yolov3_darknet53_270e_voc.yml

_BASE_: [
  '../datasets/voc.yml',
  '../runtime.yml',
  '_base_/optimizer_270e.yml',
  '_base_/yolov3_darknet53.yml',
  '_base_/yolov3_reader.yml',
]

snapshot_epoch: 5
weights: output/yolov3_darknet53_270e_voc/model_final
pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams


# set collate_batch to false because ground-truth info is needed
# on voc dataset and should not collate data in batch when batch size
# is larger than 1.
EvalReader:
  collate_batch: false


# ### remove comment below and run evaluate again to get 56.1 COCO for mAP(0.5:0.95)
# metric: COCO
# EvalDataset:
#   !COCODataSet
#     image_dir: VOCdevkit/VOC2007/JPEGImages
#     anno_path: voc_test.json
#     dataset_dir: dataset/voc
#     # wget https://bj.bcebos.com/v1/paddledet/data/voc.zip