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Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

License: MIT License

Python 100.00%

tensorflow machine-learning super-resolution computer-vision

edsr-tensorflow's Introduction

EDSR Tensorflow Implementation

An implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution written in tensorflow.

Requirements

Tensorflow
scipy
tqdm
argparse

Installation

pip install -r requirements.txt

Training

In order to train, you'll have to do a few things...

Download a dataset of images (due to my computational limitations, I've used General-100)
Place all the images from that dataset into a directory under this one
run python train.py --dataset data_dir where data_dir is the directory containing your images
In order to view stats during training (image previews, scalar for loss), simply run tensorboard --logdir your_save_directory where your_save_directory is the directory you passed in as the save directory argument for training (saved_models by default)

Training Details

As I've mentioned before, I'm currently faced with some computational limitations, so this caused me to do a few things differently than what is mentioned in the paper. One of the more important changes I've made was using the General-100 dataset, because it's much smaller. I've also trained a network with less layers than the original baseline model as was described in the paper. This, however, can still be done using my code by adjusting some training parameters. I've trained by taking the center 100x100 pixels of each image in General-100, and shrinking them down to 50x50. I then trained an EDSR to resize the 50x50 pixel images back to 100x100. Currently, I use 80% of the dataset as a training set and 20% as a testing set. I trained the EDSR over 1000 iterations using Adam optimizer

Using Trained Network

In order to use trained weights you just have to run this command python test.py. By default, this will take a random sample of five images from your dataset, compute their output, and save it in the out directory. If you'd like to just run superresolution on one image, you can run python test.py --image your_picture where your_picture is the image file you'd like to run superresolution on.

Results

These results were computed on a network using 3 layers, and a feature size of 16. The network was trained to scale 50x50px images to 100x100px for 1000 iterations.

Updates coming soon.......

Original image	Shrunk image	EDSR Output

Future Work

Add MDSR implementation
Train and post results on a larger model and dataset

Pre-trained model

There is a pre-trained model that I have made for the baseline model (default params) using my machine. If you'd like to use it, download the files here. In order to run, create a directory called saved_models and place the files in there. Then you can use test.py to resize images.

edsr-tensorflow's People

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oppa3109 xiaoxinyi ml-lab dip-course benjamesbabala yifanw90 jianweilin shubaozhang kevin-14 donghaima idearibosome windcr ghlemonation jingang-cv prathamsoni go2sea supertonyliu xubaochuan beshining marshb fangliangbai dousong zhaoqike bit1002lst haotianmxu kingaza sxxhg warrentdrew advaza johnnylili zhouliuji99 wenjingkangintel yuckfu echolijinghui mccourt cscyangj lseiyjg xavysp gavin666github robbertonly dongdongrj mynameiziji dearleiii mashoujiang stromwine luxuriance19 githublzb tracy-lee1993 trojanxu lkyee zdrgithub exuejiao csjunxu suke27 lanxbruce jiayu19940411 xjwuie chyanmao a5wwj zj1224 yzyzju zhengwei7 yuliangzhang xinqingbuhao gengjiaqi bageheyalu wallace-he zieglerservice oylz kite-hz emegua sshicheng yexuehua bittergourd1224 yuxiaomu caoling1001 yunlongding ssywzzc wnpllrzodiac wuyiwong bonjuor-zyx jasoncoopercmss wh-forker roshana-naqvi lingsanjianjiban xdyang dada0518 cheng-xg jiuhong lininggggggg baidu-usa-gait-leopard chw0806-github jack-xf digit-jv lvfuqing keivncheng zhanghaoxuan184 mostafabaluchzehi 781303842 liujiaming1996

edsr-tensorflow's Issues

ValueError: setting an array element with a sequence.

persistent error when training due to writing summaries

File "train.py", line 18, in <module>
    network.train(args.iterations,args.savedir)
  File "/home/psoni/EDSR-Tensorflow/model.py", line 222, in train
    t_summary = sess.run(merged,test_feed)
  File "/home/psoni/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run
    run_metadata_ptr)
  File "/home/psoni/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1093, in _run
    np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
  File "/home/psoni/anaconda2/lib/python2.7/site-packages/numpy/core/numeric.py", line 531, in asarray
    return array(a, dtype, copy=False, order=order)

Is weight decay required?

For L2 loss we need a weight decay to prevent over fitting.

Is it required to set a weight decay for L1 loss?

please help me

File "E:\pycharm\mnist_tensorboard_test1\venv\Scripts\data.py", line 70, in get_test_set
get_image(imgs[1], original_size)
IndexError: list index out of range

about output image

what happened about the color of output results

Upsampling for not integer multiple?

