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utils.h
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utils.h
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#ifndef TENSORRTX_UTILS_H
#define TENSORRTX_UTILS_H
#include <map>
#include <opencv2/opencv.hpp>
#include "NvInfer.h"
#include "cuda_runtime_api.h"
#include "assert.h"
using namespace nvinfer1;
std::map<std::string, Weights> loadWeights(const std::string file);
cv::RotatedRect expandBox(const cv::RotatedRect &inBox, float ratio = 1.0);
void drawRects(cv::Mat &image, cv::Mat mask, float ratio_h, float ratio_w, int stride, float expand_ratio = 1.4);
cv::Mat renderSegment(cv::Mat image, const cv::Mat &mask);
// <============== Operator =============>
struct InferDeleter
{
template <typename T>
void operator()(T *obj) const
{
if (obj)
{
obj->destroy();
}
}
};
#define CHECK(status) \
do \
{ \
auto ret = (status); \
if (ret != 0) \
{ \
std::cout << "Cuda failure: " << ret; \
abort(); \
} \
} while (0)
// Logger for TensorRT info/warning/errors
class Logger : public nvinfer1::ILogger
{
public:
Logger() : Logger(Severity::kWARNING) {}
Logger(Severity severity) : reportableSeverity(severity) {}
void log(Severity severity, const char *msg) override
{
// suppress messages with severity enum value greater than the reportable
if (severity > reportableSeverity)
return;
switch (severity)
{
case Severity::kINTERNAL_ERROR:
std::cerr << "INTERNAL_ERROR: ";
break;
case Severity::kERROR:
std::cerr << "ERROR: ";
break;
case Severity::kWARNING:
std::cerr << "WARNING: ";
break;
case Severity::kINFO:
std::cerr << "INFO: ";
break;
default:
std::cerr << "UNKNOWN: ";
break;
}
std::cerr << msg << std::endl;
}
Severity reportableSeverity{Severity::kWARNING};
};
#endif