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# model settings | |
input_size = 300 | |
model = dict( | |
type='SingleStageDetector', | |
pretrained='open-mmlab://vgg16_caffe', | |
backbone=dict( | |
type='SSDVGG', | |
input_size=input_size, | |
depth=16, | |
with_last_pool=False, | |
ceil_mode=True, | |
out_indices=(3, 4), | |
out_feature_indices=(22, 34), | |
l2_norm_scale=20), | |
neck=None, | |
bbox_head=dict( | |
type='SSDHead', | |
in_channels=(512, 1024, 512, 256, 256, 256), | |
num_classes=80, | |
anchor_generator=dict( | |
type='SSDAnchorGenerator', | |
scale_major=False, | |
input_size=input_size, | |
basesize_ratio_range=(0.15, 0.9), | |
strides=[8, 16, 32, 64, 100, 300], | |
ratios=[[2], [2, 3], [2, 3], [2, 3], [2], [2]]), | |
bbox_coder=dict( | |
type='DeltaXYWHBBoxCoder', | |
target_means=[.0, .0, .0, .0], | |
target_stds=[0.1, 0.1, 0.2, 0.2])), | |
train_cfg=dict( | |
assigner=dict( | |
type='MaxIoUAssigner', | |
pos_iou_thr=0.5, | |
neg_iou_thr=0.5, | |
min_pos_iou=0., | |
ignore_iof_thr=-1, | |
gt_max_assign_all=False), | |
smoothl1_beta=1., | |
allowed_border=-1, | |
pos_weight=-1, | |
neg_pos_ratio=3, | |
debug=False), | |
test_cfg=dict( | |
nms_pre=1000, | |
nms=dict(type='nms', iou_threshold=0.45), | |
min_bbox_size=0, | |
score_thr=0.02, | |
max_per_img=200)) | |
cudnn_benchmark = True | |