readme update

README.md

@@ -37,7 +37,7 @@ Our config file lies in [configs/sqr](configs/sqr) folder.
 We provide two implementation instances of SQR-adamixer in this repo, one is in [/mmdet/models/roi_heads/adamixer_decoder_Qrecycle.py](/mmdet/models/roi_heads/adamixer_decoder_Qrecycle.py), which might be slower for training but require less GPU memory (and easy to understand the logic). Another is in [/mmdet/models/roi_heads/adamixer_decoder_Qrecycle_optimize.py](/mmdet/models/roi_heads/adamixer_decoder_Qrecycle_optimize.py), which is much faster than the former but has higher requirement on GPU memory. 
 
 ### SQR-Deformable DETR
-We provide the implementation of SQR-deformable DETR in `QRDeformableDetrTransformerDecoder` in [/mmdet/models/utils/transformer.py](/mmdet/models/utils/transformer.py). Note Deformable DETR requires 32 batchsize and we follow this setting.
+We provide the implementation of SQR-deformable DETR in `QRDeformableDetrTransformerDecoder` in [/mmdet/models/utils/transformer.py](/mmdet/models/utils/transformer.py). Note Deformable DETR requires 32 as training batchsize and we follow this setting.
 
 __NOTE:__
 Please use `mmcv_full==1.3.3` and `pytorch>=1.5.0` for correct reproduction.

configs/sqr/deformable_detr_SQR_r50_50e_coco.py

@@ -152,8 +152,8 @@
         ])
 ]
 data = dict(
-    samples_per_gpu=2,
-    workers_per_gpu=2,
+    samples_per_gpu=8,
+    workers_per_gpu=8,
     train=dict(filter_empty_gt=False, pipeline=train_pipeline),
     val=dict(pipeline=test_pipeline),
     test=dict(pipeline=test_pipeline))