_BASE_: [ '../../rtdetr/rtdetr_r50vd_6x_coco.yml', ] log_iter: 50 snapshot_epoch: 2 weights: output/rtdetr_r50vd_6x_coco/model_final pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams TrainDataset: !COCODataSet image_dir: train2017 anno_path: semi_annotations/instances_train2017.1@5.json dataset_dir: dataset/coco data_fields: ['image', 'gt_bbox', 'gt_class'] worker_num: 4 TrainReader: sample_transforms: - Decode: {} - RandomDistort: {prob: 0.8} - RandomExpand: {fill_value: [123.675, 116.28, 103.53]} - RandomCrop: {prob: 0.8} - RandomFlip: {} batch_transforms: - BatchRandomResize: {target_size: [480, 512, 544, 576, 608, 640, 640, 640, 672, 704, 736, 768, 800], random_size: True, random_interp: True, keep_ratio: False} - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none} - NormalizeBox: {} - BboxXYXY2XYWH: {} - Permute: {} batch_size: 4 shuffle: true drop_last: true collate_batch: false use_shared_memory: false
