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model = dict( type='CascadeRCNN', num_stages=3, pretrained='torchvision://resnet50', backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, style='pytorch', dcn=dict( modulated=False, deformable_groups=1, fallback_on_stride=False), stage_with_dcn=(False, True, True, True), ),
The text was updated successfully, but these errors were encountered:
I used the default setting in mmdetection. According to my experience , frozen the first stage can achieve better results.
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model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch',
dcn=dict(
modulated=False, deformable_groups=1, fallback_on_stride=False),
stage_with_dcn=(False, True, True, True),
),
The text was updated successfully, but these errors were encountered: