{"action":"created","issue":{"url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/52","repository_url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution","labels_url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/52/labels{/name}","comments_url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/52/comments","events_url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/52/events","html_url":"https://github.com/jiny2001/dcscn-super-resolution/issues/52","id":359623348,"node_id":"MDU6SXNzdWUzNTk2MjMzNDg=","number":52,"title":"IndexError: tuple index out of range","user":{"login":"ManoaNosea","id":7376591,"node_id":"MDQ6VXNlcjczNzY1OTE=","avatar_url":"https://avatars2.githubusercontent.com/u/7376591?v=4","gravatar_id":"","url":"https://api.github.com/users/ManoaNosea","html_url":"https://github.com/ManoaNosea","followers_url":"https://api.github.com/users/ManoaNosea/followers","following_url":"https://api.github.com/users/ManoaNosea/following{/other_user}","gists_url":"https://api.github.com/users/ManoaNosea/gists{/gist_id}","starred_url":"https://api.github.com/users/ManoaNosea/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ManoaNosea/subscriptions","organizations_url":"https://api.github.com/users/ManoaNosea/orgs","repos_url":"https://api.github.com/users/ManoaNosea/repos","events_url":"https://api.github.com/users/ManoaNosea/events{/privacy}","received_events_url":"https://api.github.com/users/ManoaNosea/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":40,"created_at":"2018-09-12T19:39:27Z","updated_at":"2018-09-20T04:45:46Z","closed_at":null,"author_association":"NONE","body":"[code]λ python train.py --dataset=d3mod --test_dataset=d3mod --training_images=10000 --scale=4 --batch_image_size=32 --load_model_name=dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32\r\nPython Interpreter version:3.6\r\ntensorflow version:1.10.0\r\nnumpy version:1.15.1\r\nSession and graph initialized.\r\n2018-09-05 08:38:47.943314: I T:\\src\\github\\tensorflow\\tensorflow\\core\\platform\\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2\r\n\r\nDCSCN v2-------------------------------------\r\n2018/9/5 8:38:47 [dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32]\r\nFeature:196 166 148 133 120 108 97 86 76 66 57 48  Total: (1301)64 32 32 384 384 1  Complexity:2,087,102 Receptive Fields:31\r\nCNN1/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, Up-PS2/Up-PS2_CNN/conv_W:0 (3, 3, 96, 384)=331776, Up-PS2/Up-PS2_CNN/conv_B:0 384, R-CNN1/conv_W:0 (3, 3, 96, 1)=864,\r\nTotal 50 variables, 2,087,102 params\r\n\r\n['train.py', '--dataset=d3mod', '--test_dataset=d3mod', '--training_images=10000', '--scale=4', '--batch_image_size=32', '--load_model_name=dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32']\r\nTest Data:d3mod Training Data:d3mod\r\nTotal 50 variables, 2,087,102 params\r\nModel initialized.\r\nModel restored [ models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt ].\r\n2018/9/5 22:31:10 Step:500 MSE:66.682597 PSNR:32.850105 (Training PSNR:29.614)\r\nEpoch:1 LR:0.002000 (99.874sec/step) Estimated:860:1:44\r\nModel saved [models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt].\r\n2018/9/6 11:24:55 Step:1,000 MSE:67.102101 PSNR:32.840218 (Training PSNR:29.562)\r\nEpoch:2 LR:0.002000 (96.362sec/step) Estimated:816:24:0\r\n2018/9/6 21:59:50 Step:1,500 MSE:69.199837 PSNR:32.730230 (Training PSNR:29.580)\r\nEpoch:3 LR:0.002000 (89.638sec/step) Estimated:746:59:14\r\n2018/9/7 7:41:1 Step:2,000 MSE:69.631049 PSNR:32.728237 (Training PSNR:29.669)\r\nEpoch:4 LR:0.002000 (84.664sec/step) Estimated:693:46:32\r\n2018/9/7 17:40:36 Step:2,500 MSE:66.676837 PSNR:32.839433 (Training PSNR:29.601)\r\nEpoch:5 LR:0.002000 (82.121sec/step) Estimated:661:31:57\r\nModel saved [models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt].\r\n2018/9/8 8:19:59 Step:3,000 MSE:67.324006 PSNR:33.034465 (Training PSNR:29.695)\r\nEpoch:6 LR:0.002000 (86.022sec/step) Estimated:681:0:30\r\n2018/9/8 18:41:57 Step:3,500 MSE:67.447070 PSNR:32.828747 (Training PSNR:29.598)\r\nEpoch:7 LR:0.002000 (84.396sec/step) Estimated:656:24:36\r\n2018/9/9 5:30:3 Step:4,000 MSE:68.921682 PSNR:32.748964 (Training PSNR:29.595)\r\nEpoch:8 LR:0.002000 (83.568sec/step) Estimated:638:21:49\r\n2018/9/9 15:13:45 Step:4,500 MSE:68.116025 PSNR:32.804590 (Training PSNR:29.617)\r\nEpoch:9 LR:0.002000 (82.065sec/step) Estimated:615:29:12\r\n2018/9/10 2:17:7 Step:5,000 MSE:65.741960 PSNR:32.927936 (Training PSNR:29.781)\r\nEpoch:10 LR:0.001000 (81.819sec/step) Estimated:602:16:42\r\nModel saved [models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt].