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https://github.com/open-mmlab/mmyolo.git
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e4080f8870
* add ppyoloe backbone, neck * add ppyoloe test * add docstring * add ppyoloe m/l/x configfile * add ppyoloe_coco.py * rename config * add typehint * format repvgg * format code; add ut * add doc; use mmdet.DropBlock * add doc, format code, add non-plus config * format code * format code * format code * format code * format code * format code
16 lines
421 B
Python
16 lines
421 B
Python
_base_ = './ppyoloe_s_fast_8xb32-300e_coco.py'
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deepen_factor = 0.67
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widen_factor = 0.75
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# TODO: training on ppyoloe need to be implemented.
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train_batch_size_per_gpu = 28
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model = dict(
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backbone=dict(deepen_factor=deepen_factor, widen_factor=widen_factor),
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neck=dict(
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deepen_factor=deepen_factor,
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widen_factor=widen_factor,
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),
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bbox_head=dict(head_module=dict(widen_factor=widen_factor)))
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