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jiny2001 / dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
https://arxiv.org/abs/1707.05425
MIT License
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Problem applying SR to custom image placed in the project folder- Urgent resolution requested #122

Open batraamul opened 3 years ago

batraamul commented 3 years ago

DCSCN v2------------------------------------- 2021/4/6 14:4:44 [dcscn_L12_F196to48_NIN_A64_PS_R1F32] Python Interpreter version:3.7 tensorflow version:2.4.1 numpy version:1.19.5 Session and graph initialized. Feature:196 166 148 133 120 108 97 86 76 66 57 48 Total: (1301)64 32 32 384 1 Complexity:1,754,942 Receptive Fields:29 CNN1/conv_W:0 (3, 3, 1, 196)=1764, CNN1/conv_B:0 196, CNN1/prelu/CNN1_prelu:0 196, CNN2/conv_W:0 (3, 3, 196, 166)=292824, CNN2/conv_B:0 166, CNN2/prelu/CNN2_prelu:0 166, CNN3/conv_W:0 (3, 3, 166, 148)=221112, CNN3/conv_B:0 148, CNN3/prelu/CNN3_prelu:0 148, CNN4/conv_W:0 (3, 3, 148, 133)=177156, CNN4/conv_B:0 133, CNN4/prelu/CNN4_prelu:0 133, CNN5/conv_W:0 (3, 3, 133, 120)=143640, CNN5/conv_B:0 120, CNN5/prelu/CNN5_prelu:0 120, CNN6/conv_W:0 (3, 3, 120, 108)=116640, CNN6/conv_B:0 108, CNN6/prelu/CNN6_prelu:0 108, CNN7/conv_W:0 (3, 3, 108, 97)=94284, CNN7/conv_B:0 97, CNN7/prelu/CNN7_prelu:0 97, CNN8/conv_W:0 (3, 3, 97, 86)=75078, CNN8/conv_B:0 86, CNN8/prelu/CNN8_prelu:0 86, CNN9/conv_W:0 (3, 3, 86, 76)=58824, CNN9/conv_B:0 76, CNN9/prelu/CNN9_prelu:0 76, CNN10/conv_W:0 (3, 3, 76, 66)=45144, CNN10/conv_B:0 66, CNN10/prelu/CNN10_prelu:0 66, CNN11/conv_W:0 (3, 3, 66, 57)=33858, CNN11/conv_B:0 57, CNN11/prelu/CNN11_prelu:0 57, CNN12/conv_W:0 (3, 3, 57, 48)=24624, CNN12/conv_B:0 48, CNN12/prelu/CNN12_prelu:0 48, A1/conv_W:0 (1, 1, 1301, 64)=83264, A1/conv_B:0 64, A1/prelu/A1_prelu:0 64, B1/conv_W:0 (1, 1, 1301, 32)=41632, B1/conv_B:0 32, B1/prelu/B1_prelu:0 32, B2/conv_W:0 (3, 3, 32, 32)=9216, B2/conv_B:0 32, B2/prelu/B2_prelu:0 32, Up-PS/Up-PS_CNN/conv_W:0 (3, 3, 96, 384)=331776, Up-PS/Up-PS_CNN/conv_B:0 384, R-CNN1/conv_W:0 (3, 3, 96, 1)=864, Total 48 variables, 1,754,942 params Model initialized. Model restored [ models/dcscn_L12_F196to48_NIN_A64_PS_R1F32.ckpt ]. LoadError Traceback (most recent call last) /content/dcscn-super-resolution/sr.py in () 49 50 if name == 'main': ---> 51 tf.app.run()

5 frames /content/dcscn-super-resolution/helper/utilty.py in load_image(filename, width, height, channels, alignment, print_console) 241 def load_image(filename, width=0, height=0, channels=0, alignment=0, print_console=True): 242 if not os.path.isfile(filename): --> 243 raise LoadError("File not found [%s]" % filename) 244 245 try:

LoadError: File not found [train.JPG]

I have saved the image in the project folder and executed the following line of code run sr.py --file=train.JPG I am getting error as LoadError: File not found [train.JPG]

Kindly help