How to use mmdeploy::Span container？ #2235

Ruid6 · 2023-07-03T07:20:33Z

Ruid6
Jul 3, 2023

I want batch inference，use this function . it not work, Can anyone give me some examples?

i dont know how to use, i use it like this

mmdeploy::Span <mmdeploy::PoseTracker::State> states(&state,3);
mmdeploy::Span <int32_t> detects{ -1,-1,-1 };
mmdeploy::Span <const cv::Mat> inputs{ &frame0,&frame1 };

it output error,

1>main.cxx
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\pose_tracker.hpp(127): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\common.hpp(64,1): message : 查看对正在编译的函数模板实例化“auto mmdeploy::cxx::PoseTracker::Apply::<lambda_1>::operator ()std::nullptr_t(_T1) const”的引用
1> with
1> [
1> _T1=std::nullptr_t
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\pose_tracker.hpp(127): message : 查看指向正在编译的变量模板“const bool conjunction_v<std::is_move_constructible<mmdeploy::cxx::PoseTracker::Apply'::2'::<lambda_1> >,std::_Can_call_function_object<mmdeploy::cxx::PoseTracker::Apply'::2'::<lambda_1> &,std::nullptr_t &,void> >”的引用
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\utils\mediaio.h(244,27): warning C4018: “>”: 有符号/无符号不匹配
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\utils\visualize.h(64,62): warning C4244: “参数”: 从“int”转换到“_Tp”，可能丢失数据
1> with
1> [
1> _Tp=float
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\utils\visualize.h(65,51): warning C4244: “参数”: 从“_Tp”转换到“_Tp”，可能丢失数据
1> with
1> [
1> _Tp=int
1> ]
1> and
1> [
1> _Tp=float
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\utils\visualize.h(69,66): warning C4244: “参数”: 从“_Tp”转换到“_Tp”，可能丢失数据
1> with
1> [
1> Tp=int
1> ]
1> and
1> [
1> Tp=float
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\utils\visualize.h(140,76): warning C4244: “参数”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(29,21): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(30,31): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(32,26): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(34,29): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(35,32): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(36,26): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\pose_tracker_params.h(37,27): warning C4244: “=”: 从“double”转换到“float”，可能丢失数据
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59,31): error C2440: “初始化”: 无法从“const cv::Mat *”转换为“T *”
1> with
1> [
1> T=const mmdeploy::cxx::Mat
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59,31): message : 指向的类型不相关; 转换需要 reinterpret_cast、C 样式强制转换或带圆括号的函数样式强制转换
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\main.cxx(75,92): message : 查看对正在编译的函数模板实例化“mmdeploy::Span::Span<mmdeploy::Span,void,void>(U &)”的引用
1> with
1> [
1> U=mmdeploy::Span
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\main.cxx(75,47): message : 查看对正在编译的函数模板实例化“mmdeploy::Span::Span<mmdeploy::Span,void,void>(U &)”的引用
1> with
1> [
1> U=mmdeploy::Span
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59): error C2439: “mmdeploy::Span::data”: 未能初始化成员
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(115,6): message : 参见“mmdeploy::Span::data”的声明

irexyc · 2023-07-03T09:48:00Z

irexyc
Jul 3, 2023
Maintainer

It's a implementation of std::span, the usage should be same, you can refer to https://en.cppreference.com/w/cpp/container/span

1 reply

Ruid6 Jul 3, 2023
Author

i have seen above ,but it still not work, How to init cv::Mat ?

void process_data(std::span<int> data) {
    // 处理 data 内存区间的元素
}

int main() {
    int arr[] = {1, 2, 3, 4, 5};
    std::vector<int> vec = {6, 7, 8, 9, 10};
    process_data(arr);              // 传递整个数组 arr
    process_data(vec);              // 传递整个向量 vec
    process_data(arr + 1, 3);       // 传递数组 arr 的第 2~4 个元素
    process_data(vec.data() + 1, 3); // 传递向量 vec 的第 2~4 个元素
    return 0;
}

std::vector<cv::Mat> inputs = {frame0.clone(),frame1.clone()};
std::vector<mmdeploy::PoseTracker::Result> results = tracker.Apply(states,inputs);

