39 lines
1.0 KiB
YAML
39 lines
1.0 KiB
YAML
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_BASE_: [
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'../datasets/coco_instance.yml',
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'../runtime.yml',
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'_base_/solov2_r50_fpn.yml',
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'_base_/optimizer_1x.yml',
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'_base_/solov2_reader.yml',
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]
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weights: output/solov2_r50_fpn_3x_coco/model_final
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epoch: 36
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LearningRate:
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base_lr: 0.01
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schedulers:
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- !PiecewiseDecay
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gamma: 0.1
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milestones: [24, 33]
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- !LinearWarmup
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start_factor: 0.
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steps: 1000
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TrainReader:
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sample_transforms:
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- Decode: {}
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- Poly2Mask: {}
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- RandomResize: {interp: 1,
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target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]],
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keep_ratio: True}
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- RandomFlip: {}
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- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
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- Permute: {}
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batch_transforms:
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- PadBatch: {pad_to_stride: 32}
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- Gt2Solov2Target: {num_grids: [40, 36, 24, 16, 12],
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scale_ranges: [[1, 96], [48, 192], [96, 384], [192, 768], [384, 2048]],
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coord_sigma: 0.2}
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batch_size: 2
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shuffle: true
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drop_last: true
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