Created by: justinmeibi

architecture: YOLOv3 use_gpu: true max_iters: 70000 log_smooth_window: 20 save_dir: output snapshot_iter: 2000 metric: VOC map_type: 11point pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_pretrained.tar weights: output/yolov3_darknet_voc/model_final num_classes: 20 use_fine_grained_loss: true

YOLOv3: backbone: DarkNet yolo_head: YOLOv3Head

DarkNet: norm_type: sync_bn norm_decay: 0. depth: 53

YOLOv3Head: anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]] norm_decay: 0. yolo_loss: YOLOv3Loss nms: background_label: -1 keep_top_k: 100 nms_threshold: 0.45 nms_top_k: 1000 normalized: false score_threshold: 0.01

YOLOv3Loss: batch_size: 8 ignore_thresh: 0.7 label_smooth: false iou_loss: DiouLossYolo

DiouLossYolo: loss_weight: 5

LearningRate: base_lr: 0.001 schedulers:

• !PiecewiseDecay gamma: 0.1 milestones:
  • 55000
  • 62000
• !LinearWarmup start_factor: 0. steps: 1000

OptimizerBuilder: optimizer: momentum: 0.9 type: Momentum regularizer: factor: 0.0005 type: L2

READER: 'yolov3_reader.yml' TrainReader: inputs_def: fields: ['image', 'gt_bbox', 'gt_class', 'gt_score'] num_max_boxes: 50 dataset: !VOCDataSet dataset_dir: dataset/voc anno_path: trainval.txt use_default_label: true with_background: false

EvalReader: inputs_def: fields: ['image', 'im_size', 'im_id', 'gt_bbox', 'gt_class', 'is_difficult'] num_max_boxes: 50 dataset: !VOCDataSet dataset_dir: dataset/voc anno_path: test.txt use_default_label: true with_background: false

TestReader: dataset: !ImageFolder use_default_label: true with_background: false

recv endsignal from outq with errmsg[consumer[consumer-0d6-3] failed to map with error:[target0 not in samples]] 请问这是什么原因导致的，怎么解决？