Very small Bounding Boxes with custom sgie model

Accelerated Computing Intelligent Video Analytics DeepStream SDK
13

from the piece of code, it’s hard to say what the root cause is.
Could you apply below change to dump the raw output of the sgie and parse the output offline to check its BBOX side.

diff --git a/libs/nvdsinfer/nvdsinfer_context_impl.cpp b/libs/nvdsinfer/nvdsinfer_context_impl.cpp
index 73485e0..827001c 100644
--- a/libs/nvdsinfer/nvdsinfer_context_impl.cpp
+++ b/libs/nvdsinfer/nvdsinfer_context_impl.cpp
@@ -23,6 +23,7 @@
 #include <NvInferPlugin.h>
 #include <NvUffParser.h>
 #include <NvOnnxParser.h>
+#include <opencv2/imgcodecs.hpp>

 #include "nvdsinfer_context_impl.h"
 #include "nvdsinfer_conversion.h"
@@ -528,6 +529,17 @@ InferPostprocessor::copyBuffersToHostMemory(NvDsInferBatch& batch, CudaStream& m
                         batch.m_BatchSize,
                     cudaMemcpyDeviceToHost, mainStream),
                 "postprocessing cudaMemcpyAsync for output buffers failed");
+           {
+               cudaStreamSynchronize(mainStream);
+
+               std::string filename =
+                       "gie-" + std::to_string(m_UniqueID) +
+                       "output-layer-index-" + std::to_string(i);
+               std::ofstream dump_file(filename, std::ios::binary);
+               dump_file.write((char *)batch.m_HostBuffers[info.bindingIndex]->ptr(),
+                       getElementSize(info.dataType) * info.inferDims.numElements *
+                       batch.m_BatchSize);
+           }
         }
         else if (needInputCopy())
         {