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- architecture: BlazeFace
- max_iters: 320000
- pretrain_weights:
- use_gpu: true
- snapshot_iter: 10000
- log_iter: 20
- metric: WIDERFACE
- save_dir: output
- weights: output/blazeface/model_final
- # 1(label_class) + 1(background)
- num_classes: 2
- BlazeFace:
- backbone: BlazeNet
- output_decoder:
- keep_top_k: 750
- nms_threshold: 0.3
- nms_top_k: 5000
- score_threshold: 0.01
- min_sizes: [[16.,24.], [32., 48., 64., 80., 96., 128.]]
- use_density_prior_box: false
- BlazeNet:
- with_extra_blocks: true
- lite_edition: false
- LearningRate:
- base_lr: 0.001
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones: [240000, 300000]
- OptimizerBuilder:
- optimizer:
- momentum: 0.0
- type: RMSPropOptimizer
- regularizer:
- factor: 0.0005
- type: L2
- TrainReader:
- inputs_def:
- image_shape: [3, 640, 640]
- fields: ['image', 'gt_bbox', 'gt_class']
- dataset:
- !WIDERFaceDataSet
- dataset_dir: dataset/wider_face
- anno_path: wider_face_split/wider_face_train_bbx_gt.txt
- image_dir: WIDER_train/images
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !NormalizeBox {}
- - !RandomDistort
- brightness_lower: 0.875
- brightness_upper: 1.125
- is_order: true
- - !ExpandImage
- max_ratio: 4
- prob: 0.5
- - !CropImageWithDataAchorSampling
- anchor_sampler:
- - [1, 10, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.2, 0.0]
- batch_sampler:
- - [1, 50, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
- - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
- - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
- - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
- - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
- target_size: 640
- - !RandomInterpImage
- target_size: 640
- - !RandomFlipImage
- is_normalized: true
- - !Permute {}
- - !NormalizeImage
- is_scale: false
- mean: [104, 117, 123]
- std: [127.502231, 127.502231, 127.502231]
- batch_size: 8
- use_process: true
- worker_num: 8
- shuffle: true
- EvalReader:
- inputs_def:
- fields: ['image', 'im_id']
- dataset:
- !WIDERFaceDataSet
- dataset_dir: dataset/wider_face
- anno_path: wider_face_split/wider_face_val_bbx_gt.txt
- image_dir: WIDER_val/images
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !NormalizeBox {}
- - !NormalizeImage
- is_channel_first: false
- is_scale: false
- mean: [123, 117, 104]
- std: [127.502231, 127.502231, 127.502231]
- - !Permute {}
- batch_size: 1
- TestReader:
- inputs_def:
- fields: ['image', 'im_id', 'im_shape']
- dataset:
- !ImageFolder
- use_default_label: true
- sample_transforms:
- - !DecodeImage
- to_rgb: true
- - !NormalizeImage
- is_channel_first: false
- is_scale: false
- mean: [123, 117, 104]
- std: [127.502231, 127.502231, 127.502231]
- - !Permute {}
- batch_size: 1
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