tracker output

gistfile1.txt

(venv2) joncrall@calculex:~$ cd ~/code/VIAME/examples/tracking_pipelines
(venv2) joncrall@calculex:~/code/VIAME/examples/tracking_pipelines$ ~/code/VIAME/build-py2/install/bin/pipeline_runner -p ~/code/VIAME/examples/tracking_pipelines/simple_tracker.pipe
INFO: Could not load default logger factory. Using built-in logger.
2017-10-24 11:01:28.483 WARN registration.cxx(96): Path not found loading clusters: /home/joncrall/code/VIAME/build-py2/install/share/sprokit/pipelines/clusters
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:30: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from config import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:31: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from datum import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:35: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from process import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:35: RuntimeWarning: to-Python converter for std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > already registered; second conversion method ignored.
  from process import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:35: RuntimeWarning: to-Python converter for std::set<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > already registered; second conversion method ignored.
  from process import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:36: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from process_factory import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:38: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from scheduler_factory import *
/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/pipeline/__init__.py:40: RuntimeWarning: to-Python converter for std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > already registered; second conversion method ignored.
  from utils import *
[DEBUG] Loading python module: <module 'sprokit.schedulers.pythread_per_process_scheduler' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/schedulers/pythread_per_process_scheduler.pyc'>
[DEBUG] Loading python module: <module 'kwiver.processes.ProcessImage' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/kwiver/processes/ProcessImage.pyc'>
[DEBUG] Loading python module: <module 'kwiver.processes.ApplyDescriptor' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/kwiver/processes/ApplyDescriptor.pyc'>
[DEBUG] Loading python module: <module 'viame.processes.smqtk' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/viame/processes/smqtk/__init__.pyc'>
[DEBUG] Loading python module: <module 'viame.processes.hello_world' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/viame/processes/hello_world/__init__.pyc'>
2017-10-24 11:01:28.789 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vital_log4cplus_logger.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.889 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_raw_descriptor_io_plugin.so: undefined symbol: register_factories
2017-10-24 11:01:28.893 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_logger_mini_logger.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.903 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_track_io_plugin.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.911 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_image_object_io_plugin.so: undefined symbol: register_factories
[DEBUG] Loading python module: <module 'sprokit.schedulers.pythread_per_process_scheduler' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/sprokit/schedulers/pythread_per_process_scheduler.pyc'>
[DEBUG] Loading python module: <module 'kwiver.processes.ProcessImage' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/kwiver/processes/ProcessImage.pyc'>
[DEBUG] Loading python module: <module 'kwiver.processes.ApplyDescriptor' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/kwiver/processes/ApplyDescriptor.pyc'>
[DEBUG] Loading python module: <module 'viame.processes.smqtk' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/viame/processes/smqtk/__init__.pyc'>
[DEBUG] Loading python module: <module 'viame.processes.hello_world' from '/home/joncrall/code/VIAME/build-py2/install/lib/python2.7/site-packages/viame/processes/hello_world/__init__.pyc'>
2017-10-24 11:01:28.913 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vital_log4cplus_logger.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.915 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_raw_descriptor_io_plugin.so: undefined symbol: register_factories
2017-10-24 11:01:28.915 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_logger_mini_logger.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.917 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_track_io_plugin.so: undefined symbol: register_factories
Info: Could not load default logger factory.
Typical usage: export VIDTK_LOGGER_FACTORY=vidtk_logger_plugin.so
Specify name of shared object, with or without a path. Behaviour depends on host system.
Defaulting to built-in logger.
