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- Add golf1/2/4/7/8 dataset classes for semantic segmentation - Add kneron-specific configs (meconfig series, kn_stdc1_golf4class) - Organize scripts into tools/check/ and tools/kneron/ - Add kneron_preprocessing module - Update README with quick-start guide - Update .gitignore to exclude data dirs, onnx, nef outputs Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
18 lines
522 B
Python
18 lines
522 B
Python
checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/stdc/stdc1_20220308-5368626c.pth' # noqa
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_base_ = [
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'../_base_/models/stdc.py', '../_base_/datasets/kn_cityscapes2.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_2k.py'
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]
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lr_config = dict(warmup='linear', warmup_iters=1000)
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data = dict(
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samples_per_gpu=2,
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workers_per_gpu=2,
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)
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model = dict(
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backbone=dict(
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backbone_cfg=dict(
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init_cfg=dict(type='Pretrained', checkpoint=checkpoint))))
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