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jiny2001 / deeply-recursive-cnn-tf

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
Apache License 2.0
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The problem of not fount files during testing #11

Open zcy1996 opened 5 years ago

zcy1996 commented 5 years ago

When I test with a trained model, I use the command: python test.py --dataSet14 --inference_depth 9 --feature_num 96 has the following error

Features:96 Inference Depth:9 Initial LR:0.00100 [model_F96_D9_LR0.001000] (3, 3, 1, 96)-864, (96,)-96, (3, 3, 96, 96)-82944, (96,)-96, (3, 3, 96, 96)-82944, (96,)-96, (3, 3, 96, 96)-82944, (96,)-96, (3, 3, 97, 1)-873, (1,)-1, (9,)-9, Total 11 variables, 250,963 params Model restored. Traceback (most recent call last): File "test.py", line 82, in if name == 'main': File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 125, in run _sys.exit(main(argv)) File "test.py", line 78, in main model.init_all_variables(load_initial_data=FLAGS.load_model) File "E:\程序\deeply-recursive-cnn-tf-master\super_resolution.py", line 446, in do_super_resolution org_image = util.load_image(file_path) File "E:\程序\deeply-recursive-cnn-tf-master\super_resolution_utilty.py", line 205, in load_image raise LoadError("File not found [%s]" % filename) super_resolution_utilty.LoadError: File not found []

jiny2001 commented 5 years ago

Hi, can you try like this? I guess new tensorflow has different arg parser.

python test.py --data=set14 --inference_depth=9 --feature_num=96

zcy1996 commented 5 years ago

Hello, thank you very much for your reply.I'm sorry to bother you.I also have some questions need to be consulted. The program can't be tested. When I run with your command, the following results appear： (base) E:\程序\deeply-recursive-cnn-tf-master>python test.py --data = Set14 --inference_depth = 9 --feature_num = 96 Traceback (most recent call last): File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_flag.py", line 181, in _parse return self.parser.parse(argument) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_argument_parser.py", line 152, in parse val = self.convert(argument) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_argument_parser.py", line 265, in convert return int(argument, base) ValueError: invalid literal for int() with base 10: '='

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "test.py", line 82, in if name == 'main': File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 119, in run argv = flags.FLAGS(_sys.argv if argv is None else argv, known_only=True) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\flags.py", line 112, in call return self.dict['wrapped'].call(*args, **kwargs) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_flagvalues.py", line 626, in call__ unknown_flags, unparsed_args = self._parse_args(args, known_only) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_flagvalues.py", line 774, in _parse_args flag.parse(value) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_flag.py", line 166, in parse self.value = self._parse(argument) File "C:\Users\lenovo\AppData\Roaming\Python\Python36\site-packages\absl\flags_flag.py", line 184, in _parse 'flag --%s=%s: %s' % (self.name, argument, e)) absl.flags._exceptions.IllegalFlagValueError: flag --inference_depth==: invalid literal for int() with base 10: '='