2017-10-24 11:01:28.918 INFO plugin_loader.cxx(420): plugin_loader:: Unable to bind to function "register_factories()" : /home/joncrall/code/VIAME/build-py2/install/lib/modules/vidtk_image_object_io_plugin.so: undefined symbol: register_factories
2017-10-24 11:01:28.926006 INFO descriptor_computer: Loading Parameters
2017-10-24 11:01:28.926508 INFO descriptor_computer: Loading Descriptor Parameters
2017-10-24 11:01:28.926959 INFO descriptor_computer - Configuring cnn
WARNING: Logging before InitGoogleLogging() is written to STDERR
I1024 11:01:29.734653  3435 upgrade_proto.cpp:66] Attempting to upgrade input file specified using deprecated input fields: ./models/default_caffenet.prototxt
I1024 11:01:29.734724  3435 upgrade_proto.cpp:69] Successfully upgraded file specified using deprecated input fields.
W1024 11:01:29.734731  3435 upgrade_proto.cpp:71] Note that future Caffe releases will only support input layers and not input fields.
I1024 11:01:29.735011  3435 net.cpp:58] Initializing net from parameters: 
name: "CaffeNet"
state {
  phase: TEST
  level: 0
}
layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 227
      dim: 227
    }
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 96
    kernel_size: 11
    stride: 4
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm1"
  type: "LRN"
  bottom: "pool1"
  top: "norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "norm1"
  top: "conv2"
  convolution_param {
    num_output: 256
    pad: 2
    kernel_size: 5
    group: 2
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm2"
  type: "LRN"
  bottom: "pool2"
  top: "norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "norm2"
  top: "conv3"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv3"
  top: "conv4"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu4"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "conv4"
  top: "conv5"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu5"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc6"
  inner_product_param {
    num_output: 4096
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "InnerProduct"
  bottom: "fc6"
  top: "fc7"
  inner_product_param {
    num_output: 4096
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc8"
  type: "InnerProduct"
  bottom: "fc7"
  top: "fc8"
  inner_product_param {
    num_output: 1000
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc8"
  top: "prob"
}
I1024 11:01:29.735204  3435 layer_factory.hpp:77] Creating layer input
I1024 11:01:29.735226  3435 net.cpp:100] Creating Layer input
I1024 11:01:29.735515  3435 net.cpp:408] input -> data
I1024 11:01:29.735885  3435 net.cpp:150] Setting up input
I1024 11:01:29.735903  3435 net.cpp:157] Top shape: 1 3 227 227 (154587)
I1024 11:01:29.735906  3435 net.cpp:165] Memory required for data: 618348
I1024 11:01:29.735914  3435 layer_factory.hpp:77] Creating layer conv1
I1024 11:01:29.736116  3435 net.cpp:100] Creating Layer conv1
I1024 11:01:29.736147  3435 net.cpp:434] conv1 <- data
I1024 11:01:29.736184  3435 net.cpp:408] conv1 -> conv1
I1024 11:01:29.736404  3435 net.cpp:150] Setting up conv1
I1024 11:01:29.736415  3435 net.cpp:157] Top shape: 1 96 55 55 (290400)
I1024 11:01:29.736418  3435 net.cpp:165] Memory required for data: 1779948
I1024 11:01:29.736440  3435 layer_factory.hpp:77] Creating layer relu1
