raccoon_dataset tensorboard does not show any images during training

tensorboard does not show any images during training

Open arasharchor opened this issue 6 years ago • 0 comments

when the training is started, I open another terminal for tensorboard. after running tensorboard command, an errors says dataImageScrc not found. Also in the website interface, one reads "No image data was found." I am using the latest version of mozilla firefox, tensorflow 1.5

$ tensorboard --logdir=data/
2018-04-21 15:12:12.091499: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-04-21 15:12:12.245584: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-04-21 15:12:12.245850: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: 
name: GeForce GTX 1060 with Max-Q Design major: 6 minor: 1 memoryClockRate(GHz): 1.3415
pciBusID: 0000:01:00.0
totalMemory: 5,94GiB freeMemory: 142,56MiB
2018-04-21 15:12:12.245894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0
2018-04-21 15:12:12.666629: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-04-21 15:12:12.666668: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917]      0 
2018-04-21 15:12:12.666674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0:   N 
TensorBoard 1.7.0 at http://majid:6006 (Press CTRL+C to quit)
W0421 15:12:26.915842 Thread-1 application.py:272] path /[[_dataImageSrc]] not found, sending 404
W0421 15:12:26.916506 Thread-4 application.py:272] path /[[_imageURL]] not found, sending 404

when I run

$tensorboard --logdir=data/ --inspect
======================================================================
Processing event files... (this can take a few minutes)
======================================================================

Found event files in:
data/

These tags are in data/:
audio -
histograms
   ModelVars/BoxPredictor_0/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_0/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_0/ClassPredictor/biases
   ModelVars/BoxPredictor_0/ClassPredictor/weights
   ModelVars/BoxPredictor_1/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_1/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_1/ClassPredictor/biases
   ModelVars/BoxPredictor_1/ClassPredictor/weights
   ModelVars/BoxPredictor_2/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_2/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_2/ClassPredictor/biases
   ModelVars/BoxPredictor_2/ClassPredictor/weights
   ModelVars/BoxPredictor_3/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_3/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_3/ClassPredictor/biases
   ModelVars/BoxPredictor_3/ClassPredictor/weights
   ModelVars/BoxPredictor_4/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_4/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_4/ClassPredictor/biases
   ModelVars/BoxPredictor_4/ClassPredictor/weights
   ModelVars/BoxPredictor_5/BoxEncodingPredictor/biases
   ModelVars/BoxPredictor_5/BoxEncodingPredictor/weights
   ModelVars/BoxPredictor_5/ClassPredictor/biases
   ModelVars/BoxPredictor_5/ClassPredictor/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_0/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/depthwise_weights
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/beta
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/gamma
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_mean
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_variance
   ModelVars/FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/weights
images -
scalars
   LearningRate/LearningRate/learning_rate
   Loss/HardExampleMiner/NumNegatives
   Loss/HardExampleMiner/NumPositives
   Losses/Loss/classification_loss
   Losses/Loss/localization_loss
   Losses/TotalLoss
   Losses/clone_loss
   Losses/regularization_loss
   TargetAssignment/Loss/TargetAssignment/AvgNumGroundtruthBoxesPerImage
   TargetAssignment/Loss/TargetAssignment/AvgNumIgnoredAnchorsPerImage
   TargetAssignment/Loss/TargetAssignment/AvgNumNegativeAnchorsPerImage
   TargetAssignment/Loss/TargetAssignment/AvgNumPositiveAnchorsPerImage
   batch/fraction_of_150_full
   global_step/sec
   queue/prefetch_queue/fraction_of_5_full
tensor -
======================================================================

Event statistics for data/:
audio -
graph
   first_step           0
   last_step            0
   max_step             0
   min_step             0
   num_steps            1
   outoforder_steps     []
histograms
   first_step           0
   last_step            1066
   max_step             1066
   min_step             0
   num_steps            9
   outoforder_steps     []
images -
scalars
   first_step           0
   last_step            1068
   max_step             1068
   min_step             0
   num_steps            17
   outoforder_steps     []
sessionlog:checkpoint
   first_step           0
   last_step            666
   max_step             666
   min_step             0
   num_steps            2
   outoforder_steps     []
sessionlog:start
   outoforder_steps     []
   steps                [0]
sessionlog:stop -
tensor -

Apr 21 '18 13:04 arasharchor

raccoon_dataset raccoon_dataset copied to clipboard

tensorboard does not show any images during training

raccoon_dataset
raccoon_dataset copied to clipboard