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Hi,
I'm trying to compile mobilenet tensorflow classifier on custom data, mobilenet_v1_1.0_128
. I've tried using tensorflow 1.7 as well as 1.6 with no success.
I'm using latest ncsdk 1 and the Makefile for the mobilenets from the ncappzoo, the master branch, changed it in order to use my own training output.
The tensorflow training outputs 3 files data-00000-of-00001
, index
and meta
, just like the files the example uses from the mobilenet_v1_1.0_128_2017_06_14.tar.gz
I encounter the following:
Freezing model for inference...
(cd model; python3 /home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py \
--input_graph=mobilenet_v1_1.0_128.pb \
--input_binary=true \
--input_checkpoint=mobilenet_v1_1.0_128.ckpt \
--output_graph=mobilenet_v1_1.0_128_frozen.pb \
--output_node_name=MobilenetV1/Predictions/Reshape_1;)
/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
/home/ubuntu/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:1067: UserWarning: Duplicate key in file "/home/ubuntu/.config/matplotlib/matplotlibrc", line #2
(fname, cnt))
/home/ubuntu/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:1067: UserWarning: Duplicate key in file "/home/ubuntu/.config/matplotlib/matplotlibrc", line #3
(fname, cnt))
WARNING:tensorflow:From /home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
2018-06-27 12:19:29.932559: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Traceback (most recent call last):
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 382, in <module>
run_main()
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 379, in run_main
app.run(main=my_main, argv=[sys.argv[0]] + unparsed)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 378, in <lambda>
my_main = lambda unused_args: main(unused_args, flags)
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 272, in main
flags.saved_model_tags, checkpoint_version)
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 254, in freeze_graph
checkpoint_version=checkpoint_version)
File "/home/ubuntu/ncappzoo/tensorflow/mobilenets/../tf_src/tensorflow/tensorflow/python/tools/freeze_graph.py", line 128, in freeze_graph_with_def_protos
var_list=var_list, write_version=checkpoint_version)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1311, in __init__
self.build()
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1320, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1345, in _build
raise ValueError("No variables to save")
ValueError: No variables to save
Makefile:80: recipe for target 'freeze' failed
make: *** [freeze] Error 1
Any advice?
Thanks,
filip.
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Hi @Tome_at_Intel,
sure, thanks for helping.
https://drive.google.com/drive/folders/1W8AF0xbD2v9DLvHT7118q9TtLyur42B3
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Any luck @Tome_at_Intel ?
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I've retrained the model using this retraining script from the tensorflow hub.
this is how I run the training:
python retrain.py \
--image_dir ~/human_class \
--tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v1_100_128/classification/1
I've tried doing the same with feature_vector
instead of classification
, but I'm encountering the same problem.
I couldn't find anything related to from_detection_checkpoint
for mobilenet classification.
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