source activate visloc_apr
python -m train -b 75 --train -val 10 --epoch 1000 --data_root 'data/CambridgeLandmarks' --pose_txt 'dataset_train.txt' --val_pose_txt 'dataset_test.txt' --dataset 'ShopFacade' -rs 256 --crop 224 --network 'PoseNet' --pretrained 'weights/googlenet_places.extract.pth' --optim 'Adam' -eps 1.0 -lr 0.005 -wd 0.0001 --beta 100 --odir 'output/posenet/test'