car-line-detect/configs/ssd/_base_/ssd_mobilenet_v1_300.yml
2021-06-23 08:58:10 +08:00

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YAML

architecture: SSD
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ssd_mobilenet_v1_coco_pretrained.pdparams
SSD:
backbone: MobileNet
ssd_head: SSDHead
post_process: BBoxPostProcess
MobileNet:
norm_decay: 0.
scale: 1
conv_learning_rate: 0.1
extra_block_filters: [[256, 512], [128, 256], [128, 256], [64, 128]]
with_extra_blocks: true
feature_maps: [11, 13, 14, 15, 16, 17]
SSDHead:
kernel_size: 1
padding: 0
anchor_generator:
steps: [0, 0, 0, 0, 0, 0]
aspect_ratios: [[2.], [2., 3.], [2., 3.], [2., 3.], [2., 3.], [2., 3.]]
min_ratio: 20
max_ratio: 90
base_size: 300
min_sizes: [60.0, 105.0, 150.0, 195.0, 240.0, 285.0]
max_sizes: [[], 150.0, 195.0, 240.0, 285.0, 300.0]
offset: 0.5
flip: true
min_max_aspect_ratios_order: false
BBoxPostProcess:
decode:
name: SSDBox
nms:
name: MultiClassNMS
keep_top_k: 200
score_threshold: 0.01
nms_threshold: 0.45
nms_top_k: 400
nms_eta: 1.0