modify rec saved model dir
parent
8007a95528
commit
9126cb6fb9
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_CRNN
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_Rosetta
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_RARE
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_STARNet
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_CRNN
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_Rosetta
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_RARE
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -4,7 +4,7 @@ Global:
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: output/rec
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save_model_dir: output/rec_STARNet
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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@ -284,9 +284,7 @@ def train_eval_rec_run(config, exe, train_info_dict, eval_info_dict):
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eval_batch_step = config['Global']['eval_batch_step']
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save_epoch_step = config['Global']['save_epoch_step']
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save_model_dir = config['Global']['save_model_dir']
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if save_model_dir[-1] == "/":
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save_model_dir = save_model_dir[:-1]
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if not os.path.exists(save_model_dir + config['Global']['algorithm']):
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if not os.path.exists(save_model_dir):
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os.makedirs(save_model_dir)
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train_stats = TrainingStats(log_smooth_window, ['loss', 'acc'])
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best_eval_acc = -1
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