forked from PulseFocusPlatform/PulseFocusPlatform
82 lines
2.0 KiB
YAML
82 lines
2.0 KiB
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_/ppyolo_mbv3_large.yml',
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'./_base_/optimizer_1x.yml',
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'./_base_/ppyolo_reader.yml',
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]
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snapshot_epoch: 10
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weights: output/ppyolo_mbv3_large_coco/model_final
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TrainReader:
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inputs_def:
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num_max_boxes: 90
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sample_transforms:
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- Decode: {}
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- Mixup: {alpha: 1.5, beta: 1.5}
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- RandomDistort: {}
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- RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
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- RandomCrop: {}
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- RandomFlip: {}
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batch_transforms:
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- BatchRandomResize:
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target_size: [224, 256, 288, 320, 352, 384, 416, 448, 480, 512]
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random_size: True
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random_interp: True
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keep_ratio: False
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- NormalizeBox: {}
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- PadBox: {num_max_boxes: 90}
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- BboxXYXY2XYWH: {}
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- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
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- Permute: {}
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- Gt2YoloTarget:
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anchor_masks: [[3, 4, 5], [0, 1, 2]]
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anchors: [[11, 18], [34, 47], [51, 126], [115, 71], [120, 195], [254, 235]]
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downsample_ratios: [32, 16]
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iou_thresh: 0.25
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num_classes: 80
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batch_size: 32
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mixup_epoch: 200
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shuffle: true
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EvalReader:
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sample_transforms:
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- Decode: {}
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- Resize: {target_size: [320, 320], keep_ratio: False, interp: 2}
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- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
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- Permute: {}
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batch_size: 8
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TestReader:
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inputs_def:
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image_shape: [3, 320, 320]
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sample_transforms:
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- Decode: {}
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- Resize: {target_size: [320, 320], keep_ratio: False, interp: 2}
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- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
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- Permute: {}
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batch_size: 1
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epoch: 270
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LearningRate:
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base_lr: 0.005
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schedulers:
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- !PiecewiseDecay
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gamma: 0.1
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milestones:
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- 162
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- 216
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- !LinearWarmup
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start_factor: 0.
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steps: 4000
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OptimizerBuilder:
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optimizer:
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momentum: 0.9
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type: Momentum
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regularizer:
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factor: 0.0005
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type: L2
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