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Image segmentation cpu bugfix and onnx output update #1783

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Image segmentation cpu bugfix and onnx output update #1783

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d79b49d
Update model output processing
demoulinv Nov 21, 2024
92f919f
Remove cuda output allocator
demoulinv Nov 21, 2024
77a5760
bugfix in terminate function
demoulinv Nov 22, 2024
7c03abb
Let onnxRuntime handles output memory
demoulinv Jan 22, 2025
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67 changes: 43 additions & 24 deletions src/aliceVision/segmentation/segmentation.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,6 @@ bool Segmentation::initialize()

_output.resize(_parameters.classes.size() * _parameters.modelHeight * _parameters.modelWidth);
_cudaInput = cudaAllocator.Alloc(_output.size() * sizeof(float));
_cudaOutput = cudaAllocator.Alloc(_output.size() * sizeof(float));
#endif
}
else
Expand All @@ -90,12 +89,14 @@ bool Segmentation::initialize()

bool Segmentation::terminate()
{
if (_parameters.useGpu)
{
#if ALICEVISION_IS_DEFINED(ALICEVISION_HAVE_ONNX_GPU)
Ort::MemoryInfo mem_info_cuda("Cuda", OrtAllocatorType::OrtArenaAllocator, 0, OrtMemType::OrtMemTypeDefault);
Ort::Allocator cudaAllocator(*_ortSession, mem_info_cuda);
cudaAllocator.Free(_cudaInput);
cudaAllocator.Free(_cudaOutput);
Ort::MemoryInfo mem_info_cuda("Cuda", OrtAllocatorType::OrtArenaAllocator, 0, OrtMemType::OrtMemTypeDefault);
Ort::Allocator cudaAllocator(*_ortSession, mem_info_cuda);
cudaAllocator.Free(_cudaInput);
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#endif
}

return true;
}
Expand Down Expand Up @@ -244,7 +245,7 @@ bool Segmentation::mergeLabels(image::Image<ScoredLabel>& labels, image::Image<S
return true;
}

bool Segmentation::labelsFromModelOutput(image::Image<ScoredLabel>& labels, const std::vector<float>& modelOutput)
bool Segmentation::labelsFromOutputTensor(image::Image<ScoredLabel>& labels, Ort::Value& modelOutput)
{
for (int outputY = 0; outputY < _parameters.modelHeight; outputY++)
{
Expand All @@ -255,10 +256,8 @@ bool Segmentation::labelsFromModelOutput(image::Image<ScoredLabel>& labels, cons

for (int classe = 0; classe < _parameters.classes.size(); classe++)
{
int classPos = classe * _parameters.modelWidth * _parameters.modelHeight;
int pos = classPos + outputY * _parameters.modelWidth + outputX;

float val = modelOutput[pos];
const std::vector<int64_t> coords = {0,classe,outputY,outputX};
const float val = modelOutput.At<float>(coords);
if (val > maxVal)
{
maxVal = val;
Expand All @@ -281,29 +280,40 @@ bool Segmentation::processTile(image::Image<ScoredLabel>& labels, const image::I
std::vector<const char*> inputNames{"input"};
std::vector<const char*> outputNames{"output"};
std::vector<int64_t> inputDimensions = {1, 3, _parameters.modelHeight, _parameters.modelWidth};
std::vector<int64_t> outputDimensions = {1, static_cast<int64_t>(_parameters.classes.size()), _parameters.modelHeight, _parameters.modelWidth};

std::vector<float> output(_parameters.classes.size() * _parameters.modelHeight * _parameters.modelWidth);
Ort::Value outputTensors =
Ort::Value::CreateTensor<float>(memInfo, output.data(), output.size(), outputDimensions.data(), outputDimensions.size());

std::vector<float> transformedInput;
imageToPlanes(transformedInput, source);

