错误：./experiments/scripts/faster_rcnn_alt_opt.sh: 行 49: --weights: 未找到命令

Question

[color=#FF0000][b][size=14px]ubuntu16系统训练py-faster-rcnn数据集最后快结束时显示这个错误，ubuntu16、caffe、CPU跑自己的py-faster-rcnn数据集，下面是错误提示，最下面是faster_rcnn_alt_opt.sh的49行代码（求解决）：[/color][/b][/size]I1013 15:30:29.527837  3492 net.cpp:816] Ignoring source layer input-data
I1013 15:30:29.527892  3492 net.cpp:816] Ignoring source layer data_input-data_0_split
I1013 15:30:29.535698  3492 net.cpp:816] Ignoring source layer rpn_cls_score_rpn_cls_score_0_split
I1013 15:30:29.535812  3492 net.cpp:816] Ignoring source layer rpn_cls_score_reshape
I1013 15:30:29.535823  3492 net.cpp:816] Ignoring source layer rpn-data
I1013 15:30:29.535830  3492 net.cpp:816] Ignoring source layer rpn_loss_cls
I1013 15:30:29.535837  3492 net.cpp:816] Ignoring source layer rpn_loss_bbox
I1013 15:30:29.535843  3492 net.cpp:816] Ignoring source layer dummy_roi_pool_conv5
I1013 15:30:29.645191  3492 net.cpp:816] Ignoring source layer silence_fc7
Solving...
I1013 15:30:39.508479  3492 solver.cpp:229] Iteration 0, loss = 1.41413
I1013 15:30:39.508649  3492 solver.cpp:245]     Train net output #0: bbox_loss = 0.315514 (* 1 = 0.315514 loss)
I1013 15:30:39.508702  3492 solver.cpp:245]     Train net output #1: cls_loss = 1.09861 (* 1 = 1.09861 loss)
I1013 15:30:39.508751  3492 sgd_solver.cpp:106] Iteration 0, lr = 0.0001
I1013 15:34:01.044059  3492 solver.cpp:229] Iteration 20, loss = 1.33759
I1013 15:34:01.044145  3492 solver.cpp:245]     Train net output #0: bbox_loss = 0.245722 (* 1 = 0.245722 loss)
I1013 15:34:01.044159  3492 solver.cpp:245]     Train net output #1: cls_loss = 1.09187 (* 1 = 1.09187 loss)
I1013 15:34:01.044173  3492 sgd_solver.cpp:106] Iteration 20, lr = 1e-05
Wrote snapshot to: /home/www/py-faster-rcnn/output/default/voc_2007_trainval/zf_fast_rcnn_stage2_iter_40.caffemodel
done solving
cp /home/www/py-faster-rcnn/output/default/voc_2007_trainval/zf_fast_rcnn_stage2_iter_40.caffemodel -> /home/zhaoyuan/py-faster-rcnn/output/default/voc_2007_trainval/ZF_faster_rcnn_final.caffemodel
Final model: /home/www/py-faster-rcnn/output/default/voc_2007_trainval/ZF_faster_rcnn_final.caffemodel
+ --weights data/imagenet_models/ZF.v2.caffemodel --imdb voc_2007_trainval --cfg experiments/cfgs/faster_rcnn_alt_opt.yml
./experiments/scripts/faster_rcnn_alt_opt.sh: 行 49: --weights: 未找到命令faster_rcnn_alt_opt.sh的49行代码:#time ./tools/train_faster_rcnn_alt_opt.py --gpu ${GPU_ID} \
time cd /home/www/py-faster-rcnn/tools/
python train_faster_rcnn_alt_opt.py --net_name ${NET}
  --weights data/imagenet_models/${NET}.v2.caffemodel \#第49行代码
  --imdb ${TRAIN_IMDB} \
  --cfg experiments/cfgs/faster_rcnn_alt_opt.yml \
  ${EXTRA_ARGS}set +x
NET_FINAL=`grep "Final model:" ${LOG} | awk '{print $3}'`
set -x#time ./tools/test_net.py --gpu ${GPU_ID} \
time cd /home/www/py-faster-rcnn/tools/ 
test_net.py --def /home/www/py-faster-rcnn/models/${PT_DIR}/${NET}/faster_rcnn_alt_opt/faster_rcnn_test.pt \
  --net ${NET_FINAL} \
  --imdb ${TEST_IMDB} \
  --cfg experiments/cfgs/faster_rcnn_alt_opt.yml \
  ${EXTRA_ARGS} 

Answer 1

python train_faster_rcnn_alt_opt.py --net_name ${NET}
  --weights data/imagenet_models/${NET}.v2.caffemodel \#第49行代码
  --imdb ${TRAIN_IMDB} \
  --cfg experiments/cfgs/faster_rcnn_alt_opt.yml \
  ${EXTRA_ARGS}
改成python train_faster_rcnn_alt_opt.py --net_name ${NET} \ 这个斜杆不能少
  --weights data/imagenet_models/${NET}.v2.caffemodel \#第49行代码
  --imdb ${TRAIN_IMDB} \
  --cfg experiments/cfgs/faster_rcnn_alt_opt.yml \
  ${EXTRA_ARGS}