How can we get image be upsampled for not integer multiple, such as 480P to 720P, which is 1.5X?
Seems need to re-design the network?

There is obvious border while the content is green.

I follow the guide to do the training and testing. Do you know what the problem it is?

Question over training method

In the training procedure it is unclear how the the inputs and image targets are derived. Would you mind explaining the set_data_fn as it is not very clear.

training problem for tensorflow

i use same network (EDSR) with same dataset. training using pytorch and tensorflow.
but I found the pytorch SR result is obvious better than tensorflow. there are similar ops used both 2 framework. anybody know how to improve in tensorflow?

test.py errors

Thanks for the test.py script, but getting some errors here, it looks like the weights aren't being found in the checkpoint during the restore process. I'm using python 3.5.2 and tensorflow 1.1.0 (gpu). I'm happy to try out some other things to try and get this working. I tried inserting a 'tf.reset_default_graph()' before the restore process, but to no avail. When training, the only thing i changed from the defaults were --dataset and --imgsize
here is my train cmd used:

python3 test.py --dataset /media/sugbuntu/Data/TSA/data/output/stage1_aps_front_crop/ --imgsize 128

`sugbuntu@sugbuntu:~/ml/EDSR-Tensorflow$ python3 test.py --dataset /media/sugbuntu/Data/TSA/data/output/stage1_aps_front_crop/ --imgsize 128
Building EDSR...
2017-07-25 09:31:30.279734: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-25 09:31:30.279752: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-25 09:31:30.279758: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-07-25 09:31:30.279779: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-25 09:31:30.279784: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2017-07-25 09:31:30.393032: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-07-25 09:31:30.393311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 0 with properties: 
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7715
pciBusID 0000:01:00.0
Total memory: 7.92GiB
Free memory: 7.36GiB
2017-07-25 09:31:30.393335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 
2017-07-25 09:31:30.393340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0:   Y 
2017-07-25 09:31:30.393347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)
Done building!
Restoring...
2017-07-25 09:31:30.676009: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
2017-07-25 09:31:30.676679: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.677198: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.677394: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/biases not found in checkpoint
2017-07-25 09:31:30.678313: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.678432: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.678654: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.679109: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.679750: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.680074: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.680097: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.680523: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.681036: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.681337: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.681435: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.681846: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.682255: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.682564: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.682752: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.683063: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.683428: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.683765: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.683970: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.684257: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.684664: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.684969: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.685164: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.685550: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.685913: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.686444: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.686850: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.687899: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.688083: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.688249: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.689113: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.689281: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.689493: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.689779: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.690540: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.690848: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.691314: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.691696: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.691779: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.692192: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.692640: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.692975: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.693065: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.693892: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.694197: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.694248: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.695140: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.695321: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.695446: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.695706: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.696381: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.696770: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.697244: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.697564: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.697725: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.698130: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.698474: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.698781: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.699013: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.699321: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.699659: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.699954: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.700251: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.700553: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.700806: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.701113: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.701409: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.701712: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.702012: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.702503: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.703580: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.703977: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.704232: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.704848: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.705596: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.705832: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.706234: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.706474: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.707488: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.707731: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.707880: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.708060: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.709126: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.709283: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.709448: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.709607: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.710399: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.710609: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.710715: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.710920: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.711398: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.711828: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.712136: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.712945: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.713232: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.714027: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.714310: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.715131: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.715424: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.716229: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.716512: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.717279: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.717561: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.718350: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.718644: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.719437: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.719749: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.720532: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
2017-07-25 09:31:30.720833: W tensorflow/core/framework/op_kernel.cc:1152] Not found: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1039, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1021, in _run_fn
    status, run_metadata)
  File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "test.py", line 24, in <module>
    network.resume(args.savedir)
  File "/home/sugbuntu/ml/EDSR-Tensorflow/model.py", line 117, in resume
    self.saver.restore(self.sess,tf.train.latest_checkpoint(savedir))
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1457, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 778, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 982, in _run
    feed_dict_string, options, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1032, in _do_run
    target_list, options, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1052, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]

Caused by op 'save/RestoreV2_129', defined at:
  File "test.py", line 23, in <module>
    network = EDSR(down_size,args.layers,args.featuresize,scale=args.scale)
  File "/home/sugbuntu/ml/EDSR-Tensorflow/model.py", line 101, in __init__
    self.saver = tf.train.Saver()
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1056, in __init__
    self.build()
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1086, in build
    restore_sequentially=self._restore_sequentially)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 691, in build
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 407, in _AddRestoreOps
    tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 247, in restore_op
    [spec.tensor.dtype])[0])
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 669, in restore_v2
    dtypes=dtypes, name=name)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
    self._traceback = _extract_stack()

NotFoundError (see above for traceback): Key Conv_67/weights not found in checkpoint
	 [[Node: save/RestoreV2_129 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_129/tensor_names, save/RestoreV2_129/shape_and_slices)]]
`

Strange Net output PSNR?

