F0221 18:59:03.658958 3906 blob.cpp:115] Check failed: data_
YsSue opened this issue · 1 comments
Hi, could you help me please?
When I fine-tuning the model with:
experiments/scripts/mnc_5stage.sh
then there is an error after the Network initialization
F0221 18:59:03.658958 3906 blob.cpp:115] Check failed: data_
Error messages
I0221 18:58:46.251495 3906 net.cpp:283] Network initialization done. I0221 18:58:46.252101 3906 solver.cpp:60] Solver scaffolding done. Loading pretrained model weights from data/imagenet_models/VGG16.mask.caffemodel [libprotobuf WARNING google/protobuf/io/coded_stream.cc:605] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING google/protobuf/io/coded_stream.cc:82] The total number of bytes read was 1024780411 I0221 18:59:01.514374 3906 upgrade_proto.cpp:67] Attempting to upgrade input file specified using deprecated input fields: data/imagenet_models/VGG16.mask.caffemodel I0221 18:59:01.514454 3906 upgrade_proto.cpp:70] Successfully upgraded file specified using deprecated input fields. W0221 18:59:01.514470 3906 upgrade_proto.cpp:72] Note that future Caffe releases will only support input layers and not input fields. I0221 18:59:01.537618 3906 net.cpp:761] Ignoring source layer rpn_conv/3x3 I0221 18:59:01.537744 3906 net.cpp:761] Ignoring source layer rpn_relu/3x3 I0221 18:59:01.537762 3906 net.cpp:761] Ignoring source layer rpn/output_rpn_relu/3x3_0_split I0221 18:59:01.667882 3906 net.cpp:761] Ignoring source layer drop6 I0221 18:59:01.680392 3906 net.cpp:761] Ignoring source layer drop7 I0221 18:59:01.761777 3906 net.cpp:761] Ignoring source layer drop6_mask I0221 18:59:01.777510 3906 net.cpp:761] Ignoring source layer drop7_mask Solving... /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:152: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future cur_inds = npr.choice(cur_inds, size=cur_rois_this_image, replace=False) /media/G/yangshu/MNC/tools/../lib/transform/bbox_transform.py:201: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future bbox_targets[ind, start:end] = bbox_target_data[ind, 1:] /media/G/yangshu/MNC/tools/../lib/transform/bbox_transform.py:202: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future bbox_inside_weights[ind, start:end] = cfg.TRAIN.BBOX_INSIDE_WEIGHTS /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:190: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future gt_box = scaled_gt_boxes[gt_assignment[val]] /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:193: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future gt_mask = gt_masks[gt_assignment[val]] /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:194: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future gt_mask_info = mask_info[gt_assignment[val]] /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:195: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future gt_mask = gt_mask[0:gt_mask_info[0], 0:gt_mask_info[1]] /media/G/yangshu/MNC/tools/../lib/pylayer/proposal_target_layer.py:201: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future top_mask_info[i, 0] = gt_assignment[val] F0221 18:59:03.658958 3906 blob.cpp:115] Check failed: data_ *** Check failure stack trace: *** ./experiments/scripts/mnc_5stage.sh: line 35: 3906 Aborted (core dumped) ./tools/train_net.py --gpu ${GPU_ID} --solver models/${NET}/mnc_5stage/solver.prototxt --weights ${NET_INIT} --imdb ${DATASET_TRAIN} --iters ${ITERS} --cfg experiments/cfgs/${NET}/mnc_5stage.yml ${EXTRA_ARGS}