mirror of https://github.com/JDAI-CV/fast-reid.git
parent
74a6938289
commit
1f4e4909eb
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@ -70,16 +70,16 @@ class FeatureExtractionDemo(object):
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if cnt >= buffer_size:
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batch = batch_data.popleft()
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predictions = self.predictor.get()
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yield predictions, batch["targets"].numpy(), batch["camid"].numpy()
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yield predictions, batch["targets"].numpy(), batch["camids"].numpy()
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while len(batch_data):
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batch = batch_data.popleft()
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predictions = self.predictor.get()
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yield predictions, batch["targets"].numpy(), batch["camid"].numpy()
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yield predictions, batch["targets"].numpy(), batch["camids"].numpy()
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else:
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for batch in data_loader:
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predictions = self.predictor(batch["images"])
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yield predictions, batch["targets"].numpy(), batch["camid"].numpy()
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yield predictions, batch["targets"].numpy(), batch["camids"].numpy()
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class AsyncPredictor:
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