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ycxia avatar ycxia commented on May 22, 2024

auto steady_infer1 = std::chrono::steady_clock::now();
utils::DeviceTimer d_t2; yolo.infer(); float t2 = d_t2.getUsedTime();
auto steady_infer2 = std::chrono::steady_clock::now();
std::cout << "yolo.infer time: " << std::chrono::duration<double, std::milli>(steady_infer2 - steady_infer1).count() << " ms\n";

from tensorrt-alpha.

FeiYull avatar FeiYull commented on May 22, 2024

@ycxia As shown in the figure below, the program continues to run for 5 minutes, and the time of doing inference is still nearly 4.4ms.
111

Some suggestions:

  • Turn off visualization
  • Do not save images by OpenCV
  • The code should be run on the GPU as much as possible

from tensorrt-alpha.

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