tegg89 / SRCNN-Tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
MIT License
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No test result #20

Closed huangchaoxing closed 6 years ago

huangchaoxing commented 6 years ago

when i ran the sentence, python main.py --is_train False --stride 21, I COULD only find one image in the file sample, i am not sure where the SR result is ...

PrathamSoni commented 6 years ago

Test_image.png is the SR result. You can find the original in your test folder

huangchaoxing commented 6 years ago

@PrathamSoni when i ran the sentence python main.py --is_train False --stride 21, i find that the output shrink from 256256 to 231231, any idea why the heck this happen ?

PrathamSoni commented 6 years ago

It deletes some of the padding area.

On Sat, Mar 10, 2018 at 9:23 PM, huangchaoxing notifications@github.com wrote:

@PrathamSoni https://github.com/prathamsoni when i ran the sentence python main.py --is_train False --stride 21, i find that the output shrink from 256256 to 231231, any idea why the heck this happen ?

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/tegg89/SRCNN-Tensorflow/issues/20#issuecomment-372083974, or mute the thread https://github.com/notifications/unsubscribe-auth/ATogiJo1QVZdo8yWrshY703qpHuDp1wyks5tdIqbgaJpZM4SlhkF .

nobody-cheng commented 6 years ago

请问你这个问题解决了吗?

niuniu111 commented 6 years ago

I tested nothing and I didn't know what was going on.

Marshall-yao commented 5 years ago

Hello,when i ran the sentence python main.py --is_train False --stride 21, i find that test could not run.The result is shown below: 2019-02-19 15:34:31.849830: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2019-02-19 15:34:32.215031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: name: GeForce GTX TITAN X major: 5 minor: 2 memoryClockRate(GHz): 1.076 pciBusID: 0000:82:00.0 totalMemory: 11.93GiB freeMemory: 1.51GiB 2019-02-19 15:34:32.215092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX TITAN X, pci bus id: 0000:82:00.0, compute capability: 5.2) WARNING:tensorflow:From /home/songhuihui/anaconda3/envs/tf_env/lib/python3.5/site-packages/tensorflow/python/util/tf_should_use.py:107: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02. Instructions for updating: Use tf.global_variables_initializer instead. [] Reading checkpoints... [] Load SUCCESS Testing... (tf_env) songhuihui@node2:~/usrs/yaolu/tf/reproSRCNN/tegg$

how could i run test code? thanks a lot

vinovsmamba commented 5 years ago

why when I ran the sentence python main.py --is_train False --stride 21, it still goes train process?

(tensorflow) F:\F_coding\other\1_SRCNN-Tensorflow-master>python main.py --is_train False --stride 21 C:\Users\xxxx\AppData\Roaming\Python\Python36\site-packages\h5py__init__.py:34: 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 {'batch_size': <absl.flags._flag.Flag object at 0x000001F92171B400>, 'c_dim': <absl.flags._flag.Flag object at 0x000001F92B640B38>, 'checkpoint_dir': <absl.flags._flag.Flag object at 0x000001F92B640D30>, 'epoch': <absl.flags._flag.Flag object at 0x000001F92172F4E0>, 'h': <tensorflow.python.platform.app._HelpFlag object at 0x000001F92B640EB8>, 'help': <tensorflow.python.platform.app._HelpFlag object at 0x000001F92B640EB8>, 'helpfull': <tensorflow.python.platform.app._HelpfullFlag object at 0x000001F92B640F28>, 'helpshort': <tensorflow.python.platform.app._HelpshortFlag object at 0x000001F92B640F98>, 'image_size': <absl.flags._flag.Flag object at 0x000001F923CEAF28>, 'is_train': <absl.flags._flag.BooleanFlag object at 0x000001F92B640DD8>, 'label_size': <absl.flags._flag.Flag object at 0x000001F925DAB780>, 'learning_rate': <absl.flags._flag.Flag object at 0x000001F92B3E9128>, 'sample_dir': <absl.flags._flag.Flag object at 0x000001F92B640DA0>, 'scale': <absl.flags._flag.Flag object at 0x000001F92B640BE0>, 'stride': <absl.flags._flag.Flag object at 0x000001F92B640C88>} 2019-04-12 16:47:53.584329: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 2019-04-12 16:47:53.814883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties: name: GeForce GTX 1060 major: 6 minor: 1 memoryClockRate(GHz): 1.6705 pciBusID: 0000:01:00.0 totalMemory: 3.00GiB freeMemory: 2.42GiB 2019-04-12 16:47:53.836075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0 2019-04-12 16:47:54.455790: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-04-12 16:47:54.465749: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0 2019-04-12 16:47:54.472550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N 2019-04-12 16:47:54.480301: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2109 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0, compute capability: 6.1) WARNING:tensorflow:From D:\scholarship\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. WARNING:tensorflow:From D:\scholarship\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\util\tf_should_use.py:193: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02. Instructions for updating: Use tf.global_variables_initializer instead. [] Reading checkpoints... WARNING:tensorflow:From D:\scholarship\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. [] Load SUCCESS Training... Epoch: [ 1], step: [10], time: [1.2915], loss: [0.00145336] Epoch: [ 1], step: [20], time: [1.3823], loss: [0.00140325] Epoch: [ 1], step: [30], time: [1.4721], loss: [0.00168100] Epoch: [ 1], step: [40], time: [1.5599], loss: [0.00023895] ………………

I ran it on Anaconda Prompt in tensorflow environment. It trains well but just can't test. I have to rewrite the code to change the number and string in flags.DEFINE.