Update README.md

README.md

@@ -44,8 +44,8 @@ Decoupled_SOLO_R101_3x | Yes | 92ms | 37.9 | [download](https://cloudstor.aarnet
 
 Model | Multi-scale training | Testing time / im | AP (minival) | Link
 --- |:---:|:---:|:---:|:---:
-DECOUPLED_SOLO_LIGHT_R50_3x | Yes | 29ms | 33.0 | [download](https://cloudstor.aarnet.edu.au/plus/s/d0zuZgCnAjeYvod/download)
-DECOUPLED_SOLO_LIGHT_DCN_R50_3x | Yes | 36ms | 35.0 | [download](https://cloudstor.aarnet.edu.au/plus/s/QvWhOTmCA5pFj6E/download)
+Decoupled_SOLO_Light_R50_3x | Yes | 29ms | 33.0 | [download](https://cloudstor.aarnet.edu.au/plus/s/d0zuZgCnAjeYvod/download)
+Decoupled_SOLO_Light_DCN_R50_3x | Yes | 36ms | 35.0 | [download](https://cloudstor.aarnet.edu.au/plus/s/QvWhOTmCA5pFj6E/download)
 
 ## Usage
 
@@ -66,17 +66,25 @@ Once the installation is done, you can download the provided models and use [inf
     python tools/train.py configs/solo/solo_r50_fpn_8gpu_1x.py
 
 ### Testing
+    # multi-gpu testing
+    ./tools/dist_test.sh ${CONFIG_FILE} ${CHECKPOINT_FILE} ${GPU_NUM}  --show --out  ${OUTPUT_FILE} --eval segm
+    
+    Example: 
+    ./tools/dist_test.sh configs/solo/solo_r50_fpn_8gpu_1x.py SOLO_R50_1x.pth  8  --show --out results_solo.pkl --eval segm
+
+    # single-gpu testing
     python tools/test_ins.py ${CONFIG_FILE} ${CHECKPOINT_FILE} --show --out  ${OUTPUT_FILE} --eval segm
     
     Example: 
-    python tools/test_ins.py configs/solo/solo_r50_fpn_8gpu_1x.py  SOLO_R50_FPN_1x.pth --show --out  results_solo.pkl --eval segm
+    python tools/test_ins.py configs/solo/solo_r50_fpn_8gpu_1x.py  SOLO_R50_1x.pth --show --out  results_solo.pkl --eval segm
+
 
 ### Visualization
 
     python tools/test_ins_vis.py ${CONFIG_FILE} ${CHECKPOINT_FILE} --show --save_dir  ${SAVE_DIR}
     
     Example: 
-    python tools/test_ins_vis.py configs/solo/solo_r50_fpn_8gpu_1x.py  SOLO_R50_FPN_1x.pth --show --save_dir  work_dirs/vis_solo
+    python tools/test_ins_vis.py configs/solo/solo_r50_fpn_8gpu_1x.py  SOLO_R50_1x.pth --show --save_dir  work_dirs/vis_solo
 
 ## Contributing to the project
 Any pull requests or issues are welcome.