エラーになった。 transfer_learn/train がすでに存在することがだめらしい。mkdir: cannot create directory '/tensorflow/models/research/slim/transfer_learn/train': File exists
root@abedb1f7136c:/tensorflow/models/research/slim# ./start_training.sh --network_type mobilenet_v1 --train_whole_model true
+ network_type=mobilenet_v1
+ train_whole_model=false
+ train_steps=300
+ quantize_delay=100
+ [[ 4 -gt 0 ]]
+ case "$1" in
+ network_type=mobilenet_v1
+ shift 2
+ [[ 2 -gt 0 ]]
+ case "$1" in
+ train_whole_model=true
+ shift 2
+ [[ 0 -gt 0 ]]
+ source /tensorflow/models/research/slim/constants.sh
++ declare -A ckpt_link_map
++ declare -A ckpt_name_map
++ declare -A image_size_map
++ declare -A scopes_map
++ declare -A input_tensors_map
++ declare -A output_tensors_map
++ ckpt_link_map["mobilenet_v1"]=http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
++ ckpt_link_map["mobilenet_v2"]=http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz
++ ckpt_link_map["inception_v1"]=http://download.tensorflow.org/models/inception_v1_224_quant_20181026.tgz
++ ckpt_link_map["inception_v2"]=http://download.tensorflow.org/models/inception_v2_224_quant_20181026.tgz
++ ckpt_link_map["inception_v3"]=http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz
++ ckpt_link_map["inception_v4"]=http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz
++ ckpt_name_map["mobilenet_v1"]=mobilenet_v1_1.0_224_quant
++ ckpt_name_map["mobilenet_v2"]=mobilenet_v2_1.0_224_quant
++ ckpt_name_map["inception_v1"]=inception_v1_224_quant
++ ckpt_name_map["inception_v2"]=inception_v2_224_quant
++ ckpt_name_map["inception_v3"]=inception_v3_quant
++ ckpt_name_map["inception_v4"]=inception_v4_299_quant
++ image_size_map["mobilenet_v1"]=224
++ image_size_map["mobilenet_v2"]=224
++ image_size_map["inception_v1"]=224
++ image_size_map["inception_v2"]=224
++ image_size_map["inception_v3"]=299
++ image_size_map["inception_v4"]=299
++ scopes_map["mobilenet_v1"]=MobilenetV1/Logits
++ scopes_map["mobilenet_v2"]=MobilenetV2/Logits
++ scopes_map["inception_v1"]=InceptionV1/Logits
++ scopes_map["inception_v2"]=InceptionV2/Logits
++ scopes_map["inception_v3"]=InceptionV3/Logits,InceptionV3/AuxLogits
++ scopes_map["inception_v4"]=InceptionV4/Logits,InceptionV4/AuxLogits
++ input_tensors_map["mobilenet_v1"]=input
++ input_tensors_map["mobilenet_v2"]=input
++ input_tensors_map["inception_v1"]=input
++ input_tensors_map["inception_v2"]=input
++ input_tensors_map["inception_v3"]=input
++ input_tensors_map["inception_v4"]=input
++ output_tensors_map["mobilenet_v1"]=MobilenetV1/Predictions/Reshape_1
++ output_tensors_map["mobilenet_v2"]=MobilenetV2/Predictions/Softmax
++ output_tensors_map["inception_v1"]=InceptionV1/Logits/Predictions/Softmax
++ output_tensors_map["inception_v2"]=InceptionV2/Predictions/Reshape_1
++ output_tensors_map["inception_v3"]=InceptionV3/Predictions/Reshape_1
++ output_tensors_map["inception_v4"]=InceptionV4/Logits/Predictions
++ SLIM_DIR=/tensorflow/models/research/slim
++ LEARN_DIR=/tensorflow/models/research/slim/transfer_learn
++ CKPT_DIR=/tensorflow/models/research/slim/transfer_learn/ckpt
++ DATASET_DIR=/tensorflow/models/research/slim/transfer_learn/flowers
++ TRAIN_DIR=/tensorflow/models/research/slim/transfer_learn/train
++ OUTPUT_DIR=/tensorflow/models/research/slim/transfer_learn/models
+ mkdir /tensorflow/models/research/slim/transfer_learn/train
+ image_size=224
+ ckpt_name=mobilenet_v1_1.0_224_quant
+ scopes=MobilenetV1/Logits
+ [[ true == \t\r\u\e ]]
+ echo 'TRAINING all layers ...'
