I just trained my own object detection model in Tensorflow using the ssd_mobilenet_v1_coco model pre-trained checkpoint to train my own labeled data and make my own frozen inference graph. I know in the openVINO Model Optimizer certain parameters such as scale_values and mean_values must be set to maintain the accuracy of a model.
Where/how would I go about finding these values to make my IR as accurate as possible? Are there generic values for ssd_mobilenet that will make an IR more accurate, or do I need to look at my Graph in Tensorboard where I did my own training?
I forgot to post that my problem was solved. There was a big in the MO for ssd_mobilenet object detection models. I was sent the R3 version of OpenVINO and now my model runs fine.