I1024 11:01:29.736450  3435 net.cpp:100] Creating Layer relu1
I1024 11:01:29.736459  3435 net.cpp:434] relu1 <- conv1
I1024 11:01:29.736469  3435 net.cpp:395] relu1 -> conv1 (in-place)
I1024 11:01:29.736480  3435 net.cpp:150] Setting up relu1
I1024 11:01:29.736485  3435 net.cpp:157] Top shape: 1 96 55 55 (290400)
I1024 11:01:29.736490  3435 net.cpp:165] Memory required for data: 2941548
I1024 11:01:29.736495  3435 layer_factory.hpp:77] Creating layer pool1
I1024 11:01:29.736505  3435 net.cpp:100] Creating Layer pool1
I1024 11:01:29.736511  3435 net.cpp:434] pool1 <- conv1
I1024 11:01:29.736522  3435 net.cpp:408] pool1 -> pool1
I1024 11:01:29.736567  3435 net.cpp:150] Setting up pool1
I1024 11:01:29.736573  3435 net.cpp:157] Top shape: 1 96 27 27 (69984)
I1024 11:01:29.736578  3435 net.cpp:165] Memory required for data: 3221484
I1024 11:01:29.736584  3435 layer_factory.hpp:77] Creating layer norm1
I1024 11:01:29.736596  3435 net.cpp:100] Creating Layer norm1
I1024 11:01:29.736604  3435 net.cpp:434] norm1 <- pool1
I1024 11:01:29.736618  3435 net.cpp:408] norm1 -> norm1
I1024 11:01:29.736640  3435 net.cpp:150] Setting up norm1
I1024 11:01:29.736650  3435 net.cpp:157] Top shape: 1 96 27 27 (69984)
I1024 11:01:29.736654  3435 net.cpp:165] Memory required for data: 3501420
I1024 11:01:29.736656  3435 layer_factory.hpp:77] Creating layer conv2
I1024 11:01:29.736662  3435 net.cpp:100] Creating Layer conv2
I1024 11:01:29.736666  3435 net.cpp:434] conv2 <- norm1
I1024 11:01:29.736675  3435 net.cpp:408] conv2 -> conv2
I1024 11:01:29.737217  3435 net.cpp:150] Setting up conv2
I1024 11:01:29.737227  3435 net.cpp:157] Top shape: 1 256 27 27 (186624)
I1024 11:01:29.737231  3435 net.cpp:165] Memory required for data: 4247916
I1024 11:01:29.737241  3435 layer_factory.hpp:77] Creating layer relu2
I1024 11:01:29.737246  3435 net.cpp:100] Creating Layer relu2
I1024 11:01:29.737251  3435 net.cpp:434] relu2 <- conv2
I1024 11:01:29.737257  3435 net.cpp:395] relu2 -> conv2 (in-place)
I1024 11:01:29.737268  3435 net.cpp:150] Setting up relu2
I1024 11:01:29.737277  3435 net.cpp:157] Top shape: 1 256 27 27 (186624)
I1024 11:01:29.737280  3435 net.cpp:165] Memory required for data: 4994412
I1024 11:01:29.737283  3435 layer_factory.hpp:77] Creating layer pool2
I1024 11:01:29.737288  3435 net.cpp:100] Creating Layer pool2
I1024 11:01:29.737291  3435 net.cpp:434] pool2 <- conv2
I1024 11:01:29.737298  3435 net.cpp:408] pool2 -> pool2
I1024 11:01:29.737310  3435 net.cpp:150] Setting up pool2
I1024 11:01:29.737316  3435 net.cpp:157] Top shape: 1 256 13 13 (43264)
I1024 11:01:29.737323  3435 net.cpp:165] Memory required for data: 5167468
I1024 11:01:29.737327  3435 layer_factory.hpp:77] Creating layer norm2
I1024 11:01:29.737339  3435 net.cpp:100] Creating Layer norm2
I1024 11:01:29.737346  3435 net.cpp:434] norm2 <- pool2
I1024 11:01:29.737359  3435 net.cpp:408] norm2 -> norm2
I1024 11:01:29.737376  3435 net.cpp:150] Setting up norm2
I1024 11:01:29.737385  3435 net.cpp:157] Top shape: 1 256 13 13 (43264)
I1024 11:01:29.737391  3435 net.cpp:165] Memory required for data: 5340524
I1024 11:01:29.737397  3435 layer_factory.hpp:77] Creating layer conv3
I1024 11:01:29.737406  3435 net.cpp:100] Creating Layer conv3
I1024 11:01:29.737414  3435 net.cpp:434] conv3 <- norm2
