Run Mask RCNN (matterport) trained model in C++ TensorFlow API. But SAME WRONG values in results
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
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
add a comment |
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
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
add a comment |
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
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
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
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
edited Nov 15 '18 at 2:12
Peter Zeng
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
asked Nov 13 '18 at 3:20
Peter ZengPeter Zeng
12
12
add a comment |
add a comment |
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