Faster RCNN训练出现问题：smooth_L1_loss_layer.cpp:28] Check failed: bottom[0]->channels() == bottom[1]->cha

I1030 20:49:01.633868 24921 net.cpp:157] Top shape: 1 4096 (4096)
I1030 20:49:01.633885 24921 net.cpp:165] Memory required for data: 280497656
I1030 20:49:01.633891 24921 layer_factory.hpp:77] Creating layer relu7
I1030 20:49:01.633898 24921 net.cpp:106] Creating Layer relu7
I1030 20:49:01.633900 24921 net.cpp:454] relu7 <- fc7
I1030 20:49:01.633905 24921 net.cpp:397] relu7 -> fc7 (in-place)
I1030 20:49:01.634315 24921 net.cpp:150] Setting up relu7
I1030 20:49:01.634320 24921 net.cpp:157] Top shape: 1 4096 (4096)
I1030 20:49:01.634336 24921 net.cpp:165] Memory required for data: 280514040
I1030 20:49:01.634338 24921 layer_factory.hpp:77] Creating layer drop7
I1030 20:49:01.634343 24921 net.cpp:106] Creating Layer drop7
I1030 20:49:01.634346 24921 net.cpp:454] drop7 <- fc7
I1030 20:49:01.634348 24921 net.cpp:397] drop7 -> fc7 (in-place)
I1030 20:49:01.634369 24921 net.cpp:150] Setting up drop7
I1030 20:49:01.634372 24921 net.cpp:157] Top shape: 1 4096 (4096)
I1030 20:49:01.634373 24921 net.cpp:165] Memory required for data: 280530424
I1030 20:49:01.634376 24921 layer_factory.hpp:77] Creating layer fc7_drop7_0_split
I1030 20:49:01.634378 24921 net.cpp:106] Creating Layer fc7_drop7_0_split
I1030 20:49:01.634379 24921 net.cpp:454] fc7_drop7_0_split <- fc7
I1030 20:49:01.634383 24921 net.cpp:411] fc7_drop7_0_split -> fc7_drop7_0_split_0
I1030 20:49:01.634387 24921 net.cpp:411] fc7_drop7_0_split -> fc7_drop7_0_split_1
I1030 20:49:01.634412 24921 net.cpp:150] Setting up fc7_drop7_0_split
I1030 20:49:01.634414 24921 net.cpp:157] Top shape: 1 4096 (4096)
I1030 20:49:01.634416 24921 net.cpp:157] Top shape: 1 4096 (4096)
I1030 20:49:01.634418 24921 net.cpp:165] Memory required for data: 280563192
I1030 20:49:01.634418 24921 layer_factory.hpp:77] Creating layer cls_score
I1030 20:49:01.634423 24921 net.cpp:106] Creating Layer cls_score
I1030 20:49:01.634424 24921 net.cpp:454] cls_score <- fc7_drop7_0_split_0
I1030 20:49:01.634428 24921 net.cpp:411] cls_score -> cls_score
I1030 20:49:01.634549 24921 net.cpp:150] Setting up cls_score
I1030 20:49:01.634552 24921 net.cpp:157] Top shape: 1 2 (2)
I1030 20:49:01.634553 24921 net.cpp:165] Memory required for data: 280563200
I1030 20:49:01.634557 24921 layer_factory.hpp:77] Creating layer bbox_pred
I1030 20:49:01.634574 24921 net.cpp:106] Creating Layer bbox_pred
I1030 20:49:01.634575 24921 net.cpp:454] bbox_pred <- fc7_drop7_0_split_1
I1030 20:49:01.634578 24921 net.cpp:411] bbox_pred -> bbox_pred
I1030 20:49:01.634840 24921 net.cpp:150] Setting up bbox_pred
I1030 20:49:01.634843 24921 net.cpp:157] Top shape: 1 8 (8)
I1030 20:49:01.634845 24921 net.cpp:165] Memory required for data: 280563232
I1030 20:49:01.634861 24921 layer_factory.hpp:77] Creating layer loss_cls
I1030 20:49:01.634865 24921 net.cpp:106] Creating Layer loss_cls
I1030 20:49:01.634867 24921 net.cpp:454] loss_cls <- cls_score
I1030 20:49:01.634869 24921 net.cpp:454] loss_cls <- labels
I1030 20:49:01.634872 24921 net.cpp:411] loss_cls -> cls_loss
I1030 20:49:01.634876 24921 layer_factory.hpp:77] Creating layer loss_cls
I1030 20:49:01.635040 24921 net.cpp:150] Setting up loss_cls
I1030 20:49:01.635044 24921 net.cpp:157] Top shape: (1)
I1030 20:49:01.635046 24921 net.cpp:160]     with loss weight 1
I1030 20:49:01.635066 24921 net.cpp:165] Memory required for data: 280563236
I1030 20:49:01.635067 24921 layer_factory.hpp:77] Creating layer loss_bbox
I1030 20:49:01.635071 24921 net.cpp:106] Creating Layer loss_bbox
I1030 20:49:01.635073 24921 net.cpp:454] loss_bbox <- bbox_pred
I1030 20:49:01.635076 24921 net.cpp:454] loss_bbox <- bbox_targets
I1030 20:49:01.635078 24921 net.cpp:454] loss_bbox <- bbox_inside_weights
I1030 20:49:01.635080 24921 net.cpp:454] loss_bbox <- bbox_outside_weights
I1030 20:49:01.635083 24921 net.cpp:411] loss_bbox -> bbox_loss
F1030 20:49:01.635092 24921 smooth_L1_loss_layer.cpp:28] Check failed: bottom[0]->channels() == bottom[1]->channels() (8 vs. 84)
*** Check failure stack trace: ***
./experiments/scripts/faster_rcnn_end2end.sh: 行 57: 24921 已放弃               (核心已转储) ./tools/train_net.py --gpu ${GPU_ID} --solver models/${PT_DIR}/${NET}/faster_rcnn_end2end/solver.prototxt --weights data/imagenet_models/${NET}.v2.caffemodel --imdb ${TRAIN_IMDB} --iters ${ITERS} --cfg experiments/cfgs/faster_rcnn_end2end.yml ${EXTRA_ARGS}

修改：

layer {  name: 'roi-data'  type: 'Python'  bottom: 'rpn_rois'  bottom: 'gt_boxes'  top: 'rois'  top: 'labels'  top: 'bbox_targets'  top: 'bbox_inside_weights'  top: 'bbox_outside_weights'  python_param {    module: 'rpn.proposal_target_layer'    layer: 'ProposalTargetLayer'    param_str: "'num_classes': 2"  }