I working on a project to stream video with real time object detection on a web server inside a RPi. I've had some good success with the caffe implementation of mobilenet which you can see here https://github.com/HanYangZhao/NCS-Pi-Stream. I've since tried with the tensorflow version of mobilnets, but it does not seem to work.
What i've done so far:
make compile DEPTH=1.0 IMGSIZE=224
It seems that the object returned by the handle.GetResults() function is different than the one in Caffe implementation(different length) Am I correct? Is there a guide on how to process this object?
@bobthesheep I could be wrong, but I think you may have mixed up the networks (object detectors and image classifiers).
When you are saying that the tensor "returned by the handle.GetResults() function is different than the one in Caffe implementation", are you referring to this network mobilenets?
The network being used in the github repository you linked (https://github.com/HanYangZhao/NCS-Pi-Stream) is SSD MobileNet and the network you may be referring to is MobileNet (TensorFlow).
The difference is that MobileNet is an image classifier and SSD MobileNet is an object detector.
With respect to SSD MobileNet for TensorFlow, the current NCSDK (1.12) does not have support for this network yet.