TRAINING all layers ...
+ python train_image_classifier.py --train_dir=/tensorflow/models/research/slim/transfer_learn/train --dataset_name=flowers --dataset_split_name=train --dataset_dir=/tensorflow/models/research/slim/transfer_learn/flowers --model_name=mobilenet_v1 --checkpoint_path=/tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt --max_number_of_steps=300 --batch_size=100 --learning_rate=0.01 --learning_rate_decay_type=fixed --save_interval_secs=60 --save_summaries_secs=60 --log_every_n_steps=20 --optimizer=sgd --weight_decay=0.00004 --quantize_delay=100 --clone_on_cpu --train_image_size=224 --checkpoint_exclude_scopes=MobilenetV1/Logits
WARNING:tensorflow:From train_image_classifier.py:413: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/training/input.py:187: __init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/training/input.py:187: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From train_image_classifier.py:481: softmax_cross_entropy (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.softmax_cross_entropy instead. Note that the order of the logits and labels arguments has been changed.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:398: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.
See `tf.nn.softmax_cross_entropy_with_logits_v2`.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:399: compute_weighted_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.compute_weighted_loss instead.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:147: add_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.add_loss instead.
INFO:tensorflow:Fine-tuning from /tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/slim/python/slim/learning.py:737: __init__ (from tensorflow.python.training.supervisor) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.MonitoredTrainingSession
2019-03-14 19:43:50.952328: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
INFO:tensorflow:Restoring parameters from /tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:Recording summary at step 0.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0375885
INFO:tensorflow:Recording summary at step 2.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0673802
INFO:tensorflow:Recording summary at step 6.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0499222
INFO:tensorflow:Recording summary at step 9.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0500195
INFO:tensorflow:Recording summary at step 13.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0667236
INFO:tensorflow:Recording summary at step 16.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0500385
INFO:tensorflow:global step 20: loss = 0.7637 (21.146 sec/step)
INFO:tensorflow:Recording summary at step 20.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0666414
INFO:tensorflow:Recording summary at step 23.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0500105
INFO:tensorflow:Recording summary at step 26.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.0665609
INFO:tensorflow:Recording summary at step 30.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 33.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 36.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 39.
INFO:tensorflow:global step 40: loss = 0.7104 (25.263 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 43.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 45.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 49.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 52.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 56.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 59.
INFO:tensorflow:global step 60: loss = 0.5362 (20.882 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 62.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 65.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 68.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 71.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 75.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 78.
INFO:tensorflow:global step 80: loss = 0.5970 (15.896 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 81.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 84.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 88.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 91.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 95.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 98.
INFO:tensorflow:global step 100: loss = 0.5090 (14.821 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 102.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 105.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 108.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 112.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 115.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 119.
INFO:tensorflow:global step 120: loss = 0.4690 (15.645 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 122.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 125.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 128.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 131.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 134.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 138.
INFO:tensorflow:global step 140: loss = 0.2592 (15.237 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 141.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 144.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 147.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 151.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 154.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 157.
INFO:tensorflow:global step 160: loss = 0.3922 (14.742 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 161.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 164.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 168.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 171.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 175.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 178.
INFO:tensorflow:global step 180: loss = 0.2914 (14.689 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 182.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 185.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 189.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 192.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 196.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 199.
INFO:tensorflow:global step 200: loss = 0.5038 (22.475 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 203.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 206.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 210.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 213.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 217.
INFO:tensorflow:global step 220: loss = 0.3047 (15.426 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 220.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 223.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 227.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 230.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 233.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 236.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global step 240: loss = 0.3607 (24.436 sec/step)
INFO:tensorflow:Recording summary at step 240.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 243.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 246.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 249.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 252.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 256.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 259.
INFO:tensorflow:global step 260: loss = 0.2697 (23.522 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 263.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 266.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 270.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 273.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 277.
INFO:tensorflow:global step 280: loss = 0.2771 (14.920 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 280.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 284.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 287.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 290.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 294.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 297.
INFO:tensorflow:global step 300: loss = 0.2972 (14.734 sec/step)
INFO:tensorflow:Stopping Training.
INFO:tensorflow:Finished training! Saving model to disk.
のプロンプトが表示された。root@abedb1f7136c:/tensorflow/models/research/slim#
root@abedb1f7136c:/tensorflow/models/research/slim# ./prepare_checkpoint_and_dataset.sh --network_type mobilenet_v1
+ network_type=mobilenet_v1
+ [[ 2 -gt 0 ]]
+ case "$1" in
+ network_type=mobilenet_v1
+ shift 2
+ [[ 0 -gt 0 ]]
+ source /tensorflow/models/research/slim/constants.sh
++ declare -A ckpt_link_map
++ declare -A ckpt_name_map
++ declare -A image_size_map
++ declare -A scopes_map
++ declare -A input_tensors_map
++ declare -A output_tensors_map
++ ckpt_link_map["mobilenet_v1"]=http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
++ ckpt_link_map["mobilenet_v2"]=http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz
++ ckpt_link_map["inception_v1"]=http://download.tensorflow.org/models/inception_v1_224_quant_20181026.tgz
++ ckpt_link_map["inception_v2"]=http://download.tensorflow.org/models/inception_v2_224_quant_20181026.tgz
++ ckpt_link_map["inception_v3"]=http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz
++ ckpt_link_map["inception_v4"]=http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz
++ ckpt_name_map["mobilenet_v1"]=mobilenet_v1_1.0_224_quant
++ ckpt_name_map["mobilenet_v2"]=mobilenet_v2_1.0_224_quant
++ ckpt_name_map["inception_v1"]=inception_v1_224_quant
++ ckpt_name_map["inception_v2"]=inception_v2_224_quant
++ ckpt_name_map["inception_v3"]=inception_v3_quant
++ ckpt_name_map["inception_v4"]=inception_v4_299_quant
++ image_size_map["mobilenet_v1"]=224
++ image_size_map["mobilenet_v2"]=224
++ image_size_map["inception_v1"]=224
++ image_size_map["inception_v2"]=224
++ image_size_map["inception_v3"]=299
++ image_size_map["inception_v4"]=299
++ scopes_map["mobilenet_v1"]=MobilenetV1/Logits
++ scopes_map["mobilenet_v2"]=MobilenetV2/Logits
++ scopes_map["inception_v1"]=InceptionV1/Logits
++ scopes_map["inception_v2"]=InceptionV2/Logits
++ scopes_map["inception_v3"]=InceptionV3/Logits,InceptionV3/AuxLogits
++ scopes_map["inception_v4"]=InceptionV4/Logits,InceptionV4/AuxLogits
++ input_tensors_map["mobilenet_v1"]=input
++ input_tensors_map["mobilenet_v2"]=input
++ input_tensors_map["inception_v1"]=input
++ input_tensors_map["inception_v2"]=input
++ input_tensors_map["inception_v3"]=input
++ input_tensors_map["inception_v4"]=input
++ output_tensors_map["mobilenet_v1"]=MobilenetV1/Predictions/Reshape_1
++ output_tensors_map["mobilenet_v2"]=MobilenetV2/Predictions/Softmax
++ output_tensors_map["inception_v1"]=InceptionV1/Logits/Predictions/Softmax
++ output_tensors_map["inception_v2"]=InceptionV2/Predictions/Reshape_1
++ output_tensors_map["inception_v3"]=InceptionV3/Predictions/Reshape_1
++ output_tensors_map["inception_v4"]=InceptionV4/Logits/Predictions
++ SLIM_DIR=/tensorflow/models/research/slim
++ LEARN_DIR=/tensorflow/models/research/slim/transfer_learn
++ CKPT_DIR=/tensorflow/models/research/slim/transfer_learn/ckpt
++ DATASET_DIR=/tensorflow/models/research/slim/transfer_learn/flowers
++ TRAIN_DIR=/tensorflow/models/research/slim/transfer_learn/train
++ OUTPUT_DIR=/tensorflow/models/research/slim/transfer_learn/models
+ echo 'PREPARING checkpoint ...'
PREPARING checkpoint ...
+ mkdir -p /tensorflow/models/research/slim/transfer_learn
+ mkdir /tensorflow/models/research/slim/transfer_learn/ckpt
+ cd /tensorflow/models/research/slim/transfer_learn/ckpt
+ ckpt_link=http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
+ ckpt_name=mobilenet_v1_1.0_224_quant
+ wget -O mobilenet_v1_1.0_224_quant.tgz http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
--2019-03-12 11:22:56-- http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
Resolving download.tensorflow.org (download.tensorflow.org)... 172.217.25.208, 2404:6800:4004:818::2010
Connecting to download.tensorflow.org (download.tensorflow.org)|172.217.25.208|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 35069912 (33M) [application/x-compressed-tar]
Saving to: 'mobilenet_v1_1.0_224_quant.tgz'
mobilenet_v1_1.0_22 100%[===================>] 33.44M 9.83MB/s in 3.4s
2019-03-12 11:23:00 (9.83 MB/s) - 'mobilenet_v1_1.0_224_quant.tgz' saved [35069912/35069912]
+ tar zxvf mobilenet_v1_1.0_224_quant.tgz
./
./mobilenet_v1_1.0_224_quant.ckpt.index
./mobilenet_v1_1.0_224_quant_eval.pbtxt
./mobilenet_v1_1.0_224_quant_info.txt
./mobilenet_v1_1.0_224_quant.ckpt.data-00000-of-00001
./mobilenet_v1_1.0_224_quant.tflite
./mobilenet_v1_1.0_224_quant.ckpt.meta
./mobilenet_v1_1.0_224_quant_frozen.pb
+ echo 'PREPARING dataset ...'
PREPARING dataset ...
+ mkdir /tensorflow/models/research/slim/transfer_learn/flowers
+ cd /tensorflow/models/research/slim
+ python download_and_convert_data.py --dataset_name=flowers --dataset_dir=/tensorflow/models/research/slim/transfer_learn/flowers
>> Downloading flower_photos.tgz 100.0%
Successfully downloaded flower_photos.tgz 228813984 bytes.
2019-03-12 11:23:25.559151: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
>> Converting image 3320/3320 shard 4
>> Converting image 350/350 shard 4
Finished converting the Flowers dataset!
+ echo 'CHECKPOINT and dataset available in /tensorflow/models/research/slim/transfer_learn'
CHECKPOINT and dataset available in /tensorflow/models/research/slim/transfer_learn
root@abedb1f7136c:/tensorflow/models/research/slim# ./start_training.sh --network_type mobilenet_v1
+ network_type=mobilenet_v1
+ train_whole_model=false
+ train_steps=300
+ quantize_delay=100
+ [[ 2 -gt 0 ]]
+ case "$1" in
+ network_type=mobilenet_v1
+ shift 2
+ [[ 0 -gt 0 ]]
+ source /tensorflow/models/research/slim/constants.sh
++ declare -A ckpt_link_map
++ declare -A ckpt_name_map
++ declare -A image_size_map
++ declare -A scopes_map
++ declare -A input_tensors_map
++ declare -A output_tensors_map
++ ckpt_link_map["mobilenet_v1"]=http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz
++ ckpt_link_map["mobilenet_v2"]=http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz
++ ckpt_link_map["inception_v1"]=http://download.tensorflow.org/models/inception_v1_224_quant_20181026.tgz
++ ckpt_link_map["inception_v2"]=http://download.tensorflow.org/models/inception_v2_224_quant_20181026.tgz
++ ckpt_link_map["inception_v3"]=http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz
++ ckpt_link_map["inception_v4"]=http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz
++ ckpt_name_map["mobilenet_v1"]=mobilenet_v1_1.0_224_quant
++ ckpt_name_map["mobilenet_v2"]=mobilenet_v2_1.0_224_quant
++ ckpt_name_map["inception_v1"]=inception_v1_224_quant
++ ckpt_name_map["inception_v2"]=inception_v2_224_quant
++ ckpt_name_map["inception_v3"]=inception_v3_quant
++ ckpt_name_map["inception_v4"]=inception_v4_299_quant
++ image_size_map["mobilenet_v1"]=224
++ image_size_map["mobilenet_v2"]=224
++ image_size_map["inception_v1"]=224
++ image_size_map["inception_v2"]=224
++ image_size_map["inception_v3"]=299
++ image_size_map["inception_v4"]=299
++ scopes_map["mobilenet_v1"]=MobilenetV1/Logits
++ scopes_map["mobilenet_v2"]=MobilenetV2/Logits
++ scopes_map["inception_v1"]=InceptionV1/Logits
++ scopes_map["inception_v2"]=InceptionV2/Logits
++ scopes_map["inception_v3"]=InceptionV3/Logits,InceptionV3/AuxLogits
++ scopes_map["inception_v4"]=InceptionV4/Logits,InceptionV4/AuxLogits
++ input_tensors_map["mobilenet_v1"]=input
++ input_tensors_map["mobilenet_v2"]=input
++ input_tensors_map["inception_v1"]=input
++ input_tensors_map["inception_v2"]=input
++ input_tensors_map["inception_v3"]=input
++ input_tensors_map["inception_v4"]=input
++ output_tensors_map["mobilenet_v1"]=MobilenetV1/Predictions/Reshape_1
++ output_tensors_map["mobilenet_v2"]=MobilenetV2/Predictions/Softmax
++ output_tensors_map["inception_v1"]=InceptionV1/Logits/Predictions/Softmax
++ output_tensors_map["inception_v2"]=InceptionV2/Predictions/Reshape_1
++ output_tensors_map["inception_v3"]=InceptionV3/Predictions/Reshape_1
++ output_tensors_map["inception_v4"]=InceptionV4/Logits/Predictions
++ SLIM_DIR=/tensorflow/models/research/slim
++ LEARN_DIR=/tensorflow/models/research/slim/transfer_learn
++ CKPT_DIR=/tensorflow/models/research/slim/transfer_learn/ckpt
++ DATASET_DIR=/tensorflow/models/research/slim/transfer_learn/flowers
++ TRAIN_DIR=/tensorflow/models/research/slim/transfer_learn/train
++ OUTPUT_DIR=/tensorflow/models/research/slim/transfer_learn/models
+ mkdir /tensorflow/models/research/slim/transfer_learn/train
+ image_size=224
+ ckpt_name=mobilenet_v1_1.0_224_quant
+ scopes=MobilenetV1/Logits
+ [[ false == \t\r\u\e ]]
+ echo 'TRAINING last few layers ...'
TRAINING last few layers ...
+ python train_image_classifier.py --train_dir=/tensorflow/models/research/slim/transfer_learn/train --dataset_name=flowers --dataset_split_name=train --dataset_dir=/tensorflow/models/research/slim/transfer_learn/flowers --model_name=mobilenet_v1 --checkpoint_path=/tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt --max_number_of_steps=300 --batch_size=100 --learning_rate=0.01 --learning_rate_decay_type=fixed --save_interval_secs=60 --save_summaries_secs=60 --log_every_n_steps=20 --optimizer=sgd --weight_decay=0.00004 --quantize_delay=100 --clone_on_cpu --train_image_size=224 --checkpoint_exclude_scopes=MobilenetV1/Logits --trainable_scopes=MobilenetV1/Logits
WARNING:tensorflow:From train_image_classifier.py:413: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/training/input.py:187: __init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/training/input.py:187: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From train_image_classifier.py:481: softmax_cross_entropy (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.softmax_cross_entropy instead. Note that the order of the logits and labels arguments has been changed.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:398: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.
See `tf.nn.softmax_cross_entropy_with_logits_v2`.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:399: compute_weighted_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.compute_weighted_loss instead.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:147: add_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.add_loss instead.
INFO:tensorflow:Fine-tuning from /tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/slim/python/slim/learning.py:737: __init__ (from tensorflow.python.training.supervisor) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.MonitoredTrainingSession
2019-03-12 11:27:30.706494: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
INFO:tensorflow:Restoring parameters from /tensorflow/models/research/slim/transfer_learn/ckpt/mobilenet_v1_1.0_224_quant.ckpt
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:Recording summary at step 1.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.134039
INFO:tensorflow:Recording summary at step 9.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.149296
INFO:tensorflow:Recording summary at step 18.
INFO:tensorflow:global step 20: loss = 1.8288 (5.751 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.150273
INFO:tensorflow:Recording summary at step 27.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.150492
INFO:tensorflow:Recording summary at step 36.
INFO:tensorflow:global step 40: loss = 1.2239 (5.355 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.147502
INFO:tensorflow:Recording summary at step 45.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.15272
INFO:tensorflow:Recording summary at step 54.
INFO:tensorflow:global step 60: loss = 1.0667 (5.793 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.149623
INFO:tensorflow:Recording summary at step 63.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.13363
INFO:tensorflow:Recording summary at step 72.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global_step/sec: 0.14869
INFO:tensorflow:global step 80: loss = 0.8747 (9.908 sec/step)
INFO:tensorflow:Recording summary at step 80.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 89.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 99.
INFO:tensorflow:global step 100: loss = 0.9789 (5.818 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 108.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 117.
INFO:tensorflow:global step 120: loss = 0.7836 (5.771 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 126.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 135.
