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  1. README.md +3 -3
  2. models/deeplabv3_mnv2_nchw/README.md +9 -0
  3. models/deeplabv3_mnv2_nchw/weights/const_fold_opt__441.npy +3 -0
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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
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+ # WebNN Test Data
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+
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+ This repository hosts the reusable model weights and other test data for Web Neural Network API [test cases](https://github.com/webmachinelearning/webnn-polyfill/tree/master/test) and [samples](https://github.com/webmachinelearning/webnn-samples).
models/deeplabv3_mnv2_nchw/README.md ADDED
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+ `.npy` files under this folder are downloaded from ONNX model of DeepLab V3 MoblieNet V2 generated by following commands, which is licensed under the Apache 2.0.
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+
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+ ### How to Generate DeepLab V3 MobileNet V2 ONNX model
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+
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+ Following this [guide](../deeplabv3_mnv2_nhwc#how-to-generate-deeplab-v3-mobilenet-v2-tflite-model) to generate the DeepLab V3 MoblieNet V2 TFLite model, then use ['tf2onnx'](https://github.com/onnx/tensorflow-onnx) tool to convert TFLite model to ONNX model:
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+
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+ ```
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+ python3 -m tf2onnx.convert --opset 13 --tflite deeplab_mobilenetv2.tflite --output deeplab_mobilenetv2.onnx
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+ ```
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