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Merge branch 'whole_chain' of https://github.com/RainFrost1/PaddleClas into whole_chain
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commit
a7b0b49726
@ -37,22 +37,25 @@ class RecPredictor(Predictor):
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self.postprocess = build_postprocess(config["RecPostProcess"])
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self.benchmark = config["Global"].get("benchmark", False)
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import auto_log
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pid = os.getpid()
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self.auto_logger = auto_log.AutoLogger(
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model_name=config["Global"].get("model_name", "rec"),
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model_precision='fp16' if config["Global"]["use_fp16"] else 'fp32',
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batch_size=config["Global"].get("batch_size", 1),
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data_shape=[3, 224, 224],
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save_path=config["Global"].get("save_log_path", "./auto_log.log"),
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inference_config=self.config,
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pids=pid,
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process_name=None,
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gpu_ids=None,
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time_keys=[
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'preprocess_time', 'inference_time', 'postprocess_time'
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],
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warmup=2)
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if self.benchmark:
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import auto_log
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pid = os.getpid()
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self.auto_logger = auto_log.AutoLogger(
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model_name=config["Global"].get("model_name", "rec"),
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model_precision='fp16'
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if config["Global"]["use_fp16"] else 'fp32',
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batch_size=config["Global"].get("batch_size", 1),
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data_shape=[3, 224, 224],
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save_path=config["Global"].get("save_log_path",
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"./auto_log.log"),
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inference_config=self.config,
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pids=pid,
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process_name=None,
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gpu_ids=None,
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time_keys=[
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'preprocess_time', 'inference_time', 'postprocess_time'
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],
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warmup=2)
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def predict(self, images, feature_normalize=True):
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input_names = self.paddle_predictor.get_input_names()
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