Problems with the starting

[Undercut]

Hi, Thank you for your sharing and i was still learning your project. However,I met a problem at the starting, i have downloaded the model and datasets, but i just can't test it successfully, and i tried on windows and ubuntu, met the same problem.

Seems like i didnt feed the data to the model, but i really downloaded the datasets, i was trapped here for several days.

D:\VideoSuperResolution-master\Train>python run.py --model vespcn --test vid4 2019-07-13 20:53:26.928211: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 INFO:tensorflow:Fitting: VESPCN frames is empty. [size=800] | 2019-07-13 20:53:27 | Epoch: 1/50 | LR: 0.0001 | 0batch [00:00, ?batch/s] frames is empty. [size=10] Test: 0it [00:00, ?it/s]

Traceback (most recent call last): File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call return fn(*args) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'label' with dtype float and shape [?,3,?,?,3] [[{{node label}} = Placeholder[dtype=DT_FLOAT, shape=[?,3,?,?,3], _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 "run.py", line 46, in tf.app.run(main) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run _sys.exit(main(argv)) File "run.py", line 42, in main return Run.run(*args[0][1:], **additional_functions) File "d:\videosuperresolution-master\VSR\Tools\Run.py", line 322, in run t.fit([train_loader, val_loader], train_config) File "d:\videosuperresolution-master\VSR\Framework\Trainer.py", line 356, in fit self.fn_train_each_epoch() File "d:\videosuperresolution-master\VSR\Framework\Trainer.py", line 272, in fn_train_each_epoch v.summary_writer.add_summary(self.model.summary(), v.global_step) File "d:\videosuperresolution-master\VSR\Framework\SuperResolution.py", line 216, in summary feed_dict=self.feed_dict) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 929, in run run_metadata_ptr) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run run_metadata) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'label' with dtype float and shape [?,3,?,?,3] [[node label (defined at d:\videosuperresolution-master\VSR\Models\Vespcn.py:94) = Placeholder[dtype=DT_FLOAT, shape=[?,3,?,?,3], _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'label', defined at: File "run.py", line 46, in tf.app.run(main) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run _sys.exit(main(argv)) File "run.py", line 42, in main return Run.run(*args[0][1:], *additional_functions) File "d:\videosuperresolution-master\VSR\Tools\Run.py", line 308, in run with trainer(model, root, verbosity) as t: File "d:\videosuperresolution-master\VSR\Framework\Trainer.py", line 109, in enter self._startup() File "d:\videosuperresolution-master\VSR\Framework\Trainer.py", line 103, in _startup self.model.compile() File "d:\videosuperresolution-master\VSR\Framework\SuperResolution.py", line 84, in compile self.build_graph() File "d:\videosuperresolution-master\VSR\Models\Vespcn.py", line 94, in build_graph name='label')) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1747, in placeholder return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6251, in placeholder "Placeholder", dtype=dtype, shape=shape, name=name) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func return func(args, **kwargs) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op op_def=op_def) File "C:\Users\dd823\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 1770, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'label' with dtype float and shape [?,3,?,?,3] [[node label (defined at d:\videosuperresolution-master\VSR\Models\Vespcn.py:94) = Placeholder[dtype=DT_FLOAT, shape=[?,3,?,?,3], _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

[elia86]

Hi, I have encountered same problem . Could you please let me know how you solved it?

[LoSealL]

Your logs?