Instanciate the tensor opencv from cv::mat using the generic function

include/aidge/backend/opencv/stimuli/StimuliImpl_opencv_imread.hpp

@@ -18,11 +18,13 @@
 
 #include "opencv2/core.hpp"
 #include <opencv2/imgcodecs.hpp>
+
 #include "aidge/data/Data.hpp"
 #include "aidge/data/Tensor.hpp"
 #include "aidge/backend/StimuliImpl.hpp"
 #include "aidge/stimuli/Stimuli.hpp"
 #include "aidge/backend/opencv/data/TensorImpl.hpp"
+#include "aidge/backend/opencv/utils/Utils.hpp"
 
 
 namespace Aidge {

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

@@ -26,7 +26,7 @@
 namespace Aidge {
 
     /**
-     * @brief Instanciate an aidge tensor with backend "opencv" containing an opencv matrix
+     * @brief Instanciate an aidge tensor with backend "opencv" from an opencv matrix
      * 
      * @param mat the cv::mat to instanciate the tensor from
      * @return std::shared_ptr<Tensor> aidge tensor

src/operator/StimulImpl_opencv_imread.cpp

 #include "aidge/backend/opencv/stimuli/StimuliImpl_opencv_imread.hpp"
 
 std::shared_ptr<Aidge::Tensor> Aidge::StimuliImpl_opencv_imread::load() {
-    cv::Mat cv_img = cv::imread(mDataPath, mColorFlag);
-    if (cv_img.empty()) {
+    cv::Mat cvImg = cv::imread(mDataPath, mColorFlag);
+    if (cvImg.empty()) {
         throw std::runtime_error("Could not open images file: " + mDataPath);
     }
-    // Get Mat dims
-    std::vector<DimSize_t> matDims = std::vector<DimSize_t>({static_cast<DimSize_t>(cv_img.cols),
-                                                            static_cast<DimSize_t>(cv_img.rows),
-                                                            static_cast<DimSize_t>(cv_img.channels())});
 
-    // Create tensor from the dims of the Cv::Mat
-    std::shared_ptr<Tensor> img = std::make_shared<Tensor>(matDims);
-    // Set beackend opencv 
-    img->setBackend("opencv");
-    // Set Data Type 
-    img->setDataType(DataType::UInt8);
-
-    // Cast the tensorImpl to access setCvMat function
-    TensorImpl_opencv_* tImpl_opencv = dynamic_cast<TensorImpl_opencv_*>(img->getImpl().get());
-    tImpl_opencv->setCvMat(cv_img);
-
-    return img;
+    return tensorOpencv(cvImg);
 }