mintanwei / cycle-ir Goto Github PK

train_CycleIR.py以及test_CycleIR.py文件缺失，checkpoint训练好的模型文件也缺失，工作无法复现！

Hello, do you intend to release weights or at least the train_CycleIR.py file? One of these (preferably the weights) would be required to compare to your method.

Hi, I want to use this code for inference. I couldn't run this code and author didn't share pretrained model but, I different article, they used this method for comparison. How I can do that?
Anybody can help me?
@mintanwei

Hi. if you could run and train the model please let me know? I need any codes can be train.
Anybody could implement these code with tensorflow 2.x.
@mintanwei

Traceback (most recent call last):
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call
return fn(*args)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested more than 0 entries, but params is empty. Params shape: [0,0,3]
[[Node: while/GatherNd_2 = GatherNd[Tindices=DT_INT32, Tparams=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](while/transpose_1, while/stack_3/_10383)]]
[[Node: while_3/cond_1/while/cond/mul_8/_10811 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_29310_while_3/cond_1/while/cond/mul_8", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train_CycleIR.py", line 208, in
tf.app.run()
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "train_CycleIR.py", line 196, in main
_, generator_loss = sess.run([opt_g, CycleLoss], feed_dict=feed_dict)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested more than 0 entries, but params is empty. Params shape: [0,0,3]
[[Node: while/GatherNd_2 = GatherNd[Tindices=DT_INT32, Tparams=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](while/transpose_1, while/stack_3/_10383)]]
[[Node: while_3/cond_1/while/cond/mul_8/_10811 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_29310_while_3/cond_1/while/cond/mul_8", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Caused by op 'while/GatherNd_2', defined at:
File "train_CycleIR.py", line 208, in
tf.app.run()
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "train_CycleIR.py", line 160, in main
opt_g, aspect_ratio, images, CycleLoss, images_LR, AttentionMap, input_size, Sh, Sw = build_graph()
File "train_CycleIR.py", line 80, in build_graph
images_LR = reconstruct_image(images, Sh, Sw, input_size, aspect_ratio)
File "/home/zm/wd/Cycle-IR/Circle_reconstruct_image.py", line 85, in reconstruct_image
ta_final_result = resize_images(images, aspect_ratio, input_size, B, M, N, newH, newW)
File "/home/zm/wd/Cycle-IR/Circle_reconstruct_image.py", line 38, in resize_images
n, img_final = tf.while_loop(condition, body, init_state)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3224, in while_loop
result = loop_context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2956, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2893, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/zm/wd/Cycle-IR/Circle_reconstruct_image.py", line 35, in body
ta_final_result = ResizeImage(ta_final_result, tf.constant([1., 0, 0, 0, 1., 0]), out_dims=out_dims)
File "/home/zm/wd/Cycle-IR/image_resizing.py", line 14, in ResizeImage
out_fmap = bilinear_sampler(input_fmap, x_s, y_s)
File "/home/zm/wd/Cycle-IR/image_resizing.py", line 72, in bilinear_sampler
Ic = get_pixel_value(img, x1, y0) # x0, y0-1
File "/home/zm/wd/Cycle-IR/image_resizing.py", line 20, in get_pixel_value
return tf.gather_nd(img, indices)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2975, in gather_nd
"GatherNd", params=params, indices=indices, name=name)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/Anaconda3/envs/tf18/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Requested more than 0 entries, but params is empty. Params shape: [0,0,3]
[[Node: while/GatherNd_2 = GatherNd[Tindices=DT_INT32, Tparams=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](while/transpose_1, while/stack_3/_10383)]]
[[Node: while_3/cond_1/while/cond/mul_8/_10811 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_29310_while_3/cond_1/while/cond/mul_8", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

As far as I know this is the only project to do image retargeting with deep-learning.
Really interested to see it working..
Done with all requirements
Donwloaded vgg16.npy and vgg16.py from https://github.com/machrisaa/tensorflow-vgg in VGG_MODEL folder
commented out all assert instructions from vgg16.py
Now stuck with this error

ubuntu@vega:~/Cycle-IR$ python3 CycleIR.py
npy file loaded
build model started
Traceback (most recent call last):
File "CycleIR.py", line 204, in
tf.app.run()
File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "CycleIR.py", line 190, in main
opt_g, aspect_ratio, images, CycleLoss, images_LR, AttentionMap, input_size, Sh, Sw = build_graph()
File "CycleIR.py", line 93, in build_graph
Sh, Sw, AttentionMap = CycleIR(images, reuse=False)
File "CycleIR.py", line 27, in CycleIR
vgg.build(images)
File "/home/ubuntu/Cycle-IR/VGG_MODEL/vgg16.py", line 69, in build
self.fc6 = self.fc_layer(self.pool5, "fc6")
File "/home/ubuntu/Cycle-IR/VGG_MODEL/vgg16.py", line 106, in fc_layer
dim *= d
TypeError: unsupported operand type(s) for *=: 'int' and 'NoneType'

你好，请问这个工作的论文有上传到arXiv吗？

Hi,

I try to implement your code.

I downloaded VGG16 model from https://github.com/machrisaa/tensorflow-vgg and put it in my_vgg folder. However, when I run the program, it shows the log like this. Could you help me with this error? Thank you.

E:\ProgramData\Anaconda3\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from floattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
npy file loaded
build model started
Traceback (most recent call last):

File "", line 1, in
runfile('F:/code/Cycle-IR-master/Cycle-IR-master/train_CycleIR.py', wdir='F:/code/Cycle-IR-master/Cycle-IR-master')

File "E:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)

File "E:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "F:/code/Cycle-IR-master/Cycle-IR-master/train_CycleIR.py", line 208, in
tf.app.run()

File "E:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))

File "F:/code/Cycle-IR-master/Cycle-IR-master/train_CycleIR.py", line 160, in main
opt_g, aspect_ratio, images, CycleLoss, images_LR, AttentionMap, input_size, Sh, Sw = build_graph()

File "F:/code/Cycle-IR-master/Cycle-IR-master/train_CycleIR.py", line 79, in build_graph
Sh, Sw, AttentionMap = CycleIR(images, reuse=False)

File "F:/code/Cycle-IR-master/Cycle-IR-master/train_CycleIR.py", line 22, in CycleIR
vgg.build(images)

File "F:\code\Cycle-IR-master\Cycle-IR-master\VGG_MODEL\vgg16.py", line 36, in build
assert red.get_shape().as_list()[1:] == [224, 224, 1]

AssertionError`