From 08ab86ba271007b0f54f4a26932e194ee1ad236d Mon Sep 17 00:00:00 2001 From: Ian Chen Date: Mon, 29 Jul 2024 09:40:06 -0700 Subject: [PATCH] Skip apply noise / distortion if parameters are 0s (#450) Signed-off-by: Ian Chen --- src/CameraSensor.cc | 39 ++++++++++++++++++++++++++++----------- src/DepthCameraSensor.cc | 20 ++++++++++++++------ src/Lidar.cc | 12 ++++++++++-- 3 files changed, 52 insertions(+), 19 deletions(-) diff --git a/src/CameraSensor.cc b/src/CameraSensor.cc index b0f558a7..92a357a9 100644 --- a/src/CameraSensor.cc +++ b/src/CameraSensor.cc @@ -224,12 +224,20 @@ bool CameraSensor::CreateCamera() // Add gaussian noise to camera sensor if (noiseSdf.Type() == sdf::NoiseType::GAUSSIAN) { - this->dataPtr->noises[noiseType] = - ImageNoiseFactory::NewNoiseModel(noiseSdf, "camera"); + // Skip applying noise if mean and stddev are 0 - this avoids + // doing an extra render pass in gz-rendering + // Note ImageGaussianNoiseModel only uses mean and stddev and does not + // use bias parameters. + if (!math::equal(noiseSdf.Mean(), 0.0) || + !math::equal(noiseSdf.StdDev(), 0.0)) + { + this->dataPtr->noises[noiseType] = + ImageNoiseFactory::NewNoiseModel(noiseSdf, "camera"); - std::dynamic_pointer_cast( - this->dataPtr->noises[noiseType])->SetCamera( - this->dataPtr->camera); + std::dynamic_pointer_cast( + this->dataPtr->noises[noiseType])->SetCamera( + this->dataPtr->camera); + } } else if (noiseSdf.Type() != sdf::NoiseType::NONE) { @@ -253,13 +261,22 @@ bool CameraSensor::CreateCamera() this->dataPtr->camera->SetHFOV(angle); if (cameraSdf->Element() != nullptr && - cameraSdf->Element()->HasElement("distortion")) { - this->dataPtr->distortion = - ImageDistortionFactory::NewDistortionModel(*cameraSdf, "camera"); - this->dataPtr->distortion->Load(*cameraSdf); + cameraSdf->Element()->HasElement("distortion")) + { + // Skip distortion of all coefficients are 0s + if (!math::equal(cameraSdf->DistortionK1(), 0.0) || + !math::equal(cameraSdf->DistortionK2(), 0.0) || + !math::equal(cameraSdf->DistortionK3(), 0.0) || + !math::equal(cameraSdf->DistortionP1(), 0.0) || + !math::equal(cameraSdf->DistortionP2(), 0.0)) + { + this->dataPtr->distortion = + ImageDistortionFactory::NewDistortionModel(*cameraSdf, "camera"); + this->dataPtr->distortion->Load(*cameraSdf); - std::dynamic_pointer_cast( - this->dataPtr->distortion)->SetCamera(this->dataPtr->camera); + std::dynamic_pointer_cast( + this->dataPtr->distortion)->SetCamera(this->dataPtr->camera); + } } sdf::PixelFormatType pixelFormat = cameraSdf->PixelFormat(); diff --git a/src/DepthCameraSensor.cc b/src/DepthCameraSensor.cc index 52f88d8c..41ed4e52 100644 --- a/src/DepthCameraSensor.cc +++ b/src/DepthCameraSensor.cc @@ -362,12 +362,20 @@ bool DepthCameraSensor::CreateCamera() // Add gaussian noise to camera sensor if (noiseSdf.Type() == sdf::NoiseType::GAUSSIAN) { - this->dataPtr->noises[noiseType] = - ImageNoiseFactory::NewNoiseModel(noiseSdf, "depth"); - - std::dynamic_pointer_cast( - this->dataPtr->noises[noiseType])->SetCamera( - this->dataPtr->depthCamera); + // Skip applying noise if mean and stddev are 0 - this avoids + // doing an extra render pass in gz-rendering + // Note ImageGaussianNoiseModel only uses mean and stddev and does not + // use bias parameters. + if (!math::equal(noiseSdf.Mean(), 0.0) || + !math::equal(noiseSdf.StdDev(), 0.0)) + { + this->dataPtr->noises[noiseType] = + ImageNoiseFactory::NewNoiseModel(noiseSdf, "depth"); + + std::dynamic_pointer_cast( + this->dataPtr->noises[noiseType])->SetCamera( + this->dataPtr->depthCamera); + } } else if (noiseSdf.Type() != sdf::NoiseType::NONE) { diff --git a/src/Lidar.cc b/src/Lidar.cc index 5a1e8a03..c67d5dc4 100644 --- a/src/Lidar.cc +++ b/src/Lidar.cc @@ -172,8 +172,16 @@ bool Lidar::Load(const sdf::Sensor &_sdf) { if (noiseSdf.Type() == sdf::NoiseType::GAUSSIAN) { - this->dataPtr->noises[noiseType] = - NoiseFactory::NewNoiseModel(noiseSdf); + // Skip applying noise if gaussian noise params are all 0s + if (!math::equal(noiseSdf.Mean(), 0.0) || + !math::equal(noiseSdf.StdDev(), 0.0) || + !math::equal(noiseSdf.BiasMean(), 0.0) || + !math::equal(noiseSdf.DynamicBiasStdDev(), 0.0) || + !math::equal(noiseSdf.DynamicBiasCorrelationTime(), 0.0)) + { + this->dataPtr->noises[noiseType] = + NoiseFactory::NewNoiseModel(noiseSdf); + } } else if (noiseSdf.Type() != sdf::NoiseType::NONE) {