Wang, Mengni

Want to get preprocess details & accuracy of some models

3

I found there are some models lack data preprocess details and even accuracy info, such as https://github.com/onnx/models/tree/master/vision/classification/inception_and_googlenet/inception_v2 Where can I get these details to reproduce results?

# EfficientNet-Lite4 ## Use Cases EfficientNet-Lite4 is an image classification model that achieves state-of-the-art accuracy. It is designed to run on mobile CPU, GPU, and EdgeTPU devices, allowing for applications...

Release bug fix

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Signed-off-by: Mengni Wang ## Type of Change bug fix ## Description detail description JIRA ticket: https://jira.devtools.intel.com/browse/ILITV-2529

Signed-off-by: Mengni Wang ## Type of Change doc

## Type of Change doc ## Description adaptor/ox_utils

Update onnx example for new API

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Signed-off-by: mengniwa ## Type of Change example update ## How has this PR been tested? extension test

Support FP16 for onnxrt adaptor

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## Type of Change feature ## Description Support FP16 for onnxrt adaptor

# Bug Report ### Which model does this pertain to? https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/retinanet https://github.com/onnx/models/tree/main/text/machine_comprehension/roberta ### Describe the bug For retinanet, with preprocess and postprocess code in readme, I can't get mAP 0.376....

Fix onnxrt calibration issue

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## Type of Change bug fix ## Description Fix onnxrt calibration issue ## Expected Behavior & Potential Risk the expected behavior that triggered by this PR ## How has this...

Fix code_detection example export issue

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## Type of Change bug fix ## Description Fix code_detection example export issue ## Expected Behavior & Potential Risk the expected behavior that triggered by this PR ## How has...