model_fall / yolov3_darknet53_270e_voc.yml
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_BASE_: [
'../model/voc.yml',
'../model/runtime.yml',
'../model/optimizer_270e.yml',
'../model/yolov3_darknet53.yml',
'../model/yolov3_reader.yml',
]
snapshot_epoch: 5
weights: ../model/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