https://software.intel.com/en-us/forums/computer-vision/topic/785538
"The problem has been resolved. It's because the model I use uses channels_first as default for GPU training, while OPENVINO requires channels_last for TF models."
What do these mean?
How can I change them?
I cannot find any further references to this on the net.
Channels first means that in a specific tensor (consider a photo), you would have (Number_Of_Channels, Height , Width).
Channels last means channels are on the last position in a tensor(n-dimensional array).
Examples:
(3,360,720) --- Channels first
(360,720,3) --- Channels last
where 3 comes from RGB (coloured image).
TensorFlow has by default channels last setting in the configuration.
The issue comes from the fact that some obsolete now frameworks(such as Theano) had a channels-first approach; porting was a problem particularly for newbies.
The solution to your problem would be to re-train your model in "Channels_Last" format.
You can convert TF model with NCHW layout to IR by using --disable_nhwc_to_nchw with Model Optimizer.
NCHW - channel first
NHWC - channel last
N:batch_size, C:no.of.channels, H:input_img_height, W:input_img_width
by default MKLDNN-plugin uses NCHW data layout.