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onnx: fix formating
Code alignement was not alway consistent Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/7205>
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parent
43edff4e29
commit
4ff98d66bb
1 changed files with 16 additions and 13 deletions
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@ -323,8 +323,9 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
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height = newHeight;
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}
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// copy tensor data to a GstTensorMeta
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GstTensorMeta *GstOnnxClient::copy_tensors_to_meta (std::vector < Ort::Value >
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// copy tensor data to a GstTensorMeta
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GstTensorMeta *
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GstOnnxClient::copy_tensors_to_meta (std::vector < Ort::Value >
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&outputs, GstBuffer * buffer)
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{
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size_t num_tensors = outputNamesRaw.size ();
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@ -344,7 +345,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
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if (hasIds)
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tensor->id = outputIds[i];
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else
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tensor->id = 0;
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tensor->id = 0;
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auto tensorShape = outputTensor.GetTensorTypeAndShapeInfo ().GetShape ();
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tensor->num_dims = tensorShape.size ();
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tensor->dims = g_new (int64_t, tensor->num_dims);
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@ -356,25 +357,26 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
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outputTensor.GetTensorTypeAndShapeInfo ().GetElementCount ();
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if (tensorType == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT) {
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size_t buffer_size = 0;
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size_t buffer_size = 0;
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buffer_size = numElements * sizeof (float);
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tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
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gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
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tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
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gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
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buffer_size);
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tensor->data_type = GST_TENSOR_TYPE_FLOAT32;
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} else if (tensorType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32) {
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size_t buffer_size = 0;
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size_t buffer_size = 0;
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buffer_size = numElements * sizeof (int);
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tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
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gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
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tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
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gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
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buffer_size);
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tensor->data_type = GST_TENSOR_TYPE_INT32;
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} else {
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GST_ERROR_OBJECT (debug_parent, "Output tensor is not FLOAT32 or INT32, not supported");
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gst_buffer_remove_meta (buffer, (GstMeta*) tmeta);
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return NULL;
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GST_ERROR_OBJECT (debug_parent,
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"Output tensor is not FLOAT32 or INT32, not supported");
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gst_buffer_remove_meta (buffer, (GstMeta *) tmeta);
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return NULL;
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}
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}
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@ -383,7 +385,8 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
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}
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std::vector < Ort::Value > GstOnnxClient::run (uint8_t * img_data,
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GstVideoInfo vinfo) {
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GstVideoInfo vinfo)
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{
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std::vector < Ort::Value > modelOutput;
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doRun (img_data, vinfo, modelOutput);
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