zhaoweicai / mscnn

Caffe implementation of our multi-scale object detection framework
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about a training error #108

Open zkh123456789 opened 4 years ago

zkh123456789 commented 4 years ago

when I train MSCNN model ,for example, I input " cd $MSCNN_ROOT/examples/kitti_car/mscnn-7s-576-2x/ sh train_mscnn.sh " then it wil show me that: I1223 16:55:35.672600 16628 caffe.cpp:204] Using GPUs 0 I1223 16:55:35.691526 16628 caffe.cpp:209] GPU 0: GeForce GTX 1080 I1223 16:55:35.883790 16628 solver.cpp:45] Initializing solver from parameters: test_iter: 1000 test_interval: 1000 base_lr: 5e-05 display: 50 max_iter: 10000 lr_policy: "step" gamma: 0.1 momentum: 0.9 weight_decay: 0.0005 stepsize: 10000 snapshot: 10000 snapshot_prefix: "mscnn_kitti_train_1st" solver_mode: GPU device_id: 0 random_seed: 1704 net: "trainval_1st.prototxt" train_state { level: 0 stage: "" } weights: "../../../models/VGG/VGG_ILSVRC_16_layers.caffemodel" I1223 16:55:35.893198 16628 solver.cpp:102] Creating training net from net file: trainval_1st.prototxt [libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.NetParameter: 22:23: Message type "caffe.LayerParameter" has no field named "image_gt_data_param". F1223 16:55:35.893450 16628 upgrade_proto.cpp:90] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: trainval_1st.prototxt Check failure stack trace: @ 0x7f1517c695cd google::LogMessage::Fail() @ 0x7f1517c6b433 google::LogMessage::SendToLog() @ 0x7f1517c6915b google::LogMessage::Flush() @ 0x7f1517c6be1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f1518427bf1 caffe::ReadNetParamsFromTextFileOrDie() @ 0x7f15182a50c5 caffe::Solver<>::InitTrainNet() @ 0x7f15182a6425 caffe::Solver<>::Init() @ 0x7f15182a673f caffe::Solver<>::Solver() @ 0x7f15184432b1 caffe::Creator_SGDSolver<>() @ 0x40a778 train() @ 0x407568 main @ 0x7f15163ff830 libc_start_main @ 0x407e39 _start @ (nil) (unknown) Aborted (core dumped) I1223 16:55:36.015866 16636 caffe.cpp:204] Using GPUs 0 I1223 16:55:36.035459 16636 caffe.cpp:209] GPU 0: GeForce GTX 1080 I1223 16:55:36.221006 16636 solver.cpp:45] Initializing solver from parameters: test_iter: 1000 test_interval: 1000 base_lr: 0.0005 display: 50 max_iter: 25000 lr_policy: "step" gamma: 0.1 momentum: 0.9 weight_decay: 0.0005 stepsize: 10000 snapshot: 10000 snapshot_prefix: "mscnn_kitti_train_2nd" solver_mode: GPU device_id: 0 random_seed: 1706 net: "trainval_2nd.prototxt" train_state { level: 0 stage: "" } weights: "mscnn_kitti_train_1st_iter_10000.caffemodel" I1223 16:55:36.221540 16636 solver.cpp:102] Creating training net from net file: trainval_2nd.prototxt [libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.NetParameter: 23:23: Message type "caffe.LayerParameter" has no field named "image_gt_data_param". F1223 16:55:36.224159 16636 upgrade_proto.cpp:90] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: trainval_2nd.prototxt Check failure stack trace: @ 0x7f5a1107f5cd google::LogMessage::Fail() @ 0x7f5a11081433 google::LogMessage::SendToLog() @ 0x7f5a1107f15b google::LogMessage::Flush() @ 0x7f5a11081e1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f5a1183dbf1 caffe::ReadNetParamsFromTextFileOrDie() @ 0x7f5a116bb0c5 caffe::Solver<>::InitTrainNet() @ 0x7f5a116bc425 caffe::Solver<>::Init() @ 0x7f5a116bc73f caffe::Solver<>::Solver() @ 0x7f5a118592b1 caffe::Creator_SGDSolver<>() @ 0x40a778 train() @ 0x407568 main @ 0x7f5a0f815830 libc_start_main @ 0x407e39 _start @ (nil) (unknown) Aborted (core dumped) this is my first training a model , and I need your help, thanks! @zhaoweicai