forked from PulseFocusPlatform/PulseFocusPlatform
112 lines
2.6 KiB
YAML
112 lines
2.6 KiB
YAML
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TrainReader:
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inputs_def:
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fields: ['image', 'gt_bbox', 'gt_class', 'gt_score']
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num_max_boxes: 50
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dataset:
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!COCODataSet
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image_dir: train2017
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anno_path: annotations/instances_train2017.json
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dataset_dir: dataset/coco
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with_background: false
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sample_transforms:
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- !DecodeImage
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to_rgb: True
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with_mixup: True
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- !MixupImage
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alpha: 1.5
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beta: 1.5
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- !ColorDistort {}
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- !RandomExpand
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fill_value: [123.675, 116.28, 103.53]
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- !RandomCrop {}
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- !RandomFlipImage
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is_normalized: false
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- !NormalizeBox {}
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- !PadBox
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num_max_boxes: 50
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- !BboxXYXY2XYWH {}
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batch_transforms:
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- !RandomShape
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sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
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random_inter: True
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- !NormalizeImage
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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is_scale: True
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is_channel_first: false
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- !Permute
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to_bgr: false
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channel_first: True
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# Gt2YoloTarget is only used when use_fine_grained_loss set as true,
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# this operator will be deleted automatically if use_fine_grained_loss
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# is set as false
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- !Gt2YoloTarget
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anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
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anchors: [[10, 13], [16, 30], [33, 23],
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[30, 61], [62, 45], [59, 119],
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[116, 90], [156, 198], [373, 326]]
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downsample_ratios: [32, 16, 8]
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batch_size: 8
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shuffle: true
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mixup_epoch: 250
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drop_last: true
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worker_num: 8
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bufsize: 16
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use_process: true
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EvalReader:
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inputs_def:
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fields: ['image', 'im_size', 'im_id']
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num_max_boxes: 50
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dataset:
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!COCODataSet
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image_dir: val2017
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anno_path: annotations/instances_val2017.json
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dataset_dir: dataset/coco
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with_background: false
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sample_transforms:
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- !DecodeImage
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to_rgb: True
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- !ResizeImage
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target_size: 608
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interp: 2
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- !NormalizeImage
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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is_scale: True
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is_channel_first: false
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- !PadBox
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num_max_boxes: 50
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- !Permute
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to_bgr: false
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channel_first: True
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batch_size: 8
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drop_empty: false
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worker_num: 8
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bufsize: 16
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TestReader:
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inputs_def:
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image_shape: [3, 608, 608]
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fields: ['image', 'im_size', 'im_id']
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dataset:
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!ImageFolder
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anno_path: annotations/instances_val2017.json
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with_background: false
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sample_transforms:
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- !DecodeImage
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to_rgb: True
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- !ResizeImage
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target_size: 608
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interp: 2
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- !NormalizeImage
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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is_scale: True
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is_channel_first: false
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- !Permute
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to_bgr: false
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channel_first: True
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batch_size: 1
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