40 lines
1009 B
YAML
40 lines
1009 B
YAML
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_BASE_: [
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'../datasets/coco_detection.yml',
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'../runtime.yml',
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'_base_/fcos_r50_fpn.yml',
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'_base_/optimizer_1x.yml',
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'_base_/fcos_reader.yml',
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]
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weights: output/fcos_r50_fpn_multiscale_2x_coco/model_final
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TrainReader:
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sample_transforms:
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- Decode: {}
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- RandomFlip: {prob: 0.5}
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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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- RandomResize: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: true, interp: 1}
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- Permute: {}
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batch_transforms:
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- PadBatch: {pad_to_stride: 128}
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- Gt2FCOSTarget:
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object_sizes_boundary: [64, 128, 256, 512]
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center_sampling_radius: 1.5
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downsample_ratios: [8, 16, 32, 64, 128]
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norm_reg_targets: True
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batch_size: 2
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shuffle: true
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drop_last: true
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epoch: 24
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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: [16, 22]
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- !LinearWarmup
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start_factor: 0.3333333333333333
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steps: 500
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