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Appearance-and-Relation Networks
Hi, i met the error when i run "ucf_tsn_112_artnet_resnet_18". What should i do to solve it.
Thanks.
I0903 20:26:30.414449 7488 caffe.cpp:190] Starting Optimization
I0903 20:26:30.414571 7488 solver.cpp:34] Initializing solver from parameters:
test_iter: 475
test_interval: 500
base_lr: 0.001
display: 20
max_iter: 3500
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 0.0005
stepsize: 1500
snapshot: 500
snapshot_prefix: "ucf101_split1_tsn_artnet_seg_2"
solver_mode: GPU
device_id: 2
debug_info: false
net: "ucf_tsn_112_artnet_resnet_18_train_val.prototxt"
test_initialization: true
average_loss: 20
clip_gradients: 40
iter_size: 1
richness: 100
I0903 20:26:30.414624 7488 solver.cpp:75] Creating training net from net file: ucf_tsn_112_artnet_resnet_18_train_val.prototxt
[libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 20:17: Message type "caffe.VideoDataParameter" has no field named "length_first".
F0903 20:26:30.414790 7488 upgrade_proto.cpp:928] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: ucf_tsn_112_artnet_resnet_18_train_val.prototxt
*** Check failure stack trace: ***
@ 0x7f21220b384d google::LogMessage::Fail()
@ 0x7f21220b561c google::LogMessage::SendToLog()
@ 0x7f21220b343c google::LogMessage::Flush()
@ 0x7f21220b5f2e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f2122c56f8e caffe::ReadNetParamsFromTextFileOrDie()
@ 0x7f2122c20832 caffe::Solver<>::InitTrainNet()
@ 0x7f2122c218a3 caffe::Solver<>::Init()
@ 0x7f2122c21a76 caffe::Solver<>::Solver()
@ 0x40f820 caffe::GetSolver<>()
@ 0x4088fa train()
@ 0x406e26 main
@ 0x7f210eaef445 __libc_start_main
@ 0x4073dd (unknown)
@wanglimin Thanks for your nice works!
When I use cmake tools(cmake .. -DUSE_MPI=ON -DMPI_CXX_COMPILER=" /usr/local/bin/mpicxx")to complile the ARTNet code, i see the following logs:
-- Could NOT find Boost
-- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE)
-- Python interface is disabled or not all required dependecies found. Building without it...
Thus, I can not make caffe with python and import caffe successfully. Could you please help me to build it with python? Using make rather than cmake? Thanks in advance!
Why all bias term are "false" in Conv Layers?
I don't understand exactly about the new_length and num_segments。
I download the "112_c3d_resnet_18_kinetics.caffemodel" and remove the FC layers。
And I use the model without FC layer to finetune UCF101 :
if new_length=16, num_segments=1, the top1 got 83%;
and new_length=1 , num_segments=16, the top1 only 78%;
I saw in TSNg github that :new_length=1 ,num_segment=3 may means averagely split the video into 3 segment and take 1 frame from each segment。
How about new_length=16, num_segments=1 ?
Could you offer a new url for pretrained model? Thanks
@wanglimin
When training use https://github.com/yjxiong/caffe
I find when training, the memory is not a fixed value and is becoming larger, and then this happend.
"""
Out of memory: Kill process 33049 (caffe) score 123 or sacrifice child
Killed process 33049 (caffe) total-vm:118020040kB, anon-rss:32252368kB, file-rss:83732kB
"""
It occures when traing ARTNet-18, but C3D-resnet18 is OK. ALL models and prototxt is official released. Is there something I need to modify the code?
Thank you in advance!
Any test code/script for visualize results in terms of images/video?
In paragraph 2 in page 2 of the paper, I think it should be "superior performance to the# existing state-of-the- art methods on this challenging benchmark under the set- ting of training from scratch with only RGB input."
Thang you for your outstanding work!!! Best regards!
Hi,
In your paper, you report a top-1 error of 42.5% when using C3D_ResNet18 with Flow Modality in Table 3.
Could you tell which new_length you use to do the experiment, 8 or 16 ,or other length?
Thank you.
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