Update weights

model/table-det/config.py

@@ -153,7 +153,7 @@ test_pipeline = [
                    'scale_factor'))
 ]
 train_dataloader = dict(
-    batch_size=8,
+    batch_size=5,
     num_workers=2,
     persistent_workers=True,
     sampler=dict(type='DefaultSampler', shuffle=True),
@@ -239,7 +239,7 @@ test_evaluator = dict(
     metric=['bbox', 'segm'],
     format_only=False,
     backend_args=None)
-train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=70, val_interval=5)
+train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=10, val_interval=5)
 val_cfg = dict(type='ValLoop')
 test_cfg = dict(type='TestLoop')
 param_scheduler = [
@@ -262,7 +262,7 @@ default_hooks = dict(
     timer=dict(type='IterTimerHook'),
     logger=dict(type='LoggerHook', interval=50),
     param_scheduler=dict(type='ParamSchedulerHook'),
-    checkpoint=dict(type='CheckpointHook', interval=5),
+    checkpoint=dict(type='CheckpointHook', interval=1),
     sampler_seed=dict(type='DistSamplerSeedHook'),
     visualization=dict(type='DetVisualizationHook'))
 env_cfg = dict(
@@ -276,8 +276,8 @@ visualizer = dict(
     name='visualizer')
 log_processor = dict(type='LogProcessor', window_size=50, by_epoch=True)
 log_level = 'INFO'
-load_from = None
-resume = True
+load_from = 'https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco_bbox_mAP-0.408__segm_mAP-0.37_20200504_163245-42aa3d00.pth'
+resume = False
 metainfo = dict(classes=('Table', ), palette=[(220, 20, 60)])
 launcher = 'none'
 work_dir = './work_dirs/vote-config'

model/table-det/model.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc857b4c227cf5ee04c66fc6909cb4d63dd19f412cec20721e1d79b0b9fb242e
-size 351847113
+oid sha256:472e114e2f309750bf6eba3ebdb6772ac0ace21278a5bfea45929bbc25dd453f
+size 351231561