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Subject [GitHub] [singa] agnesnatasya opened a new pull request #711: Implement Squeezenet using Squeezenet1.1
Date Wed, 27 May 2020 16:36:18 GMT

agnesnatasya opened a new pull request #711:
URL: https://github.com/apache/singa/pull/711


   Implemented Squeezenet model using Squeezenet1.1 model in ONNX model zoo. 
   As compared to the inference here https://github.com/onnx/models/blob/master/vision/classification/imagenet_inference.ipynb
, which resizes the image to 256 and crop the 224 in the center, I resized the image to 224
and take all these 224 pixels as an input to the model. It gave different result when I tried
these 2 approaches, but the second one gives more similar result. Thus, I choose the second
one. Is there any significant impact of this difference?


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