62 lines
1.1 KiB
YAML
62 lines
1.1 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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'../mask_rcnn/_base_/optimizer_1x.yml',
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'../mask_rcnn/_base_/mask_rcnn_r50_fpn.yml',
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'../mask_rcnn/_base_/mask_fpn_reader.yml',
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]
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weights: output/mask_rcnn_r50_fpn_gn_2x_coco/model_final
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MaskRCNN:
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backbone: ResNet
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neck: FPN
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rpn_head: RPNHead
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bbox_head: BBoxHead
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mask_head: MaskHead
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# post process
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bbox_post_process: BBoxPostProcess
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mask_post_process: MaskPostProcess
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FPN:
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out_channel: 256
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norm_type: gn
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BBoxHead:
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head: XConvNormHead
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roi_extractor:
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resolution: 7
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sampling_ratio: 0
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aligned: True
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bbox_assigner: BBoxAssigner
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XConvNormHead:
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num_convs: 4
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out_channel: 1024
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norm_type: gn
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MaskHead:
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head: MaskFeat
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roi_extractor:
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resolution: 14
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sampling_ratio: 0
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aligned: True
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mask_assigner: MaskAssigner
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share_bbox_feat: False
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MaskFeat:
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num_convs: 4
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out_channel: 256
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norm_type: gn
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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: 0.1
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steps: 1000
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