Why this happen?

I did not change net params, and using dataset of my own. PSNR is normal at first , while a big degrade then happed.

Relu is not required out side the residual block

Hi I read the paper and find out that the author did not implement Relu out side the residual block,
which means that the first conv, convs in upsampling block and the conv after the upsampling shouldn't followed by ReLU, but in your code it seems exist, could you please make a double check with that?
Also, may I know why do you disable the last conv layer after the upsampling block?
Please correct me if I make a mistake.

many thanks!

test error

when i test only one image using your trained model,something wrong at
Predicting...
Traceback (most recent call last):
File "test.py", line 29, in
outputs = network.predict(x)
File "/home/dingyuyang/EDSR-Tensorflow-master/model.py", line 172, in predict
return self.sess.run(self.out,feed_dict={self.input:x})
File "/home/dingyuyang/.conda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/home/dingyuyang/.conda/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1128, in _run
str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (50, 50, 3) for Tensor 'Placeholder:0', which has shape '(?, 50, 50, 3)'
can you help me?

ValueError: could not broadcast input array from shape (50,50,3) into shape (50,50)

Why this happen, do we need grey image?

python train.py --dataset train_600x600_to_800x800/data

where train_600x600_to_800x800/data is the image for training.

2x scale photo without downscale

Hi @jmiller656, thank you for your great work, i have some photo want to upscale it by 2x , but after i train the network and try to use it to scale my own photo to 2x , it downscaled and croped, could you please explan to me how can to train the network to upscal 2x dirctly , then how to use test.py to this target .

error in train.py

data.load_dataset(args.dataset,args.imgsize)
if args.imgsize % args.scale != 0:
print("Image size "+{args.imgsize}+ " is not evenly divisible by scale" +{args.scale})
return
what we have return nothing ?

I can't resume training

Hi!
How can I resume training?
It seems PSNR resets everytime I run the traning script again.
Thank you!

How to enlarge the picture 4 double

GPU-Util is zero

Thank you for your sharing code. I met a problem. When I train the model for my data in GPU,the memory-usage is high but the GPU-util is always zero. So training speed is slow. It confuse me very much.

Reproduce result

Very good work :D. Btw, did you reproduce the result in the paper?

14k times------loss suddenly increase

Why does the value of loss suddenly increase and explode when training 14,000 times or so?
The value of loss increased from 1.2 to 16 000

the problem in using my own medical images for training

hey, I have read and used your code for my own data. And my data is not easy to converge, So here is some questions about your code. First, why do you remove the last convention after the up sampling?
Second, as I know, we often normalize our data in the range of 0 to 1, but in your code, the range is from 0 to 255.
Thanks !

ResourceExhaustedError

ResourceExhaustedError when i use biger image. Input images data include 147 img with 1500x1500 , i use "--imgsize=100,200..." However my memory is enough 。i set batch-size =1, but the issue is not be resoved.

train error

Thanks so much for helping me solving the problem which I raised, yesterday, But I have another problem:
2019-03-21 10:31:02.242315: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Done building!
Begin training...
Traceback (most recent call last):
File "train.py", line 21, in
network.train(args.iterations,args.savedir)
File "/home/yuyifan/EDSR-Tensorflow/model.py", line 211, in train
test_x,test_y = self.test_data(*self.test_args)
File "/home/yuyifan/EDSR-Tensorflow/data.py", line 67, in get_test_set
get_image(imgs[0],original_size)
IndexError: list index out of range
I have check the directory, and it hasn't problem.

code

After shrinking the image size by using transform.resize, the image value is in the range of 0-1(float64).
And we are still subtracting the mean of each batch. The mean value is 127 in the code. Is it reasonable?