INFO:tensorflow:global step 140: loss = 0.7582 (5.641 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 144.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 153.
INFO:tensorflow:global step 160: loss = 0.7289 (5.561 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 162.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 171.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:global step 180: loss = 0.7996 (8.771 sec/step)
INFO:tensorflow:Recording summary at step 180.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 190.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 199.
INFO:tensorflow:global step 200: loss = 0.6564 (6.531 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 208.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 217.
INFO:tensorflow:global step 220: loss = 0.7724 (5.751 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 226.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 236.
INFO:tensorflow:global step 240: loss = 0.7227 (5.387 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 245.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 255.
INFO:tensorflow:global step 260: loss = 0.7362 (5.324 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 264.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 274.
INFO:tensorflow:global step 280: loss = 0.5858 (5.351 sec/step)
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 283.
INFO:tensorflow:Saving checkpoint to path /tensorflow/models/research/slim/transfer_learn/train/model.ckpt
INFO:tensorflow:Recording summary at step 293.
INFO:tensorflow:global step 300: loss = 0.6365 (5.394 sec/step)
INFO:tensorflow:Stopping Training.
INFO:tensorflow:Finished training! Saving model to disk.
masaaki@masaaki-H110M4-M01:~/python-tflite-source/edgetpu$ python3 demo/object_detection.py \
> --model='test_data/mobilenet_ssd_v2_face_quant_postprocess_edgetpu.tflite' \
> --input='test_data/face.jpg'
-----------------------------------------
score = 0.99609375
box = [474.22854804992676, 38.03488787482766, 738.8013491630554, 353.5309683683231]
-----------------------------------------
score = 0.99609375
box = [205.4297697544098, 110.28378465056959, 487.75309658050537, 439.73802454331343]
-----------------------------------------
score = 0.83203125
box = [7.522284880280495, 183.90177454883695, 125.84126299619675, 324.99404113217173]
-----------------------------------------
score = 0.5
box = [859.8422718048096, 213.5472493581642, 1008.978108882904, 383.9367261515483]
Traceback (most recent call last):
File "classification_transfer_learning.py", line 210, in <module>
main()
File "classification_transfer_learning.py", line 179, in main
labels_map = engine.TrainAll(train_input)
File "/home/masaaki/python-tflite-source/edgetpu/learn/imprinting/engine.py", line 20, in TrainAll
ret[self.Train(tensors)] = category
File "/home/masaaki/python-tflite-source/edgetpu/swig/edgetpu_cpp_wrapper.py", line 175, in Train
return _edgetpu_cpp_wrapper.ImprintingEngine_Train(self, input)
TypeError: Cannot cast array data from dtype('O') to dtype('uint8') according to the rule 'safe'
masaaki@masaaki-H110M4-M01:~/python-tflite-source/edgetpu$ python3 demo/object_detection.py \
> --model='test_data/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite' \
> --label='test_data/coco_labels.txt' \
> --input='test_data/open_image_v4_subset/Cat/4278078325_fe95b2d365_o.jpg'
-----------------------------------------
cat
score = 0.7890625
box = [544.3585515022278, 161.8559150240529, 906.7766070365906, 574.1258810512984]
-----------------------------------------
cat
score = 0.5
box = [544.8259115219116, 180.16657727447586, 780.6186676025391, 557.7862670074156]
-----------------------------------------
bench
score = 0.16015625
box = [0.0, 286.536341216696, 1000.0, 664.0]
-----------------------------------------
cup
score = 0.12109375
box = [927.8294444084167, 9.622623872517341, 996.2391257286072, 125.93606662510628]
-----------------------------------------
car
score = 0.12109375
box = [347.52047061920166, 159.55350482883165, 548.1888055801392, 321.0489713965948]
-----------------------------------------
bench
score = 0.12109375
box = [3.985762596130371, 350.9136437171668, 989.7855520248413, 664.0]
-----------------------------------------
cup
score = 0.12109375
box = [829.7642469406128, 9.965896396780732, 932.0130348205566, 139.7531082881755]
-----------------------------------------
bench
score = 0.12109375
box = [17.50752329826355, 482.14271655633826, 998.0459213256836, 664.0]
-----------------------------------------
bench
score = 0.12109375
box = [0.0, 0.0, 339.12184834480286, 514.3285784889106]
-----------------------------------------
cat
score = 0.08984375
box = [407.7613055706024, 186.5492222297132, 986.0997200012207, 610.9205907313668]
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