I1024 11:01:29.737426  3435 net.cpp:408] conv3 -> conv3
I1024 11:01:29.738327  3435 net.cpp:150] Setting up conv3
I1024 11:01:29.738339  3435 net.cpp:157] Top shape: 1 384 13 13 (64896)
I1024 11:01:29.738345  3435 net.cpp:165] Memory required for data: 5600108
I1024 11:01:29.738364  3435 layer_factory.hpp:77] Creating layer relu3
I1024 11:01:29.738374  3435 net.cpp:100] Creating Layer relu3
I1024 11:01:29.738382  3435 net.cpp:434] relu3 <- conv3
I1024 11:01:29.738394  3435 net.cpp:395] relu3 -> conv3 (in-place)
I1024 11:01:29.738406  3435 net.cpp:150] Setting up relu3
I1024 11:01:29.738415  3435 net.cpp:157] Top shape: 1 384 13 13 (64896)
I1024 11:01:29.738420  3435 net.cpp:165] Memory required for data: 5859692
I1024 11:01:29.738427  3435 layer_factory.hpp:77] Creating layer conv4
I1024 11:01:29.738440  3435 net.cpp:100] Creating Layer conv4
I1024 11:01:29.738448  3435 net.cpp:434] conv4 <- conv3
I1024 11:01:29.738461  3435 net.cpp:408] conv4 -> conv4
I1024 11:01:29.739543  3435 net.cpp:150] Setting up conv4
I1024 11:01:29.739557  3435 net.cpp:157] Top shape: 1 384 13 13 (64896)
I1024 11:01:29.739562  3435 net.cpp:165] Memory required for data: 6119276
I1024 11:01:29.739573  3435 layer_factory.hpp:77] Creating layer relu4
I1024 11:01:29.739583  3435 net.cpp:100] Creating Layer relu4
I1024 11:01:29.739588  3435 net.cpp:434] relu4 <- conv4
I1024 11:01:29.739595  3435 net.cpp:395] relu4 -> conv4 (in-place)
I1024 11:01:29.739603  3435 net.cpp:150] Setting up relu4
I1024 11:01:29.739606  3435 net.cpp:157] Top shape: 1 384 13 13 (64896)
I1024 11:01:29.739609  3435 net.cpp:165] Memory required for data: 6378860
I1024 11:01:29.739611  3435 layer_factory.hpp:77] Creating layer conv5
I1024 11:01:29.739619  3435 net.cpp:100] Creating Layer conv5
I1024 11:01:29.739622  3435 net.cpp:434] conv5 <- conv4
I1024 11:01:29.739629  3435 net.cpp:408] conv5 -> conv5
I1024 11:01:29.740362  3435 net.cpp:150] Setting up conv5
I1024 11:01:29.740370  3435 net.cpp:157] Top shape: 1 256 13 13 (43264)
I1024 11:01:29.740375  3435 net.cpp:165] Memory required for data: 6551916
I1024 11:01:29.740391  3435 layer_factory.hpp:77] Creating layer relu5
I1024 11:01:29.740401  3435 net.cpp:100] Creating Layer relu5
I1024 11:01:29.740408  3435 net.cpp:434] relu5 <- conv5
I1024 11:01:29.740418  3435 net.cpp:395] relu5 -> conv5 (in-place)
I1024 11:01:29.740428  3435 net.cpp:150] Setting up relu5
I1024 11:01:29.740437  3435 net.cpp:157] Top shape: 1 256 13 13 (43264)
I1024 11:01:29.740442  3435 net.cpp:165] Memory required for data: 6724972
I1024 11:01:29.740447  3435 layer_factory.hpp:77] Creating layer pool5
I1024 11:01:29.740456  3435 net.cpp:100] Creating Layer pool5
I1024 11:01:29.740463  3435 net.cpp:434] pool5 <- conv5
I1024 11:01:29.740469  3435 net.cpp:408] pool5 -> pool5
I1024 11:01:29.740481  3435 net.cpp:150] Setting up pool5
I1024 11:01:29.740485  3435 net.cpp:157] Top shape: 1 256 6 6 (9216)
I1024 11:01:29.740487  3435 net.cpp:165] Memory required for data: 6761836
I1024 11:01:29.740489  3435 layer_factory.hpp:77] Creating layer fc6
I1024 11:01:29.740499  3435 net.cpp:100] Creating Layer fc6
I1024 11:01:29.740504  3435 net.cpp:434] fc6 <- pool5
I1024 11:01:29.740514  3435 net.cpp:408] fc6 -> fc6
I1024 11:01:29.762513  3435 net.cpp:150] Setting up fc6
