output both scores and image features
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@@ -327,9 +327,11 @@ class OutfitMaterTypeAware(OutfitMatcher):
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# 输出集
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# 输出集
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outputs = [
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outputs = [
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httpclient.InferRequestedOutput("output__0", binary_data=True),
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httpclient.InferRequestedOutput("output__0", binary_data=True),
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httpclient.InferRequestedOutput("output__1", binary_data=True),
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]
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]
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results = client.infer(model_name="outfit_matcher_type_aware", inputs=inputs, outputs=outputs)
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results = client.infer(model_name="outfit_matcher_type_aware", inputs=inputs, outputs=outputs)
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# 推理
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# 推理
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# 取结果
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# 取结果
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scores = torch.from_numpy(results.as_numpy("output__0"))
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scores = torch.from_numpy(results.as_numpy("output__0")) # Shape (N, 1)
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return scores # Shape (N, 1)
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features = torch.from_numpy(results.as_numpy("output__1")) # Shape (N, -1, 64)
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return scores, features
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