thebears/deepstream_yolo
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New features and fixes

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This commit is contained in:
Marcos Luciano
2023-06-05 14:48:23 -03:00
parent 3f14b0d95d
commit 66a6754b77
57 changed files with 2137 additions and 1534 deletions
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24
nvdsinfer_custom_impl_Yolo/utils.cpp
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@@ -60,15 +60,16 @@ bool
fileExists(const std::string fileName, bool verbose)
{
if (!std::experimental::filesystem::exists(std::experimental::filesystem::path(fileName))) {
if (verbose)
if (verbose) {
std::cout << "\nFile does not exist: " << fileName << std::endl;
}
return false;
}
return true;
}
std::vector<float>
loadWeights(const std::string weightsFilePath, const std::string& networkType)
loadWeights(const std::string weightsFilePath, const std::string& modelName)
{
assert(fileExists(weightsFilePath));
std::cout << "\nLoading pre-trained weights" << std::endl;
@@ -80,7 +81,7 @@ loadWeights(const std::string weightsFilePath, const std::string& networkType)
assert(file.good());
std::string line;
if (networkType.find("yolov2") != std::string::npos && networkType.find("yolov2-tiny") == std::string::npos) {
if (modelName.find("yolov2") != std::string::npos && modelName.find("yolov2-tiny") == std::string::npos) {
// Remove 4 int32 bytes of data from the stream belonging to the header
file.ignore(4 * 4);
}
@@ -94,8 +95,9 @@ loadWeights(const std::string weightsFilePath, const std::string& networkType)
file.read(floatWeight, 4);
assert(file.gcount() == 4);
weights.push_back(*reinterpret_cast<float*>(floatWeight));
if (file.peek() == std::istream::traits_type::eof())
if (file.peek() == std::istream::traits_type::eof()) {
break;
}
}
}
else {
@@ -103,7 +105,7 @@ loadWeights(const std::string weightsFilePath, const std::string& networkType)
assert(0);
}
std::cout << "Loading weights of " << networkType << " complete" << std::endl;
std::cout << "Loading weights of " << modelName << " complete" << std::endl;
std::cout << "Total weights read: " << weights.size() << std::endl;
return weights;
@@ -116,8 +118,9 @@ dimsToString(const nvinfer1::Dims d)
std::stringstream s;
s << "[";
for (int i = 0; i < d.nbDims - 1; ++i)
for (int i = 1; i < d.nbDims - 1; ++i) {
s << d.d[i] << ", ";
}
s << d.d[d.nbDims - 1] << "]";
return s.str();
@@ -127,16 +130,15 @@ int
getNumChannels(nvinfer1::ITensor* t)
{
nvinfer1::Dims d = t->getDimensions();
assert(d.nbDims == 3);
return d.d[0];
assert(d.nbDims == 4);
return d.d[1];
}
void
printLayerInfo(std::string layerIndex, std::string layerName, std::string layerInput, std::string layerOutput,
std::string weightPtr)
{
std::cout << std::setw(8) << std::left << layerIndex << std::setw(30) << std::left << layerName;
std::cout << std::setw(20) << std::left << layerInput << std::setw(20) << std::left << layerOutput;
std::cout << std::setw(7) << std::left << layerIndex << std::setw(40) << std::left << layerName;
std::cout << std::setw(19) << std::left << layerInput << std::setw(19) << std::left << layerOutput;
std::cout << weightPtr << std::endl;
}