I1024 11:01:29.762552  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.762557  3435 net.cpp:165] Memory required for data: 6778220
I1024 11:01:29.762590  3435 layer_factory.hpp:77] Creating layer relu6
I1024 11:01:29.762599  3435 net.cpp:100] Creating Layer relu6
I1024 11:01:29.762624  3435 net.cpp:434] relu6 <- fc6
I1024 11:01:29.762636  3435 net.cpp:395] relu6 -> fc6 (in-place)
I1024 11:01:29.762650  3435 net.cpp:150] Setting up relu6
I1024 11:01:29.762655  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.762658  3435 net.cpp:165] Memory required for data: 6794604
I1024 11:01:29.762683  3435 layer_factory.hpp:77] Creating layer drop6
I1024 11:01:29.762694  3435 net.cpp:100] Creating Layer drop6
I1024 11:01:29.762699  3435 net.cpp:434] drop6 <- fc6
I1024 11:01:29.762706  3435 net.cpp:395] drop6 -> fc6 (in-place)
I1024 11:01:29.762735  3435 net.cpp:150] Setting up drop6
I1024 11:01:29.762753  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.762755  3435 net.cpp:165] Memory required for data: 6810988
I1024 11:01:29.762758  3435 layer_factory.hpp:77] Creating layer fc7
I1024 11:01:29.762783  3435 net.cpp:100] Creating Layer fc7
I1024 11:01:29.762786  3435 net.cpp:434] fc7 <- fc6
I1024 11:01:29.762794  3435 net.cpp:408] fc7 -> fc7
I1024 11:01:29.772665  3435 net.cpp:150] Setting up fc7
I1024 11:01:29.772701  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.772702  3435 net.cpp:165] Memory required for data: 6827372
I1024 11:01:29.772712  3435 layer_factory.hpp:77] Creating layer relu7
I1024 11:01:29.772764  3435 net.cpp:100] Creating Layer relu7
I1024 11:01:29.772789  3435 net.cpp:434] relu7 <- fc7
I1024 11:01:29.772821  3435 net.cpp:395] relu7 -> fc7 (in-place)
I1024 11:01:29.772846  3435 net.cpp:150] Setting up relu7
I1024 11:01:29.772850  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.772852  3435 net.cpp:165] Memory required for data: 6843756
I1024 11:01:29.772855  3435 layer_factory.hpp:77] Creating layer drop7
I1024 11:01:29.772860  3435 net.cpp:100] Creating Layer drop7
I1024 11:01:29.772862  3435 net.cpp:434] drop7 <- fc7
I1024 11:01:29.772867  3435 net.cpp:395] drop7 -> fc7 (in-place)
I1024 11:01:29.772874  3435 net.cpp:150] Setting up drop7
I1024 11:01:29.772877  3435 net.cpp:157] Top shape: 1 4096 (4096)
I1024 11:01:29.772881  3435 net.cpp:165] Memory required for data: 6860140
I1024 11:01:29.772883  3435 layer_factory.hpp:77] Creating layer fc8
I1024 11:01:29.772907  3435 net.cpp:100] Creating Layer fc8
I1024 11:01:29.772909  3435 net.cpp:434] fc8 <- fc7
I1024 11:01:29.772915  3435 net.cpp:408] fc8 -> fc8
I1024 11:01:29.775275  3435 net.cpp:150] Setting up fc8
I1024 11:01:29.775308  3435 net.cpp:157] Top shape: 1 1000 (1000)
I1024 11:01:29.775310  3435 net.cpp:165] Memory required for data: 6864140
I1024 11:01:29.775319  3435 layer_factory.hpp:77] Creating layer prob
I1024 11:01:29.775327  3435 net.cpp:100] Creating Layer prob
I1024 11:01:29.775336  3435 net.cpp:434] prob <- fc8
I1024 11:01:29.775362  3435 net.cpp:408] prob -> prob
I1024 11:01:29.775382  3435 net.cpp:150] Setting up prob
I1024 11:01:29.775399  3435 net.cpp:157] Top shape: 1 1000 (1000)
I1024 11:01:29.775401  3435 net.cpp:165] Memory required for data: 6868140
I1024 11:01:29.775424  3435 net.cpp:228] prob does not need backward computation.