ValueError: not enough values to unpack (expected 3, got 2)

hi @jmiller656, when i try to trining i found this error

python train.py --dataset F:\EDSR\data\set14

Building EDSR...
2017-09-23 17:28:03.431497: W C:\tf_jenkins\home\workspace\r
ure_guard.cc:45] The TensorFlow library wasn't compiled to u
and could speed up CPU computations.
2017-09-23 17:28:03.431683: W C:\tf_jenkins\home\workspace\r
ure_guard.cc:45] The TensorFlow library wasn't compiled to u
e and could speed up CPU computations.
2017-09-23 17:28:03.738781: I C:\tf_jenkins\home\workspace\r
u\gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 650 Ti BOOST
major: 3 minor: 0 memoryClockRate (GHz) 1.0975
pciBusID 0000:01:00.0
Total memory: 2.00GiB
Free memory: 1.66GiB
2017-09-23 17:28:03.738922: I C:\tf_jenkins\home\workspace\r
u\gpu_device.cc:976] DMA: 0
2017-09-23 17:28:03.739364: I C:\tf_jenkins\home\workspace\r
u\gpu_device.cc:986] 0: Y
2017-09-23 17:28:03.739424: I C:\tf_jenkins\home\workspace\r
u\gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) ->
0:01:00.0)
Done building!
Begin training...
0%|
Traceback (most recent call last):
File "train.py", line 18, in
network.train(args.iterations,args.savedir)
File "F:\EDSR\model.py", line 212, in train
x,y = self.data(*self.args)
File "F:\EDSR\data.py", line 66, in get_batch
img = crop_center(img,original_size,original_size)
File "F:\EDSR\data.py", line 81, in crop_center
y,x,_ = img.shape
ValueError: not enough values to unpack (expected 3, got 2)

how can i fix that please, sorry for wasting your time.

question about subtracting the mean

train error

there is an error happened when running train.py

if args.imgsize % args.scale != 0:
print("Image size "+{args.imgsize}+ " is not evenly divisible by scale" +{args.scale})
return

return
^
SyntaxError: 'return' outside function

train_setOnly 200

I tested it with debug. Your train_set is only 200, and it's not updated. The data used by epoch is the same every 20 times.

How to control the training epochs in the codes ?

Excuse me
In the code we can control the loop by the parameter iterations, but how can we know how many epochs we trained ?
Thanks in advance

proble in test

test time is too high

When testing, if you change the size of the input image, the test time on the GPU will be very long, without changing the size of the image, the second start time will be normal; this problem was not found on the CPU; is this a problem for tensorflow?

The results of the network have black blocks in the lower right corner of the image

sample data?

Ive trained a dataset with your implementation, but Im curious how to pass an input image through the network and get a scaled image?

Checker Board Artifacts Solution?

You mention in your readme the problems you're having with Checker Board Artifacts.

Have you read the distill article on the problem?

It may be what you're looking for.

About image generation

An error occurred when scale was 3

An error occurred when scale was 3.How to solve it?
0%| | 0/1000 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/ivanz/workspace/tensor_sr/EDSR-Tensorflow-master/train.py", line 18, in
network.train(args.iterations,args.savedir)
File "/home/ivanz/workspace/tensor_sr/EDSR-Tensorflow-master/model.py", line 188, in train
summary,_ = sess.run([merged,train_op],feed)
File "/home/ivanz/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run
run_metadata_ptr)
File "/home/ivanz/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1100, in _run
% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (10, 100, 100, 3) for Tensor u'Placeholder_1:0', which has shape '(?, 99, 99, 3)'

how to training MDSR

Hello, in case MDSR, we need training x2 x3 and x4 model one time.
could you help to point that, how to improve train code.

Did you use the GAN structure？

Issue about training my own dataset

Thanks for your sharing, it helps a lot.
But when I use my own images to train, it always show like below:

Traceback (most recent call last):
File "train.py", line 20, in
network.train(args.iterations,args.savedir)
File "/home/zhangyao/kenny/SR/EDSR-Tensorflow/model.py", line 206, in train
test_x,test_y = self.test_data(*self.test_args)
File "/home/zhangyao/kenny/SR/EDSR-Tensorflow/data.py", line 41, in get_test_set
img = crop_center(img,original_size,original_size)
File "/home/zhangyao/kenny/SR/EDSR-Tensorflow/data.py", line 81, in crop_center
y,x,_ = img.shape
ValueError: need more than 2 values to unpack

I was wondering whether it happens because about too small image size.
Look forward for your help~

error in windows

hello i have this error can you help me please and thank you

Traceback (most recent call last):
File "test.py", line 31, in
x,y=data.get_batch(args.numimgs,args.imgsize,down_size)
File "D:\hala\EDSR-Tensorflow-master\data.py", line 67, in get_batch
x_img = scipy.misc.imresize(img,(shrunk_size,shrunk_size))
File "C:\Users\USER\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\scipy\misc\pilutil.py", line 490, in imresize
imnew = im.resize(size, resample=func[interp])
File "C:\Users\USER\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\PIL\Image.py", line 1556, in resize
return self._new(self.im.resize(size, resample))
TypeError: integer argument expected, got float

test error

I‘v download the pre-trained model files, when I run test.py , I meet this error:
( by the way, I put "General-100" in a directory named "data")