1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59,31): error C2440: “初始化”: 无法从“Ty *”转换为“T *”
1> with
1> [
1> Ty=cv::Mat
1> ]
1> and
1> [
1> T=const mmdeploy::cxx::Mat
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59,31): message : 指向的类型不相关; 转换需要 reinterpret_cast、C 样式强制转换或带圆括号的函数样式强制转换
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\main.cxx(75,84): message : 查看对正在编译的函数模板实例化“mmdeploy::Span::Span<std::vector<cv::Mat,std::allocatorcv::Mat>,void,void>(U &)”的引用
1> with
1> [
1> U=std::vector<cv::Mat,std::allocatorcv::Mat>
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\main.cxx(75,47): message : 查看对正在编译的函数模板实例化“mmdeploy::Span::Span<std::vector<cv::Mat,std::allocatorcv::Mat>,void,void>(U &)”的引用
1> with
1> [
1> U=std::vector<cv::Mat,std::allocatorcv::Mat>
1> ]
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(59): error C2439: “mmdeploy::Span::data”: 未能初始化成员
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\core\mpl\span.h(115,6): message : 参见“mmdeploy::Span::data”的声明

irexyc · 2023-07-03T12:55:28Z

irexyc
Jul 3, 2023
Maintainer

There is no convertion of cv::Mat* to mmdeploy::cxx::Mat*, but has a implicit convertion of cv::Mat to mmdeploy::cxx::Mat

You can use this way:

std::vector<cv::Mat> inputs = {frame0.clone(),frame1.clone()};
std::vector<Mat> inputs2(inputs.begin(), inputs.end());
std::vector<mmdeploy::PoseTracker::Result> results = tracker.Apply(states,inputs2);

1 reply

Ruid6 Jul 3, 2023
Author

I'm sorry, again. I don't know much about C++

  mmdeploy::PoseTracker tracker(mmdeploy::Model(ARGS_det_model), mmdeploy::Model(ARGS_pose_model),
                                mmdeploy::Device{FLAGS_device});

  mmdeploy::PoseTracker::Params params;
  // initialize tracker params with program arguments
  InitTrackerParams(params);

  // create a tracker state for each video
  mmdeploy::PoseTracker::State state = tracker.CreateState(params);
  mmdeploy::Span<mmdeploy::PoseTracker::State> states(&state, 2);

0x00007FFCB70C97E6 (mmdeploy.dll)处(位于 testpose_tracker.exe 中)引发的异常: 0xC0000005: 读取位置 0xFFFFFFFFFFFFFFFF 时发生访问冲突。


  mmdeploy::PoseTracker::State state = tracker.CreateState(params);
  std::vector< mmdeploy::PoseTracker::State> states = {&state,&state};

1>C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.35.32215\include\xmemory(680,47): error C2280: “mmdeploy::cxx::PoseTracker::State::State(const mmdeploy::cxx::PoseTracker::State &)”: 尝试引用已删除的函数

it work in python

   
    videos = []
    states = []
    detects = []
    for i in range(args.video_nums):
        videos.append(cv2.VideoCapture(i))
        states.append(state)
        detects.append(-1)
    states = np.ascontiguousarray(np.asarray(states))
    detects = np.ascontiguousarray(np.asarray(detects))

irexyc · 2023-07-04T02:48:13Z

irexyc
Jul 4, 2023
Maintainer

span is used to describe a continuous memory sequence

mmdeploy::PoseTracker::State state1 = tracker.CreateState(params);
mmdeploy::PoseTracker::State state2 = tracker.CreateState(params);
std::vectormmdeploy::PoseTracker::State vec{state1, state2}
mmdeploy::Spanmmdeploy::PoseTracker::State states(vec.data(), 2);

1 reply

Ruid6 Jul 4, 2023
Author

i try it ,too

  mmdeploy::PoseTracker::State state = tracker.CreateState(params);
  mmdeploy::PoseTracker::State state1 = tracker.CreateState(params);
  std::vector< mmdeploy::PoseTracker::State> vec{ state,state1 };
  mmdeploy::Span<mmdeploy::PoseTracker::State> states(vec.data(), 2);

1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\example\cpp\cpp\main.cxx(42,46): error C2280: “mmdeploy::cxx::PoseTracker::State::State(const mmdeploy::cxx::PoseTracker::State &)”: 尝试引用已删除的函数
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\pose_tracker.hpp(100,3): message : 编译器已在此处生成“mmdeploy::cxx::PoseTracker::State::State”
1>E:\Rtmpose\mmdeploy-1.1.0-windows-amd64-cuda11.3\include\mmdeploy\pose_tracker.hpp(100,3): message : “mmdeploy::cxx::PoseTracker::State::State(const mmdeploy::cxx::PoseTracker::State &)”: 由于“mmdeploy::cxx::PoseTracker::State”具有用户定义的 移动构造函数，因此已隐式删除函数

irexyc · 2023-07-04T07:15:24Z

irexyc
Jul 4, 2023
Maintainer

my bad, try this:

std::array<mmdeploy::PoseTracker::State, 2> arr = {tracker.CreateState(params), tracker.CreateState(params)};
mmdeploy::Span<mmdeploy::PoseTracker::State> states(arr.data(), 2); // or just mmdeploy::Span<mmdeploy::PoseTracker::State> states(arr)

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How to use mmdeploy::Span container？ #2235

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