I1024 11:01:29.775432  3435 net.cpp:228] fc8 does not need backward computation.
I1024 11:01:29.775435  3435 net.cpp:228] drop7 does not need backward computation.
I1024 11:01:29.775439  3435 net.cpp:228] relu7 does not need backward computation.
I1024 11:01:29.775441  3435 net.cpp:228] fc7 does not need backward computation.
I1024 11:01:29.775444  3435 net.cpp:228] drop6 does not need backward computation.
I1024 11:01:29.775447  3435 net.cpp:228] relu6 does not need backward computation.
I1024 11:01:29.775450  3435 net.cpp:228] fc6 does not need backward computation.
I1024 11:01:29.775454  3435 net.cpp:228] pool5 does not need backward computation.
I1024 11:01:29.775475  3435 net.cpp:228] relu5 does not need backward computation.
I1024 11:01:29.775477  3435 net.cpp:228] conv5 does not need backward computation.
I1024 11:01:29.775480  3435 net.cpp:228] relu4 does not need backward computation.
I1024 11:01:29.775483  3435 net.cpp:228] conv4 does not need backward computation.
I1024 11:01:29.775486  3435 net.cpp:228] relu3 does not need backward computation.
I1024 11:01:29.775490  3435 net.cpp:228] conv3 does not need backward computation.
I1024 11:01:29.775498  3435 net.cpp:228] norm2 does not need backward computation.
I1024 11:01:29.775502  3435 net.cpp:228] pool2 does not need backward computation.
I1024 11:01:29.775518  3435 net.cpp:228] relu2 does not need backward computation.
I1024 11:01:29.775521  3435 net.cpp:228] conv2 does not need backward computation.
I1024 11:01:29.775524  3435 net.cpp:228] norm1 does not need backward computation.
I1024 11:01:29.775527  3435 net.cpp:228] pool1 does not need backward computation.
I1024 11:01:29.775530  3435 net.cpp:228] relu1 does not need backward computation.
I1024 11:01:29.775532  3435 net.cpp:228] conv1 does not need backward computation.
I1024 11:01:29.775535  3435 net.cpp:228] input does not need backward computation.
I1024 11:01:29.775538  3435 net.cpp:270] This network produces output prob
I1024 11:01:29.775604  3435 net.cpp:283] Network initialization done.
