Inception Tensorflow model c++ error creating input layer with OpenCV4
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I have trained a neural network based on inception v3 from the tensorflow tutorial (https://www.tensorflow.org/hub/tutori...). The network works with tensorflow in c ++ without problems.
I'm trying to load it with OpenCV 4.0 beta. The network is loaded correctly (I use the .pb file) with:
net = cv :: dnn :: readNetFromTensorflow (model);
The problem appears when I do the .forward with an input image, an exception occurs:
Error: Unspecified error (Can not create layer "input / BottleneckInputPlaceholder" of type "PlaceholderWithDefault") in cv :: dnn :: dnn4_v20180917 :: LayerData :: getLayerInstance, file c: build master_winpack-build-win64-vc15 opencv modules dnn src dnn.cpp, line 412
The network entry layer (placeholder) needs the following format type: float32 [?, 299,299.3]
In all the examples I have seen that the input blob is created with cv :: dnn :: blobFromImage.
I'm using this call:
cv :: dnn :: blobFromImage (img, blob, 1.0f / 255.0f, Size (299, 299), Scalar (), true, false);
The blob that generated this call is {FLOAT32, 1 x -1 x -1}, which seems clear that it is not what the network's input layer expects.
What is the correct way to create the entry blob? (entry format is float32 [?, 299,299.3])
Please I need help.
Thanks in advance.
c++ opencv tensorflow
asked Nov 13 at 9:41
SpFloppy
11
add a comment |
up vote
0
down vote
favorite
I have trained a neural network based on inception v3 from the tensorflow tutorial (https://www.tensorflow.org/hub/tutori...). The network works with tensorflow in c ++ without problems.
I'm trying to load it with OpenCV 4.0 beta. The network is loaded correctly (I use the .pb file) with:
net = cv :: dnn :: readNetFromTensorflow (model);
The problem appears when I do the .forward with an input image, an exception occurs:
Error: Unspecified error (Can not create layer "input / BottleneckInputPlaceholder" of type "PlaceholderWithDefault") in cv :: dnn :: dnn4_v20180917 :: LayerData :: getLayerInstance, file c: build master_winpack-build-win64-vc15 opencv modules dnn src dnn.cpp, line 412
The network entry layer (placeholder) needs the following format type: float32 [?, 299,299.3]
In all the examples I have seen that the input blob is created with cv :: dnn :: blobFromImage.
I'm using this call:
cv :: dnn :: blobFromImage (img, blob, 1.0f / 255.0f, Size (299, 299), Scalar (), true, false);
The blob that generated this call is {FLOAT32, 1 x -1 x -1}, which seems clear that it is not what the network's input layer expects.
What is the correct way to create the entry blob? (entry format is float32 [?, 299,299.3])
Please I need help.
Thanks in advance.
c++ opencv tensorflow
asked Nov 13 at 9:41
SpFloppy
11
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have trained a neural network based on inception v3 from the tensorflow tutorial (https://www.tensorflow.org/hub/tutori...). The network works with tensorflow in c ++ without problems.
I'm trying to load it with OpenCV 4.0 beta. The network is loaded correctly (I use the .pb file) with:
net = cv :: dnn :: readNetFromTensorflow (model);
The problem appears when I do the .forward with an input image, an exception occurs:
Error: Unspecified error (Can not create layer "input / BottleneckInputPlaceholder" of type "PlaceholderWithDefault") in cv :: dnn :: dnn4_v20180917 :: LayerData :: getLayerInstance, file c: build master_winpack-build-win64-vc15 opencv modules dnn src dnn.cpp, line 412
The network entry layer (placeholder) needs the following format type: float32 [?, 299,299.3]
In all the examples I have seen that the input blob is created with cv :: dnn :: blobFromImage.
I'm using this call:
cv :: dnn :: blobFromImage (img, blob, 1.0f / 255.0f, Size (299, 299), Scalar (), true, false);
The blob that generated this call is {FLOAT32, 1 x -1 x -1}, which seems clear that it is not what the network's input layer expects.
What is the correct way to create the entry blob? (entry format is float32 [?, 299,299.3])
Please I need help.
Thanks in advance.
c++ opencv tensorflow
asked Nov 13 at 9:41
SpFloppy
11
I have trained a neural network based on inception v3 from the tensorflow tutorial (https://www.tensorflow.org/hub/tutori...). The network works with tensorflow in c ++ without problems.
I'm trying to load it with OpenCV 4.0 beta. The network is loaded correctly (I use the .pb file) with:
net = cv :: dnn :: readNetFromTensorflow (model);
The problem appears when I do the .forward with an input image, an exception occurs:
Error: Unspecified error (Can not create layer "input / BottleneckInputPlaceholder" of type "PlaceholderWithDefault") in cv :: dnn :: dnn4_v20180917 :: LayerData :: getLayerInstance, file c: build master_winpack-build-win64-vc15 opencv modules dnn src dnn.cpp, line 412
The network entry layer (placeholder) needs the following format type: float32 [?, 299,299.3]
In all the examples I have seen that the input blob is created with cv :: dnn :: blobFromImage.
I'm using this call:
cv :: dnn :: blobFromImage (img, blob, 1.0f / 255.0f, Size (299, 299), Scalar (), true, false);
The blob that generated this call is {FLOAT32, 1 x -1 x -1}, which seems clear that it is not what the network's input layer expects.
What is the correct way to create the entry blob? (entry format is float32 [?, 299,299.3])
Please I need help.
Thanks in advance.
c++ opencv tensorflow
c++ opencv tensorflow
asked Nov 13 at 9:41
SpFloppy
11
asked Nov 13 at 9:41
SpFloppy
11
asked Nov 13 at 9:41
SpFloppy
11
asked Nov 13 at 9:41
SpFloppy
11
asked Nov 13 at 9:41
SpFloppy
11
11
add a comment |
add a comment |
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