Can't find a DetectionOutput layer in the topology of a customvision.ai Object Detection onnx model

[Velasco__Sergio]

Hi, i'm trying to run the C++ object_detection_sample_ssd project with my custom onnx model from Microsoft Azure Custom Vision portal.
Is an Object Detection model with 27 labels that uses an image as input.

When I run the Object Detection C++ Sample SSD project using the optimized model with this command:

object_detection_sample_ssd -i C:\...\x.jpg -m C:\...\model.xml -d CPU

I get this error:

[ INFO ] InferenceEngine:
        API version ............ 2.1
        Build .................. 42025
        Description ....... API
Parsing input parameters
[ INFO ] Files were added: 1
[ INFO ]     C:\...\x.jpg
[ INFO ] Loading Inference Engine
[ INFO ] Device info:
        CPU
        MKLDNNPlugin version ......... 2.1
        Build ........... 42025
[ INFO ] Loading network files:
        C:\...\model.xml
        C:\...\model.bin
[ INFO ] Preparing input blobs
[ INFO ] Batch size is 1
[ INFO ] Preparing output blobs
[ ERROR ] Can't find a DetectionOutput layer in the topology

In Netron, an open source viewer for neural networks, I can see this:

MODEL PROPERTIES
format
    ONNX v3
domain
    onnxml
imports
    ai.onnx v7

INPUTS
data
    name: data
    type: float32[None,3,416,416]
    denotation: Image(Bgr8)
    Image(s) in BGR format. It is a [N, C, H, W]-tensor.
    The 1st/2nd/3rd slices along the C-axis are blue, green, and red channels, respectively.

OUTPUTS
model_outputs0
    name: model_outputs0
    type: float32[None,None2,13,13]

Is there something I am doing wrong?
Is it the right sample to test my model?

All clues are welcome.

Thanks in advance.

[Munesh_Intel]

Hi Sergio,

Since you have posted the same question in another thread, I will proceed to close this thread. 

Further communication/queries are to be posted to Thread 856667.

https://software.intel.com/en-us/forums/intel-distribution-of-openvino-toolkit/topic/856667

Regards,

Munesh