Harryjun
commented
4 years ago You should modify common_params.py, add image_width
Open elchem96 opened 5 years ago
Harryjun
commented
4 years ago You should modify common_params.py, add image_width
I trained my network with my own data set and got the .pb file, but I can't run transform.py This is the error I get. I get stuck in orig_names.map(load_image, num_parallel_calls=10) There were some errors in the train code too like locations of files so I think this one is relative to it. Can you please check this? I put the .pb file in export/(Date)/ like you did. (But it was made inside my checkpoint folder. I think this is another error in train.py) + I can not transform using your pb file.
WARNING: Logging before flag parsing goes to stderr. W0907 01:16:41.153303 140425955747584 deprecation_wrapper.py:119] From /media/kaist/새 볼륨1/CycleGan-anime-tensorflow/code/mod-cycle-gan/cycle/_model.py:446: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.
W0907 01:16:41.156838 140425955747584 deprecation_wrapper.py:119] From transform.py:174: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.
using images in path: ./test_data/Coco-stuff/*.jpg will transform 8 images: rundir: 2019-09-04--17-15-0 cpdir: ../../checkpoint model loaded, starting with inference W0907 01:16:41.162252 140425955747584 deprecation_wrapper.py:119] From transform.py:93: The name tf.read_file is deprecated. Please use tf.io.read_file instead.
W0907 01:16:41.169234 140425955747584 deprecation.py:323] From transform.py:111: ignore_errors (from tensorflow.contrib.data.python.ops.error_ops) is deprecated and will be removed in a future version. Instructions for updating: Use
tf.data.experimental.ignore_errors(). W0907 01:16:41.175783 140425955747584 deprecation_wrapper.py:119] From /media/kaist/새 볼륨1/CycleGan-anime-tensorflow/code/mod-cycle-gan/images_to_tfrecord.py:32: The name tf.image.resize_image_with_pad is deprecated. Please use tf.compat.v1.image.resize_image_with_pad instead.Traceback (most recent call last): File "transform.py", line 174, in
tf.app.run()
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "transform.py", line 151, in main
transform_files(im_paths)
File "transform.py", line 113, in transform_files
reshaped_images = orig_images.map(reshape_image, num_parallel_calls=10)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1776, in map
self, map_func, num_parallel_calls, preserve_cardinality=False))
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 3228, in init
use_legacy_function=use_legacy_function)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2555, in init
self._function = wrapper_fn._get_concrete_function_internal()
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1355, in _get_concrete_function_internal
*args, kwargs)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1349, in _get_concrete_function_internal_garbage_collected
graphfunction, , _ = self._maybe_define_function(args, kwargs)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1652, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1545, in _create_graph_function
capture_by_value=self._capture_by_value),
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py", line 715, in func_graph_from_py_func
func_outputs = python_func(*func_args, *func_kwargs)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2549, in wrapper_fn
ret = _wrapper_helper(args)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2489, in _wrapper_helper
ret = func(nested_args)
File "transform.py", line 99, in reshape_image
image = process_sample_tf(image, True)
File "/media/kaist/새 볼륨1/CycleGan-anime-tensorflow/code/mod-cycle-gan/images_to_tfrecord.py", line 32, in process_sample_tf
return tf.image.resize_image_with_pad(image, IMAGE_HEIGHT, IMAGE_WIDTH)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1429, in resize_image_with_pad_v1
_resize_fn)
File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1335, in _resize_image_with_pad_common
assert_ops += _assert(target_width > 0, ValueError,
TypeError: '>' not supported between instances of 'NoneType' and 'int'
E0907 01:16:41.250029 140425955747584 tf_should_use.py:71] ==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>):
<tf.Operation 'resize_image_with_pad/assert_greater_equal/Assert/Assert' type=Assert>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "transform.py", line 174, in
tf.app.run() File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 310, in run
raise File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv)) File "transform.py", line 151, in main
transform_files(im_paths) File "transform.py", line 118, in transform_files
feeder = iterator.get_next() File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1776, in map
self, map_func, num_parallel_calls, preserve_cardinality=False)) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 3228, in init
use_legacy_function=use_legacy_function) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2557, in init
self._function.add_to_graph(ops.get_default_graph()) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1355, in _get_concrete_function_internal
args, kwargs) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1349, in _get_concrete_function_internal_garbage_collected
graphfunction, , _ = self._maybe_define_function(args, kwargs) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1654, in _maybe_define_function
return graph_function, args, kwargs File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1545, in _create_graph_function
capture_by_value=self._capture_by_value), File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py", line 755, in func_graph_from_py_func
func_graph.variables = variables File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2549, in wrapper_fn
ret = _wrapper_helper(args) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2489, in _wrapper_helper
ret = func(nested_args) File "transform.py", line 99, in reshape_image
image = process_sample_tf(image, True) File "/media/kaist/새 볼륨1/CycleGan-anime-tensorflow/code/mod-cycle-gan/images_to_tfrecord.py", line 32, in process_sample_tf
return tf.image.resize_image_with_pad(image, IMAGE_HEIGHT, IMAGE_WIDTH) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1429, in resize_image_with_pad_v1
_resize_fn) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1387, in _resize_image_with_pad_common
return padded File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 237, in _CheckAtLeast3DImage
message="'image' must be at least three-dimensional.") File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 1119, in assert_greater_equal
return control_flow_ops.Assert(condition, data, summarize=summarize) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
E0907 01:16:41.250370 140425955747584 tf_should_use.py:71] ================================== Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>): <tf.Operation 'resize_image_with_pad/assert_positive/assert_less/Assert/Assert' type=Assert> If you want to mark it as used call its "mark_used()" method. It was originally created here: File "transform.py", line 174, in
tf.app.run() File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 310, in run
raise File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv)) File "transform.py", line 151, in main
transform_files(im_paths) File "transform.py", line 118, in transform_files
feeder = iterator.get_next() File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1776, in map
self, map_func, num_parallel_calls, preserve_cardinality=False)) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 3228, in init
use_legacy_function=use_legacy_function) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2557, in init
self._function.add_to_graph(ops.get_default_graph()) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1355, in _get_concrete_function_internal
*args, *kwargs) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1349, in _get_concrete_function_internal_garbage_collected
graphfunction, , _ = self._maybe_define_function(args, kwargs) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1654, in _maybe_define_function
return graph_function, args, kwargs File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 1545, in _create_graph_function
capture_by_value=self._capture_by_value), File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py", line 755, in func_graph_from_py_func
func_graph.variables = variables File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2549, in wrapper_fn
ret = _wrapper_helper(args) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 2489, in _wrapper_helper
ret = func(nested_args) File "transform.py", line 99, in reshape_image
image = process_sample_tf(image, True) File "/media/kaist/새 볼륨1/CycleGan-anime-tensorflow/code/mod-cycle-gan/images_to_tfrecord.py", line 32, in process_sample_tf
return tf.image.resize_image_with_pad(image, IMAGE_HEIGHT, IMAGE_WIDTH) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1429, in resize_image_with_pad_v1
_resize_fn) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 1387, in _resize_image_with_pad_common
return padded File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/image_ops_impl.py", line 237, in _CheckAtLeast3DImage
message="'image' must be at least three-dimensional.") File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 267, in assert_positive
return assert_less(zero, x, data=data, summarize=summarize) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 862, in assert_less
return control_flow_ops.Assert(condition, data, summarize=summarize) File "/home/kaist/anaconda3/envs/Tensorflow/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(args, **kwargs))
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