casontsai / maskrcnn_tensorflow_cpp_inference Goto Github PK

I downloaded your code, but I don`t know how to run this demo for I am unfamiliar with cpp.
I have installed vs2015, qt 5.8.0,cuda, opencv, and downloaded the tensorflow library from given link, but how can I import these libraries into vs2015?

First I have build an empty QT application in vs2015, secondly I import these code into it. Then I modified the property sheet to include these library. But when I try to compile the code, VS2015 raised many error in some strange library such as "tensor_shape.h"(in the "外部依赖项")?

Could you please show me the process of building such environment? （Chinese is ok 博客链接什么的都可以）

I have two errors when I compiled the prj with vs2015 like this, most problem is the function get_anchors, I do not know how to fix it,please help me, thanks:
d:\tools\tensorflow-win\tensorflow\bazel-tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorExecutor.h(143): error C2440: “”: 无法从“const Eigen::DSizes<__int64,1>”转换为“TensorBlockDimensions”
1> d:\tools\tensorflow-win\tensorflow\bazel-tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorExecutor.h(143): note: 无构造函数可以接受源类型，或构造函数重载决策不明确
1> d:\tools\tensorflow-win\tensorflow\bazel-tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorExecutor.h(115): note: 编译类 模板 成员函数“void Eigen::internal::TensorExecutor<const Assign,Eigen::DefaultDevice,true,true>::run(Expression &,const Eigen::DefaultDevice &)”时
1> with
1> [
1> Expression=const Assign
1> ]

1>d:\tools\tensorflow-win\tensorflow\bazel-tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorExecutor.h(144): error C2661:

Hi Cason,
Thank you so much for this, I notice you only acquire bbox and neglect the masks, how do i acquire the masks?

Hi,
thank you for the great work,
I am trying out this project under linux, I am trying to make the ballon detector run in C++,
I compiled the code without errors but when I run the code I encounter the following problem ,

Assertion `dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions())' failed.
Aborted

I think I am missing some parameter adjustment for my use case, my configuration is the one in balloon.py of maskrcnn example.
Do you know how can I overcome this ?

Hello, I learned a lot from you. After configuring C ++, run your code main.cpp on Windows (without any changes), but the following error occurred:
when i run :
detectBatchTmp.initConfig(detect_size_w, detect_size_h) -> get_anchors() -> inputAnchorsTensor_temp.chip(i,1)=eachrow

If an error occurs, debug is broken, and it appears in the following code.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
eigen_assert(dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions()));
m_leftImpl.evalSubExprsIfNeeded(NULL);
// If the lhs provides raw access to its storage area (i.e. if m_leftImpl.data() returns a non
// null value), attempt to evaluate the rhs expression in place. Returns true iff in place
// evaluation isn't supported and the caller still needs to manually assign the values generated
// by the rhs to the lhs.
return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
}

I'm not familiar with eigen, I can't understand how the code works. Thank you for giving me some suggestions.