DL workbench gives accuracy 0 for my faster rcnn inception v2 coco tensorflow object detection model v 1.15. Please help with the Configuration for Accuracy setting , I tried calculating accuracy for an ssd mobilenet v2 coco model and the accuracy is 86% but 0 in the case of faster rcnn inception v2 coco tensorflow object detection model.
I have attached the screenshot of the DL workbench
I have gone through this link but still accuracy is 0 https://docs.openvinotoolkit.org/latest/workbench_docs_Workbench_DG_Configure_Accuracy_Settings.html
You may try this as a workaround: https://docs.openvinotoolkit.org/latest/workbench_docs_Workbench_DG_Int_8_Quantization.html
Thank you for the response.
Same as what I replied to your other thread, I really appreciate if you could attach your frozen model graph and also your dataset , so that I could replicate.
Intel will no longer monitor this thread since we have provided a solution. If you need any additional information from Intel, please submit a new question
Hi @raushan ,
We have answered your question in another thread: https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/DL-workbench-accuracy-tool-is-failing/...
If you have any additional questions or proposals, please ask them via the official DL Workbench Discussion Forum.