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ssdlite.yaml
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50 lines (50 loc) · 992 Bytes
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data:
colormode: RGB
inference:
normalize_images: true
train:
affine:
p: 0.5
rotation: 30
scaling: [ 1.0, 1.0 ]
translation: 40
collate:
type: ResizeFromDataSizeCollate
min_scale: 0.4
max_scale: 1.0
min_short_side: 128
max_short_side: 1152
multiple_of: 32
to_square: false
hflip: true
normalize_images: true
device: auto
model:
type: SSDLite
box_score_thresh: 0.6
freeze_bn_stats: true
freeze_bn_weights: false
runner:
type: DetectorTrainingRunner
key_metric: "test.mAP@50:95"
key_metric_asc: true
eval_interval: 10
optimizer:
type: AdamW
params:
lr: 1e-5
scheduler:
type: LRListScheduler
params:
milestones: [ 90 ]
lr_list: [ [ 1e-6 ] ]
snapshots:
max_snapshots: 5
save_epochs: 25
save_optimizer_state: false
train_settings:
batch_size: 8
dataloader_workers: 0
dataloader_pin_memory: false
display_iters: 500
epochs: 250