We can now implement the pre-trained model on the COCO dataset as shown in the following code snippet:
python2 tools/test_net.py --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml TEST.WEIGHTS https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101- FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl NUM_GPUS 1