Building EDSR...
Done building!
Restoring...
INFO:tensorflow:Restoring parameters from saved_models\model
Restored!
No image argument given
Traceback (most recent call last):

File "", line 1, in
runfile('C:/Users/Administrator/Desktop/non-local/CODE/EDSR-Tensorflow-master/test.py', wdir='C:/Users/Administrator/Desktop/non-local/CODE/EDSR-Tensorflow-master')

File "E:\anaconda\envs\python27\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 704, in runfile
execfile(filename, namespace)

File "E:\anaconda\envs\python27\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Administrator/Desktop/non-local/CODE/EDSR-Tensorflow-master/test.py", line 28, in
inputs = x

NameError: name 'x' is not defined

test_size in load_dataset

First of all, in load_dataset in data.py I have to make this change,
coords = [(q, r) for q in range(coords_x) for r in range(coords_y)]
to
coords = [ (q,r) for q in range(int(coords_x)) for r in range(int(coords_y)) ]
otherwise, the except will trigger for all images.

You go on to define
test_size = min(10,int( len(imgs)*0.2))
where imgs are images with coordinates ([0,0], [0,1]... [1,0],[1,1]...) appended to them.

But this doesnt reserve 20 images for testing, because len(imgs) = 1448 and you take the min of that and 10 (which is always 10) to define
test_set = imgs[:test_size]
train_set = imgs[test_size:][:200]

So you have a test_set, containing 10 image- & coordinate combinations, and a test set 20 times larger containing 200 image- and coordinate combinations.

I thought the idea was to set apart 20 % of the images to a test set and 80 % for training, and additionally obtain the coordinates for the central 100 pixels in all of them?

What are the changes compared to the original paper?

Hi,

Thank you for the code.
Can you please elaborate on what are your changes compared to the original article? I didn't understand the explanation in the README.
I am trying to understand what to change in the code, if I want the same implementation as in the paper.

I've implemented a Keras version of EDSR

https://github.com/Golbstein/EDSR-Keras

issue when scale is larger than 2

Hi,

I built and run this code, it works very good, Thanks! only one issue is: when I set scale > 2 (like 3 or 4), I got errors, like the following, could you help us update some code so we can set scale as 4? Thanks!

python test.py --image orig_01.jpg --savedir ./saved_models --scale 4

/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/h5py/init.py:36: 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
Building EDSR...
2018-02-23 16:26:57.346452: 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
Done building!
Restoring...
2018-02-23 16:26:57.677459: W tensorflow/core/framework/op_kernel.cc:1198] Not found: Key Conv_68/weights not found in checkpoint
2018-02-23 16:26:57.683096: W tensorflow/core/framework/op_kernel.cc:1198] Not found: Key Conv_68/biases not found in checkpoint
Traceback (most recent call last):
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _do_call
return fn(*args)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1329, in _run_fn
status, run_metadata)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv_68/weights not found in checkpoint
[[Node: save/RestoreV2_131 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_131/tensor_names, save/RestoreV2_131/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "test.py", line 23, in
network.resume(args.savedir)
File "/home/bxu/bxu/ai/tensorflow_test/super-resolution/EDSR-Tensorflow-master/model.py", line 131, in resume
self.saver.restore(self.sess,tf.train.latest_checkpoint(savedir))
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1686, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 895, in run
run_metadata_ptr)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1128, in _run
feed_dict_tensor, options, run_metadata)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1344, in _do_run
options, run_metadata)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1363, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv_68/weights not found in checkpoint
[[Node: save/RestoreV2_131 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_131/tensor_names, save/RestoreV2_131/shape_and_slices)]]

Caused by op 'save/RestoreV2_131', defined at:
File "test.py", line 22, in
network = EDSR(down_size,args.layers,args.featuresize,scale=args.scale)
File "/home/bxu/bxu/ai/tensorflow_test/super-resolution/EDSR-Tensorflow-master/model.py", line 115, in init
self.saver = tf.train.Saver()
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1239, in init
self.build()
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1248, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1284, in _build
build_save=build_save, build_restore=build_restore)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 765, in _build_internal
restore_sequentially, reshape)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 428, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 268, in restore_op
[spec.tensor.dtype])[0])
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1031, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3160, in create_op
op_def=op_def)
File "/home/bxu/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Key Conv_68/weights not found in checkpoint
[[Node: save/RestoreV2_131 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_131/tensor_names, save/RestoreV2_131/shape_and_slices)]]

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