Update weights

model/text-det/psenet.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8575eddcbed1c0a1151817ef05bb2df11a27979ea1f4a61fde5bbecd0c3e2595
-size 352447333
+oid sha256:f60596dbe0b716a90a83cbd8b70a4761980bde06567acdd23c88fc4ca3b922e8
+size 351856997

model/text-det/psenet.py

@@ -147,7 +147,7 @@ default_hooks = dict(
     timer=dict(type='IterTimerHook'),
     logger=dict(type='LoggerHook', interval=100),
     param_scheduler=dict(type='ParamSchedulerHook'),
-    checkpoint=dict(type='CheckpointHook', interval=10),
+    checkpoint=dict(type='CheckpointHook', interval=5),
     sampler_seed=dict(type='DistSamplerSeedHook'),
     sync_buffer=dict(type='SyncBuffersHook'),
     visualization=dict(
@@ -158,7 +158,7 @@ default_hooks = dict(
         draw_gt=False,
         draw_pred=False))
 log_level = 'INFO'
-log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True)
+log_processor = dict(type='LogProcessor', window_size=100, by_epoch=True)
 load_from = None
 resume = True
 val_evaluator = dict(type='HmeanIOUMetric')
@@ -171,7 +171,7 @@ visualizer = dict(
 max_epochs = 200
 optim_wrapper = dict(
     type='OptimWrapper', optimizer=dict(type='Adam', lr=0.001))
-train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=30, val_interval=10)
+train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=50, val_interval=20)
 val_cfg = dict(type='ValLoop')
 test_cfg = dict(type='TestLoop')
 param_scheduler = [dict(type='PolyLR', power=0.9, end=200)]