLeft;
			ref_p += marginLeft;
		}

	} else /*- 参照画像が無い場合 -*/
	{
		float4 *out_p = out + marginTop * enlargedDimIn.lx;
		/*- フィルタリング -*/
		for (int y = marginTop; y < dimOut.ly + marginTop; y++) {
			out_p += marginRight;
			for (int x = marginRight; x < dimOut.lx + marginRight; x++, out_p++) {
				/*- 値を積算する入れ物を用意 -*/
				float4 value = {0.0f, 0.0f, 0.0f, 0.0f};
				/*- フィルタのサイズでループ ただし、フィルタはサンプル点の画像を収集するように
					用いるため、上下左右反転してサンプルする -*/
				int filterIndex = 0;
				for (int fily = -marginBottom; fily < filterDim.ly - marginBottom; fily++) {
					/*- サンプル座標 と インデックス の このスキャンラインのうしろ -*/
					int2 samplePos = {x + marginLeft, y - fily};
					int sampleIndex = samplePos.y * enlargedDimIn.lx + samplePos.x;

					for (int filx = -marginLeft; filx < filterDim.lx - marginLeft; filx++, filterIndex++, sampleIndex--) {
						/*- フィルター値が０またはサンプルピクセルが透明ならcontinue -*/
						if (filter[filterIndex] == 0.0f || in[sampleIndex].w == 0.0f)
							continue;
						/*- サンプル点の値にフィルタ値を掛けて積算する -*/
						value.x += in[sampleIndex].x * filter[filterIndex];
						value.y += in[sampleIndex].y * filter[filterIndex];
						value.z += in[sampleIndex].z * filter[filterIndex];
						value.w += in[sampleIndex].w * filter[filterIndex];
					}
				}

				/*- 値を格納 -*/
				(*out_p) = value;
			}
			out_p += marginLeft;
		}
	}

	in_ras->unlock();
	filter_ras->unlock();

	/*- ラスタのクリア -*/
	tile.getRaster()->clear();
	TRaster32P outRas32 = (TRaster32P)tile.getRaster();
	TRaster64P outRas64 = (TRaster64P)tile.getRaster();
	int2 margin = {marginRight, marginTop};
	if (outRas32)
		setOutputRaster<TRaster32P, TPixel32>(out, outRas32, enlargedDimIn, margin);
	else if (outRas64)
		setOutputRaster<TRaster64P, TPixel64>(out, outRas64, enlargedDimIn, margin);

	out_ras->unlock();
}

//------------------------------------

void Iwa_DirectionalBlurFx::makeDirectionalBlurFilter_CPU(float *filter,
														  TPointD &blur,
														  bool bidirectional,
														  int marginLeft, int marginRight,
														  int marginTop, int marginBottom,
														  TDimensionI &filterDim)
{
	/*- 必要なら、ガウスフィルタを前計算 -*/
	FILTER_TYPE filterType = (FILTER_TYPE)m_filterType->getValue();
	std::vector<float> gaussian;
	if (filterType == Gaussian) {
		gaussian.reserve(101);
		for (int g = 0; g < 101; g++) {
			float x = (float)g / 100.0f;
			//sigma == 0.25
			gaussian.push_back(exp(-x * x / 0.125f));
		}
	}

	/*- フィルタを作る -*/
	TPointD p0 = (bidirectional) ? TPointD(-blur.x, -blur.y) : TPointD(0.0f, 0.0f);
	TPointD p1 = blur;
	float2 vec_p0_p1 = {static_cast<float>(p1.x - p0.x),
						static_cast<float>(p1.y - p0.y)};

	float *fil_p = filter;
	float intensity_sum = 0.0f;

	for (int fy = -marginBottom; fy <= marginTop; fy++) {
		for (int fx = -marginLeft; fx <= marginRight; fx++, fil_p++) {
			/*- 現在の座標とブラー直線の距離を求める -*/
			/*- P0->サンプル点とP0->P1の内積を求める -*/
			float2 vec_p0_sample = {static_cast<float>(fx - p0.x),
									static_cast<float>(fy - p0.y)};
			float dot = vec_p0_sample.x * vec_p0_p1.x +
						vec_p0_sample.y * vec_p0_p1.y;
			/*- 軌跡ベクトルの長さの２乗を計算する -*/
			float length2 = vec_p0_p1.x * vec_p0_p1.x +
							vec_p0_p1.y * vec_p0_p1.y;

