Run Mask RCNN (matterport) trained model in C++ TensorFlow API. But SAME WRONG values in results











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Use following lines, I could get my output_detections and output_mrcnn_mask



tensorflow::Status run_status = session->Run({ { "input_image", inputTensor },{ "input_image_meta", inputMetadataTensor },{"input_anchors",input_anchors } },

        { "output_detections", "output_mrcnn_class", "output_mrcnn_bbox", "output_mrcnn_mask",

                "output_rois", "output_rpn_class", "output_rpn_bbox" },

        {},

        &outputs);



auto detectionsMap = outputs[0].tensor<float, 3>();

auto y1 = detectionsMap(0, i, 0); float x1 = detectionsMap(0, i, 1); auto y2 = detectionsMap(0, i, 2); float x2 = detectionsMap(0, i, 3) ;


But I always get the following results, no matter which image I have input.




x1 = x2 = 1.00392




I have tried infering with the pb file in Python. The result is the same with the result of C++ except for x1 and x2.



Environment:




  • Windows 10

  • Visual Studio 2015

  • Python 3.5

  • TensorFlow 1.4.0 in Python and C++


PS: I build TensorFlow for Visual Studio using:
(Build a Tensorflow C++ Library)



Does anyone have any idea to fix this problem? Thanks!!!!






python c++ tensorflow deep-learning computer-vision







share|improve this question




























    up vote
    0
    down vote

    favorite












    Use following lines, I could get my output_detections and output_mrcnn_mask



    tensorflow::Status run_status = session->Run({ { "input_image", inputTensor },{ "input_image_meta", inputMetadataTensor },{"input_anchors",input_anchors } },
    
        { "output_detections", "output_mrcnn_class", "output_mrcnn_bbox", "output_mrcnn_mask",
    
                "output_rois", "output_rpn_class", "output_rpn_bbox" },
    
        {},
    
        &outputs);
    

    
auto detectionsMap = outputs[0].tensor<float, 3>();
    
auto y1 = detectionsMap(0, i, 0); float x1 = detectionsMap(0, i, 1); auto y2 = detectionsMap(0, i, 2); float x2 = detectionsMap(0, i, 3) ;


    But I always get the following results, no matter which image I have input.




    x1 = x2 = 1.00392




    I have tried infering with the pb file in Python. The result is the same with the result of C++ except for x1 and x2.



    Environment:




    • Windows 10

    • Visual Studio 2015

    • Python 3.5

    • TensorFlow 1.4.0 in Python and C++


    PS: I build TensorFlow for Visual Studio using:
    (Build a Tensorflow C++ Library)



    Does anyone have any idea to fix this problem? Thanks!!!!






    python c++ tensorflow deep-learning computer-vision







    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Use following lines, I could get my output_detections and output_mrcnn_mask



      tensorflow::Status run_status = session->Run({ { "input_image", inputTensor },{ "input_image_meta", inputMetadataTensor },{"input_anchors",input_anchors } },
      
        { "output_detections", "output_mrcnn_class", "output_mrcnn_bbox", "output_mrcnn_mask",
      
                "output_rois", "output_rpn_class", "output_rpn_bbox" },
      
        {},
      
        &outputs);
      

      
auto detectionsMap = outputs[0].tensor<float, 3>();
      
auto y1 = detectionsMap(0, i, 0); float x1 = detectionsMap(0, i, 1); auto y2 = detectionsMap(0, i, 2); float x2 = detectionsMap(0, i, 3) ;


      But I always get the following results, no matter which image I have input.




      x1 = x2 = 1.00392




      I have tried infering with the pb file in Python. The result is the same with the result of C++ except for x1 and x2.



      Environment:




      • Windows 10

      • Visual Studio 2015

      • Python 3.5

      • TensorFlow 1.4.0 in Python and C++


      PS: I build TensorFlow for Visual Studio using:
      (Build a Tensorflow C++ Library)



      Does anyone have any idea to fix this problem? Thanks!!!!






      python c++ tensorflow deep-learning computer-vision







      share|improve this question















      Use following lines, I could get my output_detections and output_mrcnn_mask



      tensorflow::Status run_status = session->Run({ { "input_image", inputTensor },{ "input_image_meta", inputMetadataTensor },{"input_anchors",input_anchors } },
      
        { "output_detections", "output_mrcnn_class", "output_mrcnn_bbox", "output_mrcnn_mask",
      
                "output_rois", "output_rpn_class", "output_rpn_bbox" },
      
        {},
      
        &outputs);
      

      
auto detectionsMap = outputs[0].tensor<float, 3>();
      
auto y1 = detectionsMap(0, i, 0); float x1 = detectionsMap(0, i, 1); auto y2 = detectionsMap(0, i, 2); float x2 = detectionsMap(0, i, 3) ;


      But I always get the following results, no matter which image I have input.




      x1 = x2 = 1.00392




      I have tried infering with the pb file in Python. The result is the same with the result of C++ except for x1 and x2.



      Environment:




      • Windows 10

      • Visual Studio 2015

      • Python 3.5

      • TensorFlow 1.4.0 in Python and C++


      PS: I build TensorFlow for Visual Studio using:
      (Build a Tensorflow C++ Library)



      Does anyone have any idea to fix this problem? Thanks!!!!






      python c++ tensorflow deep-learning computer-vision




      python c++ tensorflow deep-learning computer-vision






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 15 at 2:12

























      asked Nov 13 at 3:20









      Peter Zeng

      12




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