forked from PulseFocusPlatform/PulseFocusPlatform
171 lines
3.5 KiB
YAML
171 lines
3.5 KiB
YAML
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architecture: TTFNet
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use_gpu: true
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max_iters: 150000
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log_smooth_window: 20
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save_dir: output
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snapshot_iter: 10000
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metric: COCO
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pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar
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weights: output/pafnet_10x_coco/model_final
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num_classes: 80
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use_ema: true
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ema_decay: 0.9998
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TTFNet:
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backbone: ResNet
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ttf_head: TTFHead
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ResNet:
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norm_type: sync_bn
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freeze_at: 0
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freeze_norm: false
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norm_decay: 0.
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depth: 50
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feature_maps: [2, 3, 4, 5]
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variant: d
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dcn_v2_stages: [3, 4, 5]
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TTFHead:
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head_conv: 128
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wh_conv: 64
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hm_head_conv_num: 2
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wh_head_conv_num: 2
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wh_offset_base: 16
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wh_loss: GiouLoss
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dcn_head: True
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GiouLoss:
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loss_weight: 5.
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do_average: false
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use_class_weight: false
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LearningRate:
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base_lr: 0.015
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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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- 112500
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- 137500
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- !LinearWarmup
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start_factor: 0.2
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steps: 500
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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: 0.0004
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type: L2
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TrainReader:
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inputs_def:
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fields: ['image', 'ttf_heatmap', 'ttf_box_target', 'ttf_reg_weight']
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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_cutmix: True
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- !CutmixImage
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alpha: 1.5
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beta: 1.5
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- !ColorDistort
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hue: [-18., 18., 0.5]
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saturation: [0.5, 1.5, 0.5]
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contrast: [0.5, 1.5, 0.5]
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brightness: [-32., 32., 0.5]
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random_apply: False
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hsv_format: True
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random_channel: True
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- !RandomExpand
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ratio: 4
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prob: 0.5
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fill_value: [123.675, 116.28, 103.53]
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- !RandomCrop
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aspect_ratio: NULL
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cover_all_box: True
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- !RandomFlipImage
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prob: 0.5
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batch_transforms:
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- !RandomShape
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sizes: [416, 448, 480, 512, 544, 576, 608, 640, 672]
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random_inter: True
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resize_box: True
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- !NormalizeImage
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is_channel_first: false
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is_scale: false
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mean: [123.675, 116.28, 103.53]
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std: [58.395, 57.12, 57.375]
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- !Permute
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to_bgr: false
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channel_first: true
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- !Gt2TTFTarget
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num_classes: 80
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down_ratio: 4
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- !PadBatch
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pad_to_stride: 32
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batch_size: 12
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shuffle: true
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worker_num: 8
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bufsize: 2
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use_process: false
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cutmix_epoch: 100
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EvalReader:
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inputs_def:
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image_shape: [3, 512, 512]
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fields: ['image', 'im_id', 'scale_factor']
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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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- !Resize
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target_dim: 512
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- !NormalizeImage
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mean: [123.675, 116.28, 103.53]
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std: [58.395, 57.12, 57.375]
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is_scale: false
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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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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, 512, 512]
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fields: ['image', 'im_id', 'scale_factor']
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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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- !Resize
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interp: 1
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target_dim: 512
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- !NormalizeImage
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mean: [123.675, 116.28, 103.53]
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std: [58.395, 57.12, 57.375]
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is_scale: false
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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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