			/*- 距離の2乗を求める -*/
			float dist2;
			float framePosRatio;
			/*- P0より手前にある場合 -*/
			if (dot <= 0.0f) {
				dist2 = vec_p0_sample.x * vec_p0_sample.x +
						vec_p0_sample.y * vec_p0_sample.y;
				framePosRatio = 0.0f;
			} else {
				/*- P0〜P1間にある場合 -*/
				if (dot < length2) {
					float p0_sample_dist2 = vec_p0_sample.x * vec_p0_sample.x +
											vec_p0_sample.y * vec_p0_sample.y;
					dist2 = p0_sample_dist2 - dot * dot / length2;
					framePosRatio = dot / length2;
				}
				/*- P1より先にある場合 -*/
				else {
					float2 vec_p1_sample = {static_cast<float>(fx - p1.x),
											static_cast<float>(fy - p1.y)};
					dist2 = vec_p1_sample.x * vec_p1_sample.x +
							vec_p1_sample.y * vec_p1_sample.y;
					framePosRatio = 1.0f;
				}
			}
			/*- 距離が(√2 + 1)/2より遠かったらreturn dist2との比較だから2乗している -*/
			if (dist2 > 1.4571f) {
				(*fil_p) = 0.0f;
				continue;
			}

			/*-  現在のピクセルのサブピクセル(16*16)が、近傍ベクトルからの距離0.5の範囲にどれだけ
				 含まれているかをカウントする -*/
			int count = 0;

			for (int yy = 0; yy < 16; yy++) {
				/*- サブピクセルのY座標 -*/
				float subPosY = (float)fy + ((float)yy - 7.5f) / 16.0f;
				for (int xx = 0; xx < 16; xx++) {
					/*- サブピクセルのX座標 -*/
					float subPosX = (float)fx + ((float)xx - 7.5f) / 16.0f;

					float2 vec_p0_sub = {static_cast<float>(subPosX - p0.x),
										 static_cast<float>(subPosY - p0.y)};
					float sub_dot = vec_p0_sub.x * vec_p0_p1.x +
									vec_p0_sub.y * vec_p0_p1.y;
					/*- 距離の2乗を求める -*/
					float dist2;
					/*- P0より手前にある場合 -*/
					if (sub_dot <= 0.0f)
						dist2 = vec_p0_sub.x * vec_p0_sub.x + vec_p0_sub.y * vec_p0_sub.y;
					else {
						/*- P0〜P1間にある場合 -*/
						if (sub_dot < length2) {
							float p0_sub_dist2 = vec_p0_sub.x * vec_p0_sub.x +
												 vec_p0_sub.y * vec_p0_sub.y;
							dist2 = p0_sub_dist2 - sub_dot * sub_dot / length2;
						}
						/*-  P1より先にある場合 -*/
						else {
							float2 vec_p1_sub = {static_cast<float>(subPosX - p1.x),
												 static_cast<float>(subPosY - p1.y)};
							dist2 = vec_p1_sub.x * vec_p1_sub.x +
									vec_p1_sub.y * vec_p1_sub.y;
						}
					}
					/*- 距離の２乗が0.25より近ければカウントをインクリメント -*/
					if (dist2 <= 0.25f)
						count++;
				}
			}
			/*- 保険 カウントが０の場合はフィールド値０でreturn -*/
			if (count == 0) {
				(*fil_p) = 0.0f;
				continue;
			}
			/*- countは Max256 -*/
			float countRatio = (float)count / 256.0f;

