We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
老师您好,HighPerformance.hpp这个高性能和项目里其他正常的实现,主要有什么区别呀?谢谢!
另外在app_high_performance.cpp#L83 调用 connect(pose, output); 是不是写的有点问题,输入的参数顺序反了?pose是输入,output是输出。
void connect(Node& output, Node& input, int max_cache=30); 引用自
tensorRT_Pro/src/application/app_high_performance/high_performance.hpp
Line 141 in f24e492
The text was updated successfully, but these errors were encountered:
大致明白了,HighPerformance实现了各个子任务有依赖关系时候的高效连接,PoseNode pose节点的输出是作为OutputNode output节点的输入。
Sorry, something went wrong.
是的是的,这个里面的代码是一个思想实验
请问这个有什么样的场景会用到这种调用结构吗
No branches or pull requests
老师您好,HighPerformance.hpp这个高性能和项目里其他正常的实现,主要有什么区别呀?谢谢!
另外在app_high_performance.cpp#L83 调用 connect(pose, output); 是不是写的有点问题,输入的参数顺序反了?pose是输入,output是输出。
void connect(Node& output, Node& input, int max_cache=30);
引用自
tensorRT_Pro/src/application/app_high_performance/high_performance.hpp
Line 141 in f24e492
The text was updated successfully, but these errors were encountered: