OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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18 lines
668 B
18 lines
668 B
_base_ = 'retinanet_pvtv2-b0_fpn_1x_coco.py' |
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model = dict( |
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backbone=dict( |
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embed_dims=64, |
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num_layers=[3, 8, 27, 3], |
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init_cfg=dict(checkpoint='https://github.com/whai362/PVT/' |
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'releases/download/v2/pvt_v2_b4.pth')), |
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neck=dict(in_channels=[64, 128, 320, 512])) |
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# optimizer |
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optimizer = dict( |
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_delete_=True, type='AdamW', lr=0.0001 / 1.4, weight_decay=0.0001) |
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# dataset settings |
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data = dict(samples_per_gpu=1, workers_per_gpu=1) |
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# NOTE: `auto_scale_lr` is for automatically scaling LR, |
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# USER SHOULD NOT CHANGE ITS VALUES. |
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# base_batch_size = (8 GPUs) x (1 samples per GPU) |
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auto_scale_lr = dict(base_batch_size=8)
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