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https://github.com/PaddlePaddle/PaddleOCR.git
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merge dygraph
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+8
-6
@@ -187,7 +187,7 @@ def train(config,
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use_srn = config['Architecture']['algorithm'] == "SRN"
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use_nrtr = config['Architecture']['algorithm'] == "NRTR"
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use_sar = config['Architecture']['algorithm'] == 'SAR'
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try:
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model_type = config['Architecture']['model_type']
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except:
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@@ -215,7 +215,7 @@ def train(config,
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images = batch[0]
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if use_srn:
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model_average = True
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if use_srn or model_type == 'table' or use_nrtr:
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if use_srn or model_type == 'table' or use_nrtr or use_sar:
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preds = model(images, data=batch[1:])
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else:
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preds = model(images)
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@@ -279,7 +279,8 @@ def train(config,
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post_process_class,
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eval_class,
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model_type,
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use_srn=use_srn)
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use_srn=use_srn,
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use_sar=use_sar)
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cur_metric_str = 'cur metric, {}'.format(', '.join(
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['{}: {}'.format(k, v) for k, v in cur_metric.items()]))
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logger.info(cur_metric_str)
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@@ -351,7 +352,8 @@ def eval(model,
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post_process_class,
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eval_class,
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model_type,
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use_srn=False):
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use_srn=False,
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use_sar=False):
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model.eval()
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with paddle.no_grad():
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total_frame = 0.0
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@@ -364,7 +366,7 @@ def eval(model,
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break
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images = batch[0]
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start = time.time()
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if use_srn or model_type == 'table':
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if use_srn or model_type == 'table' or use_sar:
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preds = model(images, data=batch[1:])
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else:
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preds = model(images)
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@@ -400,7 +402,7 @@ def preprocess(is_train=False):
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alg = config['Architecture']['algorithm']
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assert alg in [
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'EAST', 'DB', 'SAST', 'Rosetta', 'CRNN', 'STARNet', 'RARE', 'SRN',
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'CLS', 'PGNet', 'Distillation', 'NRTR', 'TableAttn', 'PSE'
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'CLS', 'PGNet', 'Distillation', 'NRTR', 'TableAttn', 'SAR', 'PSE'
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]
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device = 'gpu:{}'.format(dist.ParallelEnv().dev_id) if use_gpu else 'cpu'
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