diff --git a/README.md b/README.md index 061e0d4..67b8525 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,6 @@ consistency via strong augmentation. -__This code is only used for research. This is not an official Google product.__ # Instruction @@ -65,17 +64,17 @@ wget http://models.tensorpack.com/FasterRCNN/ImageNet-R50-AlignPadding.npz There are three steps: - __1.__ Train a standard detector on labeled data -(`detection/scripts/coco/train_stg1.sh`). +[`detection/scripts/coco/train_stg1.sh`](./detection/scripts/coco/train_stg1.sh). - __2.__ Predict pseudo boxes and labels of unlabeled -data using the trained detector (`detection/scripts/coco/eval_stg1.sh`). +data using the trained detector [`detection/scripts/coco/eval_stg1.sh`](./detection/scripts/coco/eval_stg1.sh). - __3.__ Use labeled data and unlabeled data with pseudo labels to train a STAC detector -(`detection/scripts/coco/train_stg2.sh`). +[`detection/scripts/coco/train_stg2.sh`](./detection/scripts/coco/train_stg2.sh). -Besides instruction at here, __`detection/scripts/coco/train_stac.sh`__ +Besides instruction at here, [__`detection/scripts/coco/train_stac.sh`__](./detection/scripts/coco/train_stac.sh) provides a combined script to train STAC. -__`detection/scripts/voc/train_stac.sh`__ is a combined script to train STAC on PASCAL VOC. +[__`detection/scripts/voc/train_stac.sh`__](./detection/scripts/voc/train_stac.sh) is a combined script to train STAC on PASCAL VOC. The following example use labeled data as 10% train2017 and rest 90% train2017 data as unlabeled data. @@ -205,6 +204,9 @@ tensorboard --logdir=${PRJROOT}/detection/train_log booktitle={arXiv:2005.04757} } ``` +## Disclaimer + +This code is only used for research. This is not an official Google product. # Acknowledgement