Ort::Value inputTensors =
Ort::Value::CreateTensor<float>(memInfo, transformedInput.data(), transformedInput.size(), inputDimensions.data(), inputDimensions.size());

std::vector<Ort::Value> outTensor;

try
{
_ortSession->Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensors, 1, outputNames.data(), &outputTensors, 1);
outTensor = _ortSession->Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensors, 1, outputNames.data(), 1);
}
catch (const Ort::Exception& exception)
{
ALICEVISION_LOG_ERROR("ERROR running model inference: " << exception.what());
return false;
}

if (!labelsFromModelOutput(labels, output))
std::vector<float> output(_parameters.classes.size() * _parameters.modelHeight * _parameters.modelWidth);
int idx = 0;
for (int ch = 0; ch < _parameters.classes.size(); ch++)
{
for (int i = 0; i < _parameters.modelHeight; i++)
{
for (int j = 0; j < _parameters.modelWidth; j++)
{
const std::vector<int64_t> coords = {0, ch, i, j};
output[idx++] = outTensor[0].At<float>(coords);
}
}
}

if (!labelsFromOutputTensor(labels, outTensor[0]))
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{
return false;
}
Expand All @@ -321,10 +331,6 @@ bool Segmentation::processTileGPU(image::Image<ScoredLabel>& labels, const image
std::vector<const char*> inputNames{"input"};
std::vector<const char*> outputNames{"output"};
std::vector<int64_t> inputDimensions = {1, 3, _parameters.modelHeight, _parameters.modelWidth};
std::vector<int64_t> outputDimensions = {1, static_cast<int64_t>(_parameters.classes.size()), _parameters.modelHeight, _parameters.modelWidth};

Ort::Value outputTensors = Ort::Value::CreateTensor<float>(
mem_info_cuda, reinterpret_cast<float*>(_cudaOutput), _output.size(), outputDimensions.data(), outputDimensions.size());

std::vector<float> transformedInput;
imageToPlanes(transformedInput, source);
Expand All @@ -334,19 +340,32 @@ bool Segmentation::processTileGPU(image::Image<ScoredLabel>& labels, const image
Ort::Value inputTensors = Ort::Value::CreateTensor<float>(
mem_info_cuda, reinterpret_cast<float*>(_cudaInput), transformedInput.size(), inputDimensions.data(), inputDimensions.size());
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std::vector<Ort::Value> outTensor;

try
{
_ortSession->Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensors, 1, outputNames.data(), &outputTensors, 1);
outTensor = _ortSession->Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensors, 1, outputNames.data(), 1);
}
catch (const Ort::Exception& exception)
{
ALICEVISION_LOG_ERROR("ERROR running model inference: " << exception.what());
return false;
}

cudaMemcpy(_output.data(), _cudaOutput, sizeof(float) * _output.size(), cudaMemcpyDeviceToHost);
int idx = 0;
for (int ch = 0; ch < _parameters.classes.size(); ch++)
{
for (int i = 0; i < _parameters.modelHeight; i++)
{
for (int j = 0; j < _parameters.modelWidth; j++)
{
const std::vector<int64_t> coords = {0, ch, i, j};
_output[idx++] = outTensor[0].At<float>(coords);
}
}
}

if (!labelsFromModelOutput(labels, _output))
if (!labelsFromOutputTensor(labels, outTensor[0]))
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{
return false;
}
Expand Down
9 changes: 8 additions & 1 deletion src/aliceVision/segmentation/segmentation.hpp
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Expand Up @@ -86,11 +86,18 @@ class Segmentation

/**
* Transform model output to a label image
* @param labels the output labels imaage
* @param labels the output labels image
* @param modeloutput the model output vector
*/
bool labelsFromModelOutput(image::Image<ScoredLabel>& labels, const std::vector<float>& modelOutput);
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/**
* Transform model output to a label image
* @param labels the output labels image
* @param modeloutput the model output tensor
*/
bool labelsFromOutputTensor(image::Image<ScoredLabel>& labels, Ort::Value& modelOutput);

/**
* Process effectively a buffer of the model input size
* param labels the output labels
Expand Down
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