Update with Tensor constructor from dimensions in aidge_core

include/aidge/backend/opencv/utils/Utils.hpp

@@ -16,6 +16,8 @@
 #include <memory>
 #include <tuple>
 #include <vector>
+#include <cstring>
+#include <string> 
 
 #include "aidge/data/Data.hpp"
 #include "aidge/data/Tensor.hpp"

src/utils/Utils.cpp

@@ -68,9 +68,11 @@ std::shared_ptr<Aidge::Tensor> Aidge::tensorOpencv(cv::Mat mat) {
     Aidge::DataType type;
     type = CVtoAidge(mat.depth());
     // Create tensor from the dims of the Cv::Mat
-    std::shared_ptr<Tensor> tensor = std::make_shared<Tensor>(matDims,type);
+    std::shared_ptr<Tensor> tensor = std::make_shared<Tensor>(matDims);
     // Set beackend opencv
     tensor->setBackend("opencv");
+    // Set datatype
+    tensor->setDataType(type);
 
     // Cast the tensorImpl to access setCvMat function
     TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(tensor->getImpl().get());
@@ -94,7 +96,7 @@ void Aidge::convert(const cv::Mat& mat, void* data, std::size_t offset)
 
 std::shared_ptr<Aidge::Tensor> Aidge::convertCpu(std::shared_ptr<Aidge::Tensor> tensorOpencv){
     // Assert the tensorOpencv is backend Opencv
-    assert(std::strcmp(tensorOpencv->getImpl()->backend(), "opencv") == 0 && "Cannot convert tensor backend from opencv to cpu : tensor is not backend opencv.");
+    assert(std::strcmp(tensorOpencv->getImpl()->backend().c_str(), "opencv") == 0 && "Cannot convert tensor backend from opencv to cpu : tensor is not backend opencv.");
 
     //  Create a tensor backend cpu from the dimensions of the tensor backend opencv
     std::shared_ptr<Aidge::Tensor> tensorCpu = std::make_shared<Aidge::Tensor>(tensorOpencv->dims());