modify rec saved model dir

configs/rec/rec_mv3_none_bilstm_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_CRNN
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_mv3_none_none_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_Rosetta
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_mv3_tps_bilstm_attn.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_RARE
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_mv3_tps_bilstm_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_STARNet
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_r34_vd_none_bilstm_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_CRNN
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_r34_vd_none_none_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_Rosetta
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_r34_vd_tps_bilstm_attn.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_RARE
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

configs/rec/rec_r34_vd_tps_bilstm_ctc.yml

@@ -4,7 +4,7 @@ Global:
   epoch_num: 72
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: output/rec
+  save_model_dir: output/rec_STARNet
   save_epoch_step: 3
   eval_batch_step: 2000
   train_batch_size_per_card: 256

tools/program.py

@@ -284,9 +284,7 @@ def train_eval_rec_run(config, exe, train_info_dict, eval_info_dict):
     eval_batch_step = config['Global']['eval_batch_step']
     save_epoch_step = config['Global']['save_epoch_step']
     save_model_dir = config['Global']['save_model_dir']
-    if save_model_dir[-1] == "/":
-        save_model_dir = save_model_dir[:-1]
-    if not os.path.exists(save_model_dir + config['Global']['algorithm']):
+    if not os.path.exists(save_model_dir):
         os.makedirs(save_model_dir)
     train_stats = TrainingStats(log_smooth_window, ['loss', 'acc'])
     best_eval_acc = -1