Hello, I am trying to work with PyTorch-ONNX-TensorRT-CPP tutorial.
I am working on jetson orin with TensorRT 8.4 and cuda 11.4.
While trying to compile project I get 2 error:
error: looser throw specifier for ‘virtual void Logger::log(nvinfer1::ILogger::Severity, const char)’
21 | void log(Severity severity, const char msg) override {
and
error: ‘class nvinfer1::IBuilder’ has no member named ‘createNetwork’; did you mean ‘createNetworkV2’?
144 | TRTUniquePtr network{builder->createNetwork()};
First error I fixed by adding "noexcept" before "override" in 21 line:
void log(Severity severity, const char* msg) noexcept override {
Second error I fixed by changing "createNetwork()" to createNetworkV2(1U) in line 144:
TRTUniquePtr network{builder->createNetworkV2(1U)};
After changes, projects compiles successfully.
When I run pytorch_model.py I get correct predictions:
class: cup , confidence: 92.43268585205078 %, index: 968
class: espresso , confidence: 6.134716033935547 %, index: 967
class: coffee mug , confidence: 0.7281741499900818 %, index: 504
Hello, I am trying to work with PyTorch-ONNX-TensorRT-CPP tutorial. I am working on jetson orin with TensorRT 8.4 and cuda 11.4.
While trying to compile project I get 2 error: error: looser throw specifier for ‘virtual void Logger::log(nvinfer1::ILogger::Severity, const char)’ 21 | void log(Severity severity, const char msg) override { and error: ‘class nvinfer1::IBuilder’ has no member named ‘createNetwork’; did you mean ‘createNetworkV2’? 144 | TRTUniquePtr network{builder->createNetwork()};
First error I fixed by adding "noexcept" before "override" in 21 line: void log(Severity severity, const char* msg) noexcept override {
Second error I fixed by changing "createNetwork()" to createNetworkV2(1U) in line 144: TRTUniquePtr network{builder->createNetworkV2(1U)};
After changes, projects compiles successfully.
When I run pytorch_model.py I get correct predictions: class: cup , confidence: 92.43268585205078 %, index: 968 class: espresso , confidence: 6.134716033935547 %, index: 967 class: coffee mug , confidence: 0.7281741499900818 %, index: 504
However, when I run ./trt_sample resnet50.onnx turkish_coffee.jpg I get: class: web site, website, internet site, site | confidence: 5.82525% | index: 916 class: cleaver, meat cleaver, chopper | confidence: 3.85025% | index: 499 class: nematode, nematode worm, roundworm | confidence: 3.3714% | index: 111 class: envelope | confidence: 3.0221% | index: 549 class: hatchet | confidence: 1.46425% | index: 596 class: nail | confidence: 1.38092% | index: 677 class: whistle | confidence: 1.24756% | index: 902 class: can opener, tin opener | confidence: 1.18116% | index: 473 class: hook, claw | confidence: 1.14482% | index: 600 class: guillotine | confidence: 0.986898% | index: 583 class: letter opener, paper knife, paperknife | confidence: 0.936203% | index: 623 class: theater curtain, theatre curtain | confidence: 0.92349% | index: 854 class: panpipe, pandean pipe, syrinx | confidence: 0.850759% | index: 699 class: revolver, six-gun, six-shooter | confidence: 0.827811% | index: 763 class: safety pin | confidence: 0.822975% | index: 772 class: plunger, plumber's helper | confidence: 0.783756% | index: 731 class: scabbard | confidence: 0.768597% | index: 777 class: hair slide | confidence: 0.730541% | index: 584 class: table lamp | confidence: 0.712225% | index: 846 class: bulletproof vest | confidence: 0.708064% | index: 465 class: assault rifle, assault gun | confidence: 0.663867% | index: 413 class: book jacket, dust cover, dust jacket, dust wrapper | confidence: 0.662572% | index: 921 class: stopwatch, stop watch | confidence: 0.658701% | index: 826 class: abaya | confidence: 0.648489% | index: 399 class: binder, ring-binder | confidence: 0.634705% | index: 446 class: chain | confidence: 0.633466% | index: 488 class: dishwasher, dish washer, dishwashing machine | confidence: 0.612779% | index: 534 class: rule, ruler | confidence: 0.61039% | index: 769 class: fire screen, fireguard | confidence: 0.603278% | index: 556 class: lipstick, lip rouge | confidence: 0.595087% | index: 629 class: screw | confidence: 0.592767% | index: 783 class: ocarina, sweet potato | confidence: 0.574529% | index: 684 class: mousetrap | confidence: 0.573408% | index: 674 class: muzzle | confidence: 0.567836% | index: 676 class: magnetic compass | confidence: 0.53972% | index: 635 class: hammer | confidence: 0.526189% | index: 587 class: maraca | confidence: 0.509005% | index: 641 class: spatula | confidence: 0.500135% | index: 813
Help for help in advance.