Closed frkake closed 3 years ago
Sorry for this confusing code. In fact, it only affects the category name during visualization.The data and categories used for training are completely determined by the label file https://github.com/zhengye1995/Zero-shot-Instance-Segmentation/blob/6b25b318d7821b5f7a48f7d5e6dbd0bc63474e14/configs/zsi/48_17/train/zero-shot-mask-rcnn-BARPN-bbox_mask_sync_bg_decoder.py#L176. (note: 'dataset_type' affects training in the new version of mmdetection, but has no effect in this old version)
@zhengye1995 Thank you so much for fast response! I'm convinced very well!
By the way, what version of mmdetection is based in this repository? I would like to develop this in upper version of it.
mmcv 0.2.14
mmdet 1.0rc0+45ee140
@taku-buntu Thank you so much!
Below train config setting is correct? It looks ignoring seen classes even during training. I wonder why this data class is called during training.
https://github.com/zhengye1995/Zero-shot-Instance-Segmentation/blob/6b25b318d7821b5f7a48f7d5e6dbd0bc63474e14/configs/zsi/65_15/train/zero-shot-mask-rcnn-BARPN-bbox_mask_sync_bg_65_15_decoder_notanh.py#L141
https://github.com/zhengye1995/Zero-shot-Instance-Segmentation/blob/6b25b318d7821b5f7a48f7d5e6dbd0bc63474e14/configs/zsi/48_17/train/zero-shot-mask-rcnn-BARPN-bbox_mask_sync_bg_decoder.py#L142
I think that CocoDataset_48_17 and CocoDataset_65_15 data class looks appropriate.
Thank you a lot!