			/*- オフセット値を求める -*/
			float offset = (bidirectional) ? abs(framePosRatio * 2.0 - 1.0) : framePosRatio;

			/*- フィルタごとに分ける -*/
			float bokeAsiVal;
			switch (filterType) {
			case Linear:
				bokeAsiVal = 1.0f - offset;
				break;
			case Gaussian: {
				int index = (int)floor(offset * 100.0f);
				float ratio = offset * 100.0f - (float)index;
				bokeAsiVal = gaussian[index] * (1.0f - ratio) + gaussian[index + 1] * ratio;
			} break;
			case Flat:
				bokeAsiVal = 1.0f;
				break;
			default:
				bokeAsiVal = 1.0f - offset;
				break;
			}

			/*- フィールド値の格納 -*/
			(*fil_p) = bokeAsiVal * countRatio;
			intensity_sum += (*fil_p);
		}
	}

	/*- 正規化 -*/
	fil_p = filter;
	for (int f = 0; f < filterDim.lx * filterDim.ly; f++, fil_p++) {
		if ((*fil_p) == 0.0f)
			continue;
		(*fil_p) /= intensity_sum;
	}
}

//------------------------------------

bool Iwa_DirectionalBlurFx::doGetBBox(double frame,
									  TRectD &bBox,
									  const TRenderSettings &info)
{
	if (false == this->m_input.isConnected()) {
		bBox = TRectD();
		return false;
	}

	bool ret = m_input->doGetBBox(frame, bBox, info);

	if (bBox == TConsts::infiniteRectD)
		return ret;

	TPointD blur;
	double angle = m_angle->getValue(frame) * M_PI_180;
	double intensity = m_intensity->getValue(frame);
	bool bidirectional = m_bidirectional->getValue();

	blur.x = intensity * cos(angle);
	blur.y = intensity * sin(angle);

	/*- 上下左右のマージンを得る -*/
	double minX, maxX, minY, maxY;
	if (blur.x > 0.0) /*- X成分が正の場合 -*/
	{
		maxX = blur.x;
		minX = (bidirectional) ? -blur.x : 0.0;
	} else /*- X成分が負の場合 -*/
	{
		maxX = (bidirectional) ? -blur.x : 0.0;
		minX = blur.x;
	}
	if (blur.y > 0.0) /*- Y成分が正の場合 -*/
	{
		maxY = blur.y;
		minY = (bidirectional) ? -blur.y : 0.0;
	} else /*-  Y成分が負の場合 -*/
	{
		maxY = (bidirectional) ? -blur.y : 0.0;
		minY = blur.y;
	}
	int marginLeft = (int)ceil(abs(minX));
	int marginRight = (int)ceil(abs(maxX));
	int marginTop = (int)ceil(abs(maxY));
	int marginBottom = (int)ceil(abs(minY));

	TRectD enlargedBBox(bBox.x0 - (double)marginLeft,
						bBox.y0 - (double)marginBottom,
						bBox.x1 + (double)marginRight,
						bBox.y1 + (double)marginTop);

	bBox = enlargedBBox;

	return ret;
}

//------------------------------------

bool Iwa_DirectionalBlurFx::canHandle(const TRenderSettings &info,
									  double frame)
{
	return isAlmostIsotropic(info.m_affine) || m_intensity->getValue(frame) == 0;
}

//------------------------------------

void Iwa_DirectionalBlurFx::getParamUIs(TParamUIConcept *&concepts,
										int &length)
{
	concepts = new TParamUIConcept[length = 1];

	concepts[0].m_type = TParamUIConcept::POLAR;
	concepts[0].m_label = "Angle and Intensity";
	concepts[0].m_params.push_back(m_angle);
	concepts[0].m_params.push_back(m_intensity);
}

//------------------------------------

FX_PLUGIN_IDENTIFIER(Iwa_DirectionalBlurFx, "iwa_DirectionalBlurFx")