70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
_base_ = [
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'../_base_/models/ssd300.py', '../_base_/datasets/voc0712.py',
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'../_base_/default_runtime.py'
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]
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model = dict(
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bbox_head=dict(
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num_classes=20, anchor_generator=dict(basesize_ratio_range=(0.2,
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0.9))))
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# dataset settings
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dataset_type = 'VOCDataset'
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data_root = 'data/VOCdevkit/'
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img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[1, 1, 1], to_rgb=True)
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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='LoadAnnotations', with_bbox=True),
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dict(
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type='Expand',
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mean=img_norm_cfg['mean'],
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to_rgb=img_norm_cfg['to_rgb'],
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ratio_range=(1, 4)),
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dict(
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type='MinIoURandomCrop',
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min_ious=(0.1, 0.3, 0.5, 0.7, 0.9),
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min_crop_size=0.3),
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dict(type='Resize', img_scale=(300, 300), keep_ratio=False),
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dict(type='RandomFlip', flip_ratio=0.5),
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dict(
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type='PhotoMetricDistortion',
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brightness_delta=32,
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contrast_range=(0.5, 1.5),
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saturation_range=(0.5, 1.5),
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hue_delta=18),
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dict(type='Normalize', **img_norm_cfg),
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dict(type='DefaultFormatBundle'),
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dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']),
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]
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(
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type='MultiScaleFlipAug',
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img_scale=(300, 300),
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flip=False,
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transforms=[
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dict(type='Resize', keep_ratio=False),
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dict(type='Normalize', **img_norm_cfg),
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dict(type='ImageToTensor', keys=['img']),
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dict(type='Collect', keys=['img']),
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])
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]
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data = dict(
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samples_per_gpu=8,
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workers_per_gpu=3,
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train=dict(
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type='RepeatDataset', times=10, dataset=dict(pipeline=train_pipeline)),
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val=dict(pipeline=test_pipeline),
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test=dict(pipeline=test_pipeline))
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# optimizer
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optimizer = dict(type='SGD', lr=1e-3, momentum=0.9, weight_decay=5e-4)
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optimizer_config = dict()
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# learning policy
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lr_config = dict(
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policy='step',
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warmup='linear',
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warmup_iters=500,
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warmup_ratio=0.001,
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step=[16, 20])
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checkpoint_config = dict(interval=1)
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# runtime settings
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runner = dict(type='EpochBasedRunner', max_epochs=24)
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