enazoe / yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
MIT License
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Error during make #35

Closed souravrs999 closed 4 years ago

souravrs999 commented 4 years ago

[ 94%] Building CXX object CMakeFiles/yolo-trt.dir/samples/sample_detector.cpp.o /usr/bin/c++ -I/usr/local/cuda-10.0/include -I/home/jetsonnano/Desktop/yolo-tensorrt/modules -I/home/jetsonnano/Desktop/yolo-tensorrt/extra -isystem /usr/local/include/opencv4 -std=c++14 -Wno-write-strings -std=gnu++11 -o CMakeFiles/yolo-trt.dir/samples/sample_detector.cpp.o -c /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp: In function ‘int main()’: /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp:40:45: error: ‘make_unique’ is not a member of ‘std’ std::uniqueptr detector = std::make_unique(); ^~~ /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp:40:45: note: suggested alternative: ‘__unique’ std::uniqueptr detector = std::make_unique(); ^~~ __unique /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp:40:65: error: expected primary-expression before ‘>’ token std::uniqueptr detector = std::make_unique(); ^ /home/jetsonnano/Desktop/yolo-tensorrt/samples/sample_detector.cpp:40:67: error: expected primary-expression before ‘)’ token std::uniqueptr detector = std::make_unique(); ^ CMakeFiles/yolo-trt.dir/build.make:62: recipe for target 'CMakeFiles/yolo-trt.dir/samples/sample_detector.cpp.o' failed make[2]: [CMakeFiles/yolo-trt.dir/samples/sample_detector.cpp.o] Error 1 make[2]: Leaving directory '/home/jetsonnano/Desktop/yolo-tensorrt/build' CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/yolo-trt.dir/all' failed make[1]: [CMakeFiles/yolo-trt.dir/all] Error 2 make[1]: Leaving directory '/home/jetsonnano/Desktop/yolo-tensorrt/build' Makefile:83: recipe for target 'all' failed make: *** [all] Error 2

souravrs999 commented 4 years ago

does it have to do anything with the CUDA or Tensorrt version or something CUDA 10.0.326 OpenCV 4.4.0-pcompiled CUDA: YES TensorRT: 6.0.1.10 VPI: .1.0.0 VisionWorks: 1.6.0.500n Vulkan: 1.1.70 cuDNN: 7.6.3.28