\r\n2018/9/10 12:31:12 Step:5,500 MSE:66.552805 PSNR:33.113582 (Training PSNR:29.761)\r\nEpoch:11 LR:0.001000 (81.080sec/step) Estimated:585:34:36\r\n2018/9/10 23:27:13 Step:6,000 MSE:65.824963 PSNR:33.129789 (Training PSNR:29.791)\r\nEpoch:12 LR:0.001000 (80.883sec/step) Estimated:572:55:27\r\n2018/9/11 11:22:29 Step:6,500 MSE:65.602884 PSNR:32.914902 (Training PSNR:29.766)\r\nEpoch:13 LR:0.001000 (81.264sec/step) Estimated:564:20:2\r\nModel saved [models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt].\r\n2018/9/11 22:18:10 Step:7,000 MSE:65.433686 PSNR:32.934760 (Training PSNR:29.876)\r\nEpoch:14 LR:0.001000 (81.080sec/step) Estimated:551:47:30\r\nModel saved [models/dcscn_L12_F196to48_Sc4_NIN_A64_PS_R1F32.ckpt].\r\n2018/9/12 11:8:49 Step:7,500 MSE:65.672880 PSNR:32.935713 (Training PSNR:29.839)\r\nEpoch:15 LR:0.001000 (81.839sec/step) Estimated:545:35:47\r\n2018/9/12 21:21:33 Step:8,000 MSE:66.061536 PSNR:32.918553 (Training PSNR:29.839)\r\nEpoch:16 LR:0.001000 (81.320sec/step) Estimated:530:50:21\r\nTraceback (most recent call last):\r\n  File \"train.py\", line 123, in <module>\r\n    tf.app.run()\r\n  File \"D:\\Programs64\\Python-3.6.5\\lib\\site-packages\\tensorflow\\python\\platform\\app.py\", line 125, in run\r\n    _sys.exit(main(argv))\r\n  File \"train.py\", line 44, in main\r\n    mse = train(model, FLAGS, i)\r\n  File \"train.py\", line 74, in train\r\n    model.build_input_batch()\r\n  File \"Y:\\theshitt-backup\\Projects\\AINeuralNetSuperRes\\dc5\\dcscn-super-resolution-master\\DCSCN.py\", line 182, in build_input_batch\r\n    self.batch_input[i], self.batch_input_bicubic[i], self.batch_true[i] = self.train.load_batch_image()\r\n  File \"Y:\\theshitt-backup\\Projects\\AINeuralNetSuperRes\\dc5\\dcscn-super-resolution-master\\helper\\loader.py\", line 309, in load_batch_image\r\n    image = self.load_random_patch(self.filenames[self.get_next_image_no()])\r\n  File \"Y:\\theshitt-backup\\Projects\\AINeuralNetSuperRes\\dc5\\dcscn-super-resolution-master\\helper\\loader.py\", line 320, in load_random_patch\r\n    image = util.load_image(filename, print_console=False)\r\n  File \"Y:\\theshitt-backup\\Projects\\AINeuralNetSuperRes\\dc5\\dcscn-super-resolution-master\\helper\\utilty.py\", line 247, in load_image\r\n    if image.shape[2] >= 4:\r\nIndexError: tuple index out of range[/code]\r\n\r\nhi, I report this problem I don't know what it's :x"},"comment":{"url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/comments/423038574","html_url":"https://github.com/jiny2001/dcscn-super-resolution/issues/52#issuecomment-423038574","issue_url":"https://api.github.com/repos/jiny2001/dcscn-super-resolution/issues/52","id":423038574,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMzAzODU3NA==","user":{"login":"ManoaNosea","id":7376591,"node_id":"MDQ6VXNlcjczNzY1OTE=","avatar_url":"https://avatars2.githubusercontent.com/u/7376591?v=4","gravatar_id":"","url":"https://api.github.com/users/ManoaNosea","html_url":"https://github.com/ManoaNosea","followers_url":"https://api.github.com/users/ManoaNosea/followers","following_url":"https://api.github.com/users/ManoaNosea/following{/other_user}","gists_url":"https://api.github.com/users/ManoaNosea/gists{/gist_id}","starred_url":"https://api.github.com/users/ManoaNosea/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ManoaNosea/subscriptions","organizations_url":"https://api.github.com/users/ManoaNosea/orgs","repos_url":"https://api.github.com/users/ManoaNosea/repos","events_url":"https://api.github.com/users/ManoaNosea/events{/privacy}","received_events_url":"https://api.github.com/users/ManoaNosea/received_events","type":"User","site_admin":false},"created_at":"2018-09-20T04:45:46Z","updated_at":"2018-09-20T04:45:46Z","author_association":"NONE","body":"im not sure this is problem with model size :x"}}
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