I1024 11:01:30.217996  3435 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ./models/default_caffenet.caffemodel
I1024 11:01:30.218031  3435 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W1024 11:01:30.218034  3435 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I1024 11:01:30.218035  3435 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ./models/default_caffenet.caffemodel
I1024 11:01:30.308318  3435 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I1024 11:01:30.308820  3435 net.cpp:761] Ignoring source layer data
I1024 11:01:30.337713  3435 net.cpp:761] Ignoring source layer loss
layer     filters    size              input                output
    0 conv     32  3 x 3 / 1   544 x 544 x   3   ->   544 x 544 x  32
    1 max          2 x 2 / 2   544 x 544 x  32   ->   272 x 272 x  32
    2 conv     64  3 x 3 / 1   272 x 272 x  32   ->   272 x 272 x  64
    3 max          2 x 2 / 2   272 x 272 x  64   ->   136 x 136 x  64
    4 conv    128  3 x 3 / 1   136 x 136 x  64   ->   136 x 136 x 128
    5 conv     64  1 x 1 / 1   136 x 136 x 128   ->   136 x 136 x  64
    6 conv    128  3 x 3 / 1   136 x 136 x  64   ->   136 x 136 x 128
    7 max          2 x 2 / 2   136 x 136 x 128   ->    68 x  68 x 128
    8 conv    256  3 x 3 / 1    68 x  68 x 128   ->    68 x  68 x 256
    9 conv    128  1 x 1 / 1    68 x  68 x 256   ->    68 x  68 x 128
   10 conv    256  3 x 3 / 1    68 x  68 x 128   ->    68 x  68 x 256
   11 max          2 x 2 / 2    68 x  68 x 256   ->    34 x  34 x 256
   12 conv    512  3 x 3 / 1    34 x  34 x 256   ->    34 x  34 x 512
   13 conv    256  1 x 1 / 1    34 x  34 x 512   ->    34 x  34 x 256
   14 conv    512  3 x 3 / 1    34 x  34 x 256   ->    34 x  34 x 512
   15 conv    256  1 x 1 / 1    34 x  34 x 512   ->    34 x  34 x 256
   16 conv    512  3 x 3 / 1    34 x  34 x 256   ->    34 x  34 x 512
   17 max          2 x 2 / 2    34 x  34 x 512   ->    17 x  17 x 512
   18 conv   1024  3 x 3 / 1    17 x  17 x 512   ->    17 x  17 x1024
   19 conv    512  1 x 1 / 1    17 x  17 x1024   ->    17 x  17 x 512
   20 conv   1024  3 x 3 / 1    17 x  17 x 512   ->    17 x  17 x1024
   21 conv    512  1 x 1 / 1    17 x  17 x1024   ->    17 x  17 x 512
   22 conv   1024  3 x 3 / 1    17 x  17 x 512   ->    17 x  17 x1024
   23 conv   1024  3 x 3 / 1    17 x  17 x1024   ->    17 x  17 x1024
   24 conv   1024  3 x 3 / 1    17 x  17 x1024   ->    17 x  17 x1024
   25 route  16
   26 reorg              / 2    34 x  34 x 512   ->    17 x  17 x2048
   27 route  26 24
   28 conv   1024  3 x 3 / 1    17 x  17 x3072   ->    17 x  17 x1024
   29 conv     35  1 x 1 / 1    17 x  17 x1024   ->    17 x  17 x  35
   30 detection
mask_scale: Using default '1.000000'
Loading weights from ../detector_pipelines/models/model2.weights...Done!
Time to Detect Objects - elapsed time: 0.228399 sec
W1024 11:01:36.354290  3449 net.cpp:580] DEPRECATED: Forward(bottom, loss) will be removed in a future version. Use Forward(loss).
Time to Detect Objects - elapsed time: 0.729188 sec
Time to Detect Objects - elapsed time: 0.60264 sec
Time to Detect Objects - elapsed time: 0.524565 sec
Time to Detect Objects - elapsed time: 0.681781 sec
Time to Detect Objects - elapsed time: 0.908131 sec
Time to Detect Objects - elapsed time: 0.65412 sec
Time to Detect Objects - elapsed time: 0.714797 sec
Time to Detect Objects - elapsed time: 0.603314 sec
Time to Detect Objects - elapsed time: 0.710983 sec
Time to Detect Objects - elapsed time: 0.656781 sec
Time to Detect Objects - elapsed time: 0.684522 sec
Time to Detect Objects - elapsed time: 0.764652 sec
Time to Detect Objects - elapsed time: 0.566984 sec
Time to Detect Objects - elapsed time: 0.773004 sec
Time to Detect Objects - elapsed time: 0.708894 sec
Time to Detect Objects - elapsed time: 0.671928 sec