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Hi guys,
You can find announced in 2019 R1 OpenVINO™ Calibration Tool sample configuration files in attached ZIP.
ZIP file includes
- definitions.yml - definition file
- inception_v1.yml - configuration file for Tensorflow* Inception v1 model
- ssd_mobilenet_v1_coco.yml - configuration file for Tensorflow* SSD Mobilenet v1 model
- unet2d.yml - configuration file for Unet2D mode in in OpenVINO* Inference Engine Intermediate Representation format
Let me know if you have any questions.
Best regards, Edward
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May I ask since the configuration files available inside openVINO are so limited, how can I get the configuration file for other model for example SSD MobileNetV2?
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And for custom models that don't have config files yet, here is the workflow for handling this:
- Convert annotation of your dataset. Use one of the converters from annotation-converters, or write your own if there is no converter for your dataset. You can find detailed instruction how to use converters in Annotation Conversion Guide.
- Choose one of adapters or write your own. Adapter converts raw output produced by framework to high level problem specific representation (e.g. ClassificationPrediction, DetectionPrediction, etc).
- Reproduce preprocessing, metrics and postprocessing from canonical paper.
- Create entry in config file and execute.

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