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Author: KaihuaTang

README.md

@@ -150,6 +150,7 @@ Test Example 2 : (SGCls, Causal, **TDE**, SUM Fusion, MOTIFS Model)
 CUDA_VISIBLE_DEVICES=0 python -m torch.distributed.launch --master_port 10028 --nproc_per_node=1 tools/relation_test_net.py --config-file "configs/e2e_relation_X_101_32_8_FPN_1x.yaml" MODEL.ROI_RELATION_HEAD.USE_GT_BOX True MODEL.ROI_RELATION_HEAD.USE_GT_OBJECT_LABEL False MODEL.ROI_RELATION_HEAD.PREDICTOR CausalAnalysisPredictor MODEL.ROI_RELATION_HEAD.CAUSAL.EFFECT_TYPE TDE MODEL.ROI_RELATION_HEAD.CAUSAL.FUSION_TYPE sum MODEL.ROI_RELATION_HEAD.CAUSAL.CONTEXT_LAYER motifs  TEST.IMS_PER_BATCH 1 DTYPE "float16" GLOVE_DIR /home/kaihua/glove MODEL.PRETRAINED_DETECTOR_CKPT /home/kaihua/checkpoints/causal-motifs-sgcls-exmp OUTPUT_DIR /home/kaihua/checkpoints/causal-motifs-sgcls-exmp
 ```
 
+### Examples of Pretrained Causal MOTIFS-SUM models
 Examples of Pretrained Causal MOTIFS-SUM models on SGDet/SGCls/PredCls (batch size 12): [SGDet Download](https://onedrive.live.com/embed?cid=22376FFAD72C4B64&resid=22376FFAD72C4B64%21781947&authkey=AF_EM-rkbMyT3gs), [SGCls Download](https://onedrive.live.com/embed?cid=22376FFAD72C4B64&resid=22376FFAD72C4B64%21781938&authkey=AO_ddcgNpVVGE-g), [PredCls Download](https://onedrive.live.com/embed?cid=22376FFAD72C4B64&resid=22376FFAD72C4B64%21781937&authkey=AOzowl5-07RzJz4)
 
 Corresponding Results (The original models used in the paper are lost. These are the fresh ones, so there are some fluctuations on the results):