sanketgujar

#include <torch/script.h> // One-stop header.

#include <iostream>
#include <memory>

int main(int argc, const char* argv[]) {
  if (argc != 2) {
    std::cerr << "usage: example-app <path-to-exported-script-module>\n";
    return -1;
  }

sanketgujar

Errors     << vehicle_detection:make /home/innoml/catkin_ws/logs/vehicle_detection/build.make.154.log                                                                                                                                 
CMakeFiles/vehicle_detection_node.dir/src/vehicle_detection_node.cpp.o: In function `c10::tensorTypeIdToBackend(c10::TensorTypeId)':
vehicle_detection_node.cpp:(.text+0x177): undefined reference to `c10::CPUTensorId()'
vehicle_detection_node.cpp:(.text+0x1a9): undefined reference to `c10::CUDATensorId()'
vehicle_detection_node.cpp:(.text+0x1db): undefined reference to `c10::HIPTensorId()'
vehicle_detection_node.cpp:(.text+0x20d): undefined reference to `c10::MSNPUTensorId()'
vehicle_detection_node.cpp:(.text+0x23f): undefined reference to `c10::XLATensorId()'
vehicle_detection_node.cpp:(.text+0x271): undefined reference to `c10::SparseCPUTensorId()'
vehicle_detection_node.cpp:(.text+0x2a3): undefined reference to `c10::SparseCUDATensorId()'
vehicle_detection_node.cpp:(.text+0x2d5): 

sanketgujar

+---------------------------+-------------------------------------------------------------------------------+
|        H function         |                              Properties                                       |
+---------------------------+-------------------------------------------------------------------------------+
| H(Xi,Xj) = ΘjXj           |  Classical Euclidean convolution                                              |
| Θ = (Θi,....,Θk)          |                                                                               |
|---------------------------|-------------------------------------------------------------------------------|
| H(Xi,Xj) = H(Xi)          | Encoding global information of the local neighboring structure. (Pointnet)    |                                        
|---------------------------|-------------------------------------------------------------------------------|
| H(Xi,Xj) = H(Xj - Xi)     | Encodes the local information, considering the shape as collection of smal