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sacred config for faster rcnn #1358

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Jul 8, 2020
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lint
  • Loading branch information
Jerryzcn committed Jun 30, 2020
commit c85b928605c9ef12d34ed47a7fd3c47fc2f9d897
4 changes: 2 additions & 2 deletions gluoncv/model_zoo/rcnn/rcnn.py
Original file line number Diff line number Diff line change
Expand Up @@ -328,8 +328,8 @@ def custom_rcnn_fpn(pretrained_base=True, base_network_name='resnet18_v1b', norm
elif base_network_name == 'resnest50':
from ...model_zoo.resnest import resnest50
base_network = resnest50(pretrained=pretrained_base, dilated=False,
use_global_stats=use_global_stats, norm_layer=norm_layer,
norm_kwargs=norm_kwargs)
use_global_stats=use_global_stats, norm_layer=norm_layer,
norm_kwargs=norm_kwargs)
fpn_inputs_names = ['layers1_relu11_fwd', 'layers2_relu15_fwd', 'layers3_relu23_fwd',
'layers4_relu11_fwd']
elif base_network_name == 'resnest101':
Expand Down
5 changes: 2 additions & 3 deletions gluoncv/pipelines/estimators/rcnn/faster_rcnn.py
Original file line number Diff line number Diff line change
Expand Up @@ -90,8 +90,8 @@ def _get_dataloader(net, train_dataset, val_dataset, train_transform, val_transf


def _get_testloader(net, test_dataset, num_devices, config):
"""Get faster rcnn test dataloader."""
if config.meta_arch == 'faster_rcnn':
"""Get faster rcnn dataloader."""
test_bfn = Tuple(*[Append() for _ in range(3)])
short = net.short[-1] if isinstance(net.short, (tuple, list)) else net.short
# validation use 1 sample per device
Expand Down Expand Up @@ -488,10 +488,9 @@ def load_parameters(self, parameters, multi_precision=False):
param_dict = self.net._collect_params_with_prefix()
kwargs = {'ctx': None} if mx.__version__[:3] == '1.4' else {'cast_dtype': multi_precision,
'ctx': None}
for k, v in param_dict.items():
for k, _ in param_dict.items():
param_dict[k]._load_init(parameters[k], **kwargs)

def get_parameters(self):
"""Return model parameters"""
return self.net._collect_params_with_prefix()